F2-Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load xgboost_model_with_counter.pkl\n",
    "\n",
    "import pickle\n",
    "import xgboost as xgb\n",
    "import numpy as np\n",
    "\n",
    "# load model\n",
    "xgb_model = pickle.load(open(\"xgboost_model_normal.pkl\", \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load features_with_label_df_with_counter.pkl \n",
    "features_with_label_df_with_counter = pickle.load(open(\"features_with_label_df.pkl\", \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>minutes</th>\n",
       "      <th>score_difference</th>\n",
       "      <th>distance_to_goal</th>\n",
       "      <th>angle_to_goal</th>\n",
       "      <th>foul_count_player</th>\n",
       "      <th>foul_count_team</th>\n",
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       "                                      minutes  score_difference  \\\n",
       "id                                                                \n",
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       "b9948ea0-9079-4d01-bdc7-8022567fe66a       34                -2   \n",
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       "183de912-efda-4e99-9033-7c9ed5d4ed9c       63                -2   \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4       65                -2   \n",
       "\n",
       "                                      distance_to_goal  angle_to_goal  \\\n",
       "id                                                                      \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb         54.176009       0.284385   \n",
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       "\n",
       "                                      foul_count_player  foul_count_team  \\\n",
       "id                                                                         \n",
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       "\n",
       "                                      vaep_offensive  label  \n",
       "id                                                           \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb        0.000222      0  \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a        0.001036      0  \n",
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      ]
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_with_label_df_with_counter.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "# for each row in features_with_label_df_with_counter, predict probability from model\n",
    "\n",
    "# create a new column in features_with_label_df_with_counter called 'probability'\n",
    "features_with_label_df_with_counter['probability'] = 0.0\n",
    "\n",
    "# use columns: 'minutes', 'score_difference', 'distance_to_goal', 'angle_to_goal', 'foul_count_player', 'foul_count_team', 'vaep_offensive', 'teammate_count', 'opponent_count' as features\n",
    "features = ['minutes', 'score_difference', 'distance_to_goal', 'angle_to_goal', 'foul_count_player', 'foul_count_team', 'vaep_offensive']\n",
    "\n",
    "# for each row in features_with_label_df_with_counter, predict probability from model\n",
    "\n",
    "iddd = 0\n",
    "for index, row in features_with_label_df_with_counter.iterrows():\n",
    "    print(iddd, end=' ')\n",
    "    iddd += 1\n",
    "    # get features\n",
    "    x = row[features].values\n",
    "    # reshape\n",
    "    x = x.reshape(1, -1)\n",
    "    \n",
    "    # predict probability\n",
    "    y = xgb_model.predict_proba(x)\n",
    "    # update probability column\n",
    "    features_with_label_df_with_counter.at[index, 'probability'] = y[0][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load event_match_dict from event_match_dict.pkl. event_match_dict is a dictionary with key = event_id, value = match_id\n",
    "event_match_dict = pickle.load(open(\"event_match_dict.pkl\", \"rb\"))\n",
    "\n",
    "features_with_label_df_with_counter['match_id'] = features_with_label_df_with_counter.index.map(lambda x: event_match_dict.get(x, None))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save features_with_label_df_with_counter to features_with_label_df_with_match_id.pkl\n",
    "# pickle.dump(features_with_label_df_with_counter, open(\"features_with_label_df_with_match_id.pkl\", \"wb\"))\n",
    "\n",
    "# load features_with_label_df_with_match_id.pkl\n",
    "features_with_label_df_with_match_id = pickle.load(open(\"features_with_label_df_with_match_id.pkl\", \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>minutes</th>\n",
       "      <th>score_difference</th>\n",
       "      <th>distance_to_goal</th>\n",
       "      <th>angle_to_goal</th>\n",
       "      <th>foul_count_player</th>\n",
       "      <th>foul_count_team</th>\n",
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      "text/plain": [
       "                                      minutes  score_difference  \\\n",
       "id                                                                \n",
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       "\n",
       "                                      distance_to_goal  angle_to_goal  \\\n",
       "id                                                                      \n",
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       "\n",
       "                                      foul_count_player  foul_count_team  \\\n",
       "id                                                                         \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb                  1                1   \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a                  1                2   \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b                  1                1   \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c                  1                3   \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4                  2                4   \n",
       "\n",
       "                                      vaep_offensive  label  probability  \\\n",
       "id                                                                         \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb        0.000222      0     0.001017   \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a        0.001036      0     0.083545   \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b       -0.000487      1     0.962489   \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c        0.000877      0     0.006209   \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4        0.000773      0     0.030138   \n",
       "\n",
       "                                      match_id  \n",
       "id                                              \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb   3890561  \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a   3890561  \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b   3890561  \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c   3890561  \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4   3890561  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_with_label_df_with_match_id.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a new df from features_with_label_df_with_counter with columns: 'match_id', 'label', 'probability'. keep the same index\n",
    "df = features_with_label_df_with_match_id[['match_id', 'label', 'probability']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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19645 19646 19647 19648 19649 19650 19651 19652 19653 19654 19655 19656 19657 19658 19659 19660 19661 19662 19663 "
     ]
    }
   ],
   "source": [
    "from statsbombpy import sb\n",
    "# add columns 'team_id', 'team', 'player', 'player_id' to df\n",
    "df.loc[:, 'team_id'] = None\n",
    "df.loc[:, 'team'] = None\n",
    "df.loc[:, 'player'] = None\n",
    "df.loc[:, 'player_id'] = None\n",
    "\n",
    "iddddd = 0\n",
    "for index, row in df.iterrows():\n",
    "    print(iddddd, end=' ')\n",
    "    iddddd += 1\n",
    "    # make match_id a int\n",
    "    match_id = int(row['match_id'])\n",
    "    event = sb.events(match_id=match_id)\n",
    "\n",
    "    # get the event where index matches the 'id' column of the row\n",
    "    event = event[event['id'] == index]\n",
    "\n",
    "    # get 'team_id', 'team', 'player', 'player_id'\n",
    "    team_id = event['team_id']\n",
    "    team = event['team']\n",
    "    player = event['player']\n",
    "    player_id = event['player_id']\n",
    "\n",
    "    # add team_id, team, player, player_id to df\n",
    "    df.at[index, 'team_id'] = team_id\n",
    "    df.at[index, 'team'] = team\n",
    "    df.at[index, 'player'] = player\n",
    "    df.at[index, 'player_id'] = player_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# in df, change 'team_id', 'player_id' to int\n",
    "df['team_id'] = df['team_id'].astype(int)\n",
    "df['player_id'] = df['player_id'].astype(int)\n",
    "\n",
    "# save df to df.pkl\n",
    "pickle.dump(df, open(\"df.pkl\", \"wb\"))\n",
    "\n",
    "# load df.pkl\n",
    "# df = pickle.load(open(\"df.pkl\", \"rb\"))\n",
    "\n",
    "# In df, group all player_id. For each player_id, get the sum of 'label' and the sum of 'probability'. Make player_id the index. Keep player column\n",
    "players = df.groupby('player_id').agg({'label': 'sum', 'probability': 'sum', 'player': 'first'})\n",
    "\n",
    "teams = df.groupby('team_id').agg({'label': 'sum', 'probability': 'sum', 'team': 'first'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>label</th>\n",
       "      <th>probability</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team</th>\n",
       "      <th>player</th>\n",
       "      <th>player_id</th>\n",
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       "Name: team, dtype: object</td>\n",
       "      <td>3632    Leroy Sané\n",
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       "</div>"
      ],
      "text/plain": [
       "                                      match_id  label  probability  team_id  \\\n",
       "id                                                                            \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb   3890561      0     0.001017      181   \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a   3890561      0     0.083545      181   \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b   3890561      1     0.962489      175   \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c   3890561      0     0.006209      181   \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4   3890561      0     0.030138      181   \n",
       "\n",
       "                                                                              team  \\\n",
       "id                                                                                   \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb  3632    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a  3644    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b  3653    Hoffenheim\n",
       "Name: team, dtype: object   \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c  3654    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4  3656    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "\n",
       "                                                                                 player  \\\n",
       "id                                                                                        \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb     3632    Leroy Sané\n",
       "Name: player, dtype: object   \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a  3644    Jean-Eric Maxim Choupo-Moting\n",
       "Name: pl...   \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b  3653    Sebastian Rudy\n",
       "Name: player, dtype: ob...   \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c  3654    Younès Belhanda\n",
       "Name: player, dtype: o...   \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4     3656    Leroy Sané\n",
       "Name: player, dtype: object   \n",
       "\n",
       "                                      player_id  \n",
       "id                                               \n",
       "f1dd3418-5813-4df3-b319-97e1f821a4bb       3053  \n",
       "b9948ea0-9079-4d01-bdc7-8022567fe66a       3499  \n",
       "c1ee4d2c-2ef8-4128-b93a-ee8e666e663b       6039  \n",
       "183de912-efda-4e99-9033-7c9ed5d4ed9c       5242  \n",
       "66e76aec-d130-4d3a-aea8-960f1bcb37b4       3053  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pickle\n",
    "\n",
    "# load df.pkl\n",
    "df1 = pickle.load(open(\"df.pkl\", \"rb\"))\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>match_count</th>\n",
       "      <th>yellow_card_count</th>\n",
       "      <th>red_card_count</th>\n",
       "      <th>second_yellow_card_count</th>\n",
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       "      <th>0</th>\n",
       "      <td>9</td>\n",
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       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>[3890561, 3890505, 3890511, 3890515, 3890411, ...</td>\n",
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       "      <td>994.0</td>\n",
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       "      <td>16</td>\n",
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       "      <td>Champions League</td>\n",
       "      <td>2018/2019</td>\n",
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       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>[18243]</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>[18242]</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>[18241]</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16</td>\n",
       "      <td>24</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>[18240]</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>[18237]</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>[18236]</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>[18235]</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>16</td>\n",
       "      <td>41</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>[3750201]</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2006/2007</td>\n",
       "      <td>[3750200]</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>16</td>\n",
       "      <td>37</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2004/2005</td>\n",
       "      <td>[2302764]</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>16</td>\n",
       "      <td>44</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>2003/2004</td>\n",
       "      <td>[3752619]</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>277</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>1972/1973</td>\n",
       "      <td>[3888706]</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>16</td>\n",
       "      <td>71</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>1971/1972</td>\n",
       "      <td>[3750235]</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>16</td>\n",
       "      <td>276</td>\n",
       "      <td>Champions League</td>\n",
       "      <td>1970/1971</td>\n",
       "      <td>[3888711]</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>87</td>\n",
       "      <td>84</td>\n",
       "      <td>Copa del Rey</td>\n",
       "      <td>1983/1984</td>\n",
       "      <td>[3750248]</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>87</td>\n",
       "      <td>268</td>\n",
       "      <td>Copa del Rey</td>\n",
       "      <td>1982/1983</td>\n",
       "      <td>[3888721]</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>87</td>\n",
       "      <td>279</td>\n",
       "      <td>Copa del Rey</td>\n",
       "      <td>1977/1978</td>\n",
       "      <td>[3888754]</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1470</td>\n",
       "      <td>274</td>\n",
       "      <td>FIFA U20 World Cup</td>\n",
       "      <td>1979</td>\n",
       "      <td>[3888787]</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>43</td>\n",
       "      <td>106</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>[3857256, 3869151, 3857257, 3857258, 3857288, ...</td>\n",
       "      <td>64</td>\n",
       "      <td>182.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>43</td>\n",
       "      <td>3</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2018</td>\n",
       "      <td>[7585, 7570, 7586, 7557, 7542, 8656, 7554, 755...</td>\n",
       "      <td>64</td>\n",
       "      <td>165.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>43</td>\n",
       "      <td>55</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>1990</td>\n",
       "      <td>[3793185]</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>43</td>\n",
       "      <td>54</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>1986</td>\n",
       "      <td>[3889149, 3889148, 3750191]</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>43</td>\n",
       "      <td>51</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>1974</td>\n",
       "      <td>[3888720, 3888719, 3888718, 3888717, 3888716, ...</td>\n",
       "      <td>6</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>43</td>\n",
       "      <td>272</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>1970</td>\n",
       "      <td>[3889218, 3889217, 3888702, 3888701, 3888700, ...</td>\n",
       "      <td>6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>43</td>\n",
       "      <td>270</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>1962</td>\n",
       "      <td>[3888854]</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>43</td>\n",
       "      <td>269</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>1958</td>\n",
       "      <td>[3888705, 3888704]</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1238</td>\n",
       "      <td>108</td>\n",
       "      <td>Indian Super league</td>\n",
       "      <td>2021/2022</td>\n",
       "      <td>[3827767, 3827335, 3827336, 3827338, 3827337, ...</td>\n",
       "      <td>115</td>\n",
       "      <td>323.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>11</td>\n",
       "      <td>90</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>[3773386, 3773565, 3773457, 3773631, 3773665, ...</td>\n",
       "      <td>35</td>\n",
       "      <td>112.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>11</td>\n",
       "      <td>42</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>[303731, 303532, 303516, 303596, 303430, 30372...</td>\n",
       "      <td>33</td>\n",
       "      <td>119.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2018/2019</td>\n",
       "      <td>[15978, 15998, 16029, 16073, 16086, 16190, 161...</td>\n",
       "      <td>34</td>\n",
       "      <td>116.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2017/2018</td>\n",
       "      <td>[9880, 9912, 9924, 9855, 9827, 9799, 9636, 960...</td>\n",
       "      <td>36</td>\n",
       "      <td>115.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2016/2017</td>\n",
       "      <td>[266989, 266357, 267569, 267212, 266669, 26689...</td>\n",
       "      <td>34</td>\n",
       "      <td>128.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>11</td>\n",
       "      <td>27</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>[3825848, 3825895, 3825894, 3825855, 3825908, ...</td>\n",
       "      <td>380</td>\n",
       "      <td>1631.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>[267183, 265835, 266838, 265963, 266117, 26691...</td>\n",
       "      <td>38</td>\n",
       "      <td>139.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>11</td>\n",
       "      <td>25</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>[267368, 70301, 70298, 70302, 70291, 267138, 2...</td>\n",
       "      <td>31</td>\n",
       "      <td>119.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>[266015, 70270, 70281, 70308, 70282, 266724, 7...</td>\n",
       "      <td>32</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>[69328, 69329, 70219, 69331, 69337, 69322, 693...</td>\n",
       "      <td>37</td>\n",
       "      <td>168.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>[69276, 69304, 69307, 69271, 69305, 69278, 692...</td>\n",
       "      <td>33</td>\n",
       "      <td>123.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>[69243, 69241, 69239, 69257, 69253, 69244, 692...</td>\n",
       "      <td>35</td>\n",
       "      <td>150.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>[69225, 69212, 69235, 69232, 69216, 69209, 692...</td>\n",
       "      <td>31</td>\n",
       "      <td>121.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>11</td>\n",
       "      <td>40</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2007/2008</td>\n",
       "      <td>[69151, 69144, 69169, 68360, 69186, 69180, 691...</td>\n",
       "      <td>28</td>\n",
       "      <td>108.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>11</td>\n",
       "      <td>39</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2006/2007</td>\n",
       "      <td>[69176, 69179, 68334, 68333, 68336, 68326, 691...</td>\n",
       "      <td>26</td>\n",
       "      <td>111.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>11</td>\n",
       "      <td>38</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2005/2006</td>\n",
       "      <td>[69164, 68324, 68320, 68323, 69172, 68339, 683...</td>\n",
       "      <td>17</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>2004/2005</td>\n",
       "      <td>[68314, 68313, 68316, 68315, 69153, 68352, 68353]</td>\n",
       "      <td>7</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>11</td>\n",
       "      <td>278</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>1973/1974</td>\n",
       "      <td>[3888713]</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>81</td>\n",
       "      <td>48</td>\n",
       "      <td>Liga Profesional</td>\n",
       "      <td>1997/1998</td>\n",
       "      <td>[3889115]</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>81</td>\n",
       "      <td>275</td>\n",
       "      <td>Liga Profesional</td>\n",
       "      <td>1981</td>\n",
       "      <td>[3889082]</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>[3901178, 3901260, 3829470, 3901259, 3901263, ...</td>\n",
       "      <td>377</td>\n",
       "      <td>1242.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>116</td>\n",
       "      <td>68</td>\n",
       "      <td>North American League</td>\n",
       "      <td>1977</td>\n",
       "      <td>[3750234]</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>[3754058, 3754245, 3754136, 3754037, 3754039, ...</td>\n",
       "      <td>380</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>2003/2004</td>\n",
       "      <td>[3749052, 3749522, 3749246, 3749257, 3749642, ...</td>\n",
       "      <td>38</td>\n",
       "      <td>106.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>[3879863, 3879773, 3879847, 3879862, 3879817, ...</td>\n",
       "      <td>380</td>\n",
       "      <td>1621.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>12</td>\n",
       "      <td>86</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>1986/1987</td>\n",
       "      <td>[3889182]</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>55</td>\n",
       "      <td>43</td>\n",
       "      <td>UEFA Euro</td>\n",
       "      <td>2020</td>\n",
       "      <td>[3795108, 3788769, 3788766, 3795220, 3788761, ...</td>\n",
       "      <td>51</td>\n",
       "      <td>124.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>35</td>\n",
       "      <td>75</td>\n",
       "      <td>UEFA Europa League</td>\n",
       "      <td>1988/1989</td>\n",
       "      <td>[3887188, 3750244, 3750245]</td>\n",
       "      <td>3</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    competition_id  season_id       competition_name season_name  \\\n",
       "0                9         27          1. Bundesliga   2015/2016   \n",
       "1               16          4       Champions League   2018/2019   \n",
       "2               16          1       Champions League   2017/2018   \n",
       "3               16          2       Champions League   2016/2017   \n",
       "4               16         27       Champions League   2015/2016   \n",
       "5               16         26       Champions League   2014/2015   \n",
       "6               16         25       Champions League   2013/2014   \n",
       "7               16         24       Champions League   2012/2013   \n",
       "8               16         23       Champions League   2011/2012   \n",
       "9               16         22       Champions League   2010/2011   \n",
       "10              16         21       Champions League   2009/2010   \n",
       "11              16         41       Champions League   2008/2009   \n",
       "12              16         39       Champions League   2006/2007   \n",
       "13              16         37       Champions League   2004/2005   \n",
       "14              16         44       Champions League   2003/2004   \n",
       "16              16        277       Champions League   1972/1973   \n",
       "17              16         71       Champions League   1971/1972   \n",
       "18              16        276       Champions League   1970/1971   \n",
       "19              87         84           Copa del Rey   1983/1984   \n",
       "20              87        268           Copa del Rey   1982/1983   \n",
       "21              87        279           Copa del Rey   1977/1978   \n",
       "25            1470        274     FIFA U20 World Cup        1979   \n",
       "26              43        106         FIFA World Cup        2022   \n",
       "27              43          3         FIFA World Cup        2018   \n",
       "28              43         55         FIFA World Cup        1990   \n",
       "29              43         54         FIFA World Cup        1986   \n",
       "30              43         51         FIFA World Cup        1974   \n",
       "31              43        272         FIFA World Cup        1970   \n",
       "32              43        270         FIFA World Cup        1962   \n",
       "33              43        269         FIFA World Cup        1958   \n",
       "34            1238        108    Indian Super league   2021/2022   \n",
       "35              11         90                La Liga   2020/2021   \n",
       "36              11         42                La Liga   2019/2020   \n",
       "37              11          4                La Liga   2018/2019   \n",
       "38              11          1                La Liga   2017/2018   \n",
       "39              11          2                La Liga   2016/2017   \n",
       "40              11         27                La Liga   2015/2016   \n",
       "41              11         26                La Liga   2014/2015   \n",
       "42              11         25                La Liga   2013/2014   \n",
       "43              11         24                La Liga   2012/2013   \n",
       "44              11         23                La Liga   2011/2012   \n",
       "45              11         22                La Liga   2010/2011   \n",
       "46              11         21                La Liga   2009/2010   \n",
       "47              11         41                La Liga   2008/2009   \n",
       "48              11         40                La Liga   2007/2008   \n",
       "49              11         39                La Liga   2006/2007   \n",
       "50              11         38                La Liga   2005/2006   \n",
       "51              11         37                La Liga   2004/2005   \n",
       "52              11        278                La Liga   1973/1974   \n",
       "53              81         48       Liga Profesional   1997/1998   \n",
       "54              81        275       Liga Profesional        1981   \n",
       "55               7         27                Ligue 1   2015/2016   \n",
       "56             116         68  North American League        1977   \n",
       "58               2         27         Premier League   2015/2016   \n",
       "59               2         44         Premier League   2003/2004   \n",
       "60              12         27                Serie A   2015/2016   \n",
       "61              12         86                Serie A   1986/1987   \n",
       "62              55         43              UEFA Euro        2020   \n",
       "63              35         75     UEFA Europa League   1988/1989   \n",
       "\n",
       "                                            match_ids  match_count  \\\n",
       "0   [3890561, 3890505, 3890511, 3890515, 3890411, ...          306   \n",
       "1                                             [22912]            1   \n",
       "2                                             [18245]            1   \n",
       "3                                             [18244]            1   \n",
       "4                                             [18243]            1   \n",
       "5                                             [18242]            1   \n",
       "6                                             [18241]            1   \n",
       "7                                             [18240]            1   \n",
       "8                                             [18237]            1   \n",
       "9                                             [18236]            1   \n",
       "10                                            [18235]            1   \n",
       "11                                          [3750201]            1   \n",
       "12                                          [3750200]            1   \n",
       "13                                          [2302764]            1   \n",
       "14                                          [3752619]            1   \n",
       "16                                          [3888706]            1   \n",
       "17                                          [3750235]            1   \n",
       "18                                          [3888711]            1   \n",
       "19                                          [3750248]            1   \n",
       "20                                          [3888721]            1   \n",
       "21                                          [3888754]            1   \n",
       "25                                          [3888787]            1   \n",
       "26  [3857256, 3869151, 3857257, 3857258, 3857288, ...           64   \n",
       "27  [7585, 7570, 7586, 7557, 7542, 8656, 7554, 755...           64   \n",
       "28                                          [3793185]            1   \n",
       "29                        [3889149, 3889148, 3750191]            3   \n",
       "30  [3888720, 3888719, 3888718, 3888717, 3888716, ...            6   \n",
       "31  [3889218, 3889217, 3888702, 3888701, 3888700, ...            6   \n",
       "32                                          [3888854]            1   \n",
       "33                                 [3888705, 3888704]            2   \n",
       "34  [3827767, 3827335, 3827336, 3827338, 3827337, ...          115   \n",
       "35  [3773386, 3773565, 3773457, 3773631, 3773665, ...           35   \n",
       "36  [303731, 303532, 303516, 303596, 303430, 30372...           33   \n",
       "37  [15978, 15998, 16029, 16073, 16086, 16190, 161...           34   \n",
       "38  [9880, 9912, 9924, 9855, 9827, 9799, 9636, 960...           36   \n",
       "39  [266989, 266357, 267569, 267212, 266669, 26689...           34   \n",
       "40  [3825848, 3825895, 3825894, 3825855, 3825908, ...          380   \n",
       "41  [267183, 265835, 266838, 265963, 266117, 26691...           38   \n",
       "42  [267368, 70301, 70298, 70302, 70291, 267138, 2...           31   \n",
       "43  [266015, 70270, 70281, 70308, 70282, 266724, 7...           32   \n",
       "44  [69328, 69329, 70219, 69331, 69337, 69322, 693...           37   \n",
       "45  [69276, 69304, 69307, 69271, 69305, 69278, 692...           33   \n",
       "46  [69243, 69241, 69239, 69257, 69253, 69244, 692...           35   \n",
       "47  [69225, 69212, 69235, 69232, 69216, 69209, 692...           31   \n",
       "48  [69151, 69144, 69169, 68360, 69186, 69180, 691...           28   \n",
       "49  [69176, 69179, 68334, 68333, 68336, 68326, 691...           26   \n",
       "50  [69164, 68324, 68320, 68323, 69172, 68339, 683...           17   \n",
       "51  [68314, 68313, 68316, 68315, 69153, 68352, 68353]            7   \n",
       "52                                          [3888713]            1   \n",
       "53                                          [3889115]            1   \n",
       "54                                          [3889082]            1   \n",
       "55  [3901178, 3901260, 3829470, 3901259, 3901263, ...          377   \n",
       "56                                          [3750234]            1   \n",
       "58  [3754058, 3754245, 3754136, 3754037, 3754039, ...          380   \n",
       "59  [3749052, 3749522, 3749246, 3749257, 3749642, ...           38   \n",
       "60  [3879863, 3879773, 3879847, 3879862, 3879817, ...          380   \n",
       "61                                          [3889182]            1   \n",
       "62  [3795108, 3788769, 3788766, 3795220, 3788761, ...           51   \n",
       "63                        [3887188, 3750244, 3750245]            3   \n",
       "\n",
       "    yellow_card_count  red_card_count  second_yellow_card_count  \n",
       "0               994.0            14.0                      21.0  \n",
       "1                 0.0             0.0                       0.0  \n",
       "2                 1.0             0.0                       0.0  \n",
       "3                 6.0             0.0                       0.0  \n",
       "4                 6.0             0.0                       0.0  \n",
       "5                 3.0             0.0                       0.0  \n",
       "6                 6.0             0.0                       1.0  \n",
       "7                 1.0             0.0                       0.0  \n",
       "8                 4.0             0.0                       0.0  \n",
       "9                 2.0             0.0                       0.0  \n",
       "10                3.0             0.0                       0.0  \n",
       "11                4.0             0.0                       0.0  \n",
       "12                4.0             0.0                       0.0  \n",
       "13                2.0             0.0                       0.0  \n",
       "14                1.0             0.0                       0.0  \n",
       "16                1.0             0.0                       0.0  \n",
       "17                1.0             0.0                       0.0  \n",
       "18                0.0             0.0                       0.0  \n",
       "19                7.0             0.0                       0.0  \n",
       "20                3.0             0.0                       0.0  \n",
       "21                5.0             0.0                       0.0  \n",
       "25                0.0             0.0                       0.0  \n",
       "26              182.0             1.0                       1.0  \n",
       "27              165.0             2.0                       2.0  \n",
       "28                4.0             1.0                       0.0  \n",
       "29                4.0             0.0                       0.0  \n",
       "30               14.0             1.0                       0.0  \n",
       "31                9.0             0.0                       0.0  \n",
       "32                1.0             0.0                       0.0  \n",
       "33                0.0             0.0                       0.0  \n",
       "34              323.0             2.0                       5.0  \n",
       "35              112.0             4.0                       4.0  \n",
       "36              119.0             4.0                       3.0  \n",
       "37              116.0             2.0                       4.0  \n",
       "38              115.0             4.0                       0.0  \n",
       "39              128.0             3.0                       4.0  \n",
       "40             1631.0            27.0                      64.0  \n",
       "41              139.0             4.0                       4.0  \n",
       "42              119.0             2.0                       1.0  \n",
       "43              115.0             0.0                       3.0  \n",
       "44              168.0             0.0                       8.0  \n",
       "45              123.0             3.0                       5.0  \n",
       "46              150.0             6.0                       5.0  \n",
       "47              121.0             6.0                       5.0  \n",
       "48              108.0             3.0                       4.0  \n",
       "49              111.0             7.0                       3.0  \n",
       "50               70.0             2.0                       3.0  \n",
       "51               36.0             0.0                       0.0  \n",
       "52                0.0             0.0                       0.0  \n",
       "53                3.0             0.0                       1.0  \n",
       "54                3.0             0.0                       0.0  \n",
       "55             1242.0            65.0                      38.0  \n",
       "56                3.0             0.0                       0.0  \n",
       "58             1015.0            29.0                      25.0  \n",
       "59              106.0             2.0                       2.0  \n",
       "60             1621.0            28.0                      73.0  \n",
       "61                1.0             0.0                       0.0  \n",
       "62              124.0             5.0                       1.0  \n",
       "63               10.0             0.0                       0.0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from statsbombpy import sb\n",
    "\n",
    "# load cmps.pkl\n",
    "cmps = pickle.load(open(\"cmps.pkl\", \"rb\"))\n",
    "cmps.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['competition_id', 'season_id', 'competition_name', 'season_name',\n",
       "       'match_ids', 'match_count', 'yellow_card_count', 'red_card_count',\n",
       "       'second_yellow_card_count'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmps.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>label</th>\n",
       "      <th>probability</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team</th>\n",
       "      <th>player</th>\n",
       "      <th>player_id</th>\n",
       "      <th>competition_id</th>\n",
       "      <th>season_id</th>\n",
       "      <th>competition_name</th>\n",
       "      <th>season_name</th>\n",
       "      <th>match_count</th>\n",
       "      <th>yellow_card_count</th>\n",
       "      <th>red_card_count</th>\n",
       "      <th>second_yellow_card_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001017</td>\n",
       "      <td>181</td>\n",
       "      <td>3632    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3632    Leroy Sané\n",
       "Name: player, dtype: object</td>\n",
       "      <td>3053</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>306</td>\n",
       "      <td>994.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.083545</td>\n",
       "      <td>181</td>\n",
       "      <td>3644    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3644    Jean-Eric Maxim Choupo-Moting\n",
       "Name: pl...</td>\n",
       "      <td>3499</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>306</td>\n",
       "      <td>994.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3890561</td>\n",
       "      <td>1</td>\n",
       "      <td>0.962489</td>\n",
       "      <td>175</td>\n",
       "      <td>3653    Hoffenheim\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3653    Sebastian Rudy\n",
       "Name: player, dtype: ob...</td>\n",
       "      <td>6039</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>306</td>\n",
       "      <td>994.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.006209</td>\n",
       "      <td>181</td>\n",
       "      <td>3654    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3654    Younès Belhanda\n",
       "Name: player, dtype: o...</td>\n",
       "      <td>5242</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>306</td>\n",
       "      <td>994.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.030138</td>\n",
       "      <td>181</td>\n",
       "      <td>3656    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3656    Leroy Sané\n",
       "Name: player, dtype: object</td>\n",
       "      <td>3053</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>306</td>\n",
       "      <td>994.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  match_id  label  probability  team_id  \\\n",
       "0  3890561      0     0.001017      181   \n",
       "1  3890561      0     0.083545      181   \n",
       "2  3890561      1     0.962489      175   \n",
       "3  3890561      0     0.006209      181   \n",
       "4  3890561      0     0.030138      181   \n",
       "\n",
       "                                           team  \\\n",
       "0  3632    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "1  3644    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "2  3653    Hoffenheim\n",
       "Name: team, dtype: object   \n",
       "3  3654    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "4  3656    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "\n",
       "                                              player  player_id  \\\n",
       "0     3632    Leroy Sané\n",
       "Name: player, dtype: object       3053   \n",
       "1  3644    Jean-Eric Maxim Choupo-Moting\n",
       "Name: pl...       3499   \n",
       "2  3653    Sebastian Rudy\n",
       "Name: player, dtype: ob...       6039   \n",
       "3  3654    Younès Belhanda\n",
       "Name: player, dtype: o...       5242   \n",
       "4     3656    Leroy Sané\n",
       "Name: player, dtype: object       3053   \n",
       "\n",
       "   competition_id  season_id competition_name season_name  match_count  \\\n",
       "0               9         27    1. Bundesliga   2015/2016          306   \n",
       "1               9         27    1. Bundesliga   2015/2016          306   \n",
       "2               9         27    1. Bundesliga   2015/2016          306   \n",
       "3               9         27    1. Bundesliga   2015/2016          306   \n",
       "4               9         27    1. Bundesliga   2015/2016          306   \n",
       "\n",
       "   yellow_card_count  red_card_count  second_yellow_card_count  \n",
       "0              994.0            14.0                      21.0  \n",
       "1              994.0            14.0                      21.0  \n",
       "2              994.0            14.0                      21.0  \n",
       "3              994.0            14.0                      21.0  \n",
       "4              994.0            14.0                      21.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# # Sample DataFrames\n",
    "# cmps_data = {'competition_id': [1, 2, 3],\n",
    "#              'season_id': [101, 102, 103],\n",
    "#              'competition_name': ['Premier League', 'La Liga', 'Serie A'],\n",
    "#              'season_name': ['2021-2022', '2021-2022', '2021-2022'],\n",
    "#              'match_ids': [[101, 102, 103], [201, 202, 203], [301, 302, 303]]}\n",
    "\n",
    "# df1_data = {'match_id': [101, 202, 303, 404]}\n",
    "\n",
    "# cmps = pd.DataFrame(cmps_data)\n",
    "# df1 = pd.DataFrame(df1_data)\n",
    "\n",
    "# Merge dataframes based on match_id\n",
    "merged_df = pd.merge(df1, cmps.explode('match_ids'), how='left', left_on='match_id', right_on='match_ids')\n",
    "\n",
    "# Drop the original match_ids column from the merged dataframe\n",
    "merged_df = merged_df.drop('match_ids', axis=1)\n",
    "\n",
    "# Print the result\n",
    "merged_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>label</th>\n",
       "      <th>probability</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team</th>\n",
       "      <th>player</th>\n",
       "      <th>player_id</th>\n",
       "      <th>competition_id</th>\n",
       "      <th>season_id</th>\n",
       "      <th>competition_name</th>\n",
       "      <th>season_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001017</td>\n",
       "      <td>181</td>\n",
       "      <td>3632    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3632    Leroy Sané\n",
       "Name: player, dtype: object</td>\n",
       "      <td>3053</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.083545</td>\n",
       "      <td>181</td>\n",
       "      <td>3644    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3644    Jean-Eric Maxim Choupo-Moting\n",
       "Name: pl...</td>\n",
       "      <td>3499</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3890561</td>\n",
       "      <td>1</td>\n",
       "      <td>0.962489</td>\n",
       "      <td>175</td>\n",
       "      <td>3653    Hoffenheim\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3653    Sebastian Rudy\n",
       "Name: player, dtype: ob...</td>\n",
       "      <td>6039</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.006209</td>\n",
       "      <td>181</td>\n",
       "      <td>3654    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3654    Younès Belhanda\n",
       "Name: player, dtype: o...</td>\n",
       "      <td>5242</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3890561</td>\n",
       "      <td>0</td>\n",
       "      <td>0.030138</td>\n",
       "      <td>181</td>\n",
       "      <td>3656    Schalke 04\n",
       "Name: team, dtype: object</td>\n",
       "      <td>3656    Leroy Sané\n",
       "Name: player, dtype: object</td>\n",
       "      <td>3053</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>1. Bundesliga</td>\n",
       "      <td>2015/2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  match_id  label  probability  team_id  \\\n",
       "0  3890561      0     0.001017      181   \n",
       "1  3890561      0     0.083545      181   \n",
       "2  3890561      1     0.962489      175   \n",
       "3  3890561      0     0.006209      181   \n",
       "4  3890561      0     0.030138      181   \n",
       "\n",
       "                                           team  \\\n",
       "0  3632    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "1  3644    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "2  3653    Hoffenheim\n",
       "Name: team, dtype: object   \n",
       "3  3654    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "4  3656    Schalke 04\n",
       "Name: team, dtype: object   \n",
       "\n",
       "                                              player  player_id  \\\n",
       "0     3632    Leroy Sané\n",
       "Name: player, dtype: object       3053   \n",
       "1  3644    Jean-Eric Maxim Choupo-Moting\n",
       "Name: pl...       3499   \n",
       "2  3653    Sebastian Rudy\n",
       "Name: player, dtype: ob...       6039   \n",
       "3  3654    Younès Belhanda\n",
       "Name: player, dtype: o...       5242   \n",
       "4     3656    Leroy Sané\n",
       "Name: player, dtype: object       3053   \n",
       "\n",
       "   competition_id  season_id competition_name season_name  \n",
       "0               9         27    1. Bundesliga   2015/2016  \n",
       "1               9         27    1. Bundesliga   2015/2016  \n",
       "2               9         27    1. Bundesliga   2015/2016  \n",
       "3               9         27    1. Bundesliga   2015/2016  \n",
       "4               9         27    1. Bundesliga   2015/2016  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop columns from merged_df match_count\tyellow_card_count\tred_card_count\tsecond_yellow_card_count\n",
    "merged_df = merged_df.drop(['match_count', 'yellow_card_count', 'red_card_count', 'second_yellow_card_count'], axis=1)\n",
    "\n",
    "merged_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save merged_df to players_final.pkl\n",
    "pickle.dump(merged_df, open(\"merged_final.pkl\", \"wb\"))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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