Football_Event_Analysis-SONNA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Football Events and Game Information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "imports and initialization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import zipfile\n",
    "%matplotlib inline \n",
    "import numpy as np \n",
    "import scipy as sp \n",
    "import matplotlib as mpl\n",
    "import matplotlib.cm as cm \n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd \n",
    "pd.set_option('display.width', 500)\n",
    "pd.set_option('display.max_columns', 100)\n",
    "pd.set_option('display.notebook_repr_html', True)\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from operator import itemgetter\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploring the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_events = pd.read_csv(\"events.csv\")\n",
    "df_game_info = pd.read_csv(\"ginf.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# understand the values of some columns in events df\n",
    "encoding = pd.read_table('dictionary.txt', delim_whitespace=False, names=('num','events'))\n",
    "event_type=encoding[1:13]\n",
    "event_type_2=encoding[14:18]\n",
    "side=encoding[19:21]\n",
    "shot_place=encoding[22:35]\n",
    "shot_outcome=encoding[36:40]\n",
    "location=encoding[41:60]\n",
    "bodypart=encoding[61:64]\n",
    "assist_method=encoding[65:70]\n",
    "situition=encoding[71:75]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num</th>\n",
       "      <th>events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>1</td>\n",
       "      <td>Pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2</td>\n",
       "      <td>Cross</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>3</td>\n",
       "      <td>Headed pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>4</td>\n",
       "      <td>Through ball</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num        events\n",
       "65   0          None\n",
       "66   1          Pass\n",
       "67   2         Cross\n",
       "68   3   Headed pass\n",
       "69   4  Through ball"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assist_method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# manually convert the dictionary.txt to python dicts\n",
    "event_types = {1:'Attempt', 2:'Corner', 3:'Foul', 4:'Yellow card', 5:'Second yellow card', 6:'Red card', 7:'Substitution', 8:'Free kick won', 9:'Offside', 10:'Hand ball', 11:'Penalty conceded'}\n",
    "event_types2 = {12:'Key Pass', 13:'Failed through ball', 14:'Sending off', 15:'Own goal'}\n",
    "sides = {1:'Home', 2:'Away'}\n",
    "shot_places = {1:'Bit too high', 2:'Blocked', 3:'Bottom left corner', 4:'Bottom right corner', 5:'Centre of the goal', 6:'High and wide', 7:'Hits the bar', 8:'Misses to the left', 9:'Misses to the right', 10:'Too high', 11:'Top centre of the goal', 12:'Top left corner', 13:'Top right corner'}\n",
    "shot_outcomes = {1:'On target', 2:'Off target', 3:'Blocked', 4:'Hit the bar'}\n",
    "locations = {1:'Attacking half', 2:'Defensive half', 3:'Centre of the box', 4:'Left wing', 5:'Right wing', 6:'Difficult angle and long range', 7:'Difficult angle on the left', 8:'Difficult angle on the right', 9:'Left side of the box', 10:'Left side of the six yard box', 11:'Right side of the box', 12:'Right side of the six yard box', 13:'Very close range', 14:'Penalty spot', 15:'Outside the box', 16:'Long range', 17:'More than 35 yards', 18:'More than 40 yards', 19:'Not recorded'}\n",
    "bodyparts = {1:'right foot', 2:'left foot', 3:'head'}\n",
    "assist_methods = {0:np.nan, 1:'Pass', 2:'Cross', 3:'Headed pass', 4:'Through ball'}\n",
    "situations = {1:'Open play', 2:'Set piece', 3:'Corner', 4:'Free kick'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Mapping the dicts onto the events dataframe\n",
    "df_events['event_type'] =   df_events['event_type'].map(event_types)\n",
    "df_events['event_type2'] =  df_events['event_type2'].map(event_types2)\n",
    "df_events['side'] =         df_events['side'].map(sides)\n",
    "df_events['shot_place'] =   df_events['shot_place'].map(shot_places)\n",
    "df_events['shot_outcome']=  df_events['shot_outcome'].map(shot_outcomes)\n",
    "df_events['location'] =     df_events['location'].map(locations)\n",
    "df_events['bodypart'] =     df_events['bodypart'].map(bodyparts)\n",
    "df_events['assist_method']= df_events['assist_method'].map(assist_methods)\n",
    "df_events['situation'] =    df_events['situation'].map(situations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## Naming the leagues with their popular names, which will make thinks much clear for us\n",
    "leagues = {'E0': 'Premier League', 'SP1': 'La Liga',\n",
    "          'I1': 'Serie A', 'F1': 'League One', 'D1': 'Bundesliga'}\n",
    "\n",
    "## Map them to events\n",
    "df_game_info.league = df_game_info.league.map(leagues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10112 entries, 0 to 10111\n",
      "Data columns (total 18 columns):\n",
      "id_odsp      10112 non-null object\n",
      "link_odsp    10112 non-null object\n",
      "adv_stats    10112 non-null bool\n",
      "date         10112 non-null object\n",
      "league       10112 non-null object\n",
      "season       10112 non-null int64\n",
      "country      10112 non-null object\n",
      "ht           10112 non-null object\n",
      "at           10112 non-null object\n",
      "fthg         10112 non-null int64\n",
      "ftag         10112 non-null int64\n",
      "odd_h        10112 non-null float64\n",
      "odd_d        10112 non-null float64\n",
      "odd_a        10112 non-null float64\n",
      "odd_over     977 non-null float64\n",
      "odd_under    977 non-null float64\n",
      "odd_bts      977 non-null float64\n",
      "odd_bts_n    977 non-null float64\n",
      "dtypes: bool(1), float64(7), int64(3), object(7)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df_game_info.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Idea: Predict Missing odds with Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_game_info.season = df_game_info.season.astype('category')\n",
    "df_game_info.league = df_game_info.league.astype('category')\n",
    "df_game_info.country = df_game_info.country.astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Bundesliga, League One, Premier League, La Liga, Serie A]\n",
       "Categories (5, object): [Bundesliga, League One, Premier League, La Liga, Serie A]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_game_info.league.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# df_game_info.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Pre-processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make it in One Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_odsp</th>\n",
       "      <th>id_event</th>\n",
       "      <th>sort_order</th>\n",
       "      <th>time</th>\n",
       "      <th>text</th>\n",
       "      <th>event_type</th>\n",
       "      <th>event_type2</th>\n",
       "      <th>side</th>\n",
       "      <th>event_team</th>\n",
       "      <th>opponent</th>\n",
       "      <th>player</th>\n",
       "      <th>player2</th>\n",
       "      <th>player_in</th>\n",
       "      <th>player_out</th>\n",
       "      <th>shot_place</th>\n",
       "      <th>shot_outcome</th>\n",
       "      <th>is_goal</th>\n",
       "      <th>location</th>\n",
       "      <th>bodypart</th>\n",
       "      <th>assist_method</th>\n",
       "      <th>situation</th>\n",
       "      <th>fast_break</th>\n",
       "      <th>link_odsp</th>\n",
       "      <th>adv_stats</th>\n",
       "      <th>date</th>\n",
       "      <th>league</th>\n",
       "      <th>season</th>\n",
       "      <th>country</th>\n",
       "      <th>ht</th>\n",
       "      <th>at</th>\n",
       "      <th>fthg</th>\n",
       "      <th>ftag</th>\n",
       "      <th>odd_h</th>\n",
       "      <th>odd_d</th>\n",
       "      <th>odd_a</th>\n",
       "      <th>odd_over</th>\n",
       "      <th>odd_under</th>\n",
       "      <th>odd_bts</th>\n",
       "      <th>odd_bts_n</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Attempt missed. Mladen Petric (Hamburg) left f...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>mladen petric</td>\n",
       "      <td>gokhan tore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>High and wide</td>\n",
       "      <td>Off target</td>\n",
       "      <td>0</td>\n",
       "      <td>Left side of the box</td>\n",
       "      <td>left foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>Corner,  Borussia Dortmund. Conceded by Dennis...</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>dennis diekmeier</td>\n",
       "      <td>dennis diekmeier</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Corner,  Borussia Dortmund. Conceded by Heiko ...</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>heiko westermann</td>\n",
       "      <td>heiko westermann</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit4</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Foul by Sven Bender (Borussia Dortmund).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>sven bender</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit5</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>Gokhan Tore (Hamburg) wins a free kick in the ...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>gokhan tore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit6</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>Hand ball by Jose Paolo Guerrero (Hamburg).</td>\n",
       "      <td>Hand ball</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>jose paolo guerrero</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Corner,  Hamburg. Conceded by Lukasz Piszczek.</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>lukasz piszczek</td>\n",
       "      <td>lukasz piszczek</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>Chris Lowe (Borussia Dortmund) wins a free kic...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>chris lowe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit9</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>Foul by Gojko Kacar (Hamburg).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>gojko kacar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit10</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>Foul by Gokhan Tore (Hamburg).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>gokhan tore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit11</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>Sven Bender (Borussia Dortmund) wins a free ki...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>sven bender</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Left wing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit12</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>Attempt missed. Shinji Kagawa (Borussia Dortmu...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>shinji kagawa</td>\n",
       "      <td>mario gotze</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Top right corner</td>\n",
       "      <td>Off target</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit13</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>Foul by Gojko Kacar (Hamburg).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>gojko kacar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit14</td>\n",
       "      <td>14</td>\n",
       "      <td>17</td>\n",
       "      <td>Goal!  Borussia Dortmund 1, Hamburg 0. Kevin G...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>kevin grosskreutz</td>\n",
       "      <td>mario gotze</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bottom right corner</td>\n",
       "      <td>On target</td>\n",
       "      <td>1</td>\n",
       "      <td>Left side of the box</td>\n",
       "      <td>left foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit15</td>\n",
       "      <td>15</td>\n",
       "      <td>19</td>\n",
       "      <td>Attempt blocked. Mats Hummels (Borussia Dortmu...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>mats hummels</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit16</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>Foul by Sven Bender (Borussia Dortmund).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>sven bender</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit17</td>\n",
       "      <td>17</td>\n",
       "      <td>20</td>\n",
       "      <td>Mladen Petric (Hamburg) wins a free kick in th...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>mladen petric</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Attacking half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit18</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>Attempt blocked. Tomas Rincon (Hamburg) right ...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>tomas rincon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit19</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>Shinji Kagawa (Borussia Dortmund) hits the rig...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>shinji kagawa</td>\n",
       "      <td>lukasz piszczek</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hits the bar</td>\n",
       "      <td>Hit the bar</td>\n",
       "      <td>0</td>\n",
       "      <td>Centre of the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit20</td>\n",
       "      <td>20</td>\n",
       "      <td>25</td>\n",
       "      <td>Corner,  Borussia Dortmund. Conceded by Dennis...</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>dennis diekmeier</td>\n",
       "      <td>dennis diekmeier</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit21</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>Attempt blocked. Ilkay Gundogan (Borussia Dort...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>ilkay gundogan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>left foot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit22</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>Corner,  Borussia Dortmund. Conceded by Heiko ...</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>heiko westermann</td>\n",
       "      <td>heiko westermann</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit23</td>\n",
       "      <td>23</td>\n",
       "      <td>26</td>\n",
       "      <td>Attempt saved. Mats Hummels (Borussia Dortmund...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>mats hummels</td>\n",
       "      <td>chris lowe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Centre of the goal</td>\n",
       "      <td>On target</td>\n",
       "      <td>0</td>\n",
       "      <td>Centre of the box</td>\n",
       "      <td>head</td>\n",
       "      <td>Cross</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit24</td>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>Lukasz Piszczek (Borussia Dortmund) wins a fre...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>lukasz piszczek</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit25</td>\n",
       "      <td>25</td>\n",
       "      <td>27</td>\n",
       "      <td>Foul by Gokhan Tore (Hamburg).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>gokhan tore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit26</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>Attempt missed. Shinji Kagawa (Borussia Dortmu...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>shinji kagawa</td>\n",
       "      <td>kevin grosskreutz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Misses to the right</td>\n",
       "      <td>Off target</td>\n",
       "      <td>0</td>\n",
       "      <td>Left side of the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit27</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>Goal!  Borussia Dortmund 2, Hamburg 0. Mario G...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>mario gotze</td>\n",
       "      <td>robert lewandowski</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Centre of the goal</td>\n",
       "      <td>On target</td>\n",
       "      <td>1</td>\n",
       "      <td>Centre of the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit28</td>\n",
       "      <td>28</td>\n",
       "      <td>31</td>\n",
       "      <td>Foul by Kevin Grosskreutz (Borussia Dortmund).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>kevin grosskreutz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit29</td>\n",
       "      <td>29</td>\n",
       "      <td>31</td>\n",
       "      <td>Gokhan Tore (Hamburg) wins a free kick on the ...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>gokhan tore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Right wing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>UFot0hit/</td>\n",
       "      <td>UFot0hit30</td>\n",
       "      <td>30</td>\n",
       "      <td>32</td>\n",
       "      <td>Roman Weidenfeller (Borussia Dortmund) wins a ...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>roman weidenfeller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/germany/bundesliga-2011-2012/dortmund-...</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-08-05</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>2012</td>\n",
       "      <td>germany</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Hamburg SV</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1.56</td>\n",
       "      <td>4.41</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940979</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E98</td>\n",
       "      <td>98</td>\n",
       "      <td>78</td>\n",
       "      <td>Attempt blocked. Ervin Zukanovic (Atalanta) he...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>ervin zukanovic</td>\n",
       "      <td>alejandro gomez</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>0</td>\n",
       "      <td>Left side of the six yard box</td>\n",
       "      <td>head</td>\n",
       "      <td>Cross</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940980</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E99</td>\n",
       "      <td>99</td>\n",
       "      <td>79</td>\n",
       "      <td>Alessandro Bastoni (Atalanta) wins a free kick...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>alessandro bastoni</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940981</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E100</td>\n",
       "      <td>100</td>\n",
       "      <td>79</td>\n",
       "      <td>Foul by Luis Muriel (Sampdoria).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>luis muriel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940982</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E101</td>\n",
       "      <td>101</td>\n",
       "      <td>80</td>\n",
       "      <td>Corner,  Atalanta. Conceded by Daniel Pavlovic.</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940983</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E102</td>\n",
       "      <td>102</td>\n",
       "      <td>81</td>\n",
       "      <td>Attempt blocked. Remo Freuler (Atalanta) right...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>remo freuler</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>Blocked</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940984</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E103</td>\n",
       "      <td>103</td>\n",
       "      <td>81</td>\n",
       "      <td>Offside, Atalanta. Remo Freuler tries a throug...</td>\n",
       "      <td>Offside</td>\n",
       "      <td>Failed through ball</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>ervin zukanovic</td>\n",
       "      <td>remo freuler</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940985</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E104</td>\n",
       "      <td>104</td>\n",
       "      <td>81</td>\n",
       "      <td>Ervin Zukanovic (Atalanta) wins a free kick in...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>ervin zukanovic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Attacking half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940986</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E105</td>\n",
       "      <td>105</td>\n",
       "      <td>81</td>\n",
       "      <td>Foul by Filip Djuricic (Sampdoria).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>filip djuricic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940987</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E106</td>\n",
       "      <td>106</td>\n",
       "      <td>81</td>\n",
       "      <td>Filip Djuricic (Sampdoria) is shown the yellow...</td>\n",
       "      <td>Yellow card</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>filip djuricic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940988</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E107</td>\n",
       "      <td>107</td>\n",
       "      <td>83</td>\n",
       "      <td>Substitution, Sampdoria. Ante Budimir replaces...</td>\n",
       "      <td>Substitution</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ante budimir</td>\n",
       "      <td>bruno fernandes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940989</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E108</td>\n",
       "      <td>108</td>\n",
       "      <td>83</td>\n",
       "      <td>Foul by Ervin Zukanovic (Atalanta).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>ervin zukanovic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940990</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E109</td>\n",
       "      <td>109</td>\n",
       "      <td>83</td>\n",
       "      <td>Patrik Schick (Sampdoria) wins a free kick on ...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>patrik schick</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Right wing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940991</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E110</td>\n",
       "      <td>110</td>\n",
       "      <td>84</td>\n",
       "      <td>Attempt missed. Alberto Grassi (Atalanta) righ...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>alberto grassi</td>\n",
       "      <td>remo freuler</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Too high</td>\n",
       "      <td>Off target</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940992</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E111</td>\n",
       "      <td>111</td>\n",
       "      <td>86</td>\n",
       "      <td>Attempt saved. Alejandro Gomez (Atalanta) righ...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>alejandro gomez</td>\n",
       "      <td>andrea petagna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Centre of the goal</td>\n",
       "      <td>On target</td>\n",
       "      <td>0</td>\n",
       "      <td>Left side of the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940993</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E112</td>\n",
       "      <td>112</td>\n",
       "      <td>87</td>\n",
       "      <td>Attempt saved. Fabio Quagliarella (Sampdoria) ...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>fabio quagliarella</td>\n",
       "      <td>luis muriel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Centre of the goal</td>\n",
       "      <td>On target</td>\n",
       "      <td>0</td>\n",
       "      <td>Outside the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Open play</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940994</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E113</td>\n",
       "      <td>113</td>\n",
       "      <td>87</td>\n",
       "      <td>Alejandro Gomez (Atalanta) wins a free kick in...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>alejandro gomez</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Attacking half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940995</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E114</td>\n",
       "      <td>114</td>\n",
       "      <td>87</td>\n",
       "      <td>Foul by Ante Budimir (Sampdoria).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>ante budimir</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940996</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E115</td>\n",
       "      <td>115</td>\n",
       "      <td>88</td>\n",
       "      <td>Substitution, Atalanta. Rafael Toloi replaces ...</td>\n",
       "      <td>Substitution</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rafael toloi</td>\n",
       "      <td>alejandro gomez</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940997</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E116</td>\n",
       "      <td>116</td>\n",
       "      <td>88</td>\n",
       "      <td>Andrea Petagna (Atalanta) wins a free kick in ...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>andrea petagna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Attacking half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940998</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E117</td>\n",
       "      <td>117</td>\n",
       "      <td>88</td>\n",
       "      <td>Foul by Milan Skriniar (Sampdoria).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>milan skriniar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940999</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E118</td>\n",
       "      <td>118</td>\n",
       "      <td>89</td>\n",
       "      <td>Milan Skriniar (Sampdoria) is shown the yellow...</td>\n",
       "      <td>Yellow card</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>milan skriniar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941000</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E119</td>\n",
       "      <td>119</td>\n",
       "      <td>89</td>\n",
       "      <td>Corner,  Atalanta. Conceded by Daniel Pavlovic.</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941001</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E120</td>\n",
       "      <td>120</td>\n",
       "      <td>92</td>\n",
       "      <td>Alessandro Bastoni (Atalanta) wins a free kick...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>alessandro bastoni</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941002</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E121</td>\n",
       "      <td>121</td>\n",
       "      <td>92</td>\n",
       "      <td>Foul by Ante Budimir (Sampdoria).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>ante budimir</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941003</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E122</td>\n",
       "      <td>122</td>\n",
       "      <td>92</td>\n",
       "      <td>Foul by Leonardo Spinazzola (Atalanta).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>leonardo spinazzola</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941004</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E123</td>\n",
       "      <td>123</td>\n",
       "      <td>92</td>\n",
       "      <td>Lucas Torreira (Sampdoria) wins a free kick in...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>lucas torreira</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Defensive half</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941005</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E124</td>\n",
       "      <td>124</td>\n",
       "      <td>93</td>\n",
       "      <td>Corner,  Sampdoria. Conceded by Andrea Masiello.</td>\n",
       "      <td>Corner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941006</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E125</td>\n",
       "      <td>125</td>\n",
       "      <td>93</td>\n",
       "      <td>Attempt missed. Fabio Quagliarella (Sampdoria)...</td>\n",
       "      <td>Attempt</td>\n",
       "      <td>Key Pass</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>fabio quagliarella</td>\n",
       "      <td>lucas torreira</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Misses to the left</td>\n",
       "      <td>Off target</td>\n",
       "      <td>0</td>\n",
       "      <td>Left side of the box</td>\n",
       "      <td>right foot</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Corner</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941007</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E126</td>\n",
       "      <td>126</td>\n",
       "      <td>94</td>\n",
       "      <td>Alberto Grassi (Atalanta) wins a free kick on ...</td>\n",
       "      <td>Free kick won</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Home</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>alberto grassi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Left wing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941008</th>\n",
       "      <td>z5L2OT5E/</td>\n",
       "      <td>z5L2OT5E127</td>\n",
       "      <td>127</td>\n",
       "      <td>94</td>\n",
       "      <td>Foul by Pedro Pereira (Sampdoria).</td>\n",
       "      <td>Foul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Away</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>pedro pereira</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>/soccer/italy/serie-a/atalanta-sampdoria-z5L2O...</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-01-22</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2017</td>\n",
       "      <td>italy</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.07</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>941009 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id_odsp     id_event  sort_order  time                                               text     event_type          event_type2  side         event_team           opponent               player             player2     player_in       player_out           shot_place shot_outcome  is_goal                       location    bodypart assist_method  situation  fast_break                                          link_odsp adv_stats        date      league  season  country                 ht  \\\n",
       "0       UFot0hit/    UFot0hit1           1     2  Attempt missed. Mladen Petric (Hamburg) left f...        Attempt             Key Pass  Away         Hamburg SV  Borussia Dortmund        mladen petric         gokhan tore           NaN              NaN        High and wide   Off target        0           Left side of the box   left foot          Pass  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "1       UFot0hit/    UFot0hit2           2     4  Corner,  Borussia Dortmund. Conceded by Dennis...         Corner                  NaN  Home  Borussia Dortmund         Hamburg SV     dennis diekmeier    dennis diekmeier           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "2       UFot0hit/    UFot0hit3           3     4  Corner,  Borussia Dortmund. Conceded by Heiko ...         Corner                  NaN  Home  Borussia Dortmund         Hamburg SV     heiko westermann    heiko westermann           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "3       UFot0hit/    UFot0hit4           4     7           Foul by Sven Bender (Borussia Dortmund).           Foul                  NaN  Home  Borussia Dortmund         Hamburg SV          sven bender                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "4       UFot0hit/    UFot0hit5           5     7  Gokhan Tore (Hamburg) wins a free kick in the ...  Free kick won                  NaN  Away         Hamburg SV  Borussia Dortmund          gokhan tore                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "5       UFot0hit/    UFot0hit6           6     9        Hand ball by Jose Paolo Guerrero (Hamburg).      Hand ball                  NaN  Away         Hamburg SV  Borussia Dortmund  jose paolo guerrero                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "6       UFot0hit/    UFot0hit7           7    10     Corner,  Hamburg. Conceded by Lukasz Piszczek.         Corner                  NaN  Away         Hamburg SV  Borussia Dortmund      lukasz piszczek     lukasz piszczek           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "7       UFot0hit/    UFot0hit8           8    11  Chris Lowe (Borussia Dortmund) wins a free kic...  Free kick won                  NaN  Home  Borussia Dortmund         Hamburg SV           chris lowe                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "8       UFot0hit/    UFot0hit9           9    11                     Foul by Gojko Kacar (Hamburg).           Foul                  NaN  Away         Hamburg SV  Borussia Dortmund          gojko kacar                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "9       UFot0hit/   UFot0hit10          10    13                     Foul by Gokhan Tore (Hamburg).           Foul                  NaN  Away         Hamburg SV  Borussia Dortmund          gokhan tore                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "10      UFot0hit/   UFot0hit11          11    14  Sven Bender (Borussia Dortmund) wins a free ki...  Free kick won                  NaN  Home  Borussia Dortmund         Hamburg SV          sven bender                 NaN           NaN              NaN                  NaN          NaN        0                      Left wing         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "11      UFot0hit/   UFot0hit12          12    14  Attempt missed. Shinji Kagawa (Borussia Dortmu...        Attempt             Key Pass  Home  Borussia Dortmund         Hamburg SV        shinji kagawa         mario gotze           NaN              NaN     Top right corner   Off target        0                Outside the box  right foot          Pass  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "12      UFot0hit/   UFot0hit13          13    14                     Foul by Gojko Kacar (Hamburg).           Foul                  NaN  Away         Hamburg SV  Borussia Dortmund          gojko kacar                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "13      UFot0hit/   UFot0hit14          14    17  Goal!  Borussia Dortmund 1, Hamburg 0. Kevin G...        Attempt             Key Pass  Home  Borussia Dortmund         Hamburg SV    kevin grosskreutz         mario gotze           NaN              NaN  Bottom right corner    On target        1           Left side of the box   left foot          Pass  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "14      UFot0hit/   UFot0hit15          15    19  Attempt blocked. Mats Hummels (Borussia Dortmu...        Attempt                  NaN  Home  Borussia Dortmund         Hamburg SV         mats hummels                 NaN           NaN              NaN              Blocked      Blocked        0                Outside the box  right foot           NaN  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "15      UFot0hit/   UFot0hit16          16    20           Foul by Sven Bender (Borussia Dortmund).           Foul                  NaN  Home  Borussia Dortmund         Hamburg SV          sven bender                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "16      UFot0hit/   UFot0hit17          17    20  Mladen Petric (Hamburg) wins a free kick in th...  Free kick won                  NaN  Away         Hamburg SV  Borussia Dortmund        mladen petric                 NaN           NaN              NaN                  NaN          NaN        0                 Attacking half         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "17      UFot0hit/   UFot0hit18          18    20  Attempt blocked. Tomas Rincon (Hamburg) right ...        Attempt                  NaN  Away         Hamburg SV  Borussia Dortmund         tomas rincon                 NaN           NaN              NaN              Blocked      Blocked        0                Outside the box  right foot           NaN  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "18      UFot0hit/   UFot0hit19          19    25  Shinji Kagawa (Borussia Dortmund) hits the rig...        Attempt             Key Pass  Home  Borussia Dortmund         Hamburg SV        shinji kagawa     lukasz piszczek           NaN              NaN         Hits the bar  Hit the bar        0              Centre of the box  right foot          Pass  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "19      UFot0hit/   UFot0hit20          20    25  Corner,  Borussia Dortmund. Conceded by Dennis...         Corner                  NaN  Home  Borussia Dortmund         Hamburg SV     dennis diekmeier    dennis diekmeier           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "20      UFot0hit/   UFot0hit21          21    25  Attempt blocked. Ilkay Gundogan (Borussia Dort...        Attempt                  NaN  Home  Borussia Dortmund         Hamburg SV       ilkay gundogan                 NaN           NaN              NaN              Blocked      Blocked        0                Outside the box   left foot           NaN  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "21      UFot0hit/   UFot0hit22          22    25  Corner,  Borussia Dortmund. Conceded by Heiko ...         Corner                  NaN  Home  Borussia Dortmund         Hamburg SV     heiko westermann    heiko westermann           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "22      UFot0hit/   UFot0hit23          23    26  Attempt saved. Mats Hummels (Borussia Dortmund...        Attempt             Key Pass  Home  Borussia Dortmund         Hamburg SV         mats hummels          chris lowe           NaN              NaN   Centre of the goal    On target        0              Centre of the box        head         Cross  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "23      UFot0hit/   UFot0hit24          24    27  Lukasz Piszczek (Borussia Dortmund) wins a fre...  Free kick won                  NaN  Home  Borussia Dortmund         Hamburg SV      lukasz piszczek                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "24      UFot0hit/   UFot0hit25          25    27                     Foul by Gokhan Tore (Hamburg).           Foul                  NaN  Away         Hamburg SV  Borussia Dortmund          gokhan tore                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "25      UFot0hit/   UFot0hit26          26    28  Attempt missed. Shinji Kagawa (Borussia Dortmu...        Attempt             Key Pass  Home  Borussia Dortmund         Hamburg SV        shinji kagawa   kevin grosskreutz           NaN              NaN  Misses to the right   Off target        0           Left side of the box  right foot          Pass  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "26      UFot0hit/   UFot0hit27          27    29  Goal!  Borussia Dortmund 2, Hamburg 0. Mario G...        Attempt             Key Pass  Home  Borussia Dortmund         Hamburg SV          mario gotze  robert lewandowski           NaN              NaN   Centre of the goal    On target        1              Centre of the box  right foot          Pass  Open play           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "27      UFot0hit/   UFot0hit28          28    31     Foul by Kevin Grosskreutz (Borussia Dortmund).           Foul                  NaN  Home  Borussia Dortmund         Hamburg SV    kevin grosskreutz                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "28      UFot0hit/   UFot0hit29          29    31  Gokhan Tore (Hamburg) wins a free kick on the ...  Free kick won                  NaN  Away         Hamburg SV  Borussia Dortmund          gokhan tore                 NaN           NaN              NaN                  NaN          NaN        0                     Right wing         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "29      UFot0hit/   UFot0hit30          30    32  Roman Weidenfeller (Borussia Dortmund) wins a ...  Free kick won                  NaN  Home  Borussia Dortmund         Hamburg SV   roman weidenfeller                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/germany/bundesliga-2011-2012/dortmund-...      True  2011-08-05  Bundesliga    2012  germany  Borussia Dortmund   \n",
       "...           ...          ...         ...   ...                                                ...            ...                  ...   ...                ...                ...                  ...                 ...           ...              ...                  ...          ...      ...                            ...         ...           ...        ...         ...                                                ...       ...         ...         ...     ...      ...                ...   \n",
       "940979  z5L2OT5E/   z5L2OT5E98          98    78  Attempt blocked. Ervin Zukanovic (Atalanta) he...        Attempt             Key Pass  Home           Atalanta          Sampdoria      ervin zukanovic     alejandro gomez           NaN              NaN              Blocked      Blocked        0  Left side of the six yard box        head         Cross  Open play           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940980  z5L2OT5E/   z5L2OT5E99          99    79  Alessandro Bastoni (Atalanta) wins a free kick...  Free kick won                  NaN  Home           Atalanta          Sampdoria   alessandro bastoni                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940981  z5L2OT5E/  z5L2OT5E100         100    79                   Foul by Luis Muriel (Sampdoria).           Foul                  NaN  Away          Sampdoria           Atalanta          luis muriel                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940982  z5L2OT5E/  z5L2OT5E101         101    80    Corner,  Atalanta. Conceded by Daniel Pavlovic.         Corner                  NaN  Home           Atalanta          Sampdoria                  NaN                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940983  z5L2OT5E/  z5L2OT5E102         102    81  Attempt blocked. Remo Freuler (Atalanta) right...        Attempt                  NaN  Home           Atalanta          Sampdoria         remo freuler                 NaN           NaN              NaN              Blocked      Blocked        0                Outside the box  right foot           NaN  Open play           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940984  z5L2OT5E/  z5L2OT5E103         103    81  Offside, Atalanta. Remo Freuler tries a throug...        Offside  Failed through ball  Home           Atalanta          Sampdoria      ervin zukanovic        remo freuler           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940985  z5L2OT5E/  z5L2OT5E104         104    81  Ervin Zukanovic (Atalanta) wins a free kick in...  Free kick won                  NaN  Home           Atalanta          Sampdoria      ervin zukanovic                 NaN           NaN              NaN                  NaN          NaN        0                 Attacking half         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940986  z5L2OT5E/  z5L2OT5E105         105    81                Foul by Filip Djuricic (Sampdoria).           Foul                  NaN  Away          Sampdoria           Atalanta       filip djuricic                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940987  z5L2OT5E/  z5L2OT5E106         106    81  Filip Djuricic (Sampdoria) is shown the yellow...    Yellow card                  NaN  Away          Sampdoria           Atalanta       filip djuricic                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940988  z5L2OT5E/  z5L2OT5E107         107    83  Substitution, Sampdoria. Ante Budimir replaces...   Substitution                  NaN  Away          Sampdoria           Atalanta                  NaN                 NaN  ante budimir  bruno fernandes                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940989  z5L2OT5E/  z5L2OT5E108         108    83                Foul by Ervin Zukanovic (Atalanta).           Foul                  NaN  Home           Atalanta          Sampdoria      ervin zukanovic                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940990  z5L2OT5E/  z5L2OT5E109         109    83  Patrik Schick (Sampdoria) wins a free kick on ...  Free kick won                  NaN  Away          Sampdoria           Atalanta        patrik schick                 NaN           NaN              NaN                  NaN          NaN        0                     Right wing         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940991  z5L2OT5E/  z5L2OT5E110         110    84  Attempt missed. Alberto Grassi (Atalanta) righ...        Attempt             Key Pass  Home           Atalanta          Sampdoria       alberto grassi        remo freuler           NaN              NaN             Too high   Off target        0                Outside the box  right foot          Pass  Open play           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940992  z5L2OT5E/  z5L2OT5E111         111    86  Attempt saved. Alejandro Gomez (Atalanta) righ...        Attempt             Key Pass  Home           Atalanta          Sampdoria      alejandro gomez      andrea petagna           NaN              NaN   Centre of the goal    On target        0           Left side of the box  right foot          Pass  Open play           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940993  z5L2OT5E/  z5L2OT5E112         112    87  Attempt saved. Fabio Quagliarella (Sampdoria) ...        Attempt             Key Pass  Away          Sampdoria           Atalanta   fabio quagliarella         luis muriel           NaN              NaN   Centre of the goal    On target        0                Outside the box  right foot          Pass  Open play           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940994  z5L2OT5E/  z5L2OT5E113         113    87  Alejandro Gomez (Atalanta) wins a free kick in...  Free kick won                  NaN  Home           Atalanta          Sampdoria      alejandro gomez                 NaN           NaN              NaN                  NaN          NaN        0                 Attacking half         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940995  z5L2OT5E/  z5L2OT5E114         114    87                  Foul by Ante Budimir (Sampdoria).           Foul                  NaN  Away          Sampdoria           Atalanta         ante budimir                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940996  z5L2OT5E/  z5L2OT5E115         115    88  Substitution, Atalanta. Rafael Toloi replaces ...   Substitution                  NaN  Home           Atalanta          Sampdoria                  NaN                 NaN  rafael toloi  alejandro gomez                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940997  z5L2OT5E/  z5L2OT5E116         116    88  Andrea Petagna (Atalanta) wins a free kick in ...  Free kick won                  NaN  Home           Atalanta          Sampdoria       andrea petagna                 NaN           NaN              NaN                  NaN          NaN        0                 Attacking half         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940998  z5L2OT5E/  z5L2OT5E117         117    88                Foul by Milan Skriniar (Sampdoria).           Foul                  NaN  Away          Sampdoria           Atalanta       milan skriniar                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "940999  z5L2OT5E/  z5L2OT5E118         118    89  Milan Skriniar (Sampdoria) is shown the yellow...    Yellow card                  NaN  Away          Sampdoria           Atalanta       milan skriniar                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941000  z5L2OT5E/  z5L2OT5E119         119    89    Corner,  Atalanta. Conceded by Daniel Pavlovic.         Corner                  NaN  Home           Atalanta          Sampdoria                  NaN                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941001  z5L2OT5E/  z5L2OT5E120         120    92  Alessandro Bastoni (Atalanta) wins a free kick...  Free kick won                  NaN  Home           Atalanta          Sampdoria   alessandro bastoni                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941002  z5L2OT5E/  z5L2OT5E121         121    92                  Foul by Ante Budimir (Sampdoria).           Foul                  NaN  Away          Sampdoria           Atalanta         ante budimir                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941003  z5L2OT5E/  z5L2OT5E122         122    92            Foul by Leonardo Spinazzola (Atalanta).           Foul                  NaN  Home           Atalanta          Sampdoria  leonardo spinazzola                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941004  z5L2OT5E/  z5L2OT5E123         123    92  Lucas Torreira (Sampdoria) wins a free kick in...  Free kick won                  NaN  Away          Sampdoria           Atalanta       lucas torreira                 NaN           NaN              NaN                  NaN          NaN        0                 Defensive half         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941005  z5L2OT5E/  z5L2OT5E124         124    93   Corner,  Sampdoria. Conceded by Andrea Masiello.         Corner                  NaN  Away          Sampdoria           Atalanta                  NaN                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941006  z5L2OT5E/  z5L2OT5E125         125    93  Attempt missed. Fabio Quagliarella (Sampdoria)...        Attempt             Key Pass  Away          Sampdoria           Atalanta   fabio quagliarella      lucas torreira           NaN              NaN   Misses to the left   Off target        0           Left side of the box  right foot          Pass     Corner           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941007  z5L2OT5E/  z5L2OT5E126         126    94  Alberto Grassi (Atalanta) wins a free kick on ...  Free kick won                  NaN  Home           Atalanta          Sampdoria       alberto grassi                 NaN           NaN              NaN                  NaN          NaN        0                      Left wing         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "941008  z5L2OT5E/  z5L2OT5E127         127    94                 Foul by Pedro Pereira (Sampdoria).           Foul                  NaN  Away          Sampdoria           Atalanta        pedro pereira                 NaN           NaN              NaN                  NaN          NaN        0                            NaN         NaN           NaN        NaN           0  /soccer/italy/serie-a/atalanta-sampdoria-z5L2O...      True  2017-01-22     Serie A    2017    italy           Atalanta   \n",
       "\n",
       "                at  fthg  ftag  odd_h  odd_d  odd_a  odd_over  odd_under  odd_bts  odd_bts_n  \n",
       "0       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "1       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "2       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "3       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "4       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "5       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "6       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "7       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "8       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "9       Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "10      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "11      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "12      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "13      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "14      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "15      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "16      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "17      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "18      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "19      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "20      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "21      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "22      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "23      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "24      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "25      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "26      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "27      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "28      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "29      Hamburg SV     3     1   1.56   4.41   7.42       NaN        NaN      NaN        NaN  \n",
       "...            ...   ...   ...    ...    ...    ...       ...        ...      ...        ...  \n",
       "940979   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940980   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940981   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940982   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940983   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940984   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940985   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940986   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940987   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940988   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940989   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940990   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940991   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940992   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940993   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940994   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940995   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940996   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940997   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940998   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "940999   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941000   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941001   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941002   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941003   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941004   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941005   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941006   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941007   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "941008   Sampdoria     1     0   1.79   3.96   5.40       1.9       2.07      1.8       2.16  \n",
       "\n",
       "[941009 rows x 39 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge other dataset to have country, league, date and season\n",
    "df_events = df_events.merge(df_game_info ,how = 'left')\n",
    "df_events"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Handling Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Function to calculate missing values by column# Funct \n",
    "def missing_values_table(df):\n",
    "        # Total missing values\n",
    "        mis_val = df.isnull().sum()\n",
    "        \n",
    "        # Percentage of missing values\n",
    "        mis_val_percent = 100 * df.isnull().sum() / len(df)\n",
    "        \n",
    "        # Make a table with the results\n",
    "        mis_val_table = pd.concat([mis_val, mis_val_percent], axis=1)\n",
    "        \n",
    "        # Rename the columns\n",
    "        mis_val_table_ren_columns = mis_val_table.rename(\n",
    "        columns = {0 : 'Missing Values', 1 : '% of Total Values'})\n",
    "        \n",
    "        # Sort the table by percentage of missing descending\n",
    "        mis_val_table_ren_columns = mis_val_table_ren_columns[\n",
    "            mis_val_table_ren_columns.iloc[:,1] != 0].sort_values(\n",
    "        '% of Total Values', ascending=False).round(1)\n",
    "        \n",
    "        # Print some summary information\n",
    "        print (\"Your selected dataframe has \" + str(df.shape[1]) + \" columns.\\n\"      \n",
    "            \"There are \" + str(mis_val_table_ren_columns.shape[0]) +\n",
    "              \" columns that have missing values.\")\n",
    "        \n",
    "        # Return the dataframe with missing information\n",
    "        return mis_val_table_ren_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# # Drop all the null values (remove 70% of the data)\n",
    "# data_df.dropna(inplace=True)\n",
    "# data_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your selected dataframe has 39 columns.\n",
      "There are 15 columns that have missing values.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing Values</th>\n",
       "      <th>% of Total Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>player_in</th>\n",
       "      <td>889294</td>\n",
       "      <td>94.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player_out</th>\n",
       "      <td>889271</td>\n",
       "      <td>94.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odd_over</th>\n",
       "      <td>842329</td>\n",
       "      <td>89.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odd_under</th>\n",
       "      <td>842329</td>\n",
       "      <td>89.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odd_bts</th>\n",
       "      <td>842329</td>\n",
       "      <td>89.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odd_bts_n</th>\n",
       "      <td>842329</td>\n",
       "      <td>89.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assist_method</th>\n",
       "      <td>773104</td>\n",
       "      <td>82.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event_type2</th>\n",
       "      <td>726716</td>\n",
       "      <td>77.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_place</th>\n",
       "      <td>713550</td>\n",
       "      <td>75.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot_outcome</th>\n",
       "      <td>712511</td>\n",
       "      <td>75.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>situation</th>\n",
       "      <td>711872</td>\n",
       "      <td>75.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bodypart</th>\n",
       "      <td>711824</td>\n",
       "      <td>75.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player2</th>\n",
       "      <td>649699</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>location</th>\n",
       "      <td>473942</td>\n",
       "      <td>50.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player</th>\n",
       "      <td>61000</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Missing Values  % of Total Values\n",
       "player_in              889294               94.5\n",
       "player_out             889271               94.5\n",
       "odd_over               842329               89.5\n",
       "odd_under              842329               89.5\n",
       "odd_bts                842329               89.5\n",
       "odd_bts_n              842329               89.5\n",
       "assist_method          773104               82.2\n",
       "event_type2            726716               77.2\n",
       "shot_place             713550               75.8\n",
       "shot_outcome           712511               75.7\n",
       "situation              711872               75.6\n",
       "bodypart               711824               75.6\n",
       "player2                649699               69.0\n",
       "location               473942               50.4\n",
       "player                  61000                6.5"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_values_table(df_events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Fill the required features with new class 'unknown'\n",
    "df_events.shot_place.fillna('UNK', inplace= True)\n",
    "df_events.player.fillna('UNK', inplace= True)\n",
    "df_events.shot_outcome.fillna('UNK', inplace= True)\n",
    "df_events.bodypart.fillna('UNK', inplace= True)\n",
    "df_events.location.fillna('UNK', inplace= True)\n",
    "df_events.assist_method.fillna('UNK', inplace= True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 941009 entries, 0 to 941008\n",
      "Data columns (total 39 columns):\n",
      "id_odsp          941009 non-null object\n",
      "id_event         941009 non-null object\n",
      "sort_order       941009 non-null int64\n",
      "time             941009 non-null int64\n",
      "text             941009 non-null object\n",
      "event_type       941009 non-null object\n",
      "event_type2      214293 non-null object\n",
      "side             941009 non-null object\n",
      "event_team       941009 non-null object\n",
      "opponent         941009 non-null object\n",
      "player           941009 non-null object\n",
      "player2          291310 non-null object\n",
      "player_in        51715 non-null object\n",
      "player_out       51738 non-null object\n",
      "shot_place       941009 non-null object\n",
      "shot_outcome     941009 non-null object\n",
      "is_goal          941009 non-null int64\n",
      "location         941009 non-null object\n",
      "bodypart         941009 non-null object\n",
      "assist_method    941009 non-null object\n",
      "situation        229137 non-null object\n",
      "fast_break       941009 non-null int64\n",
      "link_odsp        941009 non-null object\n",
      "adv_stats        941009 non-null bool\n",
      "date             941009 non-null object\n",
      "league           941009 non-null object\n",
      "season           941009 non-null int64\n",
      "country          941009 non-null object\n",
      "ht               941009 non-null object\n",
      "at               941009 non-null object\n",
      "fthg             941009 non-null int64\n",
      "ftag             941009 non-null int64\n",
      "odd_h            941009 non-null float64\n",
      "odd_d            941009 non-null float64\n",
      "odd_a            941009 non-null float64\n",
      "odd_over         98680 non-null float64\n",
      "odd_under        98680 non-null float64\n",
      "odd_bts          98680 non-null float64\n",
      "odd_bts_n        98680 non-null float64\n",
      "dtypes: bool(1), float64(7), int64(7), object(24)\n",
      "memory usage: 280.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df_events.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Notice that a lot of the floats and ints are in fact categoricals\n",
    "# We can fix this with Pandas' astype function\n",
    "categoricals = ['id_odsp', 'event_type', 'event_team', 'opponent', 'shot_place', 'shot_outcome', 'location', 'bodypart', 'assist_method', 'situation', 'side']\n",
    "d = dict.fromkeys(categoricals,'category')\n",
    "df_events = df_events.astype(d)\n",
    "df_events['is_goal'] = df_events['is_goal'].astype('bool') # this is a bool, we can fix that too while we're at it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 941009 entries, 0 to 941008\n",
      "Data columns (total 39 columns):\n",
      "id_odsp          941009 non-null category\n",
      "id_event         941009 non-null object\n",
      "sort_order       941009 non-null int64\n",
      "time             941009 non-null int64\n",
      "text             941009 non-null object\n",
      "event_type       941009 non-null category\n",
      "event_type2      214293 non-null object\n",
      "side             941009 non-null category\n",
      "event_team       941009 non-null category\n",
      "opponent         941009 non-null category\n",
      "player           941009 non-null object\n",
      "player2          291310 non-null object\n",
      "player_in        51715 non-null object\n",
      "player_out       51738 non-null object\n",
      "shot_place       941009 non-null category\n",
      "shot_outcome     941009 non-null category\n",
      "is_goal          941009 non-null bool\n",
      "location         941009 non-null category\n",
      "bodypart         941009 non-null category\n",
      "assist_method    941009 non-null category\n",
      "situation        229137 non-null category\n",
      "fast_break       941009 non-null int64\n",
      "link_odsp        941009 non-null object\n",
      "adv_stats        941009 non-null bool\n",
      "date             941009 non-null object\n",
      "league           941009 non-null object\n",
      "season           941009 non-null int64\n",
      "country          941009 non-null object\n",
      "ht               941009 non-null object\n",
      "at               941009 non-null object\n",
      "fthg             941009 non-null int64\n",
      "ftag             941009 non-null int64\n",
      "odd_h            941009 non-null float64\n",
      "odd_d            941009 non-null float64\n",
      "odd_a            941009 non-null float64\n",
      "odd_over         98680 non-null float64\n",
      "odd_under        98680 non-null float64\n",
      "odd_bts          98680 non-null float64\n",
      "odd_bts_n        98680 non-null float64\n",
      "dtypes: bool(2), category(11), float64(7), int64(6), object(13)\n",
      "memory usage: 208.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df_events.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question #1 to answer\n",
    "Which teams are the best or sloppiest at holding the lead? [Belona , Data Analysis]\n",
    "\n",
    "First step: we find best teams holding the lead\n",
    "\n",
    "Next step is to extract useful information from these teams’ games that made them best at holding the lead.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# manually chosen features\n",
    "feat_cols = ['id_odsp', 'id_event', 'league', 'season', 'ht', 'at','event_team', 'is_goal']\n",
    "df_data = df_events[feat_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 941009 entries, 0 to 941008\n",
      "Data columns (total 8 columns):\n",
      "id_odsp       941009 non-null category\n",
      "id_event      941009 non-null object\n",
      "league        941009 non-null object\n",
      "season        941009 non-null int64\n",
      "ht            941009 non-null object\n",
      "at            941009 non-null object\n",
      "event_team    941009 non-null category\n",
      "is_goal       941009 non-null bool\n",
      "dtypes: bool(1), category(2), int64(1), object(4)\n",
      "memory usage: 47.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your selected dataframe has 8 columns.\n",
      "There are 0 columns that have missing values.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing Values</th>\n",
       "      <th>% of Total Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Missing Values, % of Total Values]\n",
       "Index: []"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_values_table(df_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#divide the data per season and per and per year\n",
    "def DivideData(X):\n",
    "    S =X.season.astype('category')\n",
    "    L =X.league.astype('category')\n",
    "    S= S.unique()\n",
    "    L= L.unique()\n",
    "    ll=[]\n",
    "    \n",
    "    for i in L:\n",
    "        for j in S:\n",
    "            item= [i,j]\n",
    "            ll.append(item)\n",
    "    ll= np.array(ll)\n",
    "    return ll\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def Classification(X):\n",
    "    N,D= X.shape\n",
    "    # find all theteams of the league\n",
    "    ll= DivideData(X)\n",
    "    for Combi in ll:\n",
    "        results=[]\n",
    "        Victoire=[]\n",
    "        LS= X.loc[(X['league'] == Combi[0].astype(str)) & (X['season'] == Combi[1].astype(int)),:]\n",
    "        print( '#########################################################' )\n",
    "        print( '## the Informations about the', Combi[0], Combi[1] ,'######')\n",
    "        print( '#########################################################' )\n",
    "        if ((Combi[0].astype(str)==\"Premier League\") & ((Combi[1].astype(int)== 2012)|(Combi[1].astype(int)== 2013) )):\n",
    "            \n",
    "            print(\" No details on the Matchs od this league\")\n",
    "        \n",
    "        else:\n",
    "            Teams= LS.iloc[:,4].unique()\n",
    "            Match= LS.iloc[:,0].unique()\n",
    "            Match=Match.astype(str)\n",
    "            for i in range (Match.shape[0]):\n",
    "                events= LS.loc[(LS['id_odsp'] == Match[i]),:]\n",
    "                ht= events.iloc[1,4]\n",
    "                at=events.iloc[1,5]\n",
    "                butht=0\n",
    "                butat=0\n",
    "                for j in range (1,events.shape[0]):\n",
    "                    if events.iloc[j,7]==True:\n",
    "                        if (events.iloc[j,6]== ht):\n",
    "                            butht = butht + 1\n",
    "                        else:\n",
    "                            butat= butat + 1\n",
    "\n",
    "                if butht < butat:\n",
    "                    v= at\n",
    "                else:\n",
    "                    if butht > butat:\n",
    "                        v=ht\n",
    "                    else:\n",
    "                        v= 'nul'\n",
    "                item=[Match[i],ht,at,butht,butat, v]\n",
    "                Victoire.append(item)\n",
    "            Victoire= np.array(Victoire)\n",
    "            df = pd.DataFrame({'Match':Victoire[:,0], 'hote':Victoire[:,1],'oponent':Victoire[:,2],'buthote':Victoire[:,3],'butopponent':Victoire[:,4],'decision':Victoire[:,5]})\n",
    "\n",
    "            for k in Teams :\n",
    "                datateam=  df.loc[(df['hote'] == k) | (df['oponent'] == k),:]\n",
    "                datateam1=  df.loc[(df['hote'] == k),:]\n",
    "                N= datateam1.shape[0]\n",
    "                M= datateam.shape[0]\n",
    "                datavictoirehome= datateam[(datateam['decision']==k) & (datateam['hote']==k) ]['decision'].count()\n",
    "                datavictoire= datateam[datateam['decision']==k]['decision'].count()\n",
    "                datadefaite= datateam.loc[(datateam['decision']!= k) & (datateam['decision']!=\"nul\"),:]\n",
    "                datadefaitehome= datateam.loc[(datateam['decision']!= k) & (datateam['hote']!= k) & (datateam['decision']!=\"nul\"),:]\n",
    "                datanull= datateam[datateam['decision']==\"nul\"]['decision'].count()\n",
    "                point= datavictoire * 3 + datanull * 1\n",
    "            \n",
    "                elem=[k, datavictoire, datadefaite.shape[0],datanull,point,datavictoirehome,N,M,datadefaitehome.shape[0]]\n",
    "                results.append(elem)\n",
    "                \n",
    "            #results= sorted(results,key=itemgetter(4)) \n",
    "            results= np.array(results)\n",
    "            dfresult = pd.DataFrame({'ATeam':results[:,0],'ATot':results[:,7],'ATotH':results[:,6],'BWin':results[:,1],'BWinH':results[:,5],'CDefeat':results[:,2],'CDefeatH':results[:,8],'Null':results[:,3],'Points':results[:,4]})\n",
    "            dfresult=dfresult.sort_values(by=['Points'],ascending= False)\n",
    "            dfresult=dfresult.tail(5)\n",
    "            \n",
    "            print(dfresult)\n",
    "        \n",
    "        \n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#########################################################\n",
      "## the Informations about the Bundesliga 2012 ######\n",
      "#########################################################\n",
      "             ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "1      FC Augsburg   31    15    7     5      12        8   12     33\n",
      "13      Hamburg SV   32    16    7     3      13        7   12     33\n",
      "3    Hertha Berlin   33    16    7     4      16        7   10     31\n",
      "4       FC Cologne   32    16    8     5      19       12    5     29\n",
      "17  Kaiserslautern   33    17    4     2      19        9   10     22\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2013 ######\n",
      "#########################################################\n",
      "                   ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "9          Werder Bremen   34    17    9     5      16        9    9     36\n",
      "4            FC Augsburg   34    17    8     5      17       10    9     33\n",
      "11        TSG Hoffenheim   34    17    8     5      18       11    8     32\n",
      "10    Fortuna Dusseldorf   34    17    7     5      18       12    9     30\n",
      "3   SpVgg Greuther Furth   34    17    5     0      21        8    8     23\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2014 ######\n",
      "#########################################################\n",
      "                         ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "8                Werder Bremen   30    16    8     5      13        8    9     33\n",
      "1                VfB Stuttgart   31    16    8     5      15        8    8     32\n",
      "9   TSV Eintracht Braunschweig   30    15    6     5      17       10    7     25\n",
      "16                    Nurnberg   30    15    5     3      16        8    9     24\n",
      "13                  Hamburg SV   30    15    6     4      19       11    5     23\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2015 ######\n",
      "#########################################################\n",
      "            ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "3   Hertha Berlin   33    17    9     6      17       10    7     34\n",
      "11  VfB Stuttgart   33    17    8     5      16        8    9     33\n",
      "15     Hamburg SV   33    17    8     6      18       12    7     31\n",
      "7    SC Paderborn   33    17    6     4      17       10   10     28\n",
      "16    SC Freiburg   18     1    2     0       8        8    8     14\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2016 ######\n",
      "#########################################################\n",
      "                  ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "12       TSG Hoffenheim   33    16    9     6      14       10   10     37\n",
      "15  Eintracht Frankfurt   33    17    9     6      15       10    9     36\n",
      "6         Werder Bremen   33    16    9     4      16        9    8     35\n",
      "8         VfB Stuttgart   33    17    9     6      18        8    6     33\n",
      "10          Hannover 96   33    17    7     4      22        9    4     25\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2017 ######\n",
      "#########################################################\n",
      "               ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "4        FC Augsburg   17     9    4     2       7        3    6     18\n",
      "11     VfL Wolfsburg   17     9    4     2       8        3    5     17\n",
      "17     Werder Bremen   17     9    4     3       9        4    4     16\n",
      "2         Hamburg SV   17     8    3     2      10        6    4     13\n",
      "15  FC Ingolstadt 04   17     8    3     1      11        6    3     12\n",
      "#########################################################\n",
      "## the Informations about the League One 2012 ######\n",
      "#########################################################\n",
      "         ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "13     Lorient   38    19    9     8      17       12   12     39\n",
      "4         Nice   35    16    9     6      16       12   10     37\n",
      "1         Caen   36    17    8     5      17       10   11     35\n",
      "9    Dijon FCO   37    19    8     6      19       11   10     34\n",
      "18  AJ Auxerre   38    19    7     6      18       11   13     34\n",
      "#########################################################\n",
      "## the Informations about the League One 2013 ######\n",
      "#########################################################\n",
      "                    ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "3   Evian Thonon Gaillard   38    19   10     6      18       12   10     40\n",
      "13             AC Ajaccio   37    19    8     7      15        8   14     38\n",
      "16                 Troyes   37    18    8     6      15       11   14     38\n",
      "18      AS Nancy Lorraine   36    17    8     4      17        9   11     35\n",
      "8                   Brest   37    19    8     5      24       13    5     29\n",
      "#########################################################\n",
      "## the Informations about the League One 2014 ######\n",
      "#########################################################\n",
      "           ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "15          Nice   38    19   12    10      20       13    6     42\n",
      "19        Nantes   37    18   10     5      15        8   12     42\n",
      "9        Sochaux   37    18   10     8      18       13    9     39\n",
      "2   Valenciennes   38    19    7     4      23       13    8     29\n",
      "8     AC Ajaccio   38    19    4     3      23       13   11     23\n",
      "#########################################################\n",
      "## the Informations about the League One 2015 ######\n",
      "#########################################################\n",
      "                    ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "14               Toulouse   38    19   12     8      20       15    6     42\n",
      "0          Stade de Reims   38    19   11     7      18       10    9     42\n",
      "4   Evian Thonon Gaillard   38    19   11     7      23       13    4     37\n",
      "12                   Metz   38    19    7     6      22       13    9     30\n",
      "11                   Lens   38    19    7     5      23       13    8     29\n",
      "#########################################################\n",
      "## the Informations about the League One 2016 ######\n",
      "#########################################################\n",
      "             ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "16         Lorient   37    18   10     6      14        9   13     43\n",
      "9         Toulouse   37    19    8     6      16       10   13     37\n",
      "19     GFC Ajaccio   36    19    8     5      15        8   13     37\n",
      "18  Stade de Reims   37    18    9     6      19       12    9     36\n",
      "3           Troyes   37    18    3     1      26       15    8     17\n",
      "#########################################################\n",
      "## the Informations about the League One 2017 ######\n",
      "#########################################################\n",
      "        ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "2        Caen   20    10    6     6      10        8    4     22\n",
      "0      Bastia   21    11    5     3      10        7    6     21\n",
      "6   Dijon FCO   21    11    4     4       9        6    8     20\n",
      "13     Angers   21    10    5     3      11        8    5     20\n",
      "14    Lorient   21    10    5     5      13        9    3     18\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2012 ######\n",
      "#########################################################\n",
      "               ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "10        Villarreal   35    17    8     5      13       11   14     38\n",
      "0     Sporting Gijon   36    18    9     6      18       11    9     36\n",
      "5             Getafe   33    17    8     6      15       10   10     34\n",
      "14  Racing Santander   37    19    4     3      19       10   14     26\n",
      "19           Granada   25    11    7     4      13        9    5     26\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2013 ######\n",
      "#########################################################\n",
      "                  ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "15              Osasuna   38    19   10     7      19       12    9     39\n",
      "2            Celta Vigo   38    19   10     7      21       15    7     37\n",
      "7   Deportivo La Coruna   38    19    8     6      18       11   12     36\n",
      "0              Mallorca   38    19    9     7      20       13    9     36\n",
      "9         Real Zaragoza   38    19    9     5      22       12    7     34\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2014 ######\n",
      "#########################################################\n",
      "              ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "19          Granada   38    19   12     7      21       10    5     41\n",
      "13            Elche   38    19    9     6      16       11   13     40\n",
      "1   Real Valladolid   38    19    8     7      16       12   14     38\n",
      "6           Osasuna   38    19    9     6      19       11   10     37\n",
      "15       Real Betis   38    19    6     5      24       14    8     26\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2015 ######\n",
      "#########################################################\n",
      "      ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "3   Granada   34    17    7     4      15       11   12     33\n",
      "5     Eibar   34    18    8     5      19        9    7     31\n",
      "1   Almeria   35    18    8     3      20       12    7     31\n",
      "6   Levante   34    17    7     4      18       11    9     30\n",
      "12  Cordoba   34    17    3     1      23       11    8     17\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2016 ######\n",
      "#########################################################\n",
      "             ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "9          Granada   37    18   10     6      19       11    8     38\n",
      "16          Getafe   37    19    9     6      18       13   10     37\n",
      "1   Rayo Vallecano   37    18    8     7      18       11   11     35\n",
      "7   Sporting Gijon   37    18    8     6      19       11   10     34\n",
      "6          Levante   37    19    8     7      21       14    8     32\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2017 ######\n",
      "#########################################################\n",
      "                  ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "1   Deportivo La Coruna   19     9    4     4       8        5    7     19\n",
      "8              Valencia   18     8    5     2       9        5    4     19\n",
      "14              Leganes   19     9    4     1       9        5    6     18\n",
      "7        Sporting Gijon   19     9    3     3      12        7    4     13\n",
      "3               Granada   19     9    1     1      11        7    7     10\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2012 ######\n",
      "#########################################################\n",
      "      ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "2   Palermo   37    18   10     9      15       11   12     42\n",
      "18    Genoa   37    18   11     9      18       14    8     41\n",
      "5     Lecce   36    19    8     4      18        8   10     34\n",
      "17   Novara   37    18    7     5      20       14   10     31\n",
      "1    Cesena   35    18    3     2      22       13   10     19\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2013 ######\n",
      "#########################################################\n",
      "         ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "11      Torino   38    19    8     6      14        7   16     40\n",
      "4        Genoa   38    19    8     5      16        9   14     38\n",
      "3        Siena   38    19    9     6      20       12    9     36\n",
      "2      Palermo   38    19    6     5      18       11   14     32\n",
      "6   US Pescara   38    19    6     4      28       14    4     22\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2014 ######\n",
      "#########################################################\n",
      "            ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "10  Chievo Verona   38    19   10     6      22       11    6     36\n",
      "14        Catania   38    19    8     7      22       16    8     32\n",
      "12        Bologna   38    19    5     3      18       11   15     30\n",
      "7         Livorno   38    19    6     4      25       15    7     25\n",
      "11       Juventus   38    19   33    19       2        2    3    102\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2015 ######\n",
      "#########################################################\n",
      "            ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "0   Chievo Verona   38    19    9     3      15        9   14     41\n",
      "2        Atalanta   38    19    8     5      15        7   15     39\n",
      "14       Cagliari   38    19    8     4      20        9   10     34\n",
      "16          Parma   38    19    6     5      24       14    8     26\n",
      "9          Cesena   38    19    4     3      22       13   12     24\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2016 ######\n",
      "#########################################################\n",
      "            ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "16        Udinese   37    18   10     6      18       10    9     39\n",
      "4         Palermo   37    18    9     5      19       10    9     36\n",
      "14          Carpi   37    19    8     6      18       10   11     35\n",
      "7       Frosinone   37    19    8     6      22       13    7     31\n",
      "1   Hellas Verona   37    19    5     4      19       10   13     28\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2017 ######\n",
      "#########################################################\n",
      "        ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "7       Genoa   21    11    6     4       9        7    6     24\n",
      "17  Sampdoria   21    10    6     5       9        7    6     24\n",
      "2      Empoli   21    11    5     4      10        5    6     21\n",
      "8     Palermo   21    10    2     0      15        6    4     10\n",
      "18    Crotone   20     9    2     2      14        9    4     10\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2012 ######\n",
      "#########################################################\n",
      " No details on the Matchs od this league\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2013 ######\n",
      "#########################################################\n",
      " No details on the Matchs od this league\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2014 ######\n",
      "#########################################################\n",
      "          ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "1        Fulham   32    16    8     5      20       11    4     28\n",
      "0          Hull   32    16    7     5      19       11    6     27\n",
      "8  Norwich City   32    16    6     5      18       12    8     26\n",
      "6     West Brom   32    16    5     3      16       10   11     26\n",
      "5       Cardiff   32    16    5     4      20       12    7     22\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2015 ######\n",
      "#########################################################\n",
      "          ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "12  Aston Villa   38    19   10     5      20       12    8     38\n",
      "16   Sunderland   38    19    7     4      14        8   17     38\n",
      "18         Hull   38    19    8     5      17       10   13     37\n",
      "9       Burnley   38    19    7     4      19       11   12     33\n",
      "2           QPR   38    19    8     6      24       16    6     30\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2016 ######\n",
      "#########################################################\n",
      "           ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "9      West Brom   38    19   10     6      16        8   12     42\n",
      "16    Sunderland   37    18    9     6      16       10   12     39\n",
      "6      Newcastle   38    19    9     7      19       14   10     37\n",
      "4   Norwich City   38    19    9     6      22       14    7     34\n",
      "10   Aston Villa   38    19    3     2      26       14    9     18\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2017 ######\n",
      "#########################################################\n",
      "             ATeam ATot ATotH BWin BWinH CDefeat CDefeatH Null Points\n",
      "2    Middlesbrough   22    11    4     3      10        4    8     20\n",
      "11         Swansea   22    11    5     2      14        7    3     18\n",
      "5   Crystal Palace   22    11    4     2      14        6    4     16\n",
      "3             Hull   22    11    4     3      14        9    4     16\n",
      "17      Sunderland   22    11    4     3      15        9    3     15\n"
     ]
    }
   ],
   "source": [
    "Classification(df_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def encaissement(X):\n",
    "    N,D= X.shape\n",
    "    # find all theteams of the league\n",
    "    ll= DivideData(X)\n",
    "    for Combi in ll:\n",
    "        results=[]\n",
    "        Victoire=[]\n",
    "        LS= X.loc[(X['league'] == Combi[0].astype(str)) & (X['season'] == Combi[1].astype(int)),:]\n",
    "        print( '#########################################################' )\n",
    "        print( '## the Informations about the', Combi[0], Combi[1] ,'######')\n",
    "        print( '#########################################################' )\n",
    "        if ((Combi[0].astype(str)==\"Premier League\") & ((Combi[1].astype(int)== 2012)|(Combi[1].astype(int)== 2013) )):\n",
    "            \n",
    "            print(\" No details on the Matchs od this league\")\n",
    "        \n",
    "        else:\n",
    "            Teams= LS.iloc[:,4].unique()\n",
    "            Match= LS.iloc[:,0].unique()\n",
    "            Match=Match.astype(str)\n",
    "            for i in range (Match.shape[0]):\n",
    "                events= LS.loc[(LS['id_odsp'] == Match[i]),:]\n",
    "                ht= events.iloc[1,4]\n",
    "                at=events.iloc[1,5]\n",
    "                butht=0\n",
    "                butat=0\n",
    "                butmat=0\n",
    "                butmht=0\n",
    "                for j in range (1,events.shape[0]):\n",
    "                    if events.iloc[j,7]==True:\n",
    "                        if (events.iloc[j,6]== ht):\n",
    "                            butat= butat + 1\n",
    "                        else:\n",
    "                            butht = butht + 1\n",
    "                        \n",
    "                butmat= butht\n",
    "                butmht=butat\n",
    "                item=[Match[i],ht,at,butht,butat,butmat,butmht]\n",
    "                Victoire.append(item)\n",
    "            Victoire= np.array(Victoire)\n",
    "            df = pd.DataFrame({'Match':Victoire[:,0], 'hote':Victoire[:,1],'oponent':Victoire[:,2],'buthote':Victoire[:,3],'butopponent':Victoire[:,4],'butmopponent':Victoire[:,5],'butmhote':Victoire[:,6]})\n",
    "            \n",
    "            for k in Teams :\n",
    "                encaisse=0\n",
    "                marque=0\n",
    "                ratioM= 0\n",
    "                ratioE=0\n",
    "                ratioME=0\n",
    "                datateam=  df.loc[(df['hote'] == k) | (df['oponent'] == k),:]\n",
    "                n= datateam.shape[0]\n",
    "                #print(datateam)\n",
    "                for j in range (1, datateam.shape[0]):\n",
    "                    if (datateam.iloc[j,5]== k):\n",
    "                        encaisse += int(datateam.iloc[j,1])\n",
    "                        marque+= int(datateam.iloc[j,2])\n",
    "                    else:\n",
    "                        encaisse += int(datateam.iloc[j,4])\n",
    "                        marque+= int(datateam.iloc[j,3])\n",
    "                ratioM= round(marque / n,2)\n",
    "                ratioE= round (encaisse /n,2)\n",
    "                ratioME= round(marque / encaisse,2)\n",
    "                elem=[k,encaisse,marque,ratioE,ratioM,ratioME]\n",
    "                results.append(elem)\n",
    "            results= np.array(results)\n",
    "            dfresult = pd.DataFrame({'ATeam':results[:,0], 'ButsEncaisses':results[:,1],'ButsMarques':results[:,2],'RatioE':results[:,3], 'RatioM':results[:,4],'RatioME':results[:,5]})\n",
    "            dfresult=dfresult.sort_values(by=['RatioME'],ascending=False)\n",
    "            print(dfresult)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#########################################################\n",
      "## the Informations about the Bundesliga 2012 ######\n",
      "#########################################################\n",
      "                       ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "8              Bayern Munich            22          72   0.69   2.25    3.27\n",
      "0          Borussia Dortmund            23          74    0.7   2.24    3.22\n",
      "14  Borussia Monchengladbach            24          48   0.71   1.41     2.0\n",
      "9                 Schalke 04            40          69   1.21   2.09    1.73\n",
      "5              VfB Stuttgart            43          58    1.3   1.76    1.35\n",
      "16          Bayer Leverkusen            41          50   1.24   1.52    1.22\n",
      "10            TSG Hoffenheim            42          39   1.27   1.18    0.93\n",
      "6                Hannover 96            41          36   1.24   1.09    0.88\n",
      "7                      Mainz            51          43    1.5   1.26    0.84\n",
      "11                  Nurnberg            44          35   1.38   1.09     0.8\n",
      "15             VfL Wolfsburg            56          44   1.75   1.38    0.79\n",
      "2              Werder Bremen            55          43   1.72   1.34    0.78\n",
      "12               SC Freiburg            57          41   1.73   1.24    0.72\n",
      "1                FC Augsburg            43          28   1.39    0.9    0.65\n",
      "13                Hamburg SV            50          31   1.56   0.97    0.62\n",
      "3              Hertha Berlin            61          37   1.85   1.12    0.61\n",
      "4                 FC Cologne            65          37   2.03   1.16    0.57\n",
      "17            Kaiserslautern            49          22   1.48   0.67    0.45\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2013 ######\n",
      "#########################################################\n",
      "                       ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "16             Bayern Munich            18          94   0.53   2.76    5.22\n",
      "0          Borussia Dortmund            39          79   1.15   2.32    2.03\n",
      "12          Bayer Leverkusen            36          64   1.06   1.88    1.78\n",
      "13                Schalke 04            47          53   1.42   1.61    1.13\n",
      "5                SC Freiburg            39          44   1.15   1.29    1.13\n",
      "7        Eintracht Frankfurt            45          46   1.32   1.35    1.02\n",
      "8                      Mainz            43          39   1.26   1.15    0.91\n",
      "15             VfL Wolfsburg            51          46    1.5   1.35     0.9\n",
      "17               Hannover 96            60          53   1.82   1.61    0.88\n",
      "6   Borussia Monchengladbach            48          42   1.41   1.24    0.88\n",
      "14                  Nurnberg            45          38   1.32   1.12    0.84\n",
      "2                 Hamburg SV            52          41   1.53   1.21    0.79\n",
      "9              Werder Bremen            62          49   1.82   1.44    0.79\n",
      "1              VfB Stuttgart            54          35   1.59   1.03    0.65\n",
      "10        Fortuna Dusseldorf            57          37   1.68   1.09    0.65\n",
      "4                FC Augsburg            49          32   1.44   0.94    0.65\n",
      "11            TSG Hoffenheim            64          41   1.88   1.21    0.64\n",
      "3       SpVgg Greuther Furth            56          26   1.65   0.76    0.46\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2014 ######\n",
      "#########################################################\n",
      "                         ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "5                Bayern Munich            21          85    0.7   2.83    4.05\n",
      "3            Borussia Dortmund            36          71    1.2   2.37    1.97\n",
      "15                  Schalke 04            34          56   1.17   1.93    1.65\n",
      "11    Borussia Monchengladbach            33          48    1.1    1.6    1.45\n",
      "7             Bayer Leverkusen            32          46    1.1   1.59    1.44\n",
      "14               VfL Wolfsburg            43          55   1.43   1.83    1.28\n",
      "10              TSG Hoffenheim            52          55   1.79    1.9    1.06\n",
      "4                  FC Augsburg            40          42   1.33    1.4    1.05\n",
      "6                        Mainz            44          40   1.52   1.38    0.91\n",
      "2                Hertha Berlin            41          31   1.37   1.03    0.76\n",
      "0          Eintracht Frankfurt            48          36   1.55   1.16    0.75\n",
      "1                VfB Stuttgart            54          40   1.74   1.29    0.74\n",
      "12                 Hannover 96            52          38   1.73   1.27    0.73\n",
      "17                 SC Freiburg            50          36   1.67    1.2    0.72\n",
      "13                  Hamburg SV            59          41   1.97   1.37    0.69\n",
      "8                Werder Bremen            58          39   1.93    1.3    0.67\n",
      "9   TSV Eintracht Braunschweig            50          27   1.67    0.9    0.54\n",
      "16                    Nurnberg            62          32   2.07   1.07    0.52\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2015 ######\n",
      "#########################################################\n",
      "                       ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "0              Bayern Munich            16          76   0.48    2.3    4.75\n",
      "8   Borussia Monchengladbach            25          52   0.74   1.53    2.08\n",
      "10             VfL Wolfsburg            35          68   1.06   2.06    1.94\n",
      "14          Bayer Leverkusen            37          60   1.12   1.82    1.62\n",
      "2          Borussia Dortmund            38          44   1.15   1.33    1.16\n",
      "12                Schalke 04            36          41   1.09   1.24    1.14\n",
      "9                FC Augsburg            39          43   1.18    1.3     1.1\n",
      "17                     Mainz            42          40   1.27   1.21    0.95\n",
      "5        Eintracht Frankfurt            58          54   1.76   1.64    0.93\n",
      "1                 FC Cologne            38          35   1.15   1.06    0.92\n",
      "6             TSG Hoffenheim            54          46   1.64   1.39    0.85\n",
      "13             Werder Bremen            63          47   1.91   1.42    0.75\n",
      "4                Hannover 96            53          36   1.61   1.09    0.68\n",
      "3              Hertha Berlin            48          32   1.45   0.97    0.67\n",
      "11             VfB Stuttgart            58          37   1.76   1.12    0.64\n",
      "16               SC Freiburg            24          15   1.33   0.83    0.62\n",
      "15                Hamburg SV            51          24   1.55   0.73    0.47\n",
      "7               SC Paderborn            62          27   1.88   0.82    0.44\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2016 ######\n",
      "#########################################################\n",
      "                       ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "0              Bayern Munich            15          72   0.45   2.18     4.8\n",
      "4          Borussia Dortmund            32          76   0.97    2.3    2.38\n",
      "16  Borussia Monchengladbach            46          65   1.39   1.97    1.41\n",
      "5           Bayer Leverkusen            37          50   1.12   1.52    1.35\n",
      "2                      Mainz            41          46   1.24   1.39    1.12\n",
      "9              Hertha Berlin            41          41   1.24   1.24     1.0\n",
      "13                Hamburg SV            40          37   1.21   1.12    0.93\n",
      "11                Schalke 04            48          44   1.45   1.33    0.92\n",
      "7              VfL Wolfsburg            46          41   1.39   1.24    0.89\n",
      "14                FC Cologne            39          33   1.18    1.0    0.85\n",
      "3                FC Augsburg            48          40   1.45   1.21    0.83\n",
      "6              Werder Bremen            62          49   1.88   1.48    0.79\n",
      "12            TSG Hoffenheim            47          36   1.42   1.09    0.77\n",
      "17          FC Ingolstadt 04            39          30   1.18   0.91    0.77\n",
      "1            SV Darmstadt 98            49          36   1.48   1.09    0.73\n",
      "8              VfB Stuttgart            69          48   2.09   1.45     0.7\n",
      "15       Eintracht Frankfurt            49          33   1.48    1.0    0.67\n",
      "10               Hannover 96            57          28   1.73   0.85    0.49\n",
      "#########################################################\n",
      "## the Informations about the Bundesliga 2017 ######\n",
      "#########################################################\n",
      "                       ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "0              Bayern Munich            10          34   0.59    2.0     3.4\n",
      "13                RB Leipzig            13          31   0.76   1.82    2.38\n",
      "3          Borussia Dortmund            18          35   1.06   2.06    1.94\n",
      "8             TSG Hoffenheim            15          27   0.88   1.59     1.8\n",
      "6        Eintracht Frankfurt            15          21   0.88   1.24     1.4\n",
      "7              Hertha Berlin            18          23   1.06   1.35    1.28\n",
      "1                 FC Cologne            15          19   0.88   1.12    1.27\n",
      "9                 Schalke 04            18          21   1.06   1.24    1.17\n",
      "10          Bayer Leverkusen            23          25   1.35   1.47    1.09\n",
      "16                     Mainz            27          25   1.59   1.47    0.93\n",
      "12               SC Freiburg            27          21   1.59   1.24    0.78\n",
      "4                FC Augsburg            17          13    1.0   0.76    0.76\n",
      "17             Werder Bremen            29          22   1.71   1.29    0.76\n",
      "5   Borussia Monchengladbach            23          13   1.35   0.76    0.57\n",
      "11             VfL Wolfsburg            25          12   1.47   0.71    0.48\n",
      "15          FC Ingolstadt 04            27          13   1.59   0.76    0.48\n",
      "2                 Hamburg SV            31          13   1.82   0.76    0.42\n",
      "14           SV Darmstadt 98            28          11   1.65   0.65    0.39\n",
      "#########################################################\n",
      "## the Informations about the League One 2012 ######\n",
      "#########################################################\n",
      "                    ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "6             Montpellier            33          65   0.87   1.71    1.97\n",
      "0     Paris Saint-Germain            39          73   1.05   1.97    1.87\n",
      "17                  Lille            38          71    1.0   1.87    1.87\n",
      "11                   Lyon            46          58   1.31   1.66    1.26\n",
      "8                Bordeaux            38          48   1.03    1.3    1.26\n",
      "7               Marseille            33          40   0.94   1.14    1.21\n",
      "14           Stade Rennes            42          48   1.14    1.3    1.14\n",
      "16               Toulouse            32          34   0.86   0.92    1.06\n",
      "12             St Etienne            43          44   1.16   1.19    1.02\n",
      "19  Evian Thonon Gaillard            53          50   1.43   1.35    0.94\n",
      "18             AJ Auxerre            53          45   1.39   1.18    0.85\n",
      "4                    Nice            41          33   1.17   0.94     0.8\n",
      "15           Valenciennes            49          39   1.32   1.05     0.8\n",
      "2                   Brest            35          28   0.95   0.76     0.8\n",
      "5       AS Nancy Lorraine            44          34   1.22   0.94    0.77\n",
      "3              AC Ajaccio            52          39   1.44   1.08    0.75\n",
      "13                Lorient            48          32   1.26   0.84    0.67\n",
      "10                Sochaux            57          38    1.5    1.0    0.67\n",
      "1                    Caen            57          36   1.58    1.0    0.63\n",
      "9               Dijon FCO            56          34   1.51   0.92    0.61\n",
      "#########################################################\n",
      "## the Informations about the League One 2013 ######\n",
      "#########################################################\n",
      "                    ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "4     Paris Saint-Germain            21          66   0.57   1.78    3.14\n",
      "2              St Etienne            30          59   0.79   1.55    1.97\n",
      "10                   Lyon            38          60    1.0   1.58    1.58\n",
      "6                   Lille            36          56   0.97   1.51    1.56\n",
      "17                   Nice            44          55   1.19   1.49    1.25\n",
      "14               Bordeaux            32          37   0.86    1.0    1.16\n",
      "15              Marseille            36          40   0.95   1.05    1.11\n",
      "7                Toulouse            45          47   1.18   1.24    1.04\n",
      "9                 Lorient            54          55   1.42   1.45    1.02\n",
      "0             Montpellier            50          51   1.35   1.38    1.02\n",
      "12           Valenciennes            53          48   1.43    1.3    0.91\n",
      "3   Evian Thonon Gaillard            50          43   1.32   1.13    0.86\n",
      "1            Stade Rennes            57          46   1.54   1.24    0.81\n",
      "5          Stade de Reims            41          33   1.08   0.87     0.8\n",
      "16                 Troyes            55          42   1.49   1.14    0.76\n",
      "19                Sochaux            52          39   1.41   1.05    0.75\n",
      "13             AC Ajaccio            50          37   1.35    1.0    0.74\n",
      "11                 Bastia            63          45    1.7   1.22    0.71\n",
      "18      AS Nancy Lorraine            55          36   1.53    1.0    0.65\n",
      "8                   Brest            60          30   1.62   0.81     0.5\n",
      "#########################################################\n",
      "## the Informations about the League One 2014 ######\n",
      "#########################################################\n",
      "                    ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "17    Paris Saint-Germain            22          83   0.58   2.18    3.77\n",
      "16              AS Monaco            31          61   0.82   1.61    1.97\n",
      "4                   Lille            25          45   0.66   1.18     1.8\n",
      "11             St Etienne            34          54   0.89   1.42    1.59\n",
      "13              Marseille            38          49   1.03   1.32    1.29\n",
      "6                Bordeaux            40          49   1.05   1.29    1.23\n",
      "3                    Lyon            44          52   1.16   1.37    1.18\n",
      "5            Stade Rennes            44          45   1.16   1.18    1.02\n",
      "18                Lorient            52          48   1.37   1.26    0.92\n",
      "14               Toulouse            50          46   1.32   1.21    0.92\n",
      "7                Guingamp            38          33    1.0   0.87    0.87\n",
      "0             Montpellier            51          44   1.34   1.16    0.86\n",
      "12         Stade de Reims            50          43   1.32   1.13    0.86\n",
      "19                 Nantes            41          34   1.11   0.92    0.83\n",
      "1   Evian Thonon Gaillard            49          38   1.29    1.0    0.78\n",
      "15                   Nice            40          30   1.05   0.79    0.75\n",
      "10                 Bastia            56          40   1.51   1.08    0.71\n",
      "9                 Sochaux            59          35   1.59   0.95    0.59\n",
      "2            Valenciennes            65          34   1.71   0.89    0.52\n",
      "8              AC Ajaccio            71          36   1.87   0.95    0.51\n",
      "#########################################################\n",
      "## the Informations about the League One 2015 ######\n",
      "#########################################################\n",
      "                    ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "13    Paris Saint-Germain            34          79   0.89   2.08    2.32\n",
      "9                    Lyon            33          70   0.87   1.84    2.12\n",
      "8               AS Monaco            24          49   0.63   1.29    2.04\n",
      "18              Marseille            38          72    1.0   1.89    1.89\n",
      "17             St Etienne            30          48   0.79   1.26     1.6\n",
      "6             Montpellier            38          44    1.0   1.16    1.16\n",
      "19               Bordeaux            43          46   1.13   1.21    1.07\n",
      "3                   Lille            41          42   1.08   1.11    1.02\n",
      "10                   Caen            54          50   1.42   1.32    0.93\n",
      "15           Stade Rennes            40          34   1.05   0.89    0.85\n",
      "16                Lorient            48          41   1.26   1.08    0.85\n",
      "7                    Nice            51          41   1.34   1.08     0.8\n",
      "1                  Bastia            43          34   1.13   0.89    0.79\n",
      "2                Guingamp            52          41   1.37   1.08    0.79\n",
      "5                  Nantes            38          28    1.0   0.74    0.74\n",
      "4   Evian Thonon Gaillard            57          41    1.5   1.08    0.72\n",
      "0          Stade de Reims            63          44   1.66   1.16     0.7\n",
      "14               Toulouse            61          41   1.61   1.08    0.67\n",
      "11                   Lens            60          32   1.58   0.84    0.53\n",
      "12                   Metz            60          31   1.58   0.82    0.52\n",
      "#########################################################\n",
      "## the Informations about the League One 2016 ######\n",
      "#########################################################\n",
      "                  ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "17  Paris Saint-Germain            19          95   0.51   2.57     5.0\n",
      "8                  Lyon            38          65   1.03   1.76    1.71\n",
      "4                  Nice            35          54   0.95   1.46    1.54\n",
      "0                 Lille            26          38    0.7   1.03    1.46\n",
      "6             Marseille            39          47   1.05   1.27    1.21\n",
      "12           St Etienne            34          39   0.94   1.08    1.15\n",
      "1           Montpellier            43          49   1.16   1.32    1.14\n",
      "10            AS Monaco            48          53    1.3   1.43     1.1\n",
      "14               Angers            35          36   0.95   0.97    1.03\n",
      "11         Stade Rennes            50          49   1.35   1.32    0.98\n",
      "7              Bordeaux            53          49   1.43   1.32    0.92\n",
      "13             Guingamp            52          44   1.41   1.19    0.85\n",
      "2                Bastia            40          32   1.08   0.86     0.8\n",
      "16              Lorient            57          45   1.54   1.22    0.79\n",
      "5                Nantes            40          31   1.08   0.84    0.78\n",
      "9              Toulouse            52          40   1.41   1.08    0.77\n",
      "15                 Caen            52          37   1.41    1.0    0.71\n",
      "18       Stade de Reims            55          38   1.49   1.03    0.69\n",
      "19          GFC Ajaccio            55          36   1.53    1.0    0.65\n",
      "3                Troyes            80          26   2.16    0.7    0.33\n",
      "#########################################################\n",
      "## the Informations about the League One 2017 ######\n",
      "#########################################################\n",
      "                  ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "1             AS Monaco            19          61    0.9    2.9    3.21\n",
      "19  Paris Saint-Germain            15          39   0.71   1.86     2.6\n",
      "8                  Nice            14          34   0.67   1.62    2.43\n",
      "10                 Lyon            23          35   1.15   1.75    1.52\n",
      "18           St Etienne            15          19   0.71    0.9    1.27\n",
      "17             Guingamp            21          24    1.0   1.14    1.14\n",
      "16             Toulouse            22          22   1.05   1.05     1.0\n",
      "9             Marseille            25          24   1.19   1.14    0.96\n",
      "6             Dijon FCO            29          26   1.38   1.24     0.9\n",
      "5              Bordeaux            22          19   1.05    0.9    0.86\n",
      "11         Stade Rennes            24          20   1.14   0.95    0.83\n",
      "3           Montpellier            33          27   1.57   1.29    0.82\n",
      "7     AS Nancy Lorraine            20          16    1.0    0.8     0.8\n",
      "0                Bastia            24          18   1.14   0.86    0.75\n",
      "15                Lille            23          17    1.1   0.81    0.74\n",
      "13               Angers            26          17   1.24   0.81    0.65\n",
      "2                  Caen            32          20    1.6    1.0    0.62\n",
      "14              Lorient            40          21    1.9    1.0    0.53\n",
      "4                  Metz            34          17    1.7   0.85     0.5\n",
      "12               Nantes            28          13   1.33   0.62    0.46\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2012 ######\n",
      "#########################################################\n",
      "               ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "9        Real Madrid            25         104   0.74   3.06    4.16\n",
      "8          Barcelona            26         104   0.74   2.97     4.0\n",
      "1           Valencia            35          51   0.97   1.42    1.46\n",
      "6    Atletico Madrid            45          53   1.22   1.43    1.18\n",
      "17           Levante            42          48    1.2   1.37    1.14\n",
      "3            Sevilla            46          46   1.21   1.21     1.0\n",
      "4    Athletic Bilbao            50          47   1.35   1.27    0.94\n",
      "18            Malaga            49          45   1.36   1.25    0.92\n",
      "7           Mallorca            46          40   1.21   1.05    0.87\n",
      "15        Real Betis            55          45   1.49   1.22    0.82\n",
      "10        Villarreal            45          35   1.29    1.0    0.78\n",
      "11     Real Sociedad            51          40   1.42   1.11    0.78\n",
      "13          Espanyol            55          42   1.53   1.17    0.76\n",
      "16    Rayo Vallecano            68          50   1.84   1.35    0.74\n",
      "19           Granada            37          27   1.48   1.08    0.73\n",
      "12           Osasuna            59          43   1.64   1.19    0.73\n",
      "2      Real Zaragoza            51          36   1.42    1.0    0.71\n",
      "5             Getafe            47          31   1.42   0.94    0.66\n",
      "0     Sporting Gijon            59          38   1.64   1.06    0.64\n",
      "14  Racing Santander            58          24   1.57   0.65    0.41\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2013 ######\n",
      "#########################################################\n",
      "                  ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "5             Barcelona            38         108    1.0   2.84    2.84\n",
      "4           Real Madrid            38          98   1.03   2.65    2.58\n",
      "19      Atletico Madrid            30          64   0.79   1.68    2.13\n",
      "13        Real Sociedad            39          66   1.05   1.78    1.69\n",
      "17             Valencia            53          65   1.39   1.71    1.23\n",
      "10               Malaga            49          52   1.29   1.37    1.06\n",
      "1               Sevilla            52          54   1.37   1.42    1.04\n",
      "11           Real Betis            52          50   1.37   1.32    0.96\n",
      "12             Espanyol            50          42   1.32   1.11    0.84\n",
      "18      Real Valladolid            58          47   1.53   1.24    0.81\n",
      "14               Getafe            55          42   1.45   1.11    0.76\n",
      "8        Rayo Vallecano            66          49   1.74   1.29    0.74\n",
      "2            Celta Vigo            51          37   1.34   0.97    0.73\n",
      "3               Levante            56          39   1.47   1.03     0.7\n",
      "16              Granada            53          37   1.39   0.97     0.7\n",
      "15              Osasuna            48          33   1.26   0.87    0.69\n",
      "6       Athletic Bilbao            60          41   1.58   1.08    0.68\n",
      "7   Deportivo La Coruna            68          45   1.79   1.18    0.66\n",
      "9         Real Zaragoza            60          37   1.58   0.97    0.62\n",
      "0              Mallorca            71          41   1.87   1.08    0.58\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2014 ######\n",
      "#########################################################\n",
      "              ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "18  Atletico Madrid            24          72   0.63   1.89     3.0\n",
      "3         Barcelona            33          92   0.87   2.42    2.79\n",
      "5       Real Madrid            37         102   0.97   2.68    2.76\n",
      "11  Athletic Bilbao            38          63    1.0   1.66    1.66\n",
      "12       Villarreal            41          56   1.08   1.47    1.37\n",
      "4           Sevilla            49          66   1.29   1.74    1.35\n",
      "2     Real Sociedad            55          60   1.45   1.58    1.09\n",
      "17          Levante            36          34   0.95   0.89    0.94\n",
      "0          Valencia            53          49   1.39   1.29    0.92\n",
      "7        Celta Vigo            52          47   1.37   1.24     0.9\n",
      "16           Malaga            45          39   1.18   1.03    0.87\n",
      "14         Espanyol            48          39   1.26   1.03    0.81\n",
      "10           Getafe            52          35   1.37   0.92    0.67\n",
      "13            Elche            47          30   1.24   0.79    0.64\n",
      "1   Real Valladolid            57          36    1.5   0.95    0.63\n",
      "8           Almeria            67          41   1.76   1.08    0.61\n",
      "19          Granada            55          30   1.45   0.79    0.55\n",
      "9    Rayo Vallecano            79          43   2.08   1.13    0.54\n",
      "6           Osasuna            59          30   1.55   0.79    0.51\n",
      "15       Real Betis            72          35   1.89   0.92    0.49\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2015 ######\n",
      "#########################################################\n",
      "                  ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "7             Barcelona            18          96   0.53   2.82    5.33\n",
      "9           Real Madrid            35         101   1.03   2.97    2.89\n",
      "10             Valencia            26          65   0.76   1.91     2.5\n",
      "15      Atletico Madrid            24          57   0.71   1.68    2.38\n",
      "0               Sevilla            36          62   1.06   1.82    1.72\n",
      "19           Villarreal            32          40   0.94   1.18    1.25\n",
      "4            Celta Vigo            40          42   1.18   1.24    1.05\n",
      "13             Espanyol            43          41   1.26   1.21    0.95\n",
      "14      Athletic Bilbao            38          36   1.12   1.06    0.95\n",
      "2                Malaga            41          36   1.21   1.06    0.88\n",
      "17        Real Sociedad            48          39   1.41   1.15    0.81\n",
      "8        Rayo Vallecano            60          41   1.71   1.17    0.68\n",
      "16  Deportivo La Coruna            55          34   1.57   0.97    0.62\n",
      "5                 Eibar            46          27   1.35   0.79    0.59\n",
      "18                Elche            53          31   1.56   0.91    0.58\n",
      "1               Almeria            58          32   1.66   0.91    0.55\n",
      "11               Getafe            57          30   1.63   0.86    0.53\n",
      "3               Granada            54          26   1.59   0.76    0.48\n",
      "6               Levante            60          28   1.76   0.82    0.47\n",
      "12              Cordoba            57          17   1.68    0.5     0.3\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2016 ######\n",
      "#########################################################\n",
      "                  ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "14            Barcelona            29         108   0.78   2.92    3.72\n",
      "2       Atletico Madrid            18          57   0.49   1.54    3.17\n",
      "12          Real Madrid            34         106   0.92   2.86    3.12\n",
      "10           Villarreal            32          43   0.86   1.16    1.34\n",
      "8       Athletic Bilbao            42          55   1.14   1.49    1.31\n",
      "18              Sevilla            47          49   1.27   1.32    1.04\n",
      "0                Malaga            34          34   0.92   0.92     1.0\n",
      "15             Valencia            47          45   1.27   1.22    0.96\n",
      "11        Real Sociedad            47          44   1.27   1.19    0.94\n",
      "19           Las Palmas            47          44   1.27   1.19    0.94\n",
      "13           Celta Vigo            56          49   1.51   1.32    0.88\n",
      "4   Deportivo La Coruna            58          45   1.57   1.22    0.78\n",
      "17                Eibar            56          43   1.51   1.16    0.77\n",
      "9               Granada            63          44    1.7   1.19     0.7\n",
      "1        Rayo Vallecano            72          49   1.95   1.32    0.68\n",
      "5            Real Betis            47          31   1.27   0.84    0.66\n",
      "7        Sporting Gijon            62          36   1.68   0.97    0.58\n",
      "16               Getafe            63          36    1.7   0.97    0.57\n",
      "6               Levante            63          35    1.7   0.95    0.56\n",
      "3              Espanyol            71          35   1.92   0.95    0.49\n",
      "#########################################################\n",
      "## the Informations about the La Liga 2017 ######\n",
      "#########################################################\n",
      "                  ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "4             Barcelona            15          45   0.79   2.37     3.0\n",
      "12          Real Madrid            17          45   0.94    2.5    2.65\n",
      "5       Atletico Madrid            15          33   0.79   1.74     2.2\n",
      "16           Villarreal            13          25   0.68   1.32    1.92\n",
      "2               Sevilla            20          36   1.05   1.89     1.8\n",
      "6         Real Sociedad            22          30   1.16   1.58    1.36\n",
      "19      Athletic Bilbao            18          22   0.95   1.16    1.22\n",
      "11             Espanyol            20          21   1.05   1.11    1.05\n",
      "15                Eibar            26          24   1.37   1.26    0.92\n",
      "9            Celta Vigo            32          29   1.68   1.53    0.91\n",
      "18           Las Palmas            27          24   1.42   1.26    0.89\n",
      "8              Valencia            29          25   1.61   1.39    0.86\n",
      "17               Alaves            19          16    1.0   0.84    0.84\n",
      "0                Malaga            31          26   1.63   1.37    0.84\n",
      "1   Deportivo La Coruna            28          21   1.47   1.11    0.75\n",
      "10           Real Betis            24          18   1.26   0.95    0.75\n",
      "7        Sporting Gijon            36          17   1.89   0.89    0.47\n",
      "13              Osasuna            41          19   2.16    1.0    0.46\n",
      "14              Leganes            31          14   1.63   0.74    0.45\n",
      "3               Granada            41          15   2.16   0.79    0.37\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2012 ######\n",
      "#########################################################\n",
      "             ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "4         Juventus            18          62   0.49   1.68    3.44\n",
      "0         AC Milan            26          68   0.74   1.94    2.62\n",
      "12         Udinese            30          46   0.86   1.31    1.53\n",
      "19          Napoli            44          55   1.26   1.57    1.25\n",
      "15           Lazio            38          46   1.09   1.31    1.21\n",
      "7          AS Roma            47          56   1.31   1.56    1.19\n",
      "13           Parma            48          52    1.3   1.41    1.08\n",
      "9   Internazionale            47          50   1.38   1.47    1.06\n",
      "16           Siena            43          44   1.16   1.19    1.02\n",
      "11         Bologna            37          37   1.03   1.03     1.0\n",
      "14        Atalanta            39          37   1.11   1.06    0.95\n",
      "6          Catania            51          47   1.34   1.24    0.92\n",
      "2          Palermo            57          47   1.54   1.27    0.82\n",
      "8       Fiorentina            40          32   1.08   0.86     0.8\n",
      "10        Cagliari            44          35   1.16   0.92     0.8\n",
      "3    Chievo Verona            43          32   1.16   0.86    0.74\n",
      "5            Lecce            53          39   1.47   1.08    0.74\n",
      "18           Genoa            66          46   1.78   1.24     0.7\n",
      "17          Novara            63          33    1.7   0.89    0.52\n",
      "1           Cesena            52          20   1.49   0.57    0.38\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2013 ######\n",
      "#########################################################\n",
      "             ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "0         Juventus            24          67   0.63   1.76    2.79\n",
      "12          Napoli            36          70   0.95   1.84    1.94\n",
      "5         AC Milan            38          66    1.0   1.74    1.74\n",
      "1       Fiorentina            43          70   1.13   1.84    1.63\n",
      "14         Udinese            43          58   1.13   1.53    1.35\n",
      "7          AS Roma            54          66   1.46   1.78    1.22\n",
      "16           Lazio            42          50   1.11   1.32    1.19\n",
      "15         Catania            44          48   1.16   1.26    1.09\n",
      "17           Parma            44          45   1.16   1.18    1.02\n",
      "13  Internazionale            56          52   1.47   1.37    0.93\n",
      "10         Bologna            50          46   1.32   1.21    0.92\n",
      "11          Torino            55          46   1.45   1.21    0.84\n",
      "19        Cagliari            50          42   1.35   1.14    0.84\n",
      "18       Sampdoria            51          42   1.34   1.11    0.82\n",
      "8         Atalanta            53          39   1.39   1.03    0.74\n",
      "4            Genoa            52          36   1.37   0.95    0.69\n",
      "9    Chievo Verona            52          35   1.37   0.92    0.67\n",
      "2          Palermo            51          34   1.34   0.89    0.67\n",
      "3            Siena            57          36    1.5   0.95    0.63\n",
      "6       US Pescara            80          27   2.11   0.71    0.34\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2014 ######\n",
      "#########################################################\n",
      "             ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "11        Juventus            22          79   0.58   2.08    3.59\n",
      "17         AS Roma            25          67   0.68   1.81    2.68\n",
      "6           Napoli            39          74   1.03   1.95     1.9\n",
      "2   Internazionale            39          60   1.03   1.58    1.54\n",
      "9       Fiorentina            43          62   1.13   1.63    1.44\n",
      "19        AC Milan            45          55   1.22   1.49    1.22\n",
      "5            Parma            46          56   1.21   1.47    1.22\n",
      "3           Torino            47          55   1.24   1.45    1.17\n",
      "8            Lazio            52          51   1.37   1.34    0.98\n",
      "1    Hellas Verona            66          60   1.74   1.58    0.91\n",
      "18        Atalanta            49          42   1.29   1.11    0.86\n",
      "15           Genoa            48          41   1.26   1.08    0.85\n",
      "16         Udinese            55          44   1.45   1.16     0.8\n",
      "0        Sampdoria            61          47   1.61   1.24    0.77\n",
      "13        Sassuolo            66          43   1.74   1.13    0.65\n",
      "10   Chievo Verona            52          34   1.37   0.89    0.65\n",
      "4         Cagliari            52          31   1.37   0.82     0.6\n",
      "12         Bologna            54          28   1.42   0.74    0.52\n",
      "7          Livorno            73          38   1.92    1.0    0.52\n",
      "14         Catania            64          31   1.68   0.82    0.48\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2015 ######\n",
      "#########################################################\n",
      "             ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "10        Juventus            24          70   0.63   1.84    2.92\n",
      "15           Lazio            35          69   0.92   1.82    1.97\n",
      "1          AS Roma            31          52   0.82   1.37    1.68\n",
      "13      Fiorentina            44          61   1.16   1.61    1.39\n",
      "3            Genoa            44          61   1.16   1.61    1.39\n",
      "17          Napoli            52          68   1.37   1.79    1.31\n",
      "18  Internazionale            47          59   1.27   1.59    1.26\n",
      "12       Sampdoria            40          47   1.05   1.24    1.18\n",
      "7         AC Milan            49          53   1.32   1.43    1.08\n",
      "8           Torino            45          48   1.18   1.26    1.07\n",
      "6          Palermo            54          51   1.42   1.34    0.94\n",
      "11          Empoli            50          46   1.32   1.21    0.92\n",
      "4         Sassuolo            56          48   1.47   1.26    0.86\n",
      "19   Hellas Verona            64          48   1.68   1.26    0.75\n",
      "5          Udinese            56          40   1.47   1.05    0.71\n",
      "14        Cagliari            67          47   1.76   1.24     0.7\n",
      "2         Atalanta            56          38   1.47    1.0    0.68\n",
      "0    Chievo Verona            40          27   1.05   0.71    0.68\n",
      "9           Cesena            73          35   1.92   0.92    0.48\n",
      "16           Parma            74          33   1.95   0.87    0.45\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2016 ######\n",
      "#########################################################\n",
      "             ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "2         Juventus            19          70   0.51   1.89    3.68\n",
      "12          Napoli            28          74   0.76    2.0    2.64\n",
      "18         AS Roma            39          76   1.05   2.05    1.95\n",
      "5   Internazionale            34          48   0.92    1.3    1.41\n",
      "8       Fiorentina            40          54   1.08   1.46    1.35\n",
      "10        AC Milan            38          48   1.03    1.3    1.26\n",
      "3         Sassuolo            38          44   1.03   1.19    1.16\n",
      "0            Lazio            47          48   1.27    1.3    1.02\n",
      "15           Genoa            44          43   1.19   1.16    0.98\n",
      "13          Torino            52          49   1.41   1.32    0.94\n",
      "19        Atalanta            45          39   1.22   1.05    0.87\n",
      "17   Chievo Verona            44          38   1.19   1.03    0.86\n",
      "6           Empoli            44          36   1.19   0.97    0.82\n",
      "9        Sampdoria            54          43   1.46   1.16     0.8\n",
      "11         Bologna            43          32   1.16   0.86    0.74\n",
      "14           Carpi            51          33   1.38   0.89    0.65\n",
      "16         Udinese            57          33   1.54   0.89    0.58\n",
      "4          Palermo            61          34   1.65   0.92    0.56\n",
      "1    Hellas Verona            59          31   1.59   0.84    0.53\n",
      "7        Frosinone            70          34   1.89   0.92    0.49\n",
      "#########################################################\n",
      "## the Informations about the Serie A 2017 ######\n",
      "#########################################################\n",
      "             ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "0         Juventus            15          40   0.75    2.0    2.67\n",
      "1          AS Roma            18          38   0.86   1.81    2.11\n",
      "11          Napoli            22          43   1.05   2.05    1.95\n",
      "14  Internazionale            20          33   0.95   1.57    1.65\n",
      "19      Fiorentina            21          32   1.05    1.6    1.52\n",
      "6         Atalanta            20          30   0.95   1.43     1.5\n",
      "10           Lazio            21          31    1.0   1.48    1.48\n",
      "9         AC Milan            21          28   1.05    1.4    1.33\n",
      "13          Torino            28          36   1.33   1.71    1.29\n",
      "16         Udinese            24          25   1.14   1.19    1.04\n",
      "15        Sassuolo            32          32   1.52   1.52     1.0\n",
      "17       Sampdoria            27          21   1.29    1.0    0.78\n",
      "4          Bologna            25          19   1.25   0.95    0.76\n",
      "7            Genoa            28          21   1.33    1.0    0.75\n",
      "12        Cagliari            42          29    2.0   1.38    0.69\n",
      "3    Chievo Verona            30          19   1.43    0.9    0.63\n",
      "2           Empoli            25          12   1.19   0.57    0.48\n",
      "18         Crotone            35          15   1.75   0.75    0.43\n",
      "8          Palermo            40          17    1.9   0.81    0.42\n",
      "5       US Pescara            39          12   1.95    0.6    0.31\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2012 ######\n",
      "#########################################################\n",
      " No details on the Matchs od this league\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2013 ######\n",
      "#########################################################\n",
      " No details on the Matchs od this league\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2014 ######\n",
      "#########################################################\n",
      "              ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "4   Manchester City            29          84   0.91   2.62     2.9\n",
      "13          Chelsea            22          61   0.69   1.91    2.77\n",
      "3         Liverpool            45          89   1.41   2.78    1.98\n",
      "15          Everton            29          51   0.91   1.59    1.76\n",
      "10   Manchester Utd            34          54   1.06   1.69    1.59\n",
      "16          Arsenal            33          51   1.03   1.59    1.55\n",
      "7         Tottenham            43          49   1.34   1.53    1.14\n",
      "17          Swansea            43          45   1.34   1.41    1.05\n",
      "9       Southampton            43          44   1.34   1.38    1.02\n",
      "11       Stoke City            45          40   1.41   1.25    0.89\n",
      "2        Sunderland            42          36   1.31   1.12    0.86\n",
      "19   Crystal Palace            34          28   1.06   0.88    0.82\n",
      "12         West Ham            46          33   1.44   1.03    0.72\n",
      "14        Newcastle            47          34   1.47   1.06    0.72\n",
      "0              Hull            45          32   1.41    1.0    0.71\n",
      "6         West Brom            52          33   1.62   1.03    0.63\n",
      "18      Aston Villa            51          30   1.59   0.94    0.59\n",
      "1            Fulham            76          35   2.38   1.09    0.46\n",
      "8      Norwich City            53          23   1.66   0.72    0.43\n",
      "5           Cardiff            65          25   2.03   0.78    0.38\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2015 ######\n",
      "#########################################################\n",
      "              ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "19  Manchester City            38          81    1.0   2.13    2.13\n",
      "15          Chelsea            31          66   0.82   1.74    2.13\n",
      "5           Arsenal            34          69   0.89   1.82    2.03\n",
      "4    Manchester Utd            35          61   0.92   1.61    1.74\n",
      "13      Southampton            30          52   0.79   1.37    1.73\n",
      "3        Stoke City            43          47   1.13   1.24    1.09\n",
      "17        Tottenham            53          56   1.39   1.47    1.06\n",
      "8         Liverpool            47          47   1.24   1.24     1.0\n",
      "14   Crystal Palace            47          46   1.24   1.21    0.98\n",
      "1          West Ham            46          44   1.21   1.16    0.96\n",
      "11          Everton            47          43   1.24   1.13    0.91\n",
      "10          Swansea            47          43   1.24   1.13    0.91\n",
      "6    Leicester City            52          44   1.37   1.16    0.85\n",
      "0         West Brom            48          36   1.26   0.95    0.75\n",
      "18             Hull            47          32   1.24   0.84    0.68\n",
      "7         Newcastle            60          40   1.58   1.05    0.67\n",
      "2               QPR            72          42   1.89   1.11    0.58\n",
      "9           Burnley            49          27   1.29   0.71    0.55\n",
      "16       Sunderland            50          27   1.32   0.71    0.54\n",
      "12      Aston Villa            57          30    1.5   0.79    0.53\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2016 ######\n",
      "#########################################################\n",
      "              ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "12        Tottenham            33          68   0.87   1.79    2.06\n",
      "8           Arsenal            34          65   0.89   1.71    1.91\n",
      "3    Leicester City            34          63   0.89   1.66    1.85\n",
      "18  Manchester City            40          67   1.05   1.76    1.68\n",
      "14      Southampton            39          56   1.05   1.51    1.44\n",
      "5    Manchester Utd            35          48   0.92   1.26    1.37\n",
      "19        Liverpool            49          61   1.29   1.61    1.24\n",
      "11         West Ham            51          61   1.34   1.61     1.2\n",
      "2           Chelsea            51          58   1.34   1.53    1.14\n",
      "1           Everton            52          57   1.37    1.5     1.1\n",
      "15          Swansea            49          40   1.29   1.05    0.82\n",
      "16       Sunderland            57          46   1.54   1.24    0.81\n",
      "13          Watford            48          38   1.26    1.0    0.79\n",
      "7        Stoke City            54          41   1.42   1.08    0.76\n",
      "9         West Brom            46          34   1.21   0.89    0.74\n",
      "17   Crystal Palace            50          36   1.32   0.95    0.72\n",
      "0       Bournemouth            65          44   1.71   1.16    0.68\n",
      "6         Newcastle            63          42   1.66   1.11    0.67\n",
      "4      Norwich City            65          38   1.71    1.0    0.58\n",
      "10      Aston Villa            74          26   1.95   0.68    0.35\n",
      "#########################################################\n",
      "## the Informations about the Premier League 2017 ######\n",
      "#########################################################\n",
      "              ATeam ButsEncaisses ButsMarques RatioE RatioM RatioME\n",
      "9           Chelsea            14          44   0.64    2.0    3.14\n",
      "12        Tottenham            15          44   0.68    2.0    2.93\n",
      "7           Arsenal            19          47   0.86   2.14    2.47\n",
      "19        Liverpool            23          47   1.05   2.14    2.04\n",
      "10   Manchester Utd            19          30   0.86   1.36    1.58\n",
      "1   Manchester City            27          41   1.23   1.86    1.52\n",
      "4           Everton            22          32    1.0   1.45    1.45\n",
      "13        West Brom            28          28   1.27   1.27     1.0\n",
      "8       Bournemouth            36          31   1.64   1.41    0.86\n",
      "0       Southampton            25          21   1.14   0.95    0.84\n",
      "14       Stoke City            33          27    1.5   1.23    0.82\n",
      "18         West Ham            34          28   1.55   1.27    0.82\n",
      "5    Crystal Palace            40          30   1.82   1.36    0.75\n",
      "6           Burnley            31          23   1.41   1.05    0.74\n",
      "2     Middlesbrough            24          17   1.09   0.77    0.71\n",
      "16   Leicester City            34          23   1.55   1.05    0.68\n",
      "15          Watford            37          23   1.68   1.05    0.62\n",
      "11          Swansea            51          25   2.32   1.14    0.49\n",
      "17       Sunderland            40          19   1.82   0.86    0.47\n",
      "3              Hull            46          18   2.09   0.82    0.39\n"
     ]
    }
   ],
   "source": [
    "encaissement(df_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def AllinfosPerLeague(league):\n",
    "    Marques=[]\n",
    "    Encaisse=[]\n",
    "    LS= df_data.loc[(df_data['league'] == league),:]\n",
    "    Seasons =LS.season.unique()\n",
    "    for season in Seasons:\n",
    "        LS= df_data.loc[(df_data['league'] == league) & (df_data['season'] == season),:]\n",
    "        Teams= LS.iloc[:,4].unique()\n",
    "        Match= LS.iloc[:,0].unique()\n",
    "        Victoire=[]\n",
    "        defaite=[]\n",
    "        for i in range (Match.shape[0]):\n",
    "            events= LS.loc[(LS['id_odsp'] == Match[i]),:]\n",
    "            ht= events.iloc[1,4]\n",
    "            at=events.iloc[1,5]\n",
    "            butat=0\n",
    "            butht=0\n",
    "            butrat=0\n",
    "            butrht=0\n",
    "            for j in range (1,events.shape[0]):\n",
    "                if events.iloc[j,7]==True:\n",
    "                    if (events.iloc[j,6]== ht):\n",
    "                        butht = butht + 1\n",
    "                    else:\n",
    "                        butat= butat + 1\n",
    "            butrat= butht\n",
    "            butrht=butat\n",
    "            item=[Match[i],ht,at,butat,butht,butrht,butrat]\n",
    "            Victoire.append(item)\n",
    "        Victoire= np.array(Victoire)\n",
    "        df = pd.DataFrame({'Match':Victoire[:,0], 'hote':Victoire[:,1],'oponent':Victoire[:,2],'butmopponent':Victoire[:,3],'butmhote':Victoire[:,4],'butrhote':Victoire[:,5],'butropponent':Victoire[:,6]})\n",
    "       \n",
    "        for k in Teams :\n",
    "            marque=0\n",
    "            encaisse=0\n",
    "            datateam= df.loc[(df['hote'] == k) | (df['oponent'] == k),:]\n",
    "            #print(datateam)\n",
    "            for j in range (1, datateam.shape[0]):\n",
    "                if (datateam.iloc[j,5]== k):\n",
    "                    marque += int(datateam.iloc[j,1])\n",
    "                    encaisse += int(datateam.iloc[j,3])\n",
    "                else:\n",
    "                    marque+= int(datateam.iloc[j,2])\n",
    "                    encaisse += int(datateam.iloc[j,4])\n",
    "            elem=[k,marque,season]\n",
    "            elem1=[k,encaisse,season]\n",
    "            Marques.append(elem)\n",
    "            Encaisse.append(elem1)\n",
    "    Marques= np.array(Marques)\n",
    "    Encaisse= np.array(Encaisse)\n",
    "    dfMarques = pd.DataFrame({'ATeam':Marques[:,0],'ButsMarques':Marques[:,1],'Season':Marques[:,2]})\n",
    "    \n",
    "    dfEncaisse = pd.DataFrame({'ATeam':Encaisse[:,0],'ButsRecus':Encaisse[:,1],'Season':Encaisse[:,2]})\n",
    "    \n",
    "    \n",
    "    return dfMarques,dfEncaisse\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dfMarques,dfEncaisse = AllinfosPerLeague(\"Premier League\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#function for justifying the best teams\n",
    "#theirs behaviours at home (Number of Goals )\n",
    "def teambehaviours(team):\n",
    "    Seasons =df_data.season.unique()\n",
    "    results=[]\n",
    "    for season in Seasons:\n",
    "        LS=df_data.loc[((df_data['ht'] == team) | (df_data['at'] == team)) & (df_data['season'] == season),:]\n",
    "        Match= LS.iloc[:,0].unique()\n",
    "        N= Match.shape[0]\n",
    "        ls=(LS.loc[(LS['is_goal']==True) & (LS['event_team']==team),:]).shape[0]\n",
    "        ls1=(LS.loc[(LS['is_goal']==True) & (LS['event_team']!=team),:]).shape[0]\n",
    "        NbrGoalHome=(LS.loc[(LS['ht']==team) & (LS['is_goal']==True) & (LS['event_team']==team),:]).shape[0]\n",
    "        if N==0:\n",
    "            r=0\n",
    "            r1=0\n",
    "            rME=0\n",
    "        else:\n",
    "            r= round(ls/N,2)\n",
    "            r1=round(ls1/N,2)\n",
    "            rME= round(ls/ls1, 2)\n",
    "        #item=[season,N,ls,NbrGoalHome,ls-NbrGoalHome,ls1,r]\n",
    "        item=[season,N,ls,NbrGoalHome,ls-NbrGoalHome,ls1,r,r1,rME]\n",
    "        results.append(item)\n",
    "    results= np.array(results)\n",
    "    dfresults = pd.DataFrame({'Seasons':results[:,0],'BMatch':results[:,1],'TotalGoals':results[:,2],'GoalsHome':results[:,3],'GoalsOutside':results[:,4],'GoalsReceive':results[:,5],'RatioM':results[:,6],'RatioE':results[:,7],'RatioME':results[:,8]})\n",
    "    #dfresults = pd.DataFrame({'ASeasons':results[:,0],'BMatch':results[:,1],'CTotalGoals':results[:,2],'GoalsHome':results[:,3],'GoalsOutside':results[:,4],'GoalsReceive':results[:,5],'RatioM':results[:,6]})\n",
    "    return dfresults\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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8fzIUGo2GqG8Wk5+eTvUhg3VSiGuDytSUmsOHcWHaDG4sXUajTz/Wm9s+tanC\nxbitre199/QIUdk0RUXEbdyEytQUn34PTnqiJNf27Ug7dIRbR4+RuPMXqj1T9uHqfi8Pe+SV9ccR\nHh6O32NeoZwwYQIjRoxg9OjReHp6olarCQsLo6ioiPz8fFQqFYWFhfe9p3Hjxhw7doxmzZpx5syZ\n+2ZrBejRowdjxozh7bffrnCbRNn4DOxP6oGDxK7bgPNTTxrlHzMhQPvnTShf74ecO8tn8ODBTJ06\nlSFDhpCbm8v06dPZunWrTlei0MUxUx7lPWYuXrwIYFTHTPKeX4nftAWA2LXryboeTe13xmBmba1w\nMuOQsncf6YeOYN+gPj7P91M6zr9ybNIY51ZPcuvYcdIPH8G1bRulI2mdLG0mDF76kaPkxCfg3qWz\nXswC+Vclw9Vf5e6Fi8SsWIVTYHOs/pgJ1hD4+vrSvXt3IiIiiImJYejQoXTp0oXg4GBmzJhBr169\nmDhx4n1X3ENDQ5kyZQqhoaFoNBqmT59+3zZbtmyJubk53bp1e2B/fx9qCTB79myqVaummwZWEdY+\nPri2a0PawUPcOn4Sl1YtlY4khFGTc2f5WFpaMmfOnIc+XxkrUSilvMfMqFGjjOqYuRNxgWuLv8PM\nzhaTAf2xOnmKW8dPcG7CZOpPmYiVt2Ed0/omJzGR6/9Zgqm1NbX1YBmzsqj5cigZ4ae4sWwlzi2f\nwMTIRmCrNP80I4YO6fMEYNog7atcGo2GM2PHkX0zlhbffFXhQldX7Us98DtX5/wf9g3q0+iTjxQZ\nbqVvn522Sfv+XfbNm5we8y42/v40nTNb73rH5fMzXMbcNpD2GTppn+HISUzi3ISJFGXn0PDD6UTl\n59GiWTNuLF9Jwo/bS9bBfncszk8YR3sr+7MrLizk/KSp3IuMos64sbgFlW+y47LSZvuily4j4cft\n1Agdik//vlrZZkVpq31yA4YwaBknTpJ9Iwa39u30usfZtX1bXFq34u7FSyT+tFPpOKIKsq5eHZc2\nT5F17RoZ4aeUjiOEEEKUKszK4tLMTynMvEetUa/i0LgRUHLfsN/wl6j9zhg0BYVcmjmLuI2b/3F2\nffHvYteu515kFG7BHXReiGub78ABmNnZEbdhE/m3bysdR6ukGBcGS6PRELt+EwA+z+vHVbKHUalU\n+L/+KmZ2dsSs+C85CQlKRxJVkO/AAQDErt0gX2SEEELoBU1REVc+n0NOXDzVnuuNR9cuD7zGPbgD\njWfNxNxGyL+qAAAgAElEQVTFhZiV/+XK53MoyslRIK1hunPhAnEbN2Ph4Y7/ayOUjvPYzGxtqD5k\nMEU5OdxcvVbpOFolxbgwWHfOnuNeZCQurVthXb260nEeydzREf/XRlKcn0/Ugm/Q/GXWUyEqg03N\nGri0bsW9yEhunz6jdBwhhBCC6CXLuH3mLE5PBFJzWMhDX2cbUIumcz7HvmED0g8f4dzEKeQmJVVi\nUsNUeC+Lq3O/ApWKOu+ONdiJ8Dy7d8XK14fkPWFk3bihdBytkWJcGKzY9RsB8BnwvMJJys61XRtc\n2rQuGa6+Q4ari8rnU9o7vl56x4UQQigq8edfSPxpJ9Y1qlNn3NhHTihm7uhAw48+wLNnD7JjbnJ2\n3ERunzlbSWkNj0aj4dqib8lPS8N30ADs69VVOlK5/XnLAsXFRC9ZZjTfYaQYFwbpzoWL3L1wEafA\nFtjW8lc6TpmpVCr8XxuJmb09MStluLqofLb+fji3aknmlavcOXtO6ThCCCGqqNtnznL9P0tQO9hT\nf+rkMvfYmpiZUeu1kQS8OYqi3FwufDiT+K3bjKY406bUfb+R9vsh7OrXw3dAf6XjVJhTi+Y4tmjO\nnXPnyThxUuk4WiHFuDBIcRv+uFd8oOH0iv/J3NGBWq+XDFeP/OprNEVFSkcSVYzvoIEA3JTecSGE\nEArIjovn8udzUJmYUG/yRCw93B97Gx5du9D4049ROzhw44flXJ07n6K8PB2kNUw5iUlc+/Y7TK2t\nqfPO2waxjFlZ+L08DExMiP5hBcUFBUrHqTApxoXByYyM4vbpMzg0aWyww21c27bBpW1rMi9dJkGG\nq4tKZlvLH6eWgWReusyd8xFKxxFCCFGFFGRmcumTWRRlZRHw5ijs69cr97bs6tah2dwvsKtbl7QD\nBzk/aSq5KSlaTGuYigsLuTp3HsW5ufi/NrJcFzv0lXV1Xzx7dCM3IYGkn3cpHafCpBgXBiduw5/3\nihv2cJtar41E7WDPzVWryY6LVzqOqGL+7B2PXbdB4SRCCCGqiuLCQq7M/pLchER8nu+He8fgCm/T\n3NmJRp98iEfXLmRdj+bsuIlV/kJz7LoN3LsaiVuHINyDg5SOo3XVXxiEqY01N9eup+BuptJxKkSK\ncWFQsm7c4NaxE9jVrVu6BqWhUjs44P/aqyWzq8twdVHJ7GoH4BTYnLsRF7gTcUHpOEIIIYycRqPh\n+n++5875CJxbPUn1F1/Q2rZN1GpqjX4d/9dfpSgri4jpH5L4084qeSvWnQsXS5YxczfMZczKQm1v\nj++gARRlZRG7dr3ScSpEinFhUOI2bAbAZ2B/VCqVwmkqzrVta1zatiHzyhUStv+kdBxRxUjvuBBC\niMqSuOMnknftwcbPjzrvjEFlot0yRKVS4fV0dxp+PAO1nR3X/7OEqIXfUJyfr9X96LPCe1lE/t98\nAOq8+zZmNjYKJ9Idr55PY+nlSeLPv5AdF6d0nHKTYlwYjOy4eNIOHcbG3w+nwBZKx9GaWq+PRO3g\nwM3/rpHh6qJS2dWtg2Ozptw5d567Fy8pHUcIIYSRygg/RfTS5aidHKk/dRKmVlY625dDwwY0nfM5\ntgG1SPl1L+enTicvPV1n+9MXGo2Ga9/+h7zUNHwHPl+he/ENgYlaTc2XQqG4mBs/rFA6TrlJMS4M\nRvymLaDR4DvweaPoFf+T2t6eWqNkuLpQhu9g6R0XQgihO9k3b3Lli7mYmJlRf8okLNxcdb5PCzdX\nGn36MW4dg7l3NZKz497j7qXLOt+vklL3/0bagd+xq1sXXwNcbag8nFs9iUPjRmScDCfj9Bml45SL\nFOPCIOQmp5Cy/zesfH1wbvWk0nG0zqX1U7i2b1syXH3bDqXjiCrEvn49HJo05vaZs9y9fEXpOEII\nIYxIwZ07XJw5i6KcHALGvIldndqVtm9TCwtqv/0mfiNepuDOXSLe/4Ck3Xsqbf+VKTcpievffo+p\nlRV13h1jNMuYPYpKpaLm8JdApeLG0mUG2aElxbgwCPGbt0BxMT7P99f6PUb6wv/VEagdHIj57xqD\nvvdFGB7pHRdCCKFtxQUFXP7sC/KSU/AdPBC39m0rPYNKpaJa72do+OF0TK2suPb1Yq4t+tYo1qf+\nk6aoiKtzv6IoJwf/10Zg6empdKRKZevvh3vnTmTfjCVp969Kx3lsxlnVCKOSl55O8q97sfT0VORE\nXllKhqu/hqaggMj5Cw3y6p4wTA4NG2DfqCG3T50m82qk0nGEEEIYOI1Gw7VvvuXuxUu4tmtbetFX\nKY5NGtN0zufY+NUk6ZfdREybQX5GhqKZtCV2/UYyr1zBNagdbsEdlI6jiBpDX8DE0pLYNWspzMpS\nOs5jkWJc6L2ErdvQFBbi83xfox9249K6Fa5B7bh3NZL4H7crHUeUU05ODm+//TZDhw5lwIAB7Nu3\n777nO3XqxJAhQwgJCSEkJITk5GSFkv5PdekdF0IIoSXxW34kZe8+bGsHEDBmtF7M9WPp4U7j2Z+W\n3BZ46TJnx71HZmSU0rEq5O6ly8Su34iFuxu1XntVL37PSjB3csJ3QH8K7twlbsMmpeM8FinGhV4r\nuHOHpF92Y+7qWmWu9vmPHIHa0ZGbq9eSHSvD1Q3Rvn37aNSoEatWrWLevHl89tlnD7zmu+++Y+XK\nlaxcuRIPDw8FUt7PvlFD7BvUJ+NkuMF/ORFCCKGc9GPHiVmxCnMXZ+pPmYSphYXSkUqZWlhQZ9w7\n1BgWQn7Gbc5Pfp+Uvfse/UY9VJiVxdW58wCo887bmNka7zJmZVHt2WewcHcjYftP5CQmKR2nzKQY\nF3otYdsOivPz8enXBxO1Wuk4lUJtb0etUa/KcHUD1rNnT0aOHAlAYmKiXhTbj6JSqUqHEcat36hw\nGiGEEIbo3vVors6dj4m5OfXfn4y5s5PSkR6gUqnw6deHBtOmYGJuTuT8hVz/bgnFhYVKR3ss17/9\nnryUVHye74d9g/pKx1Gcibk5NUJD0BQWErPccJY6k2Jc6K3Ce/dI/Oln1I6OuHfppHScSuXyVCvc\nOgRxLzKS+K3blI4jymnw4MGMHz+eKVOmPPDcBx98wAsvvMCXX36JRqNRIN2DHJo0xq5eXW4dP8G9\n69eVjiOEEMKA5GdkcOmTzyjOzaXOO2Ow9fdXOtK/cmrRnKZzZmNd3ZfEHTu5OONjCu7cUTpWmaTs\nP0DqbwewrVMb30EDlI6jN1zbtcGuXl3SjxzjTsQFpeOUiZnSAYR4mIQdOynKycF30AC9GuJUWfxG\nDuf2uXPcXL0W55ZPYF3dV+lI4jGtXbuWS5cuMWHCBLZt21Z6L9eYMWNo3749Dg4OjB49ml27dtGj\nR49Hbi88PFzXkSkKbA6Xr3D+2+8wr+R1SiujfUoy5vYZc9vA+NsnREUV5eVx6dPZ5KelUSPkRVxa\nP6V0pDKx8vKi8exZRH21gPQjxzg7fiL1Jr+n1xcScpOTuf7td5hYWlLn3bGYmEk59yeVSoXfKy9z\nbsIkopcuo+mXs/V+FSb59IReKszOIXHHT5jZ2eLZo5vScRShtrOj1qjXufzpZ0R+tZAmsz81+gns\njEVERAQuLi54eXlRv359ioqKuHXrFi4uLgD06dOn9LVBQUFcvXq1TMV4YGCgzjL/SdOiBedOhHPv\n8lXqubhgU7OmzvcJJcVOZbRPKcbcPmNuG1SN9glRERqNhqiF33DvaiRuwR3w7t9X6UiPxczairrv\njSdu42Zurl7L+YlTCXjrDdyC2isd7QEly5jNpyg7m9pvv4mVV9Vaxqws7OrUxi04iNT9B0jZtx+P\nzvo9ula/LxWIKivpl10UZt6j2rO9MbWyUjqOYlxatcQtOIh7kVHEb/lR6TiijE6ePMnSpUsBSEtL\nIzs7GyenkvvmMjMzeeWVV8jPzwfgxIkT1K5dW7Gsf6dSqf4ys7rcOy6EEOLfxa3fSNqB37GrV5eA\nN0cZ5IzeKhMTfAc+T/0pE1GZmXF1zjxuLFuhd/P2xG7YROblK7i2a4tbx2Cl4+itGiFDMTE3J2bl\nfynKyVE6zr+SYlzonaK8PBK2bsPU2hqvnk8rHUdxfiOGo3Zy5OaadWTF3FQ6jiiDwYMHc+vWLYYM\nGcKrr77K9OnT2bp1K3v27MHOzo6goCAGDRrE4MGDcXZ2pnv37kpHvo9ji+bYBtQi/fAROeaEEEI8\nVNqhw9xcvRYLdzfqTZ5o8JPtOj/ZkiZfzMLKuxrxW37k4kefUJCZqXQsAO5evkLsug1YuLlSa9Rr\nBnnRo7JYuLrg3fc5CjJuE7d5q9Jx/pUU40LvJO8Jo+DOHbx69qjyyzRAyXD1gDdeR1NYSNRXMru6\nIbC0tGTOnDmsXr2azZs306lTJ/r160fXrl0BGDZsGFu2bGHt2rVMnz4dEz27n0lmVhdCCPEomZFR\nRM5bgImlJfWnTsbc0UHpSFph7eNDky8+w6llILfPnOXc+Ilk3YhRNFNhdnbpMma13xkj34/LwLtf\nH8ydnUnYuo281FSl4zyUfn0DFFVecUEB8Zu3YmJhQbVnn1E6jt5wfrIlbsEduBd1Te+v8Anj4PRE\nIDa1/Ek7dJjsm7FKxxFCCKFH8tLTS2ZOLyig7vh3sKlZQ+lIWmVmY0P9KZPwGfg8uUnJnJs4hbTD\nRxTLc/3b78lLTsGnf18cGjZULIchMbW0pEbIEIrz87mx4r9Kx3koKcaFXknZ9xv56el49uiG2sE4\nrrBqi//I4aidnIhdu16GDgudU6lUJculaDTEbtikdBwhhBB6oigvj0uffEZBRgY1XwrFueUTSkfS\nCZWJCTVefIF6kyYAcGX2l8SsWo2muLhSc6QeOEjq/t+wrV27dNSaKBu34A7Y1KpF2oGDZF65qnSc\nfyTFuNAbmqIi4jdtRqVWU+25Z5WOo3fMbG0JeHMUmsJCIucvpLiwUOlIwsg5P9kSG7+apP1+iOy4\neKXjCCGEUJimuJjI//uKrGvXce/SmWrP9VY6ks65tH6KJp/PwtLTk7gNm7j0yWcUZmVVyr5zk1O4\ntug/JcuYjXtbljF7TCoTE/xeeQmA6CU/oNFoFM3zTxQpxguz9XtWO6GM1IO/k5uUjEeXzli4OCsd\nRy85PxGIe6dgsq5dI16GqwsdK+0dLy4mTnrHhRCiyru5Zh3pR45i36ghtV4fWWUmEbOpUZ2mc2bj\n2LwZGSfDOTt+EtlxcTrdp6aoiMh5X1GUnY3/yFew8vLS6f6MlUPDBri0aU3mlaukHfxd6TgPUKQY\nv/TxJxTl5iqxa6GnNH982VeZmuLd7zml4+g1v1eGY+7sTOy6DYpPKCKMn3OrJ7GuUZ3UAwfJSUhQ\nOo4QQgiFpOw/QNz6jVh6elJv4gSDnzn9cZnZ2tJg2hS8+/UhNyGBc+Mncev4CZ3tL27jZu5evIRL\n29a4d+6os/1UBTWHDUVlZsaN5asoystTOs59FCnG7168xKWZs/TulyGUk37kGDlx8bgFd8DS3V3p\nOHrNzNaGWqNLZleP/EqGqwvdUpmY/KV3fLPScYQQRu7zzz9n0KBB9O/fn927d9/3XKdOnRgyZAgh\nISGEhISQnJysUMqq5+7lK0Qt/AZTG2vqvz8Ztb2d0pEUoTI1peawEOqMewdNURGXPvmM2HUbtH4f\neeaVq9xcux5zFxcC3ni9yoxA0BVLT0+qPfsM+WlpJPy4Xek491GkGHd+qhV3zkdw+dPZFOfnKxFB\n6BGNRkPcho1gYoJP/75KxzEIJcPVO5J17Trxm7YoHUcYOZfWT2Hl60PK/t/ISUxSOo4QwkgdPXqU\nyMhI1q1bx/fff8+nn376wGu+++47Vq5cycqVK/Hw8FAgZdWTm5LC5U9noykqou6EcVj7+igdSXFu\nQe1oPPtTLNzduLl6LZdnf6m123BLlzHTaKjz7tuY2dpqZbtVnc+A/qgdHIjbtIW89FtKxymlSDFe\nd/w7pWv3XZ79JcUFBUrEEHoiI/wUWdE3cG3XBivvakrHMRh+r7yMuYszses3knXjhtJxhBFTmZjg\nO/CP3vGN0jsuhNCNli1bMn/+fAAcHBzIycmhqKhI4VRVW2F2DpdmzqLgzh38R7yMU/NmSkfSG7b+\nfjSd8zkOjRtx6+gxzr03iZzExApvN/q7JeQmJZcsY9ZIljHTFjNra6q/OJji3Fxu/neN0nFKKTIl\nn4laTb33xnPp09lknAznyhdzqfveOJkhsArSaDTErtsAgM/z/RVOY1jMbG0IGD2Kix99QuT8hTT5\n4jP5PyR0xrVta2LXrSd13358Bz6PpYfcTiKE0C5TU1Osra0B2LBhA0FBQZiamt73mg8++ID4+HgC\nAwMZN25cmYbvhoeH6ySvvtBV+zTFxRSs30RxzE1Mn2hBvIc7CZX8uzSEz07zbC9Mra3IOXaCU2PH\no+73HKYBtcr03r+3r+jCRQr27kdVzYvUurVJM4D2/xt9+/w0zk6o3N1ICdvLbf+amHh5Kh1Je8V4\nbm4uvXr1YvTo0fTr1++RrzcxN6fe5Pe4NHMWt44d5+rcedQd9w6qv510hXG7c+48965G4vxUK2xq\nVFc6jsFxCmyBe5dOpPy6l7iNm6ku608KHVGZmuIz4Hki/28+cZs2E/DG60pHEkIYqV9//ZWNGzey\ndOnS+x4fM2YM7du3x8HBgdGjR7Nr1y569OjxyO0FBgbqKqriwsPDdda+G8tWEH81EoemTWgweWKl\nX/DXZdu07sknSdm7j6hvvqVgzXqqhbyId78+/3qx6O/ty01J4cyceZhYWNBs2hSsqhn2aFF9/fxu\nq8258MFHWB45RqOZH5b7fnxtXWjQ2jD1RYsW4ejo+FjvMbWwoP7USdg3qE/6oSNEzl+IRoYjVSmx\n6zcC4DtAesXLy2/4S5i7uBC3fiNZ0TeUjiN0aH3EdvIKlZtnw619WyyreZESto+81FTFcgghjNfB\ngwdZvHgx3333HXZ2908S1qdPH1xcXDAzMyMoKIirV68qlNL4Jf+6l/gtP2JZrRr1ZPRqmbh36kjj\nWTMxd3YiZsUqrnwxt8yrR2mKioj8v68oysrGf+Rwgy/E9Zljs6Y4tXyCuxEXuHX0uNJxtFOMX7t2\njaioKIKDgx/7vaaWltSfNhW7unVJ/e0AUQsXaX1GQqGf7l66zN2ICzi2aI5tGYfziAeZ2dgQ8Oao\nkhP5fJld3ZhtvLCTd3/+kONxZ9BoNJW+f5WpKb4DnkdTWEicTBwohNCyzMxMPv/8c7799tsHOngy\nMzN55ZVXyP9j4t8TJ05Qu3ZtJWIavTsXLnBt0bd/LOU1WSYQewx2tQNoOveLPzoaD3Nu4hRyyzDr\nf9ymLSXLmLV+CvcunSshadXm9/IwVKam3Fi2XPG5y7RymWv27NlMmzaNrVu3lun1/9Str3muF6pV\nd0nZu4/02xmY9XraYKfx17f7I7RNW+3LX70OgOwmjfTqd6ZPWR6HafOmZJ0+y4mvFmLWof0/vsZQ\n2yZKPFuvGz9dDePLQ9/S1LM+LzcfSDX7yr3fya1De2LXbSB5Txg+z/fHwtWlUvcvhDBeO3fuJCMj\ng7Fjx5Y+1qpVK+rWrUvXrl0JCgpi0KBBWFhY0KBBA7p3765gWuOUk5jE5VlfgEZD3YnjpYe2HMwd\nHWn40QdEL/mBpJ93cXbce9SdMA7Hpk3+8fWZVyO5uWYd5i7O1Boty5hVBivvanj27EHi9p9I3LET\n777PKZalwsX41q1badasGb6+vmV+z8PuHyhs2pSI92eQdeoM7l5e+I18xeAOSH29P0JbtNW+e1HX\nOBt1DftGDWnct48WkmmHIX9+hfXqcfqtdyj4/TAN+zyHrb/ffc8bctvKoipcaBjatC8d/Vrzw6n1\nnE26xLhdM+lVpzPPN3gaS7VlpWQouXe8P1ELviZ+8xb8Xx1RKfsVorIVZmWRfuQYhRcukOvjg6Us\no6VzgwYNYtCgQQ99ftiwYQwbNqwSE1UthVlZXJo5i8LMTGqNfh3HJo2VjmSwTNRqar3+Kjb+flz/\n9nsuzPgYv5eH4dW71321TWF2DlfnlCxjVnvsGNR2VXP9diX4DhpA6r7fiF2/EfdOwagdHBTJUeFh\n6vv37ycsLIyBAweyYcMGvvnmGw4fPlyubZnZ2tLwo+lY16hO4k8/c+OH5YoMxRS6F7thEwC+A59X\nOInxuH+4+gLFh90I3fC292Rqh7cY3/Y1nC0d2HZ5N2//PINDN09U2vnSLTgICw93knb/qldrdQpR\nUcX5+aQfOcrlz77g+LBXiFrwNYV79xP+6htc+OAj0g4dlnOrMEqaoiKufDGXnLg4vHo/g2e3rkpH\nMgqe3brSaOaHqB3siV7yA5HzFlCUl1f6fPT3S8lNSsK773Ny8aOSqe3s8H1hEEXZ2dxcs06xHBXu\nGZ83b17pzwsWLMDb25s2bdqUe3tqe3safjSDiKnTSPhxOyZqNdWHDjG4HnLxcFkxN7l19Bi2dWrj\nICcerXJq0RyPrl1I3vMrcRs2UX3IYKUjCR1QqVQ86dOMpp4N+PHyLn68tJv5R5ayJ+ogw1sMorqj\nt073b2Jmhs/z/bn29SLit2zFf8Rwne5PCF3SFBVx53wEqQd+J/3IUYqyswGw8vHBrUN7EjLvYh11\nndtnznL7zFnUDva4d+qIR9cuWHnLEF5hHKKXLuP26TM4BTbH7+VQpeMYFfv69Wg65wsuf/Y5qft/\nIzs2jvqT36Po4iVSwvZiU6uWfF9TiGePbiT9/AtJu/bg+XQPRVZ20tps6tpk7uhAo48/xLKaF3Eb\nN5euQy2MQ9zG//WKy0UW7as5fBjmrq7EbdzMvevXlY4jdMjCzJyBjXoz9+npPFGtCRdTI3lv96cs\nO7WerPxsne7bvWMHLNxcSd61h/xbGTrdlxDaptFoyLwayfXvl3LilVe58MFHpITtxdTaGu9+fWg2\nbw7NF87Dd+DzmDVrSuNZM2m+YB7Vnn0GTXEx8Vt+5NQbb3F+6nRSfztIcb5yqxwIUVGJP+8iccdO\nrHx9qDP+XVlmWAcsXJxp/OnHuHfpRNa1a5wdN4GCHT9jYmFBnXffxkStVjpilWRiZkbNl4dBcTE3\nli5TZES2VtcpeOutt7S2LXNnJxp9/CERU6cRu2bdHz0xj16/XOi3nIQE0n4/jI1fTZyeMN77l5Vk\nZm1N7bdKhlRGzl9I0y9ny0neyHnYuvFe+1GcSohg2en17Izcx6GbJ3mxaV+CarbCRKX9664manVJ\n7/iib4nf+iN+w1/S+j6E0LbsuDhSfztI2oHfyU1KAsDMzhaP7t1w69AO+/r1UZn88/8X6+q++L3y\nMjVCXiT96DGSd//KnfMR3I24gJmdLW7BwXh264J19bLPoSOE0m6fPcf1/3yPmb09DaZNwczaWulI\nRstErSbgzTew9fcneskPUFSE3+hRWPvodjSb+HdOgS1wbNaU22fOkhF+CudKrk/0etFAC1cXGn48\ng4gp04hZ+V9UZmZ493lW6ViiAuI2bYHiYnwGSK+4Ljk2a4pH964k79pD7PqN1HjxBaUjiUrQoloj\nGnvUZceVMDZf/Jlvjq9gz7WDvNJiEP7ONbS+P/fOHYldv5Gkn3fh3a8P5n9bikgIfZCXlk7a74dI\n/e0AWdejATCxsMA1qB1uQe1xbNb0sS5Ympib4xbUHreg9uQkJJC8J4yUsH0kbt9B4vYd2NWri2f3\nrri0bYOphYWumiVEheXEJ3B59peoTEyoP/k9maSwEqhUKrx6PY1t7QAuHvwdj66yjJnSVCoVNYe/\nxJmx47jxw/KSvwlmlVci63UxDmDp7k7DP3rIb/ywHJWZGdWe6al0LFEOuSkppO77DSsfH1xat1I6\njtGr+VIot0+dJm7jZlyekt93VaE2VdO3QQ/a13ySlWc2cyQ2nMl7ZtO5VjteaPwsdhbaWy+2pHe8\nH9e//Y6Erduo+ZLcZyj0Q0FmJulHjpL620HuXrgIGg0qU1OcngjELag9zk8+gamVVYX3Y1WtGjWH\nhVB9yGBuHT9J8u493D57jszLV7j+/VLcOgTh2a0rNn41K7wvIbSpIDOTizM/pSgri9pvv4l9g/pK\nR6pS7OrUxizzrnRM6QmbGtXx7NaFpF92k7xrN169Kq/W1PtiHMDKy5NGH3/I+anTiP5uCSZmZnj2\n6KZ0LPGY4jf/iKaoCJ8B/R46DFBoj5m1NQFv/jlcfQGaF2VykKrE1dqZd9qMoGtyO5aeWs+v1w5y\nNPYUgxs/Sxf/dpho6f+gR5dOxG3YROLOX/Du+5xiS4MIUZSXx63jJ0k7cJCMU6fRFBYCYN+gPq5B\n7XBt2wa1vb1O9m2iVuPatjWubVuTm5xM8p4wkn/dS9LOX0ja+Qu2tQPw6NYVt/ZttXIRQIiKKC4s\n5Mrnc8hNSMS7Xx/cO3VUOpIQiqs+ZDCpB37n5pp1uHUIwsxWe50X/8ZgKiIr72o0+mgGagd7ri36\nluRf9yodSTyGvPRbJP8ahqWnB27t2ykdp8ooGa7ejeyYmxQe+F3pOEIBjTzq8Xn3qYQ2609RcRHf\nh69h8p7PuJqmncn9TMzN8e7fl+K8POJ/3K6VbQpRVsWFhWScOs3V/5vP8dDhXP1yLreOn8DKx5sa\noUMJ/G4RjWfNxOvpHjorxP/O0sODGkOH0HLJt9SbMhGnJwK5d+06175exPGXRhD1zWIyI6Nk6Vah\nCI1Gw/X/LOHOufM4t2pJjZAXlY4khF5QOzjgM6A/hZn3uLm28iYPN4ie8T9ZV/el4UcfEPH+B0Qt\n/AaVmSnuwR2UjiXKIOHHbWgKCvDu31dm6axkNV8K5fbp0+QdOkKc/xaqPfuMTOimYzk5OUyaNIn0\n9HTy8vJ444036Njxfz0Phw8fZu7cuZiamhIUFMTo0aN1msfMxJRn6nahbfWW/PfsFg7EHOP9sC/o\nUPMpXmzaF0fLihUpHl07E7dxE4k//Yx3n+dQ29tpKbnQdylZ6Vy+F411qj1u1i44WTlgaqLbc7xG\noxupzDEAACAASURBVCHz8hVSDxwk/dBhCu7cBcDC3R23Z3riGtRekeVp/k5laopLqydxafUkealp\nJIftLekx37WH5F17sPHzw6N7F9yC2mNmY6N0XFFFJO7YSfKu3dj41aTOO2/LSEUh/qJa714k79pN\n0s6f8Xq6e6UsX2lQxTiATc2aNPzwAyKmzSBy/kJMzMxwbddW6VjiXxTcvUvSL7sxd3HBvWOw0nGq\nHDNrK+q8O5bzH80kZsUqkn/di/+rr+DUvJnS0YzWvn37aNSoESNHjiQ+Pp7hw4ffV4zPnDmTJUuW\n4OHhwdChQ+nevTsBAQE6z+Vk5cCbT71El1rtWHJqHb/dOMrx+DMMbPgM3WsHY1bOIsrUwgKffn2J\nXvIDCdu2U2PoEC0nF/pCo9EQfzeJY3GnOR53hujbsQD8mBQGgInKBBcrR1xtXHCzdsbVxhk3a2fc\nbFxwtXHG1doZc9PyXQzMirlJ2oGDpB74nbyUFADUDvZ49Xoa16D22NWto7f3X1q4uVJ98EB8B/Tn\n9pmzJO3aw60TJ7m++Dtu/LAC13Zt8ejWRa/bIAxfRvgpopcuQ+3oSP2pk+SWCSH+xkStpsawEK7M\n/pIby1ZQf+okne/T4IpxANta/jScMY0L0z/kypx5qEzNZEIwPZawbQfFeXl4hw6VHlmF2Nevh8Xo\n13G+eJnEn3dxccbHuLRuRc3hL2Hp7q50PKPTs+f/Jv5ITEzE4y8z1MbGxuLg4ICXlxcAHTp04MiR\nI5VSjP+pnlsAs7tOZs+1g6w9/yPLz2xkb/RhhrcYREP3OuXapkf3rsRt2kLijp1Ue643ajvpHTcW\nGo2Ga7diOB5/hmNxp0nMLCmETVUmNPVsgFOBDY7uzqRmpZOWdYvU7FtcTo3iEv88DNvB0r60UHe1\n/rNYd8bV2gU3G2dszP+3tFJuSgppB34n9cBBsmNuAmBiaYlbcAfcOrTHoUnjSp31tqJUpqY4BbbA\nKbAF+bcySNm7j6Tde0gJ20tK2F6sq/uW3FseHCT/h4RWZd+8yZUv5qIyNaX+lIlYuLkpHUkIveTS\n+insGzbg1vET3D57DsemTXS6P8P5C/Y3dnVq0+CD97kw42OufDmXepMm4NzyCaVjib8pvJdF4k8/\no3ZwkOUbFKayssL/1RF4dO3C9f98T/qRY2SEn8bn+X54/z97dx4eVX3vcfw9S2Ym+57JvoesJEAI\noEDYV1EBF9yq1tp6W3tbbqnWqlVbbW0petvbe1vrQlGrLYKKiijIJvsWSCAkJJA9k30jeyYzmfvH\nhIEoKEvCZPm+nidPJjPnnPkeEmbmc37bkltRajT2LnHYueuuu6iqquKVV16x3VdbW4uXl5ftZy8v\nL8rKyi7reBkZGf1anw8uPBS8lF31R8g6m8evd/w38S6RTPeZiJv6yrvNWtJSMX+xjYxXX8dhevoV\n79/f5zfYDKXz67H0UN5RRX5bMfltJbSY2gBwUKgZ5RzOKJdwopxC0Kl6l+7qhlhNCGgATzBbzLSY\n2jjb3UqzqZWzplaaL7hd2FDKmYbiiz63m1FJYnkPUUXteFe3AmBRKumODkOVlIgmLoEWjYYWSw9k\nZV2Hf40B/N1FhMEPvodDUTHmo5m0n8qj6PXVFP3jTZQJcajHjUURGiKt5eKadDc3k/PCi5g7Ohi1\nYjmusVd30VWIkUChUBDxve+SteJxilavYczLfxzQIbZDNoyDtbUv4ZknyXnuBU79/o/EP/UEnuPG\n2rsscYHKTZ9hbm8n+IHvyHqrg4RzRDhJv3ue2i93UbzmLUrf/Tc123cQ8fBDckGrn/373/8mNzeX\nxx57jI8//hiFQnHRSZsu94N2ampqf5cIwFSmcKa+mNVH15LbUEhhp4HbEhZw06iZOFxBl2JzYiIZ\nhw7Tk3GUlEd+gNrl8gN9RkbGgJ3fYDAUzs9o7ia7+hQHyzM5YsiixWgN4M4OjqSHTWRC8BhS/BPQ\nqvteuLuac+ux9NDU2dzbkl5PbUM1xmMn0WUV4FlSg7IHLECZ3oG8MB1nQrV0aTqAIziUZ+JzQRf4\nc13ifZ2tt70cPa56yMXFXJff3fjxcMftGJvOUrtjJ1VbttJ54iTGEydxDApEP2c2fjOnD8hqBUPp\nIpG4cj3d3Zx6cSVd1TUE33k7vulT7V2SEIOeS1QkfjOmU7N9B9XbtuM/d86APdeQDuMA7omJxD/9\nS3JfeJFTL64k/ldP4pE82t5lCcDc0UHFx5+gdnHBf/48e5cjLqBQKPCbPg2vCWmU/fs9Kj75lNwX\nXsRzfCoRDz+EY4C/vUsc0rKzs/H29iYgIID4+HjMZjMNDQ14e3uj1+upq6uzbVtdXY3vIOguGO0d\nzguzH2Nn0QHeOf4h7x7fwI6ifXx37DLGBCRc1jFUOh2Bi2+l5M23qdj4KaF33TnAVYtr1dHdybHK\nkxwqP8bRymw6TV0AeOjcmBM1lYnBY0nwG9Wv4RasY8s91M5QeBrLrt0oDx6mx2gEwDkqEt/0qThN\nHEuQDiLb6qlrb6C2N7jXtzVS215PZXXNRY+tUCjwcvT4elDv7Qbv4+T1tQsKg4XGw52gJbcSuPgW\nmk/mUL1lK3X79lO85i1K/vkuXhMn4D9vDu6jk2TiLfGtLBYLBX97leacXLwn30Do3cvsXZIQQ0bo\nffdQt28/pf/8Fz5TJqN2cvr2na7CkA/jAB4pycT98nFyf/t7cl94kYRnn8Y98fI+PIqBU7X5C0wt\nrYTcvQy1k0wSMhipnZyIeOhB9LNnUvjqGzQeyaApM4ugpYsJvn2p9Ga4SkeOHMFgMPDUU09RV1dH\ne3s7np6eAAQHB9Pa2kp5eTn+/v7s2LGDVatW2bliK6VCyczIG5kQnMJ72RvZfOZLfrfrL6QFpfDA\nmNvxc/H51mMELJiH4YMNVHy8kcCbb5JZogeh5q5WMgzHOWjI5ERVLt091vW49c4+zI6aysTgMcR4\nR6BU9H/Ys/T00JybS+2Xe6jftw9Ti7Ubui7AH9/0qfikT8EpONi2vScQ4Rly0WN1mYy2kF7XXt8b\n1huoa6untr2BvPpCTtUVXHRfN63LBa3r50O6b294d9Y42bVruEKhwD0pEfekRCK+/xC1O7+kestW\n6vfuo37vPnT+emtr+awZaHpfW4T4KsOHH1GzbTsu0VHE/PQ/5QKOEFdA6+1F8G1LKH3nX5Sv/4Dw\n++8bkOcZFmEcwHPcWOJ+8XNO/f6P5PzmtyT++hnc4mLtXdaIZe7qwrDhI1SOjgQuWvjtOwi7cgoN\nJfH556jfu4+i1Wsof289tTt2EvG97+I1aaKMV7xCd911F0899RT33HMPnZ2dPPPMM2zYsAFXV1fm\nzJnDc889x4oVKwDrZG8RERF2rrgvF40zD41bxsyIyfzj2FoOG7LIrMphcdxcbo2bi+YbWhVVjo4E\nLb6FkrffofLTzwi58/brWLm4lPr2Rg4bsjhYfoyc2tO24RKh7kFMCE5hQtBYwjyCBuT/usVioa2o\n2DYTurG+HgAHTw8Cbl6E77SpuERHXfFza9Uagtz8CXK7eE8eU4+Zho4mazj/SlCva2ug7GwFhY2l\nF91Xp9baWtZV7aCo0JLgF4NOff0vUDq4uhJ48yICFt1Ey6k8a2v5nr2UvP0Ope/+G8+08fjPnY3H\nmBRZOlTY1B88TMlb/0Tj5UXck0/IxXUhrkLgrTdTtfkLKj7eiP+8OegumJC3vwybMA7gNSGN2Md+\nxqmVL5Hz6xdI/M2zuMZcvxmKxXk1W7fT3dhE8O1LUbu42LsccRkUCgU+UybjmTqO8vUfYNjwMad+\n/0c8xqQQ8f3v4RQcZO8ShwydTsdLL710ycfT0tJYu3btdazo6oR7BvPcjJ+xt/Qwb2d+wLqTn7Kz\n+AAPjr2D8YHJlwxP/gvnY/jwIyo+/oSARTdJzxg7qWip5lB5JofKM/tMlhbjHcGEoDFMCB5DgOvA\nrabQUVlF3e491H65m47ycgBUTk74zZ6Jb/pU3JMSB3ZSHKUKP2dv/Jy9L/p4j6WH5s4Wai/aum7t\nEl/WXAnAkd3ZqJVq4nyiSPFPIMU/nlCPoAHpPXApCoUCt/g43OLjiHj4u9R+uZvqLVtpOHCQhgMH\n0fr64Dd7FvrZs9D6XPycxcjQVlRM/st/QungQPxTT6D19vr2nYQQX6PSagm//z7yX/4TxW++Tdzj\nP+/35xhWYRys09GP+tly8l/+Eyef/Q1JL/wal8jB1eo03PV0d1P+wQaUGg2BtyyydzniCqkcHQn7\nzr34zZxB4Wtv0HQsk8yf/ozAWxYRfMftEqxGGIVCwZSwCaQGJrP+5Kdsyt/OH/e8whj/BB4cdyeB\nrl+/Sqx2ciLw1pspfedfVG36jODbl9qh8pHHYrFQ3FTOwfJjHC7PtAVJpULJaH0sE4LGkhaUgpeT\nx4DVYGxqom73Xmp37aY1/zQACgcHvG+YhO+0qXimjhs0KzcoFUo8HN3xcHQnxvvinxPajO1sPriN\nTnczWZU5ZNfkkV2TxzvHP8Rd50ayPo4U/wSS9XF4OPb/5GqXonZ2JmDhfPwXzKP1TAHVW76gdtce\nyv61lrK16/BMHYt+zhy8xo+T1vIRxtjYSM4LL9LT2Uns4z/HJTrK3iUJMaT5pE+hYuOn1O/dT3NO\nLm4J8f16/GEXxgF8p07GYurm9J//l5PP/Jqk3/4G57BQe5c1YtTu/BJjXR0BNy8akJlfxfXhGBRI\nwrNP03DoMEWv/wPDBxuo3bmL8O8+gM/UydJ1fYRxdNDxnTG3MSPyRv5x9D0yq3JY8fnz3Bw7m6Xx\n89E56PpsH3DTAgwbPsaw4WMCblqAylEu4gyEnp4e8usLOVieySFDJrVtvV3AlWrGByYzIXgMqYGj\ncdUOXA8lS1cXNdt3UPvlbpqOn4CeHlAq8RiTgk/6FLwnTRyycwc4a5wIcwokNTmVe5IXc7azmRPV\np8isyuF4VS67Sw6xu+QQAGEewaT4x5Pin0CsTxSaK1iJ4GopFApcY6JxjYkm/LsPUrdnL9VbvqDx\ncAaNhzPQeHnhN3sm+tmz0OkHrheEGBx6jEZOvbgSY10doffejc/kG+xdkhBD3rmlzk784kmK3vgH\nyX/8fb/OvzAswziA34zpWMxmzvzlr5z81XMk/e43fSaFEQPDYjZT/v6HKNRqgpbcYu9yxDVSKBR4\nT5yAx5gUDB9soPz9D8l/6b+p2ryFyB88LBe5RqBgtwCenvYTDpYf483M9WzI3cyu4oPcP+Y2bghJ\ntV2kUTs7E3jLIsr+tZbKzzYTvHSxnSsfPkxmE9k1+RwqP8bhiuOc7WwGwFGtY3LoeCYGj2WMf8LX\nLpBcC3NXF101tXRWV9NZZf3qqun9Xm7gtNkMgMuoGOtEbFNuHJYTi7nr3JgSNoEpYROwWCyUnjWQ\nVZXL8apccmtPU9JUzsenvkCjciDRbxTJems4D3LzH/ALmGonR/znzsZ/7mxaC4uo3rKV2i93Uf7e\nesrXvY/HmBT0c2fjNSENpXrYfvwbsSwWC6f/8lda8vLxnZZO8B232bskIYYNt7hYfNKnULdrD7Vf\n7sJvxvR+O/awfjXWz55FT7eJwldeJfvp5xj9u9/gGBho77KGtbo9++isrMJ//ly03jJmbbhQabWE\n3r0MvxnTKHpjDQ2HDpO5fAUBNy0k9O47h2yrl7g6CoWCSSHjGBuQxIe5n/PxqS/40/43+KJgN98d\neyehHtb5BQIXLaTio0+o2PARAQvno9L1XzgcaTpNXWRV5XCwPJOjFSdo7+4ArLOCz4yczMTgMST5\nxV7RuvAXsvT0YGxstIbr6przobv3e3dj40X3U+p0KPx8CZkxHZ/0KTgGBFz1OQ41CoWCMI9gwjyC\nuSVuDl0mI7m1Z8iqyuF4VQ7HKk9yrPIkAN6OniT3tpqP1scOaE8FAJfICFz+4/uEf/d+6vfuo2rz\nFzQdy6TpWCYOHh74zZyOfu7sEfX7Gu7K171P3a7duMaOIvrHP5Tea0L0s/D776PhwCFK3n4H7xsm\n9dtxh3UYB+syOxaTiaLXV1sD+YvPD8hMeML6Ya5s3XpQKglausTe5YgBoPP3J/6pJ2g4kkHRa6up\n/GQjdbv3EP7Ad/Cdni7LpowwWrWGu0bfwvTwSazJXM/RihM8vuV3LIiZwR2JN+Hk4kLAooWUv7ee\nqs1bCLpVestciVZjG0crsjlYfoysqhyM5m4AvJ08mR4+iQnBY4nziUJ5mf/vTO0dttbscyHbFryr\na7B0d399J6USrY8P7smj0fr5ofPXo9Pre7/7oXZz4+jRo4SkpvbnqQ9JWrWGMQEJjAmwLq3a0N5E\nVlUOWdW5nKjKZUfRPnYU7UOBgkivUNtEcDHekf2+jvs5Kq0Wv5kz8Js5g/bSUqq2bKN2x04MH2zA\n8MEG3JNHw+KbB+S5xfVTt3c/pe/8C62vD3FP/mLQzMsgxHCi9fUl8NabKV/3PoYPP4JR/TNJ+LAP\n4wCBN9+ExWSieM1bZD/9LKN/9zxaX197lzXsNBw8REdZOX4zZ8jYtGHOa3wqHsmjMXz0CeXvref0\nn/9i7br+yMO4REbauzxxnfm7+vHE1B+RUXGCNcfW8Wn+NvaUHua+5CVMunkhlZ98iuGDj/CfP0+W\n1/kWjR1nOWzI4lB5Jidr8jBbegAIcvVnQvAYJgaPIcIz9KKtXhazma66ejqrq+nq07JtDdym5uaL\nPqfaxQWn0FB0/n4XBG09Wr0era+PdGm+Sl5OHsyIvJEZkTfS09NDUVOZNZxX5ZJfV0BBQwkf5HyG\no1pHoj6WFH08Kf7x+A/QDPdOoaFEPvxdwu+/l/r9B6na8gVnj59AJ2F8SOupqOT0W++g1OmIf/qX\naDwGboJGIUa64NuWUL11G4YPNqB5on9mVh8x77BBS26lp7ub0nf+RfbTz5L0u+elG3U/slgslL23\nHhQKgm6TVvGRQKnREHLHbfhNT6do9ZvU79tP1opf4D9vDqH33o2Dq6u9SxTXWWrgaEbr49iYt5UP\ncj7j/w69yVbvSG6fNYXWjV9QveULAm+WFRa+qrq1lkPlWRwqP0Z+fREWrGuAR3mGkRacwoTgMQS7\nWbsTm1pbaSso7NONvKu6xtrKXVuLpXfs9oUUajVaP19coiLR+evPt3D769H56VG7yDCTgaZUKony\nCiPKK4ylCQvo6O7kZE0eWVW5ZFXlcMSQxRFDFgB6Zx9bl/Ykv1icNP07+aFSo8F32lR8p02ls7qa\nk73Lzomhp6u+HuPaddDdTdwvf4FzeLi9SxJiWFM5OhJ23z2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JRPDttw3pq7Ri8HOOCCfp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N7u57Kjmf9fuScLG34ImxPa57jF6vZ+Pp7fwSuwGlzIRXBz5DH3dR4dAQiYmJPPfcczz22GNM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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff6d121f780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "df=teambehaviours('Barcelona')\n",
    "df1=teambehaviours('Real Madrid')\n",
    "df2=teambehaviours('Atletico Madrid')\n",
    "df3=teambehaviours('Valencia')\n",
    "df4=teambehaviours('Sevilla')\n",
    "\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(231)\n",
    "ax2 = fig.add_subplot(232)\n",
    "ax3 = fig.add_subplot(233)\n",
    "ax4 = fig.add_subplot(234)\n",
    "ax5 = fig.add_subplot(235)\n",
    "#plt.title('Ratio of best teams of Liga From 2012 to 2017, respectively: Barcelona,Real Madrid, atletico madrid, Valencia and sevilla')\n",
    "df.plot(kind='line',x='Seasons',y=['RatioE','RatioM','RatioME'],ax=ax1,figsize=(17,10))\n",
    "df1.plot(kind='line',x='Seasons',y=['RatioE','RatioM','RatioME'],ax=ax2)\n",
    "df2.plot(kind='line',x='Seasons',y=['RatioE','RatioM','RatioME'],ax=ax3)\n",
    "df3.plot(kind='line',x='Seasons',y=['RatioE','RatioM','RatioME'],ax=ax4)\n",
    "df4.plot(kind='line',x='Seasons',y=['RatioE','RatioM','RatioME'],ax=ax5)\n",
    "plt.savefig('ratiobestperseason.jpg', format='jpg', dpi=1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BMatch</th>\n",
       "      <th>GoalsHome</th>\n",
       "      <th>GoalsOutside</th>\n",
       "      <th>GoalsReceive</th>\n",
       "      <th>RatioE</th>\n",
       "      <th>RatioM</th>\n",
       "      <th>RatioME</th>\n",
       "      <th>Seasons</th>\n",
       "      <th>TotalGoals</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>35.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.74</td>\n",
       "      <td>3.11</td>\n",
       "      <td>4.19</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.03</td>\n",
       "      <td>2.88</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>115.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>38.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.87</td>\n",
       "      <td>2.63</td>\n",
       "      <td>3.03</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>34.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.53</td>\n",
       "      <td>3.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>37.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.78</td>\n",
       "      <td>2.95</td>\n",
       "      <td>3.76</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.89</td>\n",
       "      <td>2.68</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   BMatch  GoalsHome  GoalsOutside  GoalsReceive  RatioE  RatioM  RatioME  Seasons  TotalGoals\n",
       "0    35.0       72.0          37.0          26.0    0.74    3.11     4.19   2012.0       109.0\n",
       "1    38.0       63.0          52.0          40.0    1.05    3.03     2.88   2013.0       115.0\n",
       "2    38.0       64.0          36.0          33.0    0.87    2.63     3.03   2014.0       100.0\n",
       "3    34.0       59.0          43.0          18.0    0.53    3.00     5.67   2015.0       102.0\n",
       "4    37.0       67.0          42.0          29.0    0.78    2.95     3.76   2016.0       109.0\n",
       "5    19.0       23.0          28.0          17.0    0.89    2.68     3.00   2017.0        51.0"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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es7CwUB9++KHatGmjEydOaPv27Vq3bp3eeecd7dixQ6dOndKqVavUtWtXJSQk\nKDQ0VMnJyVq7dq26deumtWvXaubMmZo/f759zHr16qlhw4Y6cuSIJOmjjz5S7969tWjRIj3++ONa\nu3atHnvsMf3xj3+sglcRwLWG2gkAjjO5dr799tv2MV1ZO5nRBgx16RPAS5555hnl5OTozJkz8vLy\nUkxMjCTpjjvu0LJly1SjRg2dPXtWQ4YMka+vr7KyskqMd9ddd2n06NH65Zdf1Lt3b3Xs2FEnT57U\nd999p2HDhkmSvvnmG40cOVK9evXS+++/r+PHj+vRRx+VJJ07d05paWn66quvNG7cOEnS8OHDJUl/\n+ctf9NNPP2nLli2SpLy8vBLPfd999+kf//iHmjZtqqNHj+q2225TbGysvvvuOy1fvlzFxcUOnf8D\nAOWhdgKA40yunbm5uSWe21W1k0YbMNTNN9+s7du3279fvny5pItLCi3LkmVZki5+Gujl5aVPP/1U\nu3fvVnx8vHx9fdWxY8cS47Vq1UqbN2/Wrl27tGDBAg0YMECdO3e2nysjSWPHjlWLFi0kSb6+vrrn\nnns0e/bsEuOsWrVKFy6U3IzI19dX06ZNK/Gcqamp9q/vvfdePffcc7r55pvVtWtX2Ww2+fr6atGi\nRWrQoMHVvlQAYEftNNOWLVu0cuVK+fj4aNy4cWrVqpUmTpyo4uJiBQUFKS4uTn5+fu6OCVRbJtfO\nX9dNyXW1k6XjgKHuvPNOZWZm6qOPPrIfO3jwoM6dO6fbb79dKSkpkqTPPvtMbdu2VVZWln73u9/J\n19dXH374oYqLi1VQUGB/7LZt23TkyBH16tVL48aN04EDB0o954QJE/Tqq68qLy9Pbdq0UUpKivLy\n8mRZll566SXl5+erbdu22r17t6SLnyhu3LhRHTp00AcffCBJOnr0qNasWVNi3IYNG0qS/va3v6lP\nnz6SVOIxycnJTtsIA8C1jdppnqysLC1btkwJCQl644039MEHH2jx4sWKiopSQkKCmjVrpsTERHfH\nBIzVL2ZziT9lMbl2btu2rcS4rqqdzGgDTlLRSyNcSXkF7rdsNpsmTZqkzZs3a9myZfL19VVAQICW\nL1+uRo0aacqUKfrrX/8qX19fzZ07VwEBAVqxYoWio6PVq1cv3XPPPZo5c6Z9vObNm2vGjBkKCAiQ\nt7e3fdOdX2vSpIl69+6t5cuX6w9/+IMeffRRDR06VN7e3urVq5f8/f312GOPaeLEiRo2bJhq1aql\nV199VZLrDOi3AAAgAElEQVT0wgsvKCoqShcuXNCUKVNKFFtJ6tmzp/785z/bN8MYPXq0YmNjtW3b\nNtlsNs2bN6+SrygAT0btpHZeSXJyskJDQ1W7dm3Vrl1bL774onr06KFZs2ZJksLDw7V69WpFRUW5\nOSngGq6um5LZtXPAgAGlxnZF7aTRBgxWt27dUptLXLJy5cpSx379if+l81jKu/2S9957r8T3f/jD\nH+xfDx06VEOHDi1xe506dezLiX5tyZIlJb5PTU0t8anoyJEjNXLkSPv3DRs21KpVq0qNAwBXi9pp\nlpMnTyo/P19PP/20srOzNWbMGOXl5dmXigcGBpa5kRIA5zK1dl5aOu7q2kmjDQAAAI/2888/a+nS\npTp16pQeffRR2Ww2+22Xzg2tiN+eq+lMVTm2M5SXz9TcV7rNk3l6bl5z56DRBgAAgMcKDAxUx44d\n5ePjo6ZNm6pWrVry9vZWfn6+/P39lZ6eXuENjEJCQqokY2pqapWN7bCEk2UeLiufqbklD8vuAI/K\nzWvutPHLwmZoAAAA8Fhdu3bV7t27deHCBf3000/Kzc1VWFiYkpKSJEk7duxQt27d3JwSAEpiRhsA\nAAAeq2HDhurdu7cGDx4sSZo6daratWunSZMmaf369QoODlZERISbUwJASTTaAAAA8GhDhgzRkCFD\nShz77eXOAMCTsHQcAAAAAAAnotEGAAAAAMCJaLQBAAAAAHAiGm0AAAAAAJyIzdAAwEXOnTunSZMm\n6ezZsyosLNSoUaMUFBSkmTNnSpJuueUWzZo1y70hAQCAQ/rFbC7z+NbX+rs4CTwJjTYAuMjGjRvV\nokULxcTEKD09XY899piCgoIUGxur9u3bKyYmRjt37lT37t3dHRUAAABXgaXjAOAi1113nX7++WdJ\nUnZ2turVq6e0tDS1b99ekhQeHq7k5GR3RgQAAIATMKMNAC7ywAMP6L333tO9996r7OxsLV++XLNn\nz7bfHhgYqIyMjAqNlZqaelVZLvf4qx27qpma3dTckrnZTc19JSZnB4BrBY02ALjI5s2bFRwcrFWr\nVunrr7/W2LFjFRAQYL/dsqwKjxUSElLxJ044WeHHp6amOjZ2VSojt2RudlNzS+ZmNyK3g6oyOw08\nADgPjTYAuMjevXvVtWtXSdKtt96q3Nxc5ebm2m9PT09XgwYN3BUPAAAATsI52gDgIs2aNdO+ffsk\nSWlpaapVq5ZatWqlPXv2SJJ27Nihbt26uTMiAAAAnKBSM9pcogYAHBcZGanY2FhFR0erqKhIM2fO\nVFBQkKZPn64LFy6oQ4cOCgsLc3dMAAAAXKVKNdpcogYAHFerVi0tWrSo1PGEhAQ3pAEAAEBVqdTS\ncS5RAwAAAABA2SrVaD/wwAM6deqU7r33XkVHR2vixIn6r//6L/vtjlyiBgAAAACA6qRSS8edeYka\nZ1xKorwxPP0yFSZf35PX3PVMfc0vx+TsAAAAQHkq1Wg78xI1V3st2PLG8KhrZFaz65JKvOZVytTX\n3EFcCxYA4Kn6xWwu8/jW1/q7OAkAU1Vq6TiXqAEAAAAAoGyVmtHmEjUAAAAAAJStUo02l6gBAAAA\nAKBslVo6DgAAAAAAykajDQAAAACAE1Vq6TgAAADgCikpKRo3bpxuvvlmSVKrVq00cuRITZw4UcXF\nxQoKClJcXJz8/PzcnBQA/g+NNgAAADza7bffrsWLF9u/f+GFFxQVFaW+fftqwYIFSkxMVFRUlBsT\nAkBJLB0HAACAUVJSUtSzZ09JUnh4uJKTk92cCABKYkYbAAAAHu3o0aN6+umndfbsWY0ePVp5eXn2\npeKBgYHKyMhwc0IAKIlGGwAAAB6refPmGj16tPr27asTJ07o0UcfVVFRkf12y7IqPFZqaupVZbnc\n46927KpWXj5Tc1/pNk/Aa+453JGbRhsAAAAeq2HDhrr//vslSU2bNtX111+v06dPKz8/X/7+/kpP\nT1eDBg0qNFZISEjFnjThpEOPT01NrfjYVc2B7KbmlszNbmpuycOyO6Cqc5fXxHOONgAAADzWli1b\ntGrVKklSRkaGMjMz9fDDDyspKUmStGPHDnXr1s2dEQGgFGa0AQBAtTR4/TNlHp/UcqSLk+Bq9OjR\nQ88//7w+/PBDFRYWaubMmWrdurUmTZqk9evXKzg4WBEREe6OiSrC/8cwFY02AAAAPFbt2rX1xhtv\nlDq+Zs0aN6QBgIqpFo12WZ908SkXAAAAAMAdOEcbAAAAAAAnotEGAAAAAMCJaLQBAAAAAHCianGO\nNgDg2sEOtAAAwNMxow0AAAAAgBPRaAMAAAAA4EQsHQcAAACqwOyYrWUen/5aPxcnAeBqzGgDAAAA\nAOBENNoAAAAAADgRS8cBQ5S10zK7LKOy2LkbAACg6jCjDQAAAACAE9FoAwAAAADgRCwdBwDABViu\nDwDAtYMZbQAAAAAAnIgZbQBwoS1btmjlypXy8fHRuHHj1KpVK02cOFHFxcUKCgpSXFyc/Pz83B0T\nAAAAV4FGG5XCDtiA47KysrRs2TK9++67ys3N1ZIlS7R9+3ZFRUWpb9++WrBggRITExUVFeXuqAAA\nALgKLB0HABdJTk5WaGioateurQYNGujFF19USkqKevbsKUkKDw9XcnKym1MCAADgajGj7UZsjANc\nW06ePKn8/Hw9/fTTys7O1pgxY5SXl2dfKh4YGKiMjAw3pwQAAMDVotEGABf6+eeftXTpUp06dUqP\nPvqobDab/TbLsio8TmpqalXEq/Kxq5qp2T099+U+GPb07OUxNbdkdna4D6f9Aa5Fow0ALhIYGKiO\nHTvKx8dHTZs2Va1ateTt7a38/Hz5+/srPT1dDRo0qNBYISEhFX/ihJMO5XRo7KrkYG7J3Oym5pbM\nze4xuR2UmppaZdlp4AHAeSp9jvaWLVv04IMP6uGHH9bOnTt1+vRpDRs2TFFRURo3bpwKCgqcmRMA\njNe1a1ft3r1bFy5c0E8//aTc3FyFhYUpKSlJkrRjxw5169bNzSkBAABwtSo1o83OuQDguIYNG6p3\n794aPHiwJGnq1Klq166dJk2apPXr1ys4OFgRERFuTgkAnik/P18PPPCARo0apdDQUC6NCMCjVarR\n/vXOubVr19aLL76oHj16aNasWZIu7py7evVqGm0A+I0hQ4ZoyJAhJY6tWbPGTWkAwBzLly9XvXr1\nJEmLFy9mggeAR6vU0vFf75wbFRWl5ORkds4FAABAlTh27JiOHj2qe+65R5K4NCIAj1fpzdDYObdq\nmZrd03NfLp+nZy+Pqbkls7MDAFxn/vz5mjZtmjZt2iRJlZ7gudp/d5z1PsKT/v3zpCyO8vTs5eUz\nNfeVbvNk7shdqUabnXMdxC6urldO7vLyVeUurg4z9TV3EDvnAgAqYtOmTbrtttvUpEkT+7HKTvBU\n+N8dJ72P2JZw6upyVIap7yOq4fvlsvKZ8J7TiPfLDqjq3OW976xUo921a1dNnjxZTz75pH7++Wfl\n5uaqa9euSkpKUv/+/dk5Fx7rcteCBQAAnufjjz/WiRMn9PHHH+vMmTPy8/NTzZo1KzXBAwCuUqlG\nm51zAQAA4AoLFy60f71kyRI1atRIn3/+ORM8ADxapc/RZudcAAAAuMOYMWOY4AHg0SrdaAMAAACu\nNGbMGPvXTPAA8GSVurwXAAAAAAAoG402AAAAAABORKMNAAAAAIAT0WgDAAAAAOBENNoAAAAAADgR\njTYAAAAAAE7E5b0AAACAChi8/pkyj09qOdLFSQB4Oma0AQAAAABwIhptAAAAAACciEYbAAAAAAAn\n4hxtD5Q/e652lXH8rs3vujwLAAAAAMAxzGgDAAAAAOBEzGgDcIp+MZvLPL71tf4uTgIAAAC4F402\nAAAAAMAYJkzw0GgDAAC4iQlvFgEAjuMcbQAAAAAAnIgZbQAAAABwssHrnyl1bFLLkW5IAndgRhsA\nAAAAACdiRhsAYJc/e652lXH8rs3vujwLAACAqZjRBgAAAADAiWi0AQAAAABwIpaOAwAAwGPl5eVp\n8uTJyszM1Pnz5/Xss8/q1ltv1cSJE1VcXKygoCDFxcXJz8/P3VEBwI5GGwAAAB7rH//4h9q2basn\nn3xSaWlpeuKJJ9SpUydFRUWpb9++WrBggRITExUVFeXuqNXG7JitZR6f/lo/FyeBO5S1W7rEjumO\nYuk4AAAAPNb999+vJ598UpJ0+vRpNWzYUCkpKerZs6ckKTw8XMnJye6MCAClMKMNAAAqpaxd6tmh\nHlVlyJAhOnPmjN544w09/vjj9qXigYGBysjIcHM6ACiJRhsAAAAe7y9/+YsOHTqkCRMmyGaz2Y9b\nllXhMVJTU6simsNjV2UOR5maW/K8PBVlau7yLgHqPz3W5VnKU95r647XnEYbAAAAHuvAgQMKDAzU\nDTfcoNatW6u4uFg1a9ZUfn6+/P39lZ6ergYNGlRorJCQkIo9acJJh3OWNfa2hFNXl6MyHMxuam6p\nivM4wgmvuVtU4jUvi1t+nnKyl5UlNTW1SjOW18RzjjYAuFh+fr569uyp9957T6dPn9awYcMUFRWl\ncePGqaCgwN3xAMCj7NmzR6tXr5Yk/fjjj8rNzVVYWJiSkpIkSTt27FC3bt3cGREASmFGG1D5S2E4\n1xBVYfny5apXr54kafHixeycCwCXMWTIEE2ZMkVRUVHKz8/X9OnT1bZtW02aNEnr169XcHCwIiIi\n3B0TAEqg0QYAFzp27JiOHj2qe+65R5KUkpKiWbNmSbq4c+7q1atptK8xfNAHXJ6/v79ee+21UsfX\nrFnjhjQAUDE02oDBeINunvnz52vatGnatGmTJCkvL4+dcwEAAKqZq2q08/Pz9cADD2jUqFEKDQ3V\nxIkTVVxcrKCgIMXFxdnfPAIApE2bNum2225TkyZN7Mc8cedcT3i+yjIlZ0WY+rOYktvTc14un6dn\nB1yByQZ4uqtqtDnPEAAq7uOPP9aJEyf08ccf68yZM/Lz86v6nXMlp+wq6kk7il5OddrJ1ZTX/Lfc\n9ndQzXb9LS9fVe6eSwMPAM5T6Uab8wwBwDELFy60f71kyRI1atRIn3/+uZKSktS/f392zq0Cs2O2\nlnl8+mv9XJwEAABcSyp9ea/58+dr8uTJ9u85zxAAHDdmzBht2rRJUVFR+vnnn9k5FwAAoBqo1Iy2\nKecZVrclUGXNzDwQFeyGJOWrbq+5qT+PJ+XmPMOyjRkzxv41O+eiLMzGVx3O7QQAVLVKNdqmnGfo\n6edfOUOV/4zX+GvOOZIO4DxDAAAAQFIlG23OMwQAAADgaVgNBE9R6XO0f4vzDAEAAAAAuMrLe0mc\nZwgAAP4Ps0kAADhxRhsAAAAAADhhRttTsaMoAAAAAMAdmNEGAAAAAMCJqu2MNlyPVQQAAABA+cp7\nv/xhy+Fl3p/9LcxFow0AACA2cgMAOA9LxwEAAAAAcCJmtAEA1UKZy/HKWYoHACh/GTO1E7h6zGgD\nAAAAAOBENNoAAAAAADgRS8dR5dhcBgAAAMC1hBltAAAAAACciEYbAAAAAAAnYuk4AAAAPNorr7yi\n1NRUFRUV6amnnlK7du00ceJEFRcXKygoSHFxcfLz83N3TACwo9EGAACAx9q9e7eOHDmi9evXKysr\nSw899JBCQ0MVFRWlvn37asGCBUpMTFRUVJS7owKAHUvHAQAA4LG6dOmiRYsWSZLq1q2rvLw8paSk\nqGfPnpKk8PBwJScnuzMiAJTCjDYAAAA8lre3twICAiRJGzZs0N13361//etf9qXigYGBysjIqNBY\nqampVZbTkbGrMkdVMjW3ZG52E3J7UsbB658pdWxSy5FuyUijDQAAAI/3wQcfKDExUatXr1bv3r3t\nxy3LqvAYISEhFbtjwklH45U59raEU1eXozIqkb2iTM0tmZvdhNxVmrE8DmavyozlNfE02kA1xLXL\nAQDVySeffKI33nhDK1euVJ06dVSzZk3l5+fL399f6enpatCggbsjAkAJnKMNAAAAj/XLL7/olVde\n0Ztvvql69epJksLCwpSUlCRJ2rFjh7p16+bOiABQCjPaANwif/Zc7Srj+F2b33V5FgCA53r//feV\nlZWl5557zn7s5Zdf1tSpU7V+/XoFBwcrIiLCjQkBoDQabQAAAHisyMhIRUZGljq+Zs0aN6QBgIqh\n0QYAAPAwZe2cK13cPRcAPAl7A5WNc7QBAAAAAHCia25Gm09cAMBx1E4AAICKu+YabQAAAMCZytvg\nUy2HuzgJAE/B0nEAAAAAAJyIRhsAAAAAACei0QYAAAAAwIk4RxsAAAAAcE2p6o1eabQBVKnyrgU7\nzsU5AKA6KGvTrbs2v+uWLACA8tFoA4ALvfLKK0pNTVVRUZGeeuoptWvXThMnTlRxcbGCgoIUFxcn\nPz8/d8cEAADAVaDRBgAX2b17t44cOaL169crKytLDz30kEJDQxUVFaW+fftqwYIFSkxMVFRUlLuj\nAgAA4CpUejO0V155RZGRkRowYIB27Nih06dPa9iwYYqKitK4ceNUUFDgzJwAYLwuXbpo0aJFkqS6\ndesqLy9PKSkp6tmzpyQpPDxcycnJ7owIAAAAJ6hUo/3rWZmVK1dq7ty5Wrx4saKiopSQkKBmzZop\nMTHR2VkBwGje3t4KCAiQJG3YsEF333238vLy7EvFAwMDlZGR4c6IAAAAcIJKLR3v0qWL2rdvL6nk\nrMysWbMkXZyVWb16NcsfAaAMH3zwgRITE7V69Wr17t3bftyyrAqPkZqaWhXRHOYpORxlam7J3Oym\n5pY8P7un5wMAdyprE0lJUsvhVfq8lWq0y5qV+de//lWpWRlP+cfBU3I4ytTckhnZTcjoCBN+HhMy\nXo1PPvlEb7zxhlauXKk6deqoZs2ays/Pl7+/v9LT09WgQYMKjRMSElLxJ004Wcm0Ts7hKFNzS+Zm\nNzW3ZG52J+R2Vr7qXn8BwJWuajM0Z8zK8Gbx6vDGpRxOyl3lr29ZeM2vegxPfbP4yy+/6JVXXtFb\nb72levXqSZLCwsKUlJSk/v37a8eOHerWrZubUwIAAOBqVbrRdtasDABcK95//31lZWXpueeesx97\n+eWXNXXqVK1fv17BwcGKiIhwY0IAAAA4Q6UabWZlAMBxkZGRioyMLHV8zZo1bkgDAACAqlKpRptZ\nGQAAAAAAylapRptZGVwrZsdsLXVs+mv93JAEAICylfVvlcS/VwDgTpW6jjYAAAAAACjbVe06DgDO\nxioCAMBvHT58WM8++6yGDx+u6OhonT59WhMnTlRxcbGCgoIUFxdnv8wsAHgCZrQBAADgsXJzc/Xi\niy8qNDTUfmzx4sWKiopSQkKCmjVrpsTERDcmBIDSaLQBAADgsfz8/LRixYoSl45NSUlRz549JUnh\n4eFKTk52VzwAKBNLxwEAAOCxfHx85ONT8i1rXl6efal4YGCgMjIy3BENAMpFow0AAACj2Gw2+9eW\nZVX4campqVURx2GeksNRpuaWzM1uam7J3OzOyk2jDQAAAKPUrFlT+fn58vf3V3p6eoll5ZcTEhJS\nsSdIOHkV6ZyYozKqMLupuSVzs5uaWzI3u6O5y2vMOUcbAAAARgkLC1NSUpIkaceOHerWrZubEwFA\nScxoAwAAwGMdOHBA8+fPV1pamnx8fJSUlKRXX31VkydP1vr16xUcHKyIiAh3xwSAEmi0AQAA4LHa\ntm2r+Pj4UsfXrFnjhjQAUDEsHQcAAAAAwIlotAEAAAAAcCIabQAAAAAAnIhGGwAAAAAAJ6LRBgAA\nAADAiWi0AQAAAABwIhptAAAAAACciEYbAAAAAAAnotEGAAAAAMCJaLQBAAAAAHAiGm0AAAAAAJyI\nRhsAAAAAACei0QYAAAAAwIlotAEAAAAAcCIabQAAAAAAnIhGGwAAAAAAJ6LRBgAAAADAiWi0AQAA\nAABwIhptAAAAAACciEYbAAAAAAAnotEGAAAAAMCJaLQBAAAAAHAiH2cPOHfuXO3bt082m02xsbFq\n3769s58CAKodaicAOIa6CcCTObXR/vTTT3X8+HGtX79ex44dU2xsrNavX+/MpwCAaofaCQCOoW4C\n8HROXTqenJysXr16SZJuuukmnT17Vjk5Oc58CgCodqidAOAY6iYAT2ezLMty1mDTpk1T9+7d7YUv\nKipKc+bMUYsWLcq8f2pqqrOeGgBKCAkJcXeECqN2AvAUptROR+umRO0EUHXKqp1OXTr+257dsizZ\nbDaHAgHAtYbaCQCOcbRuStROAK7l1KXjDRs21I8//mj//ocfftD111/vzKcAgGqH2gkAjqFuAvB0\nTm2077rrLiUlJUmSvvrqKzVo0EC1a9d25lMAQLVD7QQAx1A3AXg6py4d79Spk9q0aaMhQ4bIZrNp\nxowZzhweAKolaicAOIa6CcDTOXUzNAAAAAAArnVOXToOAAAAAMC1jkYbAAAAAAAnotEGAAAAAMCJ\naLQBAAAAAHAip+467k7Z2dnau3evMjIyJEkNGjRQSEiIx1/qwdTckrnZTc0tmZvdsiwdPXpUGRkZ\nstlsCgoKUsuWLd0dCzL3d8rU3JK52U3NLZmbndrpmUz9fZLMzW5qbsnc7KbmljyndnrPnDlzpsuf\n1cneffddTZ8+XefPn1dRUZGys7O1b98+LV68WNddd51atWrl7ohlMjW3ZG52U3NL5mbfuXOnnnnm\nGe3fv1/Hjx/XoUOH9P777+vNN9/UzTffrMaNG7s74jXL1N8pU3NL5mY3NbdkbnZqp2cy9fdJMje7\nqbklc7ObmlvysNppVQODBw+28vPzSx3PycmxIiMj3ZCoYkzNbVnmZjc1t2WZm33w4MFWZmZmqeNn\nzpzx6NzXApN/p0zMbVnmZjc1t2WZm53a6ZlM/X2yLHOzm5rbsszNbmpuy/Ks2lktztEuLi5WUVFR\nqeOWZenChQtuSFQxpuaWzM1uam7J3OwXLlxQ3bp1Sx0PDAyUZVluSIRLTP2dMjW3ZG52U3NL5man\ndnomU3+fJHOzm5pbMje7qbklz6qd1eIc7UcffVQDBgxQ+/btVb9+fUlSRkaGDhw4oJiYGDenK5+p\nuSVzs5uaWzI3e+/evTV48GDdfffdJXLv3LlTgwcPdnO6a5upv1Om5pbMzW5qbsnc7NROz2Tq75Nk\nbnZTc0vmZjc1t+RZtdNmVZOPRfPy8rRv3z79+OOPsixLDRs2VIcOHVSjRg13R7ssU3NL5mY3Nbdk\nbvaTJ08qJSWlRO4777xTN9xwg7ujXfNM/Z0yNbdkbnZTc0vmZqd2eiZTf58kc7ObmlsyN7upuSXP\nqZ3VptEuz759+9ShQwd3x3CYqbklc7ObmlsyN3taWpoaNWrk7hgog6m/U6bmlszNbmpuydzs1E7P\nZOrvk2RudlNzS+ZmNzW35PraWS3O0b6clJQUd0eoFFNzS+ZmNzW3ZG72tWvXujsCymHq75SpuSVz\ns5uaWzI3O7XTM5n6+ySZm93U3JK52U3NLbm+dlb7Ge2ioiL5+FSLU9E93rFjx3TTTTe5O4bDLMuS\nzWZzdwzAo1A7XYfaCVQP1E3XMbVuStTOa0m1mNHeu3evBg0apPvuu0+LFy9WcXGx/bYnnnjCjcku\nb//+/RoxYoSmTJmijIwMjRgxQnfeeacefvhh7d+/393xLuuzzz4r8efTTz/VuHHj7N97qjfffNP+\n9aFDh/Tggw+qW7duevDBB3XgwAE3JruygwcPaunSpZKkr7/+WgMHDlRYWJjH/7706dNHq1evVkFB\ngbuj4Deona5H7XQ9aiecydS6KZlbO02tm5K5tdPUuil5WO2skouGuVhkZKR15MgRKzMz01qwYIE1\ncuRIq6CgwLIsy4qOjnZzuvI98sgj1qeffmpt2rTJ6tu3r7Vz507Lsizr66+/tgYPHuzmdJfXpUsX\n6+GHH7YmT55s/3PnnXfav/ZUw4YNs389fPhwa+/evZZlWdY333xjPfLII+6KVSEDBw60vvrqK8uy\nLmbfs2ePZVmWdfToUY++puHQoUOtjRs3WoMHD7aWLFlipaWluTsS/he10/Wona5H7YQzmVo3Lcvc\n2mlq3bQsc2unqXXTsjyrdlaL9S3e3t5q2bKlJGn8+PF655139Oyzz2rp0qUevTTDx8dHXbp0kSTF\nx8fr7rvvliTdcsst8vX1dWe0K3r//fcVFxengIAAjR8/XrVr11ZkZKTmzZvn7mgV5uPjo44dO0qS\nWrVqJW9vbzcnurzCwkLdeuutki7+zoeEhEiSxy+d8vLyUkREhPr166cdO3Zo2rRp+uGHH9SiRQsF\nBgZqxowZ7o54zaJ2uh610/WonXAmU+umZG7trA51UzKrdppaNyXPqp3VotFu0qSJZs+ercmTJ8vP\nz09Dhw61//fs2bPujleuGjVqaNu2bXrggQf0xhtvSJKys7O1ceNG1apVy83pLu/666/X/PnztXv3\nbj3zzDMaPHiwx/8DI0nff/+9XnnlFUlSVlaWdu7cqe7du2vbtm0en79fv34aNGiQ+vbtq2bNmmnW\nrFnq0qWL/vnPfyosLMzd8cpl/e82EN7e3urbt6/69u2rvLw8ff3118rIyHBzumsbtdP1qJ2uR+2E\nM5laNyVza6epdVMyt3aaWjclz6qd3jNnzpzp0mesAuHh4crKylLr1q3l5XXxtPM2bdooNDRUhYWF\nCg0NdXPCsnXt2lWff/65brvtNgUEBEi6eP7M559/rtjYWPn7+7s54ZU1btxY/fr100cffaQTJ05o\n4MCB7o50WXXr1lVgYKACAwPVvn173XLLLbruuuv0z3/+U6NHj1bt2rXdHbFcnTp1UqdOnfTdd9/p\n7NmzsixL58+f13//93+rf//+7o5Xrh9++EGdO3cucczX11c33HCDEZ+MVmfUTvehdroOtRPOZGrd\nlMyvnabVTcnc2mlq3ZQ8q3ZW+13HU1JSdMcdd7g7hsNMzS2Zm93U3JK52U3NfS0w9e/G1NySudlN\nzScmHysAACAASURBVC2Zm93U3NWdyX8vpmY3NbdkbnZTc0uuz14tdh2/nGXLlrk7QqWYmlsyN7up\nuSVzs5ua+1pg6t+Nqbklc7ObmlsyN7upuas7k/9eTM1uam7J3Oym5pZcn71anKM9bty4Mo9blqWj\nR4+6OE3FmZpbMje7qbklc7ObmvtaYOrfjam5JXOzm5pbMje7qbmrO5P/XkzNbmpuydzspuaWPCt7\ntWi0c3JydPvtt9t38rvEsiydOHHCTamuzNTckrnZTc0tmZvd1NzXAlP/bkzNLZmb3dTckrnZTc1d\n3Zn892JqdlNzS+ZmNzW35GHZq+aqYa519uxZ67nnnrPO/X/27j6+53rx//jzsyszOsqYXKZCR0RM\nampFVi5OoouhhVyeKLX85KJhLsLKkMujVKqjSE3FIvPt4uw42NIqDukUOUJZi7kYm129f3/4+nxb\nNu3ivX0+r8/ncb/duh17f7b35+H9+XidvT7vqzNnLnrMne9paGq3ZZnbbmq3ZZnbbmq3NzD1tTG1\n27LMbTe127LMbTe129OZ/LqY2m5qt2WZ225qt2W5V7vHXwytsLDQeVVIk5jaLZnbbmq3ZG67qd3e\nwNTXxtRuydx2U7slc9tN7fZ0Jr8uprab2i2Z225qt1T17R5x6HheXp7Wrl2rbdu2KSMjQw6HQ3Xr\n1lV4eLjuu+8+V+eVyNRuydx2U7slc9tN7fYGpr42pnZL5rab2i2Z225qt6cz+XUxtd3UbsncdlO7\nJfdq94g92mPGjFGTJk3UpUsXBQcHy7IspaenKykpSadOnXLeKN7dmNotmdtuardkbrup3d7A1NfG\n1G7J3HZTuyVz203t9nQmvy6mtpvaLZnbbmq35GbtVXmcemV5+OGHy/WYq5nabVnmtpvabVnmtpva\n7Q1MfW1M7bYsc9tN7bYsc9tN7fZ0Jr8uprab2m1Z5rab2m1Z7tVu5gH2v+NwOJSUlKS8vDznstzc\nXCUmJiogIMCFZZdmardkbrup3ZK57aZ2ewNTXxtTuyVz203tlsxtN7Xb05n8upjabmq3ZG67qd2S\ne7V7xKHjR48e1cKFC7Vjxw5lZ2dLkoKCghQWFqZRo0apfv36Li4snqndkrntpnZL5rab2u0NTH1t\nTO2WzG03tVsyt93Ubk9n8utiarup3ZK57aZ2S27WXqX7zyvJ5s2brc6dO1sdO3a0xo8fb50+fdr5\n2MCBA11YdmmmdluWue2mdluWue2mdnsDU18bU7sty9x2U7sty9x2U7s9ncmvi6ntpnZblrntpnZb\nlnu1e8Sh48uXL9f777+vlJQUhYaGatiwYTp9+rSk8zcnd1emdkvmtpvaLZnbbmq3NzD1tTG1WzK3\n3dRuydx2U7s9ncmvi6ntpnZL5rab2i25V7tHTLR9fX11+eWXy+FwqG/fvhoxYoSGDRum48ePy+Fw\nuDqvRKZ2S+a2m9otmdtuarc3MPW1MbVbMrfd1G7J3HZTuz2dya+Lqe2mdkvmtpvaLblXu0fcR7t9\n+/Z69NFHtXDhQgUGBioiIkLVqlXT4MGDdeLECVfnlcjUbsncdlO7JXPbTe32Bqa+NqZ2S+a2m9ot\nmdtuarenM/l1MbXd1G7J3HZTuyU3a6/SA9UrUUpKilVYWFhk2enTp601a9a4qKh0TO22LHPbTe22\nLHPbTe32Bqa+NqZ2W5a57aZ2W5a57aZ2ezqTXxdT203ttixz203ttiz3afeIq44DAAAAAOAuPOIc\nbQAAAAAA3AUTbQAAAAAAbOQRF0ODe0pOTtby5cvl4+Oj7OxsNWrUSDNmzNCf/vQnV6cBgFti3ASA\nsmPshDviHG1UitzcXIWHhysxMVEhISGSpPj4eNWpU0dDhgxxcR0AuB/GTQAoO8ZOuCv2aKNSnDt3\nTmfPnlV2drZz2bhx4yRJ3377rZ5//nnl5+crLy9PsbGxuv766/XFF19o7ty5CggIUE5OjqZOnapW\nrVpp48aNevXVVxUUFCTLshQXF6fGjRsrISFBb7/9tqpXr67g4GDNnDlTNWvWVGhoqEaOHKktW7Yo\nIyNDCxYs0HXXXae5c+cqJSVFAQEBCgkJ0Zw5cxQQEOCqTQQARTBuAkDZMXbCbVXpNc7hVV566SXr\nxhtvtAYPHmz97W9/s/bv329ZlmXdc8891sGDBy3Lsqy9e/da9913n2VZlvU///M/1t69ey3LsqzE\nxETriSeesCzLsnr16mV9/fXXlmVZ1tdff23t2LHDOnLkiHX77bdbp0+ftizLsp577jlr8eLFlmVZ\nVosWLax//OMflmVZ1uLFi61nn33WOnHihHXjjTda+fn5lmVZ1oYNG6wjR45UxWYAgFJj3ASAsmPs\nhDsq1x7td999V+vXr3d+vXv3bq1evVrTpk2TJF133XWaPn26LR8EwFx//etfFRkZqa1btyo1NVV9\n+/bV4MGDdeDAAU2aNMn5fVlZWSosLFSdOnUUHx+vc+fO6dSpU6pVq5Yk6f7779fEiRN199136+67\n71bbtm318ccfq1WrVqpZs6YkqWPHjnr77bed67zlllskSQ0aNNDBgwdVq1YthYeHa8CAAbrrrrvU\ns2dPXXnllVW4NQDgjzFuAkDZMXbCHZVroh0ZGanIyEhJ0ueff66PPvpIs2bNUkxMjNq0aaOxY8cq\nOTlZd9xxh62xMEt2drauuOIK3XPPPbrnnnvUvXt3xcbGyt/fXytXrrzo+8ePH6/p06crLCxMn332\nmVasWCFJGjx4sO655x5t2bJFsbGxioyMVJ06dYr8rGVZcjgczq99fX2LPCZJixYt0v79+5WcnKwB\nAwZo8eLFatmyZWX81QGgXBg3AaDsGDvhjip8e6+lS5dqxIgROnLkiNq0aSNJ6tKli7Zv317hOJhr\ny5Yt6tevn7KyspzLfvzxR7Vs2VKNGjVScnKyJOnAgQNasmSJJOnXX39V8+bNVVhYqE2bNik3N1cF\nBQWaO3euLrvsMt1333164okntHPnTrVu3Vp79uxxrn/btm1q27ZtiT2HDh3S66+/rmuvvVZDhw7V\nXXfdpW+//bYStwAAlA3jJgCUHWMn3FWFrjq+a9curVq1SmPGjNGjjz6qDz74QJK0fft2JSQkaN68\neZf8+bS0tPI+NQBcUmhoqKsTKg1jJ4DK4sljJzzXypUrtW7dOlWvXl2WZSk4OFiTJk3Sr7/+qpkz\nZ8rhcCg/P18TJ05Uu3bttGzZMn344Ydq0KCBhg0bpvHjx2vo0KEqKCjQhx9+6Lwt2OTJk9W8eXO9\n9957Wr16tQICAnTllVfq2WefVVBQkK677jrt2bNHfn5+eu+997Rt2zbNnj1bkydP1g8//KAaNWqo\nVq1amj17tvPQc3iPCk20Y2Nj9Ze//EVNmzYtMtHetm2b1q5dy0QbgMt48i+LaWlplfb3q8x1VzZT\n203tlsxtN7Vb4t8/AJiiQrf3Sk1N1eTJk+VwOHTixAnn8vT0dOd97P4I/2dxMVPbTe2WzG03tVuq\n/F8WAQAAAFcp9zna6enpqlGjhgICAuTv769rrrlGX3zxhSRp8+bNCg8Pty0SAAAAAABTlHuPdkZG\nhmrXru38OiYmRrGxsSosLFTbtm3VqVMnWwIBAAAAADBJuSfarVu31iuvvOL8ulmzZlq1apUtUQDg\nid59912tX7/e+fXu3bu1evVqTZs2TZJ03XXXafr06S6qAwAAgF0qdI42AKD0IiMjFRkZKUn6/PPP\n9dFHH2nWrFmKiYlRmzZtNHbsWCUnJ+uOO+5wcSkAAAAqosL30QYAlN3SpUs1YsQIHTlyRG3atJEk\ndenSRdu3b3dxGQAAACqKPdoAUMV27dql+vXry9fX13mvTkkKDg5WRkZGqdZRmVdWN/mq7aa2m9ot\nmdtuardkdjsAeAsm2oChnnvuOaWkpCgnJ0fZ2dlq0qSJatWqpSVLllz0vXv37lVQUJCuuuqqYtf1\n7rvv6uDBg3r66ad15swZxcXF6ZtvvlFgYKB8fX31zDPP6Prrry9T32/XiaISEhJ03333XbTcsqxS\nr4NbI17M1HZTuyUz200fO7k1IgCYgYk2YJNeY9fZur7Eeb0v+fjEiROVlpamgwcP6vvvv9eECRNK\n/N5NmzYpNDS0xF8Wf2vmzJlq0aKFZs6cKUnasWOHxowZow0bNsjPjyHDDqmpqZo8ebIcDodOnDjh\nXJ6enq6QkBAXlgFVj7ETAOCJGPkBD/Pcc89p586dys/P16BBg9SsWTO9++67+vTTT1W7dm3t27dP\nq1evlsPhuOgq16dOndIXX3yh2bNnO5fddNNN+vDDD+Xn56fc3FxNmTJFR44cUW5ursaMGaOwsDB9\n8MEHJa4zLy9PY8eO1bFjx5Sbm6vo6GjddtttVbpN3El6erpq1KihgIAASdI111yjL774Qh06dNDm\nzZs1cOBAFxcC3omxEwBgJybaVaCkT+v/6FN3oKy2b9+u//73v1q9erXOnDmje++9V4mJierUqZPu\nvfdetW7dWv/+97/16quvqmbNmurfv7/279/v/PmDBw/qmmuukcPhKLJef39/SdL69etVs2ZNvfnm\nm/r55581ZMgQbdq0SdnZ2SWuc+/evTpz5ozeeustZWZmev3FvjIyMlS7dm3n1zExMYqNjVVhYaHa\ntm2rTp06ubAOdilu3GfMd1+MnQAAuzHRBjzI7t271bFjR0lSjRo1dPXVV+vHH38s8j21atXSo48+\nKofDoQMHDigzM9P5mI+Pj/Lz851fv/DCC/ryyy+VmZmp2NhY7d69W2FhYZKk+vXry+FwKCsr65Lr\nbNasmTIzMzV+/Hjdfffd6t69e2VuArfXunVrvfLKK86vmzVrplWrVrmwCABjJwDAbky0AQ/icDiK\nXFArLy9PPj7/dxe/c+fOadasWVq/fr2Cg4M1bNiwIj9/1VVX6YcfflBeXp78/f01ZswYSdLTTz+t\nnJycYtfvcDguuc6goCAlJCToyy+/1Nq1a5WcnKxnn322Mv76AFAujJ0AALtxH214pF5j1xX7n6e7\n4YYblJqaKknKysrSkSNH1KRJE/n4+KigoECnT59WQECAgoODdeTIEX3zzTfKy8tz/nzNmjV1xx13\naPHixc5lv/76q7777jsFBgYWWf/hw4cVGBio7OzsS67z3//+tzZu3KgOHTpo+vTp+u6776poawBA\n6TB2AgDsxh5twIPcfPPN2rJlix5++GHl5+drwoQJCgwMVIcOHTRjxgw999xz6tChgx588EG1bNlS\nw4YN06xZs4pcgGvSpEl64YUX1KdPH9WoUUP5+fkaOnSoOnbsqHbt2mnHjh0aOHCg8vPzNX36dNWp\nU+eS62zcuLFeeOEFrV69Wj4+PhoxYoSrNg8AFIuxEwBgN4dVlhu32qyy7wXpLvf2LOvF0NypvSzc\nqZtt7v685d9/ZWDbFc+d2styMTR36i4rU9tN7Zb49w8ApuDQcQAAAAAAbMREGwAAAAAAGzHRBgAA\nAADARky0AQAAAACwERNtAAAAAABsxEQbAAAAAAAbMdEGDHb06FGNHDlSkZGRioyMVHR0tI4fP16m\ndUycOFGfffZZsY8dPnxY999/f5Flixcv1ptvvlnuZgBwNcZOAEBl83N1AOAp+q4ZZev63um37JKP\nFxQUaMGCBYqLi1OHDh0kScuXL9esWbM0b948W1sAoLIwdgIAPBETbcBQW7duVaNGjZy/KErS8OHD\nZVmWjh49qpiYGOXl5cnhcGjWrFlq3Lix4uLitGvXLp07d04PPfSQIiMjnT/7008/ady4cfLx8VFB\nQYHi4+P/sOGNN97Qxo0bJUldu3bVX//6V02cOFG1a9fWnj17dPz4cY0YMULvvfeeMjMz9eabbyoo\nKEhTpkzR3r17FRgYqCeffFJhYWH2byAAKAZjJwCgKjDRBgz1ww8/qEmTJkWW+ficPxtk4cKFevDB\nB9WzZ09t2rRJS5Ys0YwZM9SwYUM988wzysnJUURERJFfFpOSktSpUyc9/vjj2rNnjzIyMlSnTh0d\nOHBAAwcOdH7fkSNHNHToUB06dEjvv/++EhISJEmRkZHq3r27JMnPz09vvPGGxo4dq6+++kqvv/66\nxo0bp9TUVGVlZalu3bp64IEHdPXVV+uRRx5RYmJiZW8uAJDE2AkAqBpMtAFDXdh7csGoUaOUlZWl\no0ePysfHR2PHjpUk3XzzzVq6dKmqVaumkydPqn///vL391dmZmaR9d16660aPXq0Tp8+rW7duqld\nu3Y6fPiwrr76aq1cudL5fYsXL5Yk7d27V23btpWf3/lhpH379vr2228lSW3atJEkhYSE6JprrpEk\n1alTR6dPn9bXX3+ttLQ0JScn67LLLtO5c+eUm5urgICAStpSAPB/GDsBAFWBiTZgqObNm2vTpk3O\nr5ctO39e4p133inLsmRZliQpLy9PPj4++vzzz5WSkqKVK1fK399f7dq1K7K+Fi1aaN26ddq6davm\nz5+vBx54oMihlb/ncDicz/Hb55EkX19f5/Lf/tmyLPn7+2vkyJGqX7++QkNDK7AFAKDsGDsBAFWB\nq44Dhrrlllt07Ngxffrpp85le/bs0ZkzZ9SxY0elpqZKknbs2KHWrVsrMzNTV155pfz9/fXJJ5+o\noKBAubm5zp/dsGGDvv/+e0VERCg6Olq7d+++5PO3bNlSX3/9tfLz85Wfn6+dO3eqZcuWf9jdtm1b\nffzxx5KkY8eOaf78+eX56wNAuTB2AgCqAnu0AUM5HA5NmDBB69at09KlS+Xv76+goCAtW7ZMDRs2\n1KRJk/TOO+/I399fs2fPVlBQkF5++WUNGDBAERER6ty5s6ZNm+ZcX9OmTTV16lQFBQXJ19dXkydP\nvuTzN2rUSP369dOAAQNkWZYiIyPVsGHDP+zu0aOHUlJSNHXqVFWvXl2jR4+u6KYAgFJj7AQAVAWH\n9dvjl6pYWlpapR3+VJnrLqteY9cVuzxxXu9il7tTe1m4Uzfb3P15y7//ysC2K547tRc3Bpkw/jB2\nuj/+/QOAGcq9R3v9+vV65ZVX5Ofnp+joaLVo0ULjx49XQUGB6tatq/j4eC7QAQAAAADwOuU6Rzsz\nM1NLly7VqlWr9OKLL+rjjz/WokWLFBUVpVWrVumqq65y3rYCAAAAAABvUq6J9vbt2xUWFqaaNWsq\nJCREzz77rFJTU9W1a1dJUpcuXbR9+3ZbQwEAAAAAMEG5Dh0/fPiwcnJyNHLkSJ06dUpPPPGEsrOz\nnYeKBwcHKyMjo1TrSktLK0+Cy9dth0v1uXt7Sdy9m23uXkxuBwAAAEpS7nO0T5w4oSVLluinn37S\noEGD5HA4nI+V5fpqXnFBj1WHi11cUp9btZeBW3Wzzd1eZV/QBwAAAHCVch06HhwcrHbt2snPz09N\nmjRRjRo1VL16deXk5EiS0tPTFRISYmsoAAAAAAAmKNdE+7bbblNKSooKCwt1/PhxnT17Vp06dVJS\nUpIkafPmzQoPD7c1FMDFjh49qpEjRyoyMlKRkZGKjo7W8ePHy7SOiRMn6rPPPivx8R9//FEjR47U\nAw88oPvuu0/PPvus80O1kmzatKnEx/bu3atFixZdtPzJJ59Uampq6cMNtX79et177726//77lZyc\nrJ9//lkDBw5UVFSUoqOjlZub6+pEwOMxdgIAKlu5Dh2vV6+eunXrpr59+0qSJk+erBtuuEETJkzQ\nmjVr1KBBA/Xp08fWUMDdbe39gK3ru3Xd2ks+XlBQoAULFiguLk4dOnSQJC1fvlyzZs3SvHnzbGko\nLCzUE088oYkTJyosLEyStGLFCk2ZMkXx8fEl/tzy5cvVvXv3Yh9r2bKlWrZs6ZWHd1+4Y8PatWt1\n9uxZLV68WJs2bVJUVJR69Oih+fPnKyEhQVFRUa5OBaoMY+f/YewEAM9R7nO0+/fvr/79+xdZ9tpr\nr1U4CEDpbN26VY0aNXL+oihJw4cPl2VZOnr0qGJiYpSXlyeHw6FZs2apcePGiouL065du3Tu3Dk9\n9NBDioyMdP7sTz/9pHHjxsnHx0cFBQWKj4/X/v371bRpU+cvipI0ZMgQde/eXceOHVN8fLy6deum\nLl266LPPPlNSUpKaNWum//znPxo9erTi4uL01FNPKTc3V7m5uYqNjVVWVpbeeustPfLII3r55Ze1\nYcMGNWjQQFlZWZKkrKwsxcTE6OTJkyooKNDkyZP15z//ueo2bCX67R0batasqWeffVZ33nmnpk+f\nLun8HRtWrFjBRBuoRIydAICqUO6JNgDX+uGHH9SkSZMiy3x8zp8NsnDhQj344IPq2bOnNm3apCVL\nlmjGjBlq2LChnnnmGeXk5CgiIqLIL4tJSUnq1KmTHn/8ce3Zs0cZGRn64YcfdP311xd5DofDoebN\nm+u///1vsV3Dhw/Xyy+/rCVLlmjz5s2qV6+eZs+erUOHDumHH35QYGCgJOnMmTNavXq1PvroI+Xl\n5emuu+6SJL3xxhsKDw9XZGSk9u3bp1mzZnnMh3jcsaHyuXO7yXc9MKn9j3r++c9/qkmTJsV+30sv\nvaT27dsrLCxMqampmj59uoYNG6bCwkI9/fTTys3N1VNPPaVrrrlGx44d0759+7RlyxY1bdpU999/\nvw4cOKAtW7Zo3759qlWr1kXPUbduXSUlJTl/9k9/+pP27dunY8eOKTIyUoGBgRoyZIjefPNN+fn5\n6bHHHlN6erpSUlIUEBCgzMxMnTlzRq+//rrmzp2rgoICjRkzRt99953Wr1+vJk2aqEuXLjp8+LAm\nTZqkmJgYW7ctAKD0mGgDhrqw9+SCUaNGKSsrS0ePHpWPj4/Gjh0rSbr55pu1dOlSVatWTSdPnlT/\n/v3l7++vzMzMIuu79dZbNXr0aJ0+fVrdunVTu3bt9PXXXxd5jgssy5Kvr+8fNt54441asGCBYmNj\ndffdd+uOO+5wnkuYnp6uZs2aqVq1aqpWrZpatWolSfrqq690/PhxrV+/XpKUnZ1dvg3kprhjQ+Vx\nq/Zi7nxgxF0PXHDHhq0V+umL/VHPnj179N133zm/7/dj5+zZs1WnTh1dc801+uijjxQWFqYvvvhC\n8fHx8vf3V1ZWlkJDQxUcHKxmzZrpjjvu0OjRo3XZZZc5x87XX39dZ8+evailVq1auv7667Vr1y41\na9ZMoaGhOnXqlPbv36/Q0FD5+fkpNDRUjRs3VmJiotatW6e7775bPXv2VGpqqnbs2KH09HS1atXK\nube8bdu2atGihZKTk7V3717t3LlT0vkPRcv62rjbhyYAYDIm2oChmjdvXuTCOcuWLZMk3XnnnbIs\nyzlpy8vLk4+Pjz7//HOlpKRo5cqV8vf3V7t27Yqsr0WLFlq3bp22bt2q+fPn64EHHtC1116r1atX\nF/k+y7K0b98+NW3atMgkMT8//6LGkJAQrVu3TqmpqVq9erW+/vpr3XTTTc71XNgDf+FrSfL399eU\nKVMu6vMExd2xwdfXVzk5OQoMDOSODUAVYOwEAFSFcl11HIDr3XLLLTp27Jg+/fRT57I9e/bozJkz\n6tixo3PP8Y4dO9S6dWtlZmbqyiuvlL+/vz755BMVFBQUucL1hg0b9P333ysiIkLR0dHavXu3br31\nVh0+fFjJycnO73v99dcVGhqqyy+/XDVq1HAe6vzbPSEXfvHbtm2btm3bpttuu01TpkzR7t27nd9T\nr1497d+/X3l5ecrKynI+1rZtW3388ceSpH379nnMYeMSd2wA3AFjJwCgKrBHGzCUw+HQhAkTtG7d\nOi1dulT+/v4KCgrSsmXL1LBhQ02aNEnvvPOO/P39NXv2bAUFBenll1/WgAEDFBERoc6dO2vatGnO\n9TVt2lRTp05VUFCQfH19NXnyZPn4+OjVV1/V1KlTtXDhQlmWpdatW2vy5MmSpN69e+vpp59WUlKS\nWrZs6VxXy5Yt9eCDD2rBggUaN26cXnnlFTkcDj355JPOQ9Fr1qypPn36qF+/fmrUqJFuuOEGSdKA\nAQP0zDPPKCoqSoWFhZo0aVLVbdRKxh0bANdj7AQAVAWHVZaTAm1WmeeludM5b73Grit2eeK83sUu\nd6f2snCnbra5+/OWf/+VgW1XPHdqL24MMmH8Yex0f/z7BwAzcOg4AAAAAAA24tBxAIBbKuveVQAA\nAHdh1ESbX7oAAAAAAO6OQ8cBAAAAALARE20AAAAAAGzERBsAAAAAABsZdY42gKKOHj2qkSNH6tix\nY5KkBg0aaOrUqapdu3ap1zFx4kR169ZNXbp0ueixw4cPq1evXmrdurUkKTc3Vy1atNC0adPk6+tb\n4f4xY8YoLi5OgYGBFV4XAJQWYycAoLIx0QZsMmNsoq3ri53X65KPFxQUaMGCBYqLi1OHDh0kScuX\nL9esWbM0b9482zquvvpqrVy50vn1xIkTlZiYqD59+lR43S+88EKF1wHAbIydZcfYCQDuj4k2YKit\nW7eqUaNGzl8UJWn48OGyLEtHjx5VTEyM8vLy5HA4NGvWLDVu3FhxcXHatWuXzp07p4ceekiRkZHO\nn/3pp580btw4+fj4qKCgQPHx8cU+b5s2bXTw4EFJ0ltvvaXExET5+PgoIiJCQ4cO1alTp/T0008r\nKytLl112mebPny/LshQTE6OTJ0+qoKBAkydPliTdeeedWrlypYYOHaqkpCRJ0nvvvafvvvtOQ4YM\n0eTJk5WbmytfX1/NnDlTDRo0qKzNCcBLMHYCAKoCE22DFPep/x99cg/P9cMPP6hJkyZFlvn4nL/s\nwsKFC/Xggw+qZ8+e2rRpk5YsWaIZM2aoYcOGeuaZZ5STk6OIiIgivywmJSWpU6dOevzxx7Vnzx5l\nZGSoTp06Rdafl5enTz75RA899JAOHTqkTZs2afXq1ZKkhx56SN27d9eaNWt02223adCgQXr99de1\nfft2/ec//1F4eLgiIyO1b98+zZo1S6NHj5YkXX755apXr56+//57NW/eXJ9++qmGDRumhQsXm1eU\n1AAAIABJREFUasiQIerUqZOSk5P1t7/9TTNnzqzMTQrACzB2AgCqAhNtwFAX9p5cMGrUKGVlZeno\n0aPy8fHR2LFjJUk333yzli5dqmrVqunkyZPq37+//P39lZmZWWR9t956q0aPHq3Tp0+rW7duateu\nnQ4fPqwDBw5o4MCBkqT//Oc/Gj58uCIiIrRx40YdPHhQgwYNkiSdOXNGR44c0TfffKPo6GhJ0uDB\ngyVJb7/9to4fP67169dLkrKzs4s89913363PPvtMTZo00b59+3TjjTcqJiZGBw4c0LJly1RQUFCm\ncycBoCSMnQCAqsBEGzBU8+bNtWnTJufXy5Ytk3T+kELLsmRZlqTze1J8fHz0+eefKyUlRStXrpS/\nv7/atWtXZH0tWrTQunXrtHXrVs2fP18PPPCAOnToUOQ8wyeffFJXX321JMnf31+dO3fWjBkziqzn\n1VdfVWFhYZFl/v7+mjJlSpHnTEtLc/75rrvu0lNPPaXmzZvrtttuk8PhkL+/vxYuXKiQkJCKbioA\ncGLsBABUBW7vBRjqlltu0bFjx/Tpp586l+3Zs0dnzpxRx44dlZqaKknasWOHWrdurczMTF155ZXy\n9/fXJ598ooKCAuXm5jp/dsOGDfr+++8VERGh6Oho7d69+6LnHDdunObOnavs7Gy1atVKqampys7O\nlmVZmjlzpnJyctS6dWulpKRIOr835v3331fbtm318ccfS5L27dun1157rch669WrJ0n68MMP1b17\nd0kq8jPbt29XYqK9F0wC4J0YOwEAVYE92qh0JV1RlvPLK8bhcGjChAlat26dli5dKn9/fwUFBWnZ\nsmVq2LChJk2apHfeeUf+/v6aPXu2goKC9PLLL2vAgAGKiIhQ586dNW3aNOf6mjZtqqlTpyooKEi+\nvr7Oi+78VuPGjdWtWzctW7ZM/+///T8NGjRIDz/8sHx9fRUREaHAwEA98sgjGj9+vAYOHKgaNWpo\n7ty5kqRnnnlGUVFRKiws1KRJk4r8oipJXbt21d///nfnhYRGjx6tmJgYbdiwQQ6HQ3FxcZW3MQF4\nDcZOAEBVcFgXjpFygbS0NIWGhpb6+3uNXVfs8sR5vSu87spUlm6p5HZ3vxhaWbqlym23a5u7O1O7\npcptN3m7lIa3bDuT/x0X125qt2RGe1mY2i15z79/ADAde7QBAB6LI2oAAIArcI42AAAAAAA2YqIN\nAAAAAICNmGgDAAAAAGAjJtoAAAAAANioXBdDS01NVXR0tJo3by5JatGihYYPH67x48eroKBAdevW\nVXx8vAICAmyNRdUr6xVoAQAAAMDblfuq4x07dtSiRYucX1+4z2OPHj00f/58JSQkKCoqypZIAAAA\nAABMYdvtvVJTUzV9+nRJUpcuXbRixQom2gAAlBO3JgMAwFzlnmjv27dPI0eO1MmTJzV69GhlZ2c7\nDxUPDg5WRkZGqdaTlpZW3oQ/XIcd665Ml+orbbur/o52bHNXtNuxzd2Nqd2S2e0AAABASco10W7a\ntKlGjx6tHj166NChQxo0aJDy8/Odj1uWVep1hYaGlv6JVx0u9TrS0tLKtu7KVIZuqeT2Dat+KvU6\nbGPDNi+uu6R12Mambe7uTO2WKredCTwAAABcqVwT7Xr16qlnz56SpCZNmqhOnTr6+eeflZOTo8DA\nQKWnpyskJMTWUAAwHReSBAAA8A7lur3X+vXr9eqrr0qSMjIydOzYMd1///1KSkqSJG3evFnh4eH2\nVQKAh+jYsaNWrlyplStXasqUKVq0aJGioqK0atUqXXXVVUpISHB1IgAAACqoXBPtO++8Uzt27FBU\nVJQee+wxTZs2TWPGjNEHH3ygqKgonThxQn369LG7FQA8Tmpqqrp27Srp/IUkt2/f7uIiAAAAVFS5\nDh2vWbOmXnzxxYuWv/baaxUOAgBP5k4XknTFuu1g6oUk7boYo8ntlWlaMdfmmBbVqMTvd5fu8jC5\nHQC8hW239wIAXJrLLiRZBm51gT0bLmrokosxSsW223EBzEutxxYmX0jShm1uAi4kCQBmKNeh4wCA\nsrtwIUmHw+G8kOSpU6eUk5MjSVxIEgAAwEMw0QaAKsKFJAEAALwDh44DQBW588479fTTT+uTTz5R\nXl6epk2bppYtW2rChAlas2aNGjRowIUkAQAAPAATbQCoIlxIEgAAwDsw0QY80IyxicUuj53Xq4pL\nAAAAAO/DRBsAPFyvsesuWpY4r7cLSgAAALwDF0MDAAAAAMBG7NEG3Exxex8l9kACAAAApmCPNgAA\nAAAANmKPNgDgD3GBPXgD3ucAALuwRxsAAAAAABsx0QYAAAAAwEZMtAEAAAAAsBETbQAAAAAAbMRE\nGwAAAAAAGzHRBgAAAADARky0AQAAAACwERNtAAAAAABsxEQbAAAAAAAbMdEGAAAAAMBGTLQBAAAA\nALCRn6sDvFnfNaOKXT6h2fAqLvEebHMAAAAAlY092gAAAAAA2IiJNgAAAAAANmKiDQAAAACAjSo0\n0c7JyVHXrl313nvv6eeff9bAgQMVFRWl6Oho5ebm2tUIAAAAAIAxKnQxtGXLlunyyy+XJC1atEhR\nUVHq0aOH5s+fr4SEBEVFRdkSCQAA4Il6jV1X7PLEeb2ruAQAYKdy79Hev3+/9u3bp86dO0uSUlNT\n1bVrV0lSly5dtH37dlsCAQAAAAAwSbn3aD///POaMmWKPvjgA0lSdna2AgICJEnBwcHKyMgo1XrS\n0tLKm/CH67Bj3a5S2nZX/R3t2Obu9vq4W8/vsc0BAAAAM5Rrov3BBx/oxhtvVOPGjZ3LHA6H88+W\nZZV6XaGhoaV/4lWHS72OtLS0sq27MpXQfSnFtW9Y9VOpvs9WNmzz4rpLWodtbNrmLmHqNi+jyvw3\n6u4T+JycHP3lL3/R448/rrCwMI0fP14FBQWqW7eu4uPjnR9aonh914wqdvmEZsOruAQAAKB45Zpo\n/+Mf/9ChQ4f0j3/8Q0ePHlVAQICqV6+unJwcBQYGKj09XSEhIXa3AoBH4PoWAAAAnq1c52gvWLBA\na9eu1TvvvKPIyEg99thj6tSpk5KSkiRJmzdvVnh4uK2hAOAJuL4FAACA57PtPtpPPPGEPvjgA0VF\nRenEiRPq06ePXasGAI/x/PPPa+LEic6vy3t9CwAAALivCt3eSzo/wb7gtddeq+jqAMBj2Xl9i4qe\nh36pn/eGC+y5ovtS55a7+za36/1S1Ux+n5u6zQEA51V4og0AKB07r29R0QtJlvTzbnWBPRsuauiy\nCwOWsd3dt3lZ3y8u4WHvc1dscybwAGAfj5hoF7eXoKSrz84Ym1js8th5vWxtAoDfW7BggfPPixcv\nVsOGDfXVV18pKSlJvXv35voWAAAAHsK2c7QBAGXH9S0AAAA8j0fs0QYA03B9CwAAAM/FHm0AAAAA\nAGzEHm0AAOCRLnWldwAAKhN7tAEAAAAAsBETbQAAAAAAbMREGwAAAAAAG3GONgAAsM2MsYnFLo+d\n16uKSwAAcB32aAMAAAAAYCMm2gAAAAAA2IhDx1Euxd0yhdulAAAAAAB7tAEAAAAAsBUTbQAAAAAA\nbMREGwAAAAAAGzHRBgAAAADARky0AQAAAACwERNtAAAAAABsxO29ALiVGWMTL1oWO6+XC0oAAACA\n8mGPNgAAAAAANmKiDQAAAACAjZhoAwAAAABgIybaAAAAAADYiIk2AAAAAAA2YqINAAAAAICNynV7\nr+zsbE2cOFHHjh3TuXPn9Nhjj+nPf/6zxo8fr4KCAtWtW1fx8fEKCAiwuxcAYIO+a0YVu3xCs+FV\nXAIT8H4BAKBsyjXR/uyzz9S6dWuNGDFCR44c0dChQ9W+fXtFRUWpR48emj9/vhISEhQVFWV3LwAA\nAAAAbq1ch4737NlTI0aMkCT9/PPPqlevnlJTU9W1a1dJUpcuXbR9+3b7KgEAAAAAMES59mhf0L9/\nfx09elQvvviihgwZ4jxUPDg4WBkZGbYEAoCn4LQbeJqcGbO19fcLmw12QQkAAO6lQhPtt99+W3v3\n7tW4cePkcDicyy3LKvU60tLSKpJg27ors6M8SttjandZv7cquFvP75XU5w3b3N26y4vTbgAAALxD\nuSbau3fvVnBwsOrXr6+WLVuqoKBA1atXV05OjgIDA5Wenq6QkJBSrSs0NLT0T7zqcJk6i1v3hlU/\nVbyjrMrYLZW+vVK7Ja/f5i5RQntxfWlpae6zzcuoLO1l7XbXiXnPnj2df/7taTfTp0+XdP60mxUr\nVjDRBgAAMFy5ztH+4osvtGLFCknSr7/+qrNnz6pTp05KSkqSJG3evFnh4eH2VQKAB+nfv7+efvpp\nxcTEKDs7m9NuAAAAPEy59mj3799fkyZNUlRUlHJychQbG6vWrVtrwoQJWrNmjRo0aKA+ffrY3QoA\nHoHTbiqPqacjmLzNS8vdut19m1/qOd1tWwIALlauiXZgYKDmzZt30fLXXnutwkEA4Kk47aaMbDgF\nxGWnUXjRNi8ttnkJynC6kFTyaTd2YAIPAPYp16HjAICy47QbAAAA71Chq44DAEqP025QnGJvkSVx\nmywAAAzGRBu4hBljEy9aFjuvlwtK3F+vseuKXZ44r3cVl7gvTrsBAADwDhw6DgAAAACAjZhoAwAA\nAABgIybaAAAAAADYiIk2AAAAAAA2YqINAAAAAICNmGgDAAAAAGAjJtoAAAAAANiIiTYAAAAAADZi\nog0AAAAAgI38XB2Ai+XMmK2txT3QbHAVl8Cd9F0z6qJlE5oNd0EJAAAAgEthjzYAAAAAADZiog0A\nAAAAgI04dBwAAMBgM8YmFrs8dl6vKi4BAFzARBsQ58UDAAAAsA+HjgMAAAAAYCMm2gAAAAAA2IiJ\nNgAAAAAANmKiDQAAAACAjZhoAwAAAABgIybaAAAAAADYiIk2AAAAAAA2YqINAAAAAICNmGgDAAAA\nAGAjv/L+4Jw5c5SWlqb8/Hw9+uijuuGGGzR+/HgVFBSobt26io+PV0BAgJ2tAH4nZ8ZsbS3ugWaD\nq7gEAAAAwAXlmminpKTo+++/15o1a5SZman77rtPYWFhioqKUo8ePTR//nwlJCQoKirK7l4AAAAA\nANxauSbaN910k9q0aSNJqlWrlrKzs5Wamqrp06dLkrp06aIVK1Yw0QaA3+FoIACl0XfNqGKXR6/6\n5eIjmTiKCQDcTrnO0fb19VVQUJAk6d1339Xtt9+u7Oxs5y+HwcHBysjIsK8SADzAb48GeuWVVzR7\n9mwtWrRIUVFRWrVqla666iolJCS4OhMAAAAVVO5ztCXp448/VkJCglasWKFu3bo5l1uWVep1pKWl\nVSTBtnVXZkdlcrdutrl7c0X7pZ6ztD0mb/Pf4mggAAAA71DuifaWLVv04osv6pVXXtFll12m6tWr\nKycnR4GBgUpPT1dISEip1hMaGlr6J111uEyNxa17w6qfKt5RVmXsLotK7ZbY5sVwt21eFq7Y5iU9\nZ1paWqnfL2XtdteJeXFHA/3rX//iaCAAAAAPU66J9unTpzVnzhy9/vrruvzyyyVJnTp1UlJSknr3\n7q3NmzcrPDzc1lAA8BQcDVR5vOEoCVPb3a3b5Pd5aZnaDQCeoFwT7Y0bNyozM1NPPfWUc9lzzz2n\nyZMna82aNWrQoIH69OljWyQAeAqOBiqDchzd8fsel3RLHndkih3cbZub/D4vLU85GggATFSuiXa/\nfv3Ur1+/i5a/9tprFQ4CAE/F0UAAAADeoUIXQwMAlB5HAwEAAHgHJtoAUEU4GggAAMA7eOxEO2fG\nbG0t7oFmg6u4BAAAAADgTXxcHQAAAAAAgCdhog0AAAAAgI2YaAMAAAAAYCMm2gAAAAAA2MhjL4YG\nAPAuxV4EkwtgAgAAF2CPNgAAAAAANmKPNmzDLdUAAAAAgIk2AOA3+MAMAACg4jh0HAAAAAAAG7FH\nG4BLsOcUAAAAnoo92gAAAAAA2IiJNgAAAAAANmKiDQAAAACAjZhoAwAAAABgIybaAAAAAADYiIk2\nAAAAAAA24vZeACpV3zWjil0eXcUdAAAAQFVhjzYAAAAAADZiog0AAAAAgI2YaAMAAAAAYCMm2gAA\nAAAA2IiLoQEAAK+SM2O2thb3QLPBVVwCAPBU7NEGAAAAAMBGFZpof/fdd4qIiNCbb74pSfr55581\ncOBARUVFKTo6Wrm5ubZEAgAAAABginJPtM+ePatnn31WYWFhzmWLFi1SVFSUVq1apauuukoJCQm2\nRAKAp+ADSgAAAM9X7ol2QECAXn75ZYWEhDiXpaamqmvXrpKkLl26aPv27RUvBAAPwQeUAAAA3qHc\nE20/Pz8FBgYWWZadna2AgABJUnBwsDIyMipWBwAehA8oAQAAvIOtVx13OBzOP1uWVaqfSUtLszOh\n3Nylo6xM7ZbMbTe1WzK33dTu3/Pz85OfX9Fhlw8oAQAAPI+tE+3q1asrJydHgYGBSk9PL7LXpiSh\noaGlf4JVhytQZ2NHWZnaLZnbbmq3ZG67G3WbNDEvzweUkvv8Hd2lo6xM7ZbMbTe1WzK33dRuAPAE\ntk60O3XqpKSkJPXu3VubN29WeHi4nasHAI9Tng8oJT6krCg+MCuBqd2Sue1u1M3EHADsU+6J9u7d\nu/X888/ryJEj8vPzU1JSkubOnauJEydqzZo1atCggfr06WNnKwB4HD6gBAAA8Dzlnmi3bt1aK1eu\nvGj5a6+9VqEgAPBUfEAJAADgHWw9dBwAUDI+oAQAAPAO5b69FwAAAAAAuBgTbQAAAAAAbMREGwAA\nAAAAGzHRBgAAAADARky0AQAAAACwERNtAAAAAABsxEQbAAAAAAAbMdEGAAAAAMBGTLQBAAAAALAR\nE20AAAAAAGzERBsAAAAAABsx0QYAAAAAwEZMtAEAAAAAsBETbQAAAAAAbMREGwAAAAAAGzHRBgAA\nAADARky0AQAAAACwERNtAAAAAABsxEQbAAAAAAAbMdEGAAAAAMBGTLQBAAAAALARE20AAAAAAGzE\nRBsAAAAAABsx0QYAAAAAwEZMtAEAAAAAsJGf3SucPXu2du7cKYfDoZiYGLVp08bupwAAj8PYCQAA\n4DlsnWh//vnnOnjwoNasWaP9+/crJiZGa9assfMpAMDjMHYCAAB4FlsPHd++fbsiIiIkSddee61O\nnjyprKwsO58CADwOYycAAIBnsXWi/euvv+qKK65wfl27dm1lZGTY+RQA4HEYOwEAADyLw7Isy66V\nTZ48WZ07d3bumXnooYcUFxenpk2bFvv9aWlpdj01ABQRGhrq6oRSY+wE4C5MGjsBwJ3Zeo52vXr1\n9Ouvvzq//uWXX1SnTp0Sv5/BHAAYOwEAADyNrYeO33rrrUpKSpIkffPNNwoJCVHNmjXtfAoA8DiM\nnQAAAJ7F1j3a7du3V6tWrdS/f385HA5NnTrVztUDgEdi7AQAAPAstp6jDQAAAACAt7P10HEAAAAA\nALwdE20AAAAAAGzERBsAAAAAABsx0QYAAAAAwEa2XnXclU6dOqUvv/xSGRkZkqSQkBCFhoa6/S1y\nTO2WzG03tVsyt92yLO3bt08ZGRlyOByqW7eumjVr5uosyNz3lKndkrntpnZL5rYzdgKAuXynTZs2\nzdURFbV27VrFxsbq3Llzys/P16lTp7Rz504tWrRIV1xxhVq0aOHqxGKZ2i2Z225qt2Rue3JyskaN\nGqVdu3bp4MGD2rt3rzZu3KiXXnpJzZs3V6NGjVyd6LVMfU+Z2i2Z225qt2RuO2MnABjO8gB9+/a1\ncnJyLlqelZVl9evXzwVFpWNqt2WZ225qt2WZ2963b1/r2LFjFy0/evSoW3d7A5PfUyZ2W5a57aZ2\nW5a57YydAGA2jzhHu6CgQPn5+RcttyxLhYWFLigqHVO7JXPbTe2WzG0vLCxUrVq1LloeHBwsy7Jc\nUIQLTH1PmdotmdtuardkbjtjJwCYzSPO0R40aJAeeOABtWnTRrVr15YkZWRkaPfu3Ro7dqyL60pm\nardkbrup3ZK57d26dVPfvn11++23F+lOTk5W3759XVzn3Ux9T5naLZnbbmq3ZG47YycAmM1hecjH\notnZ2dq5c6d+/fVXWZalevXqqW3btqpWrZqr0y7J1G7J3HZTuyVz2w8fPqzU1NQi3bfccovq16/v\n6jSvZ+p7ytRuydx2U7slc9sZOwHAXB4z0S7Jzp071bZtW1dnlJmp3ZK57aZ2S+a2HzlyRA0bNnR1\nBoph6nvK1G7J3HZTuyVz2xk7AcD9ecQ52peSmprq6oRyMbVbMrfd1G7J3PY33njD1QkoganvKVO7\nJXPbTe2WzG1n7AQA9+fxe7Tz8/Pl5+cRp6K7vf379+vaa691dUaZWZYlh8Ph6gzArTB2Vh3GTgAA\nPI9H7NH+8ssvFRkZqbvvvluLFi1SQUGB87GhQ4e6sOzSdu3apWHDhmnSpEnKyMjQsGHDdMstt+j+\n++/Xrl27XJ13STt27Cjy3+eff67o6Gjn1+7qpZdecv557969uvfeexUeHq57771Xu3fvdmHZH9uz\nZ4+WLFkiSfr222/14IMPqlOnTm7/funevbtWrFih3NxcV6fgdxg7qx5jZ9Vj7AQAuIJHTLTnzJmj\nuLg4vf322yooKNDIkSOVl5cnSW59C4znnntOI0eOVMeOHfXII4/okUceUUpKiuLi4jRr1ixX513S\n448/rueee07vvfee3nvvPb3//vs6duyY82t3tXXrVuef58yZo+nTp+tf//qX5s6dq9mzZ7uw7I9N\nmzZNXbt2lSQ9//zzeuaZZ7Rt2zbFx8e7dXudOnVUu3ZtDRw4UEuWLNFPP/3k6iT8L8bOqsfYWfUY\nOwEAruARxwX6+vqqWbNmkqQxY8borbfe0mOPPaYlS5a49WFtfn5+uummmyRJK1eu1O233y5Juu66\n6+Tv7+/KtD+0ceNGxcfHKygoSGPGjFHNmjXVr18/xcXFuTqt1Pz8/NSuXTtJUosWLeTr6+viokvL\ny8vTn//8Z0nn3/OhoaGS5PaHnPr4+KhPnz7q1auXNm/erClTpuiXX37R1VdfreDgYE2dOtXViV6L\nsbPqMXZWPcZOAIAreMREu3HjxpoxY4YmTpyogIAAPfzww87/PXnypKvzSlStWjVt2LBBf/nLX/Ti\niy9Kkk6dOqX3339fNWrUcHHdpdWpU0fPP/+8UlJSNGrUKPXt29etfzG/4Mcff9ScOXMkSZmZmUpO\nTtYdd9yhDRs2uH1/r169FBkZqR49euiqq67S9OnTddNNN+mf//ynOnXq5Oq8El3YM+rr66sePXqo\nR48eys7O1rfffquMjAwX13k3xs6qx9hZ9Rg7AQCu4Dtt2rRpro6oqC5duigzM1MtW7aUj8/5o+Fb\ntWqlsLAw5eXlKSwszMWFxbvtttv01Vdf6cYbb1RQUJCk8+cefvXVV4qJiVFgYKCLC/9Yo0aN1KtX\nL3366ac6dOiQHnzwQVcnXVKtWrUUHBys4OBgtWnTRtddd52uuOIK/fOf/9To0aNVs2ZNVyeWqH37\n9mrfvr0OHDigkydPyrIsnTt3Tvfcc4969+7t6rwS/fLLL+rQoUORZf7+/qpfv77b71HydIydrsPY\nWXUYOwEAruDxVx1PTU3VzTff7OqMMjO1WzK33dRuydx2U7u9gamvjandkrntpnZL5rab2g0A3sQj\nLoZ2KUuXLnV1QrmY2i2Z225qt2Ruu6nd3sDU18bUbsncdlO7JXPbTe0GAG/iEedoR0dHF7vcsizt\n27evimtKz9Ruydx2U7slc9tN7fYGpr42pnZL5rab2i2Z225qNwDgPI+YaGdlZaljx47Oq6BeYFmW\nDh065KKqP2Zqt2Ruu6ndkrntpnZ7A1NfG1O7JXPbTe2WzG03tRsA8L8sD3Dy5Enrqaeess6cOXPR\nYwMGDHBBUemY2m1Z5rab2m1Z5rab2u0NTH1tTO22LHPbTe22LHPbTe0GAJzn8RdDKywsdF5N1ySm\ndkvmtpvaLZnbbmq3NzD1tTG1WzK33dRuydx2U7sBwJt4xKHjeXl5Wrt2rbZt26aMjAw5HA7VrVtX\n4eHhuu+++1ydVyJTuyVz203tlsxtN7XbG5j62pjaLZnbbmq3ZG67qd0AgPM8Yo/2mDFj1KRJE3Xp\n0kXBwcGyLEvp6elKSkrSqVOnNGfOHFcnFsvUbsncdlO7JXPbTe32Bqa+NqZ2S+a2m9otmdtuajcA\n4H9V/dHq9nv44YfL9ZirmdptWea2m9ptWea2m9rtDUx9bUzttixz203ttixz203tBgCc5xEn+Dgc\nDiUlJSkvL8+5LDc3V4mJiQoICHBh2aWZ2i2Z225qt2Ruu6nd3sDU18bUbsncdlO7JXPbTe0GAJzn\nEYeOHz16VAsXLtSOHTuUnZ0tSQoKClJYWJhGjRql+vXru7iweKZ2S+a2m9otmdtuarc3MPW1MbVb\nMrfd1G7J3HZTuwEA53nExdD+/e9/KyUlRWfPnlXnzp01ZcoU1axZU5I0aNAg/f3vf3dxYfFM7ZbM\nbTe1WzK33dRub2Dqa2Nqt2Ruu6ndkrntpnYDAM7ziEPHly9frvfff18pKSkKDQ3VsGHDdPr0aUmS\nO++wN7VbMrfd1G7J3HZTu72Bqa+Nqd2Sue2mdkvmtpvaDQA4zyMm2r6+vrr88svlcDjUt29fjRgx\nQsOGDdPx48flcDhcnVciU7slc9tN7ZbMbTe12xuY+tqY2i2Z225qt2Ruu6ndAIDzPOLQ8fbt2+vR\nRx/VwoULFRgYqIiICFWrVk2DBw/WiRMnXJ1XIlO7JXPbTe2WzG03tdsbmPramNotmdtuardkbrup\n3QCA/+WKS51XhpSUFKuwsLDIstOnT1tr1qxxUVHpmNptWea2m9ptWea2m9rtDUx9bUzttixz203t\ntixz203tBgBYlkdcdRwAAAAAAHfhEedoAwAAAADgLphoAwAAAABgI4+4GBrcU3JyspYShGDsAAAE\nI0lEQVQvXy4fHx9lZ2erUaNGmjFjhv70pz+5Og0A3BLjJgAAnoFztFEpcnNzFR4ersTERIWEhEiS\n4uPjVadOHQ0ZMsTFdQDgfhg3AQDwHOzRRqU4d+6czp49q+zsbOeycePGSZK+/fZbPf/888rPz1de\nXp5iY2N1/fXX64svvtDcuXMVEBCgnJwcTZ06Va1atdLGjRv16quvKigoSJZlKS4uTo0bN1ZCQoLe\nfvttVa9eXcHBwZo5c6Zq1qyp0NBQjRw5Ulu2bFFGRoYWLFig6667TnPnzlVKSooCAgIUEhKiOXPm\nKCAgwFWbCACKYNwEAMCD/P/27icUvjWO4/hHooQmmTLJTpQosxILdjNJx4L8W0wZxEaTspimaEos\nFCsjxULKxl5KUUiUbMbCn40Ymt0sxJSI+d6d+nX7dX/3Ntya3q/dOec5p+d8F9/69JzO83/+8hy5\nbXV11bxerwWDQVtZWbHb21szM3McxxKJhJmZXV9fW1dXl5mZ7e3t2fX1tZmZbW9vWygUMjOzzs5O\ni8fjZmYWj8ft/PzcksmktbW12cvLi5mZzc/PWywWMzOz2tpaOzw8NDOzWCxms7Oz9vT0ZF6v1z4+\nPszMbGdnx5LJ5E+UAQD+GH0TAIDcwIo2vs3Y2Jh6e3t1cnKis7Mz9fX1KRgM6u7uTlNTU1/j0um0\nMpmM3G63FhYW9Pb2pufnZ7lcLklSd3e3IpGI/H6//H6/Ghsbtb+/r/r6epWUlEiSmpqatLW19fXM\n5uZmSVJlZaUSiYRcLpdaW1sVCATk8/nU0dEhj8fzg9UAgH9G3wQAIDcQtPFtXl9fVVZWJsdx5DiO\n2tvbFY1GVVBQoM3Nzb+ND4fDmpmZUUtLiw4ODrS+vi5JCgaDchxHx8fHikaj6u3tldvt/uVeM1Ne\nXt7XcX5+/i/XJGlpaUm3t7c6OjpSIBBQLBZTXV3dd7w6APwn9E0AAHID23vhWxwfH6u/v1/pdPrr\n3MPDg+rq6lRVVaWjoyNJ0t3dnZaXlyVJqVRKNTU1ymQy2t3d1fv7uz4/P7W4uKjS0lJ1dXUpFArp\n4uJCDQ0Nury8/Hr+6empGhsbfzufx8dHbWxsqLq6WsPDw/L5fLq5ufnGCgDAv0PfBAAgd7CijW/R\n2tqq+/t7BYNBFRUVycxUXl6uaDSqVCqlubk5ra2t6ePjQ5FIRJI0OjqqwcFBVVZWamRkROFwWJub\nmyorK9PAwMDX9jbT09PyeDyamJjQ0NCQCgsL5fF4NDk5+dv5VFRU6OrqSj09PSouLpbL5dL4+PiP\n1AIA/gR9EwCA3MH2XgAAAAAAZBGfjgMAAAAAkEUEbQAAAAAAsoigDQAAAABAFhG0AQAAAADIIoI2\nAAAAAABZRNAGAAAAACCLCNoAAAAAAGQRQRsAAAAAgCz6C7kUBSfJddU3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff6d2158630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(231)\n",
    "ax2 = fig.add_subplot(232)\n",
    "ax3 = fig.add_subplot(233)\n",
    "ax4 = fig.add_subplot(234)\n",
    "ax5 = fig.add_subplot(235)\n",
    "df.plot.bar(x='Seasons',y=['TotalGoals','GoalsHome','GoalsOutside','GoalsReceive'],ax=ax1,figsize=(17,10))\n",
    "df1.plot.bar(x='Seasons',y=['TotalGoals','GoalsHome','GoalsOutside','GoalsReceive'],ax=ax2)\n",
    "df2.plot.bar(x='Seasons',y=['TotalGoals','GoalsHome','GoalsOutside','GoalsReceive'],ax=ax3)\n",
    "df3.plot.bar(x='Seasons',y=['TotalGoals','GoalsHome','GoalsOutside','GoalsReceive'],ax=ax4)\n",
    "df4.plot.bar(x='Seasons',y=['TotalGoals','GoalsHome','GoalsOutside','GoalsReceive'],ax=ax5)\n",
    "\n",
    "plt.savefig('Numbergoalsbestteams.jpg', format='jpg', dpi=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ASeasons</th>\n",
       "      <th>BMatch</th>\n",
       "      <th>CTotalGoals</th>\n",
       "      <th>GoalsHome</th>\n",
       "      <th>GoalsOutside</th>\n",
       "      <th>GoalsReceive</th>\n",
       "      <th>RatioE</th>\n",
       "      <th>RatioM</th>\n",
       "      <th>RatioME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.79</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.18</td>\n",
       "      <td>0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ASeasons  BMatch  CTotalGoals  GoalsHome  GoalsOutside  GoalsReceive  RatioE  RatioM  RatioME\n",
       "0    2012.0    38.0         68.0       37.0          31.0          34.0    0.89    1.79     2.00\n",
       "1    2013.0    37.0         52.0       33.0          19.0          51.0    1.38    1.41     1.02\n",
       "2    2014.0    38.0         45.0       22.0          23.0          53.0    1.39    1.18     0.85\n",
       "3    2015.0    38.0         46.0       30.0          16.0          39.0    1.03    1.21     1.18\n",
       "4    2016.0    37.0         49.0       26.0          23.0          45.0    1.22    1.32     1.09\n",
       "5    2017.0    21.0         29.0       17.0          12.0          33.0    1.57    1.38     0.88"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfDortmund= teambehaviours(\"Montpellier\") \n",
    "dfDortmund"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def typeLeague(league):\n",
    "    LS=df_data.loc[(df_data['league'] == league),:]\n",
    "    Seasons =LS.season.unique()\n",
    "    \n",
    "    results=[]\n",
    "    for season in Seasons:\n",
    "        LS=df_data.loc[(df_data['league'] == league) & (df_data['season'] == season),:]\n",
    "        Match= LS.iloc[:,0].unique()\n",
    "        tMatch= Match.shape[0]\n",
    "        i=0\n",
    "        N=0\n",
    "        while (i < LS.shape[0]):\n",
    "            if LS.iloc[i,7]==True:\n",
    "                N+=1\n",
    "            i+=1\n",
    "        item=[int(season),int(N), round(N/tMatch,2)]\n",
    "        results.append(item)\n",
    "    results= np.array(results)\n",
    "    dfresults = pd.DataFrame({'Seasons':results[:,0],'NMatch':results[:,1],'Ratio':results[:,2]})\n",
    "    \n",
    "    return dfresults\n",
    "        \n",
    "        \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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/frxjrQDQk6hHsDkSAwCxaW5u1qRJkyIf//V1hH/9RVE69zrChoYG+f1+lZSU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\ntmvXLj399NPy+/0KhUIqKiryKCUAAABMiVmwx4w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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff6d0ca7550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df= typeLeague(\"La Liga\")\n",
    "df1= typeLeague(\"Serie A\")\n",
    "df2= typeLeague(\"League One\")\n",
    "df3= typeLeague(\"Premier League\")\n",
    "df4= typeLeague(\"Bundesliga\")\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(231)\n",
    "ax2 = fig.add_subplot(232)\n",
    "ax3 = fig.add_subplot(233)\n",
    "ax4 = fig.add_subplot(234)\n",
    "ax5 = fig.add_subplot(235)\n",
    "df.plot(kind='bar',x='Seasons',y='Ratio',color='blue',ax=ax1,figsize=(17,10))\n",
    "df1.plot(kind='bar',x='Seasons',y='Ratio',color='blue',ax=ax2)\n",
    "df2.plot(kind='bar',x='Seasons',y='Ratio',color='blue',ax=ax3)\n",
    "df3.plot(kind='bar',x='Seasons',y='Ratio',color='blue',ax=ax4)\n",
    "df4.plot(kind='bar',x='Seasons',y='Ratio',color='blue',ax=ax5)\n",
    "plt.savefig('Numbergoalsperseason.jpg', format='jpg', dpi=1000, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}