101_Eastern_Europe_abandoned_1st_take.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "22e47012",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4aada085",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/matches.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b50f9881",
   "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>competition</th>\n",
       "      <th>date</th>\n",
       "      <th>score</th>\n",
       "      <th>homeTeam</th>\n",
       "      <th>homeTeamCountry</th>\n",
       "      <th>homeTeamUrl</th>\n",
       "      <th>awayTeam</th>\n",
       "      <th>awayTeamCountry</th>\n",
       "      <th>awayTeamUrl</th>\n",
       "      <th>location</th>\n",
       "      <th>phase</th>\n",
       "      <th>attendance</th>\n",
       "      <th>competitonOriginal</th>\n",
       "      <th>season</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CWC</td>\n",
       "      <td>1966-04-14</td>\n",
       "      <td>1-0</td>\n",
       "      <td>Celtic</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>Celtic_F.C.</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>England</td>\n",
       "      <td>Liverpool_F.C.</td>\n",
       "      <td>Celtic Park, Glasgow</td>\n",
       "      <td>semi-finals</td>\n",
       "      <td>76397.0</td>\n",
       "      <td>1965–66 European Cup Winners' Cup</td>\n",
       "      <td>1965-66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ICFC</td>\n",
       "      <td>1955-06-04</td>\n",
       "      <td>0-5</td>\n",
       "      <td>Basel XI</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Basel</td>\n",
       "      <td>London XI</td>\n",
       "      <td>England</td>\n",
       "      <td>London_XI</td>\n",
       "      <td>St. Jakob Stadium, Basel</td>\n",
       "      <td>group stage</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955–58 Inter-Cities Fairs Cup</td>\n",
       "      <td>1955-58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1955-09-04</td>\n",
       "      <td>3-3</td>\n",
       "      <td>Sporting CP</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Sporting_CP</td>\n",
       "      <td>Partizan</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>FK_Partizan</td>\n",
       "      <td>Estádio Nacional, Lisbon</td>\n",
       "      <td>first round</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>1955–56 European Cup</td>\n",
       "      <td>1955-56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1955-09-07</td>\n",
       "      <td>6-3</td>\n",
       "      <td>Vörös Lobogó</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>MTK_Budapest_FC</td>\n",
       "      <td>Anderlecht</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>R.S.C._Anderlecht</td>\n",
       "      <td>Népstadion, Budapest</td>\n",
       "      <td>first round</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>1955–56 European Cup</td>\n",
       "      <td>1955-56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1955-09-08</td>\n",
       "      <td>0-2</td>\n",
       "      <td>Servette</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Servette_FC</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Real_Madrid_CF</td>\n",
       "      <td>Charmilles Stadium, Geneva</td>\n",
       "      <td>first round</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>1955–56 European Cup</td>\n",
       "      <td>1955-56</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27175</th>\n",
       "      <td>UECL</td>\n",
       "      <td>2024-08-15</td>\n",
       "      <td>v</td>\n",
       "      <td>Zrinjski Mostar</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Botev Plovdiv</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stadion pod Bijelim Brijegom, Mostar</td>\n",
       "      <td>third qualifying round</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2024–25 UEFA Conference League qualifying phas...</td>\n",
       "      <td>2024-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27176</th>\n",
       "      <td>UECL</td>\n",
       "      <td>2024-08-15</td>\n",
       "      <td>v</td>\n",
       "      <td>Baník Ostrava</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Městský stadion, Ostrava</td>\n",
       "      <td>third qualifying round</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2024–25 UEFA Conference League qualifying phas...</td>\n",
       "      <td>2024-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27177</th>\n",
       "      <td>EL</td>\n",
       "      <td>2024-08-15</td>\n",
       "      <td>v</td>\n",
       "      <td>Viktoria Plzeň</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kryvbas Kryvyi Rih</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Doosan Arena, Plzeň</td>\n",
       "      <td>third qualifying round</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2024–25 UEFA Europa League qualifying phase an...</td>\n",
       "      <td>2024-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27178</th>\n",
       "      <td>UCL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Match unplayed</td>\n",
       "      <td>Derry City</td>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>Derry_City_F.C.</td>\n",
       "      <td>Anderlecht</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>R.S.C._Anderlecht</td>\n",
       "      <td>NaN</td>\n",
       "      <td>first round</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1965–66 European Cup</td>\n",
       "      <td>1965-66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27179</th>\n",
       "      <td>EL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cancelled</td>\n",
       "      <td>Maccabi Petah Tikva</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Maccabi_Petah_Tikva_F.C.</td>\n",
       "      <td>Heerenveen</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>SC_Heerenveen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004–05 UEFA Cup first round</td>\n",
       "      <td>2004-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27180 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      competition        date           score             homeTeam  \\\n",
       "0             CWC  1966-04-14             1-0               Celtic   \n",
       "1            ICFC  1955-06-04             0-5             Basel XI   \n",
       "2             UCL  1955-09-04             3-3          Sporting CP   \n",
       "3             UCL  1955-09-07             6-3         Vörös Lobogó   \n",
       "4             UCL  1955-09-08             0-2             Servette   \n",
       "...           ...         ...             ...                  ...   \n",
       "27175        UECL  2024-08-15               v      Zrinjski Mostar   \n",
       "27176        UECL  2024-08-15               v        Baník Ostrava   \n",
       "27177          EL  2024-08-15               v       Viktoria Plzeň   \n",
       "27178         UCL         NaN  Match unplayed           Derry City   \n",
       "27179          EL         NaN       Cancelled  Maccabi Petah Tikva   \n",
       "\n",
       "              homeTeamCountry               homeTeamUrl            awayTeam  \\\n",
       "0                    Scotland               Celtic_F.C.           Liverpool   \n",
       "1                 Switzerland                     Basel           London XI   \n",
       "2                    Portugal               Sporting_CP            Partizan   \n",
       "3                     Hungary           MTK_Budapest_FC          Anderlecht   \n",
       "4                 Switzerland               Servette_FC         Real Madrid   \n",
       "...                       ...                       ...                 ...   \n",
       "27175  Bosnia and Herzegovina                       NaN       Botev Plovdiv   \n",
       "27176          Czech Republic                       NaN          Copenhagen   \n",
       "27177          Czech Republic                       NaN  Kryvbas Kryvyi Rih   \n",
       "27178        Northern Ireland           Derry_City_F.C.          Anderlecht   \n",
       "27179                  Israel  Maccabi_Petah_Tikva_F.C.          Heerenveen   \n",
       "\n",
       "                                awayTeamCountry        awayTeamUrl  \\\n",
       "0                                       England     Liverpool_F.C.   \n",
       "1                                       England          London_XI   \n",
       "2      Socialist Federal Republic of Yugoslavia        FK_Partizan   \n",
       "3                                       Belgium  R.S.C._Anderlecht   \n",
       "4                                         Spain     Real_Madrid_CF   \n",
       "...                                         ...                ...   \n",
       "27175                                  Bulgaria                NaN   \n",
       "27176                                   Denmark                NaN   \n",
       "27177                                   Ukraine                NaN   \n",
       "27178                                   Belgium  R.S.C._Anderlecht   \n",
       "27179                               Netherlands      SC_Heerenveen   \n",
       "\n",
       "                                   location                   phase  \\\n",
       "0                      Celtic Park, Glasgow             semi-finals   \n",
       "1                  St. Jakob Stadium, Basel             group stage   \n",
       "2                  Estádio Nacional, Lisbon             first round   \n",
       "3                      Népstadion, Budapest             first round   \n",
       "4                Charmilles Stadium, Geneva             first round   \n",
       "...                                     ...                     ...   \n",
       "27175  Stadion pod Bijelim Brijegom, Mostar  third qualifying round   \n",
       "27176              Městský stadion, Ostrava  third qualifying round   \n",
       "27177                   Doosan Arena, Plzeň  third qualifying round   \n",
       "27178                                   NaN             first round   \n",
       "27179                                   NaN                     NaN   \n",
       "\n",
       "       attendance                                 competitonOriginal   season  \n",
       "0         76397.0                  1965–66 European Cup Winners' Cup  1965-66  \n",
       "1             NaN                     1955–58 Inter-Cities Fairs Cup  1955-58  \n",
       "2         30000.0                               1955–56 European Cup  1955-56  \n",
       "3         35000.0                               1955–56 European Cup  1955-56  \n",
       "4          7000.0                               1955–56 European Cup  1955-56  \n",
       "...           ...                                                ...      ...  \n",
       "27175         NaN  2024–25 UEFA Conference League qualifying phas...  2024-25  \n",
       "27176         NaN  2024–25 UEFA Conference League qualifying phas...  2024-25  \n",
       "27177         NaN  2024–25 UEFA Europa League qualifying phase an...  2024-25  \n",
       "27178         NaN                               1965–66 European Cup  1965-66  \n",
       "27179         NaN                       2004–05 UEFA Cup first round  2004-05  \n",
       "\n",
       "[27180 rows x 14 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a0050bc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['city'] = df['location'].apply(lambda x: x.split(',')[-1].split('(')[0].strip() if isinstance(x, str) else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3bdbeae1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['date'] = pd.to_datetime(df['date'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eef0e016",
   "metadata": {},
   "outputs": [],
   "source": [
    "def count_same_or_higher_date_comp(group):\n",
    "    group = group.sort_values('date')\n",
    "    group['remaining_comp'] = group['date'].apply(lambda x: (group['date'] > x).sum())\n",
    "    return group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4c1d5037",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_21480\\3916731917.py:1: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  remaining = df.groupby(['season','competition']).apply(count_same_or_higher_date_comp).reset_index(drop=True)\n"
     ]
    }
   ],
   "source": [
    "remaining = df.groupby(['season','competition']).apply(count_same_or_higher_date_comp).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6c64032d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.merge(remaining[['competition','date','remaining_comp']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f839cbb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "dd938975",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[df['season'] == '2024-25', 'remaining_comp'] = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c45e22d8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e426d30f",
   "metadata": {},
   "outputs": [],
   "source": [
    "serious = ['groups','group stage','group a','group b','group c','group d','round of 32','round of 16','quarter-finals','semi-finals','final']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a97cc26e",
   "metadata": {},
   "outputs": [],
   "source": [
    "easternCountries = ['Hungary','Poland','Socialist Federal Republic of Yugoslavia','Romania','Czechoslovakia','Bulgaria','East Germany','Albania','Soviet Union','Commonwealth of Independent States','Slovenia','Estonia','Latvia','Ukraine','Russia','Lithuania','Georgia (country)','Moldova','Croatia','Belarus','Czech Republic','Federal Republic of Yugoslavia','North Macedonia','Armenia','Azerbaijan','Slovakia','Bosnia and Herzegovina','Kazakhstan','Serbia and Montenegro','Serbia','Montenegro','Kosovo']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "11bebe0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "easternGermanClubs = df[df['homeTeamCountry'] == 'East Germany']['homeTeamUrl'].drop_duplicates().to_list() + ['RB_Leipzig','1._FC_Union_Berlin','1._FC_Magdeburg','Hallescher_FC','FC_Rot-Wei%C3%9F_Erfurt']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "50d00d29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['semi-finals',\n",
       " 'group stage',\n",
       " 'first round',\n",
       " 'quarter-finals',\n",
       " 'final',\n",
       " 'preliminary round',\n",
       " 'knockout stage',\n",
       " 'qualifying phase',\n",
       " 'tournament phase',\n",
       " 'second round',\n",
       " nan,\n",
       " 'third round',\n",
       " 'qualifying round',\n",
       " 'groups',\n",
       " 'group d',\n",
       " 'group c',\n",
       " 'group b',\n",
       " 'group a',\n",
       " 'round of 16',\n",
       " 'finals',\n",
       " 'first qualifying round',\n",
       " 'second qualifying round',\n",
       " 'third qualifying round',\n",
       " 'fourth round',\n",
       " 'round of 32',\n",
       " 'play-off round',\n",
       " 'knockout round play-offs']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['phase'].drop_duplicates().to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "35b40f27",
   "metadata": {},
   "outputs": [],
   "source": [
    "east = df[df['homeTeamCountry'].isin(easternCountries) | df['homeTeamUrl'].isin(easternGermanClubs)]\n",
    "east2 =  df[df['homeTeamCountry'].isin(easternCountries) | df['homeTeamUrl'].isin(easternGermanClubs) | df['awayTeamCountry'].isin(easternCountries) | df['awayTeamUrl'].isin(easternGermanClubs)]\n",
    "four = df[df['homeTeamCountry'].isin(['Germany','West Germany','Italy','Spain','England'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1931cc17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "homeTeam\n",
       "Alashkert                 0.0\n",
       "CFR Cluj                  0.0\n",
       "CSKA Sofia                0.0\n",
       "Dinamo Tbilisi            0.0\n",
       "Dinamo Zagreb             0.0\n",
       "Dnipro Dnipropetrovsk     0.0\n",
       "Dynamo Kyiv               0.0\n",
       "Ferencváros               0.0\n",
       "Legia Warsaw              0.0\n",
       "Magdeburg                 0.0\n",
       "OFK Beograd               0.0\n",
       "Partizan                  0.0\n",
       "Rapid București           0.0\n",
       "Red Star Belgrade         0.0\n",
       "Riga                      0.0\n",
       "Rubin Kazan               0.0\n",
       "Ruch Chorzów              0.0\n",
       "Shakhtar Donetsk          0.0\n",
       "Sileks                    0.0\n",
       "Slovan Bratislava         0.0\n",
       "Slovan Liberec            0.0\n",
       "Steaua București          0.0\n",
       "Tiraspol                  0.0\n",
       "Union Berlin              0.0\n",
       "Vojvodina                 0.0\n",
       "Zenit Saint Petersburg    0.0\n",
       "Zorya Luhansk             0.0\n",
       "Ararat-Armenia            1.0\n",
       "Banik Ostrava             1.0\n",
       "Budućnost Podgorica       1.0\n",
       "CSKA Moscow               1.0\n",
       "Celje                     1.0\n",
       "Dinamo București          1.0\n",
       "Dukla Prague              1.0\n",
       "Dynamo Moscow             1.0\n",
       "FC Moscow                 1.0\n",
       "Farul Constanţa           1.0\n",
       "Flora                     1.0\n",
       "Górnik Zabrze             1.0\n",
       "Hajduk Split              1.0\n",
       "Lokomotiv Moscow          1.0\n",
       "Lokomotive Leipzig        1.0\n",
       "Maribor                   1.0\n",
       "Sachsenring Zwickau       1.0\n",
       "Sheriff Tiraspol          1.0\n",
       "Sparta Prague             1.0\n",
       "Spartak KPS Brno          1.0\n",
       "Spartak Moscow            1.0\n",
       "Sredets Sofia             1.0\n",
       "Torpedo Kutaisi           1.0\n",
       "Name: remaining_comp, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east.groupby('homeTeam')['remaining_comp'].min().nsmallest(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "50983d95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Spartak Trnava                  2.0\n",
       "Sparta Prague                   5.0\n",
       "Sparta Praha                    5.0\n",
       "Spartak Hradec Králové          9.0\n",
       "Vítkovice                      13.0\n",
       "Zbrojovka Brno                 13.0\n",
       "Baník Ostrava                  13.0\n",
       "Bohemians Prague               13.0\n",
       "Slovan Bratislava              14.0\n",
       "Dukla Prague                   16.0\n",
       "Slovan UNV Bratislava          16.0\n",
       "Červená Hviezda Bratislava     21.0\n",
       "Viktoria Plzeň                 37.0\n",
       "Slavia Prague                  61.0\n",
       "Mladá Boleslav                 96.0\n",
       "Teplice                       157.0\n",
       "Slovan Liberec                157.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venku = df[(df['awayTeamCountry'].str.contains('Cze',na=False)) & (df['competition'] == 'UCL')].groupby(['awayTeam','season'])['remaining_comp'].min().groupby('awayTeam').first().nsmallest(20)\n",
    "doma = df[(df['homeTeamCountry'].str.contains('Cze',na=False)) & (df['competition'] == 'UCL')].groupby(['homeTeam','season'])['remaining_comp'].min().groupby('homeTeam').first().nsmallest(20)\n",
    "oboje = pd.concat([venku, doma], axis=1)\n",
    "oboje = oboje.min(axis=1)\n",
    "oboje.nsmallest(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "37aec11f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>competition</th>\n",
       "      <th>date</th>\n",
       "      <th>score</th>\n",
       "      <th>homeTeam</th>\n",
       "      <th>homeTeamCountry</th>\n",
       "      <th>homeTeamUrl</th>\n",
       "      <th>awayTeam</th>\n",
       "      <th>awayTeamCountry</th>\n",
       "      <th>awayTeamUrl</th>\n",
       "      <th>location</th>\n",
       "      <th>phase</th>\n",
       "      <th>attendance</th>\n",
       "      <th>competitonOriginal</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>remaining_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>213640</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2007-12-12</td>\n",
       "      <td>0-3</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Sevilla</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Sevilla_FC</td>\n",
       "      <td>Stadion Evžena Rošického, Prague</td>\n",
       "      <td>groups</td>\n",
       "      <td>11689.0</td>\n",
       "      <td>2007–08 UEFA Champions League group stage</td>\n",
       "      <td>2007-08</td>\n",
       "      <td>Prague</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387679</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>1-3</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Inter Milan</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Inter_Milan</td>\n",
       "      <td>Sinobo Stadium, Prague</td>\n",
       "      <td>groups</td>\n",
       "      <td>19370.0</td>\n",
       "      <td>2019–20 UEFA Champions League group stage</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>Prague</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94741</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1996-08-21</td>\n",
       "      <td>0-1</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Grasshopper</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Grasshopper_Club_Z%C3%BCrich</td>\n",
       "      <td>Stadion Evžena Rošického, Prague</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3012.0</td>\n",
       "      <td>1996–97 UEFA Champions League qualifying round</td>\n",
       "      <td>1996-97</td>\n",
       "      <td>Prague</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212784</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2007-11-07</td>\n",
       "      <td>0-0</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>England</td>\n",
       "      <td>Arsenal_F.C.</td>\n",
       "      <td>Stadion Evžena Rošického, Prague</td>\n",
       "      <td>groups</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>2007–08 UEFA Champions League group stage</td>\n",
       "      <td>2007-08</td>\n",
       "      <td>Prague</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386301</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2019-10-23</td>\n",
       "      <td>1-2</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Spain</td>\n",
       "      <td>FC_Barcelona</td>\n",
       "      <td>Sinobo Stadium, Prague</td>\n",
       "      <td>groups</td>\n",
       "      <td>19170.0</td>\n",
       "      <td>2019–20 UEFA Champions League group stage</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>Prague</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385613</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>0-2</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Borussia_Dortmund</td>\n",
       "      <td>Sinobo Stadium, Prague</td>\n",
       "      <td>groups</td>\n",
       "      <td>19370.0</td>\n",
       "      <td>2019–20 UEFA Champions League group stage</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>Prague</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209194</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>2-1</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Steaua București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>FC_Steaua_Bucure%C8%99ti</td>\n",
       "      <td>Stadion Evžena Rošického, Prague</td>\n",
       "      <td>groups</td>\n",
       "      <td>15723.0</td>\n",
       "      <td>2007–08 UEFA Champions League group stage</td>\n",
       "      <td>2007-08</td>\n",
       "      <td>Prague</td>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384347</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2019-08-28</td>\n",
       "      <td>1-0</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CFR Cluj</td>\n",
       "      <td>Romania</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sinobo Stadium, Prague</td>\n",
       "      <td>play-off round</td>\n",
       "      <td>18562.0</td>\n",
       "      <td>2019–20 UEFA Champions League qualifying phase...</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>Prague</td>\n",
       "      <td>119.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219685</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2008-08-27</td>\n",
       "      <td>0-0</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Fiorentina</td>\n",
       "      <td>Italy</td>\n",
       "      <td>ACF_Fiorentina</td>\n",
       "      <td>Synot Tip Arena, Prague</td>\n",
       "      <td>third qualifying round</td>\n",
       "      <td>14943.0</td>\n",
       "      <td>2008–09 UEFA Champions League qualifying rounds</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>Prague</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162835</th>\n",
       "      <td>UCL</td>\n",
       "      <td>2003-08-27</td>\n",
       "      <td>2-0</td>\n",
       "      <td>Slavia Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Slavia_Prague</td>\n",
       "      <td>Celta Vigo</td>\n",
       "      <td>Spain</td>\n",
       "      <td>RC_Celta_de_Vigo</td>\n",
       "      <td>Stadion Evžena Rošického, Prague</td>\n",
       "      <td>third qualifying round</td>\n",
       "      <td>8091.0</td>\n",
       "      <td>2003–04 UEFA Champions League qualifying rounds</td>\n",
       "      <td>2003-04</td>\n",
       "      <td>Prague</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       competition       date score       homeTeam homeTeamCountry  \\\n",
       "213640         UCL 2007-12-12   0-3  Slavia Prague  Czech Republic   \n",
       "387679         UCL 2019-11-27   1-3  Slavia Prague  Czech Republic   \n",
       "94741          UCL 1996-08-21   0-1  Slavia Prague  Czech Republic   \n",
       "212784         UCL 2007-11-07   0-0  Slavia Prague  Czech Republic   \n",
       "386301         UCL 2019-10-23   1-2  Slavia Prague  Czech Republic   \n",
       "385613         UCL 2019-10-02   0-2  Slavia Prague  Czech Republic   \n",
       "209194         UCL 2007-09-19   2-1  Slavia Prague  Czech Republic   \n",
       "384347         UCL 2019-08-28   1-0  Slavia Prague  Czech Republic   \n",
       "219685         UCL 2008-08-27   0-0  Slavia Prague  Czech Republic   \n",
       "162835         UCL 2003-08-27   2-0  Slavia Prague  Czech Republic   \n",
       "\n",
       "             homeTeamUrl           awayTeam awayTeamCountry  \\\n",
       "213640  SK_Slavia_Prague            Sevilla           Spain   \n",
       "387679  SK_Slavia_Prague        Inter Milan           Italy   \n",
       "94741   SK_Slavia_Prague        Grasshopper     Switzerland   \n",
       "212784  SK_Slavia_Prague            Arsenal         England   \n",
       "386301  SK_Slavia_Prague          Barcelona           Spain   \n",
       "385613  SK_Slavia_Prague  Borussia Dortmund         Germany   \n",
       "209194  SK_Slavia_Prague   Steaua București         Romania   \n",
       "384347               NaN           CFR Cluj         Romania   \n",
       "219685  SK_Slavia_Prague         Fiorentina           Italy   \n",
       "162835  SK_Slavia_Prague         Celta Vigo           Spain   \n",
       "\n",
       "                         awayTeamUrl                          location  \\\n",
       "213640                    Sevilla_FC  Stadion Evžena Rošického, Prague   \n",
       "387679                   Inter_Milan            Sinobo Stadium, Prague   \n",
       "94741   Grasshopper_Club_Z%C3%BCrich  Stadion Evžena Rošického, Prague   \n",
       "212784                  Arsenal_F.C.  Stadion Evžena Rošického, Prague   \n",
       "386301                  FC_Barcelona            Sinobo Stadium, Prague   \n",
       "385613             Borussia_Dortmund            Sinobo Stadium, Prague   \n",
       "209194      FC_Steaua_Bucure%C8%99ti  Stadion Evžena Rošického, Prague   \n",
       "384347                           NaN            Sinobo Stadium, Prague   \n",
       "219685                ACF_Fiorentina           Synot Tip Arena, Prague   \n",
       "162835              RC_Celta_de_Vigo  Stadion Evžena Rošického, Prague   \n",
       "\n",
       "                         phase  attendance  \\\n",
       "213640                  groups     11689.0   \n",
       "387679                  groups     19370.0   \n",
       "94741                      NaN      3012.0   \n",
       "212784                  groups     18000.0   \n",
       "386301                  groups     19170.0   \n",
       "385613                  groups     19370.0   \n",
       "209194                  groups     15723.0   \n",
       "384347          play-off round     18562.0   \n",
       "219685  third qualifying round     14943.0   \n",
       "162835  third qualifying round      8091.0   \n",
       "\n",
       "                                       competitonOriginal   season    city  \\\n",
       "213640          2007–08 UEFA Champions League group stage  2007-08  Prague   \n",
       "387679          2019–20 UEFA Champions League group stage  2019-20  Prague   \n",
       "94741      1996–97 UEFA Champions League qualifying round  1996-97  Prague   \n",
       "212784          2007–08 UEFA Champions League group stage  2007-08  Prague   \n",
       "386301          2019–20 UEFA Champions League group stage  2019-20  Prague   \n",
       "385613          2019–20 UEFA Champions League group stage  2019-20  Prague   \n",
       "209194          2007–08 UEFA Champions League group stage  2007-08  Prague   \n",
       "384347  2019–20 UEFA Champions League qualifying phase...  2019-20  Prague   \n",
       "219685    2008–09 UEFA Champions League qualifying rounds  2008-09  Prague   \n",
       "162835    2003–04 UEFA Champions League qualifying rounds  2003-04  Prague   \n",
       "\n",
       "        remaining_comp  \n",
       "213640            29.0  \n",
       "387679            39.0  \n",
       "94741             61.0  \n",
       "212784            61.0  \n",
       "386301            71.0  \n",
       "385613            87.0  \n",
       "209194           109.0  \n",
       "384347           119.0  \n",
       "219685           125.0  \n",
       "162835           125.0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['competition'] == 'UCL') & (df['homeTeam'].str.contains('Slavia',na=False))].sort_values(by='remaining_comp').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "593792ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>competition</th>\n",
       "      <th>date</th>\n",
       "      <th>score</th>\n",
       "      <th>homeTeam</th>\n",
       "      <th>homeTeamCountry</th>\n",
       "      <th>homeTeamUrl</th>\n",
       "      <th>awayTeam</th>\n",
       "      <th>awayTeamCountry</th>\n",
       "      <th>awayTeamUrl</th>\n",
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       "      <th>phase</th>\n",
       "      <th>attendance</th>\n",
       "      <th>competitonOriginal</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>remaining_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1614</th>\n",
       "      <td>ICFC</td>\n",
       "      <td>1963-06-12</td>\n",
       "      <td>1-2</td>\n",
       "      <td>Dinamo Zagreb</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>GNK_Dinamo_Zagreb</td>\n",
       "      <td>Valencia</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Valencia_CF</td>\n",
       "      <td>Stadion Maksimir, Zagreb</td>\n",
       "      <td>final</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>1962–63 Inter-Cities Fairs Cup</td>\n",
       "      <td>1962-63</td>\n",
       "      <td>Zagreb</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3626</th>\n",
       "      <td>ICFC</td>\n",
       "      <td>1968-09-11</td>\n",
       "      <td>0-0</td>\n",
       "      <td>Ferencváros</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>Ferencv%C3%A1rosi_TC</td>\n",
       "      <td>Leeds United</td>\n",
       "      <td>England</td>\n",
       "      <td>Leeds_United_F.C.</td>\n",
       "      <td>Népstadion, Budapest</td>\n",
       "      <td>final</td>\n",
       "      <td>76000.0</td>\n",
       "      <td>1967–68 Inter-Cities Fairs Cup</td>\n",
       "      <td>1967-68</td>\n",
       "      <td>Budapest</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3627</th>\n",
       "      <td>ICFC</td>\n",
       "      <td>1968-09-11</td>\n",
       "      <td>0-0</td>\n",
       "      <td>Ferencváros</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>Ferencv%C3%A1rosi_TC</td>\n",
       "      <td>Leeds United</td>\n",
       "      <td>England</td>\n",
       "      <td>Leeds_United_F.C.</td>\n",
       "      <td>Népstadion, Budapest</td>\n",
       "      <td>final</td>\n",
       "      <td>76000.0</td>\n",
       "      <td>1967–68 Inter-Cities Fairs Cup</td>\n",
       "      <td>1967-68</td>\n",
       "      <td>Budapest</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4159</th>\n",
       "      <td>CWC</td>\n",
       "      <td>1969-05-21</td>\n",
       "      <td>3-2</td>\n",
       "      <td>Slovan Bratislava</td>\n",
       "      <td>Czechoslovakia</td>\n",
       "      <td>%C5%A0K_Slovan_Bratislava</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Spain</td>\n",
       "      <td>FC_Barcelona</td>\n",
       "      <td>St. Jakob Stadium, Basel</td>\n",
       "      <td>final</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>1968–69 European Cup Winners' Cup</td>\n",
       "      <td>1968-69</td>\n",
       "      <td>Basel</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14623</th>\n",
       "      <td>CWC</td>\n",
       "      <td>1974-05-08</td>\n",
       "      <td>2-0</td>\n",
       "      <td>Magdeburg</td>\n",
       "      <td>East Germany</td>\n",
       "      <td>1._FC_Magdeburg</td>\n",
       "      <td>Milan</td>\n",
       "      <td>Italy</td>\n",
       "      <td>A.C._Milan</td>\n",
       "      <td>De Kuip, Rotterdam</td>\n",
       "      <td>final</td>\n",
       "      <td>4641.0</td>\n",
       "      <td>1973–74 European Cup Winners' Cup</td>\n",
       "      <td>1973-74</td>\n",
       "      <td>Rotterdam</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17069</th>\n",
       "      <td>CWC</td>\n",
       "      <td>1975-05-14</td>\n",
       "      <td>3-0</td>\n",
       "      <td>Dynamo Kyiv</td>\n",
       "      <td>Soviet Union</td>\n",
       "      <td>FC_Dynamo_Kyiv</td>\n",
       "      <td>Ferencváros</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>Ferencv%C3%A1rosi_TC</td>\n",
       "      <td>St. Jakob Stadium, Basel</td>\n",
       "      <td>final</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>1974–75 European Cup Winners' Cup</td>\n",
       "      <td>1974-75</td>\n",
       "      <td>Basel</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28907</th>\n",
       "      <td>EL</td>\n",
       "      <td>1979-05-09</td>\n",
       "      <td>1-1</td>\n",
       "      <td>Red Star Belgrade</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>Red_Star_Belgrade</td>\n",
       "      <td>Borussia Mönchengladbach</td>\n",
       "      <td>West Germany</td>\n",
       "      <td>Borussia_M%C3%B6nchengladbach</td>\n",
       "      <td>Red Star Stadium, Belgrade</td>\n",
       "      <td>final</td>\n",
       "      <td>64312.0</td>\n",
       "      <td>1978–79 UEFA Cup</td>\n",
       "      <td>1978-79</td>\n",
       "      <td>Belgrade</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35151</th>\n",
       "      <td>CWC</td>\n",
       "      <td>1981-05-13</td>\n",
       "      <td>2-1</td>\n",
       "      <td>Dinamo Tbilisi</td>\n",
       "      <td>Soviet Union</td>\n",
       "      <td>FC_Dinamo_Tbilisi</td>\n",
       "      <td>FC Carl Zeiss Jena</td>\n",
       "      <td>East Germany</td>\n",
       "      <td>FC_Carl_Zeiss_Jena</td>\n",
       "      <td>Rheinstadion, Düsseldorf</td>\n",
       "      <td>final</td>\n",
       "      <td>4750.0</td>\n",
       "      <td>1980–81 European Cup Winners' Cup</td>\n",
       "      <td>1980-81</td>\n",
       "      <td>Düsseldorf</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48690</th>\n",
       "      <td>EL</td>\n",
       "      <td>1985-05-08</td>\n",
       "      <td>0-3</td>\n",
       "      <td>Videoton</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>Videoton_FC</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Real_Madrid_CF</td>\n",
       "      <td>Sóstói Stadion, Székesfehérvár</td>\n",
       "      <td>final</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>1984–85 UEFA Cup</td>\n",
       "      <td>1984-85</td>\n",
       "      <td>Székesfehérvár</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52207</th>\n",
       "      <td>CWC</td>\n",
       "      <td>1986-05-02</td>\n",
       "      <td>3-0</td>\n",
       "      <td>Dynamo Kyiv</td>\n",
       "      <td>Soviet Union</td>\n",
       "      <td>FC_Dynamo_Kyiv</td>\n",
       "      <td>Atlético Madrid</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Atl%C3%A9tico_Madrid</td>\n",
       "      <td>Stade de Gerland, Lyon</td>\n",
       "      <td>final</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>1985–86 European Cup Winners' Cup</td>\n",
       "      <td>1985-86</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52209</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1986-05-07</td>\n",
       "      <td>0-0 (a.e.t.)</td>\n",
       "      <td>Steaua București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>CSA_Steaua_Bucure%C8%99ti_(football)</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Spain</td>\n",
       "      <td>FC_Barcelona</td>\n",
       "      <td>Estadio Ramón Sánchez Pizjuán, Seville</td>\n",
       "      <td>final</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>1985–86 European Cup</td>\n",
       "      <td>1985-86</td>\n",
       "      <td>Seville</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62779</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1989-05-24</td>\n",
       "      <td>0-4</td>\n",
       "      <td>Steaua București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>CSA_Steaua_Bucure%C8%99ti_(football)</td>\n",
       "      <td>Milan</td>\n",
       "      <td>Italy</td>\n",
       "      <td>AC_Milan</td>\n",
       "      <td>Camp Nou, Barcelona</td>\n",
       "      <td>final</td>\n",
       "      <td>97000.0</td>\n",
       "      <td>1988–89 European Cup</td>\n",
       "      <td>1988-89</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69569</th>\n",
       "      <td>UCL</td>\n",
       "      <td>1991-05-29</td>\n",
       "      <td>0-0 (a.e.t.)</td>\n",
       "      <td>Red Star Belgrade</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>Red_Star_Belgrade</td>\n",
       "      <td>Marseille</td>\n",
       "      <td>France</td>\n",
       "      <td>Olympique_de_Marseille</td>\n",
       "      <td>Stadio San Nicola, Bari</td>\n",
       "      <td>final</td>\n",
       "      <td>51587.0</td>\n",
       "      <td>1990–91 European Cup</td>\n",
       "      <td>1990-91</td>\n",
       "      <td>Bari</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214422</th>\n",
       "      <td>EL</td>\n",
       "      <td>2008-05-14</td>\n",
       "      <td>2-0</td>\n",
       "      <td>Zenit Saint Petersburg</td>\n",
       "      <td>Russia</td>\n",
       "      <td>FC_Zenit_Saint_Petersburg</td>\n",
       "      <td>Rangers</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>Rangers_F.C.</td>\n",
       "      <td>City of Manchester Stadium, Manchester</td>\n",
       "      <td>final</td>\n",
       "      <td>43878.0</td>\n",
       "      <td>2007–08 UEFA Cup knockout stage</td>\n",
       "      <td>2007-08</td>\n",
       "      <td>Manchester</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225872</th>\n",
       "      <td>EL</td>\n",
       "      <td>2009-05-20</td>\n",
       "      <td>2-1 (a.e.t.)</td>\n",
       "      <td>Shakhtar Donetsk</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Shakhtar_Donetsk</td>\n",
       "      <td>Werder Bremen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>SV_Werder_Bremen</td>\n",
       "      <td>Şükrü Saracoğlu Stadium, Istanbul</td>\n",
       "      <td>final</td>\n",
       "      <td>37357.0</td>\n",
       "      <td>2008–09 UEFA Cup knockout stage</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>Istanbul</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313401</th>\n",
       "      <td>EL</td>\n",
       "      <td>2015-05-27</td>\n",
       "      <td>2-3</td>\n",
       "      <td>Dnipro Dnipropetrovsk</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Dnipro</td>\n",
       "      <td>Sevilla</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Sevilla_FC</td>\n",
       "      <td>National Stadium, Warsaw</td>\n",
       "      <td>final</td>\n",
       "      <td>45000.0</td>\n",
       "      <td>2014–15 UEFA Europa League knockout phase</td>\n",
       "      <td>2014-15</td>\n",
       "      <td>Warsaw</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       competition       date         score                homeTeam  \\\n",
       "1614          ICFC 1963-06-12           1-2           Dinamo Zagreb   \n",
       "3626          ICFC 1968-09-11           0-0             Ferencváros   \n",
       "3627          ICFC 1968-09-11           0-0             Ferencváros   \n",
       "4159           CWC 1969-05-21           3-2       Slovan Bratislava   \n",
       "14623          CWC 1974-05-08           2-0               Magdeburg   \n",
       "17069          CWC 1975-05-14           3-0             Dynamo Kyiv   \n",
       "28907           EL 1979-05-09           1-1       Red Star Belgrade   \n",
       "35151          CWC 1981-05-13           2-1          Dinamo Tbilisi   \n",
       "48690           EL 1985-05-08           0-3                Videoton   \n",
       "52207          CWC 1986-05-02           3-0             Dynamo Kyiv   \n",
       "52209          UCL 1986-05-07  0-0 (a.e.t.)        Steaua București   \n",
       "62779          UCL 1989-05-24           0-4        Steaua București   \n",
       "69569          UCL 1991-05-29  0-0 (a.e.t.)       Red Star Belgrade   \n",
       "214422          EL 2008-05-14           2-0  Zenit Saint Petersburg   \n",
       "225872          EL 2009-05-20  2-1 (a.e.t.)        Shakhtar Donetsk   \n",
       "313401          EL 2015-05-27           2-3   Dnipro Dnipropetrovsk   \n",
       "\n",
       "                                 homeTeamCountry  \\\n",
       "1614    Socialist Federal Republic of Yugoslavia   \n",
       "3626                                     Hungary   \n",
       "3627                                     Hungary   \n",
       "4159                              Czechoslovakia   \n",
       "14623                               East Germany   \n",
       "17069                               Soviet Union   \n",
       "28907   Socialist Federal Republic of Yugoslavia   \n",
       "35151                               Soviet Union   \n",
       "48690                                    Hungary   \n",
       "52207                               Soviet Union   \n",
       "52209                                    Romania   \n",
       "62779                                    Romania   \n",
       "69569   Socialist Federal Republic of Yugoslavia   \n",
       "214422                                    Russia   \n",
       "225872                                   Ukraine   \n",
       "313401                                   Ukraine   \n",
       "\n",
       "                                 homeTeamUrl                  awayTeam  \\\n",
       "1614                       GNK_Dinamo_Zagreb                  Valencia   \n",
       "3626                    Ferencv%C3%A1rosi_TC              Leeds United   \n",
       "3627                    Ferencv%C3%A1rosi_TC              Leeds United   \n",
       "4159               %C5%A0K_Slovan_Bratislava                 Barcelona   \n",
       "14623                        1._FC_Magdeburg                     Milan   \n",
       "17069                         FC_Dynamo_Kyiv               Ferencváros   \n",
       "28907                      Red_Star_Belgrade  Borussia Mönchengladbach   \n",
       "35151                      FC_Dinamo_Tbilisi        FC Carl Zeiss Jena   \n",
       "48690                            Videoton_FC               Real Madrid   \n",
       "52207                         FC_Dynamo_Kyiv           Atlético Madrid   \n",
       "52209   CSA_Steaua_Bucure%C8%99ti_(football)                 Barcelona   \n",
       "62779   CSA_Steaua_Bucure%C8%99ti_(football)                     Milan   \n",
       "69569                      Red_Star_Belgrade                 Marseille   \n",
       "214422             FC_Zenit_Saint_Petersburg                   Rangers   \n",
       "225872                   FC_Shakhtar_Donetsk             Werder Bremen   \n",
       "313401                             FC_Dnipro                   Sevilla   \n",
       "\n",
       "       awayTeamCountry                    awayTeamUrl  \\\n",
       "1614             Spain                    Valencia_CF   \n",
       "3626           England              Leeds_United_F.C.   \n",
       "3627           England              Leeds_United_F.C.   \n",
       "4159             Spain                   FC_Barcelona   \n",
       "14623            Italy                     A.C._Milan   \n",
       "17069          Hungary           Ferencv%C3%A1rosi_TC   \n",
       "28907     West Germany  Borussia_M%C3%B6nchengladbach   \n",
       "35151     East Germany             FC_Carl_Zeiss_Jena   \n",
       "48690            Spain                 Real_Madrid_CF   \n",
       "52207            Spain           Atl%C3%A9tico_Madrid   \n",
       "52209            Spain                   FC_Barcelona   \n",
       "62779            Italy                       AC_Milan   \n",
       "69569           France         Olympique_de_Marseille   \n",
       "214422        Scotland                   Rangers_F.C.   \n",
       "225872         Germany               SV_Werder_Bremen   \n",
       "313401           Spain                     Sevilla_FC   \n",
       "\n",
       "                                      location  phase  attendance  \\\n",
       "1614                  Stadion Maksimir, Zagreb  final     40000.0   \n",
       "3626                      Népstadion, Budapest  final     76000.0   \n",
       "3627                      Népstadion, Budapest  final     76000.0   \n",
       "4159                  St. Jakob Stadium, Basel  final     19000.0   \n",
       "14623                       De Kuip, Rotterdam  final      4641.0   \n",
       "17069                 St. Jakob Stadium, Basel  final     13000.0   \n",
       "28907               Red Star Stadium, Belgrade  final     64312.0   \n",
       "35151                 Rheinstadion, Düsseldorf  final      4750.0   \n",
       "48690           Sóstói Stadion, Székesfehérvár  final     35000.0   \n",
       "52207                   Stade de Gerland, Lyon  final     39300.0   \n",
       "52209   Estadio Ramón Sánchez Pizjuán, Seville  final     65000.0   \n",
       "62779                      Camp Nou, Barcelona  final     97000.0   \n",
       "69569                  Stadio San Nicola, Bari  final     51587.0   \n",
       "214422  City of Manchester Stadium, Manchester  final     43878.0   \n",
       "225872       Şükrü Saracoğlu Stadium, Istanbul  final     37357.0   \n",
       "313401                National Stadium, Warsaw  final     45000.0   \n",
       "\n",
       "                               competitonOriginal   season            city  \\\n",
       "1614               1962–63 Inter-Cities Fairs Cup  1962-63          Zagreb   \n",
       "3626               1967–68 Inter-Cities Fairs Cup  1967-68        Budapest   \n",
       "3627               1967–68 Inter-Cities Fairs Cup  1967-68        Budapest   \n",
       "4159            1968–69 European Cup Winners' Cup  1968-69           Basel   \n",
       "14623           1973–74 European Cup Winners' Cup  1973-74       Rotterdam   \n",
       "17069           1974–75 European Cup Winners' Cup  1974-75           Basel   \n",
       "28907                            1978–79 UEFA Cup  1978-79        Belgrade   \n",
       "35151           1980–81 European Cup Winners' Cup  1980-81      Düsseldorf   \n",
       "48690                            1984–85 UEFA Cup  1984-85  Székesfehérvár   \n",
       "52207           1985–86 European Cup Winners' Cup  1985-86            Lyon   \n",
       "52209                        1985–86 European Cup  1985-86         Seville   \n",
       "62779                        1988–89 European Cup  1988-89       Barcelona   \n",
       "69569                        1990–91 European Cup  1990-91            Bari   \n",
       "214422            2007–08 UEFA Cup knockout stage  2007-08      Manchester   \n",
       "225872            2008–09 UEFA Cup knockout stage  2008-09        Istanbul   \n",
       "313401  2014–15 UEFA Europa League knockout phase  2014-15          Warsaw   \n",
       "\n",
       "        remaining_comp  \n",
       "1614               1.0  \n",
       "3626               0.0  \n",
       "3627              41.0  \n",
       "4159               0.0  \n",
       "14623              0.0  \n",
       "17069              0.0  \n",
       "28907              1.0  \n",
       "35151              0.0  \n",
       "48690              1.0  \n",
       "52207              0.0  \n",
       "52209              0.0  \n",
       "62779              0.0  \n",
       "69569              0.0  \n",
       "214422             0.0  \n",
       "225872             0.0  \n",
       "313401             0.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'] == 'final'].tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b1760026",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "location\n",
       "Népstadion, Budapest                               7\n",
       "Arena Națională, Bucharest                         5\n",
       "Luzhniki Stadium, Moscow                           5\n",
       "Vasil Levski National Stadium, Sofia               5\n",
       "Arena Lviv, Lviv                                   4\n",
       "Dinamo Stadium, Minsk                              4\n",
       "Stadionul Steaua, Bucharest                        4\n",
       "Bazaly, Ostrava                                    3\n",
       "Dynamo Stadium, Moscow                             3\n",
       "Kuban Stadium, Krasnodar                           3\n",
       "Lokomotiv Stadium, Moscow                          3\n",
       "NSC Olimpiyskiy Stadium, Kyiv                      3\n",
       "Red Star Stadium, Belgrade                         3\n",
       "Andrův stadion, Olomouc                            2\n",
       "Arena Khimki, Khimki                               2\n",
       "Astana Arena, Astana                               2\n",
       "Borisov Arena, Barysaw                             2\n",
       "Central Dynamo Stadium, Moscow                     2\n",
       "Chornomorets Stadium, Odesa                        2\n",
       "Eduard Streltsov Stadium, Moscow                   2\n",
       "Fáy utcai Stadion, Budapest                        2\n",
       "Groupama Arena, Budapest                           2\n",
       "JNA Stadium, Belgrade                              2\n",
       "Lenin Dinamo Stadium, Tbilisi                      2\n",
       "Ljudski vrt, Maribor                               2\n",
       "Metalist Stadium, Kharkiv                          2\n",
       "Meteor Stadium, Dnipropetrovsk                     2\n",
       "NSC Olimpiyskiy, Kyiv                              2\n",
       "Olympiastadion, Berlin                             2\n",
       "Olympic Stadium, Kyiv                              2\n",
       "Partizan Stadium, Belgrade                         2\n",
       "Petrovsky Stadium, Saint Petersburg                2\n",
       "Puskás Aréna, Budapest                             2\n",
       "Skonto Stadium, Riga                               2\n",
       "St. Jakob Stadium, Basel                           2\n",
       "Stadion Eden, Prague                               2\n",
       "Stadion JNA, Belgrade                              2\n",
       "Stadion Maksimir, Zagreb                           2\n",
       "Stadion Spartak, Varna                             2\n",
       "Stadion Střelnice, Jablonec nad Nisou              2\n",
       "Stadion pod Bijelim Brijegom, Mostar               2\n",
       "Stadionul 23 August, Bucharest                     2\n",
       "Stadionul Ceahlăul, Piatra Neamț                   2\n",
       "Stadionul Central, Craiova                         2\n",
       "Stadionul Dr. Constantin Rădulescu, Cluj-Napoca    2\n",
       "Strahov Stadium, Prague                            2\n",
       "Synot Tip Arena, Prague                            2\n",
       "Tehelné pole, Bratislava                           2\n",
       "Valeriy Lobanovskyi Dynamo Stadium, Kyiv           2\n",
       "Vazgen Sargsyan Republican Stadium, Yerevan        2\n",
       "Name: homeTeamUrl, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'].isin(serious)].groupby('location')['homeTeamUrl'].nunique().nlargest(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "eaa5c0c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "homeTeamCountry\n",
       "Ukraine                                     34\n",
       "Russia                                      32\n",
       "Poland                                      31\n",
       "Czech Republic                              27\n",
       "Romania                                     27\n",
       "Socialist Federal Republic of Yugoslavia    25\n",
       "Soviet Union                                23\n",
       "Hungary                                     21\n",
       "Czechoslovakia                              19\n",
       "Bulgaria                                    18\n",
       "Croatia                                     12\n",
       "East Germany                                12\n",
       "Federal Republic of Yugoslavia               8\n",
       "Slovakia                                     8\n",
       "Serbia                                       7\n",
       "Germany                                      7\n",
       "Azerbaijan                                   6\n",
       "Slovenia                                     5\n",
       "Belarus                                      5\n",
       "Lithuania                                    4\n",
       "Georgia (country)                            4\n",
       "Serbia and Montenegro                        3\n",
       "Kazakhstan                                   3\n",
       "Moldova                                      3\n",
       "Latvia                                       3\n",
       "Estonia                                      3\n",
       "Kosovo                                       2\n",
       "North Macedonia                              1\n",
       "Armenia                                      1\n",
       "Commonwealth of Independent States           1\n",
       "Bosnia and Herzegovina                       1\n",
       "Albania                                      1\n",
       "Name: location, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'].isin(serious)].groupby('homeTeamCountry')['location'].nunique().nlargest(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ff37e18b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city\n",
       "Moscow              174\n",
       "Prague              135\n",
       "Kyiv                133\n",
       "Bucharest           107\n",
       "Belgrade            104\n",
       "Zagreb               70\n",
       "Saint Petersburg     68\n",
       "Budapest             63\n",
       "Sofia                59\n",
       "Donetsk              49\n",
       "Warsaw               40\n",
       "Baku                 37\n",
       "Leipzig              34\n",
       "Plzeň                34\n",
       "Cluj-Napoca          33\n",
       "Kharkiv              30\n",
       "Krasnodar            29\n",
       "Lviv                 26\n",
       "Bratislava           25\n",
       "Maribor              24\n",
       "Razgrad              23\n",
       "Minsk                22\n",
       "Kazan                21\n",
       "Astana               19\n",
       "Barysaw              19\n",
       "Poznań               18\n",
       "Tiraspol             18\n",
       "Dnipropetrovsk       17\n",
       "Liberec              17\n",
       "Khimki               16\n",
       "Split                15\n",
       "Tbilisi              15\n",
       "Berlin               13\n",
       "Rijeka               13\n",
       "Trnava               13\n",
       "Kraków               10\n",
       "Riga                 10\n",
       "Dresden               9\n",
       "Košice                8\n",
       "Odesa                 8\n",
       "Vilnius               7\n",
       "Yerevan               7\n",
       "Łódź                  7\n",
       "Žilina                7\n",
       "Elbasan               6\n",
       "Magdeburg             6\n",
       "Olomouc               6\n",
       "Ostrava               6\n",
       "Rostov-on-Don         6\n",
       "Székesfehérvár        6\n",
       "Zaporizhzhia          6\n",
       "Chorzów               5\n",
       "Craiova               5\n",
       "Jena                  5\n",
       "Piatra Neamț          5\n",
       "Poltava               5\n",
       "Pristina              5\n",
       "Ramenskoye            5\n",
       "Tallinn               5\n",
       "Brno                  4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'].isin(serious)].groupby('city').size().nlargest(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "518b64dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "location\n",
       "Luzhniki Stadium, Moscow                           69\n",
       "Stadion Maksimir, Zagreb                           59\n",
       "Petrovsky Stadium, Saint Petersburg                49\n",
       "Stadionul Steaua, Bucharest                        42\n",
       "Lokomotiv Stadium, Moscow                          40\n",
       "Partizan Stadium, Belgrade                         39\n",
       "Vasil Levski National Stadium, Sofia               39\n",
       "Arena Națională, Bucharest                         33\n",
       "Metalist Stadium, Kharkiv                          30\n",
       "Olympic Stadium, Kyiv                              29\n",
       "Red Star Stadium, Belgrade                         29\n",
       "Doosan Arena, Plzeň                                28\n",
       "Red Bull Arena, Leipzig                            28\n",
       "Stadionul Dr. Constantin Rădulescu, Cluj-Napoca    28\n",
       "Generali Arena, Prague                             26\n",
       "NSC Olimpiyskiy Stadium, Kyiv                      26\n",
       "Ljudski vrt, Maribor                               24\n",
       "Arena Lviv, Lviv                                   22\n",
       "Stadion Letná, Prague                              21\n",
       "Donbass Arena, Donetsk                             20\n",
       "Letná Stadium, Prague                              20\n",
       "Tofiq Bahramov Republican Stadium, Baku            20\n",
       "Astana Arena, Astana                               19\n",
       "Borisov Arena, Barysaw                             19\n",
       "Dinamo Stadium, Minsk                              19\n",
       "RSC Olimpiyskiy, Donetsk                           19\n",
       "Central Stadium, Kazan                             18\n",
       "Krestovsky Stadium, Saint Petersburg               18\n",
       "Olimpiyskiy NSC, Kyiv                              18\n",
       "Tehelné pole, Bratislava                           18\n",
       "RZD Arena, Moscow                                  17\n",
       "Stadion u Nisy, Liberec                            17\n",
       "Arena Khimki, Khimki                               16\n",
       "Krasnodar Stadium, Krasnodar                       16\n",
       "Sheriff Stadium, Tiraspol                          15\n",
       "Sinobo Stadium, Prague                             15\n",
       "Népstadion, Budapest                               14\n",
       "Polish Army Stadium, Warsaw                        14\n",
       "Stadion Wojska Polskiego, Warsaw                   14\n",
       "Huvepharma Arena, Razgrad                          13\n",
       "Kuban Stadium, Krasnodar                           13\n",
       "NSC Olimpiyskiy, Kyiv                              12\n",
       "Stadion Poljud, Split                              12\n",
       "VEB Arena, Moscow                                  12\n",
       "Otkritie Arena, Moscow                             11\n",
       "Stadionul Dinamo, Bucharest                        11\n",
       "Valeriy Lobanovskyi Dynamo Stadium, Kyiv           11\n",
       "Lobanovsky Dynamo Stadium, Kyiv                    10\n",
       "Ludogorets Arena, Razgrad                          10\n",
       "Stadion Evžena Rošického, Prague                   10\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'].isin(serious)].groupby('location').size().nlargest(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6f245243",
   "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>competition</th>\n",
       "      <th>date</th>\n",
       "      <th>score</th>\n",
       "      <th>homeTeam</th>\n",
       "      <th>homeTeamCountry</th>\n",
       "      <th>homeTeamUrl</th>\n",
       "      <th>awayTeam</th>\n",
       "      <th>awayTeamCountry</th>\n",
       "      <th>awayTeamUrl</th>\n",
       "      <th>location</th>\n",
       "      <th>phase</th>\n",
       "      <th>attendance</th>\n",
       "      <th>competitonOriginal</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>remaining_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [competition, date, score, homeTeam, homeTeamCountry, homeTeamUrl, awayTeam, awayTeamCountry, awayTeamUrl, location, phase, attendance, competitonOriginal, season, city, remaining_comp]\n",
       "Index: []"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'] == 'Semi-finals'].tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d458a4aa",
   "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>competition</th>\n",
       "      <th>date</th>\n",
       "      <th>score</th>\n",
       "      <th>homeTeam</th>\n",
       "      <th>homeTeamCountry</th>\n",
       "      <th>homeTeamUrl</th>\n",
       "      <th>awayTeam</th>\n",
       "      <th>awayTeamCountry</th>\n",
       "      <th>awayTeamUrl</th>\n",
       "      <th>location</th>\n",
       "      <th>phase</th>\n",
       "      <th>attendance</th>\n",
       "      <th>competitonOriginal</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>remaining_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [competition, date, score, homeTeam, homeTeamCountry, homeTeamUrl, awayTeam, awayTeamCountry, awayTeamUrl, location, phase, attendance, competitonOriginal, season, city, remaining_comp]\n",
       "Index: []"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['phase'] == 'Quarter-finals'].tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d6dc0506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "competition  phase                   \n",
       "CWC          tournament phase              8\n",
       "EL           final                        55\n",
       "             first qualifying round      524\n",
       "             first round                 626\n",
       "             fourth round                 55\n",
       "             groups                      273\n",
       "             knockout round play-offs     41\n",
       "             play-off round              278\n",
       "             preliminary round           161\n",
       "             qualifying round            179\n",
       "             quarter-finals              180\n",
       "             round of 16                 127\n",
       "             round of 32                 178\n",
       "             second qualifying round     562\n",
       "             second round                360\n",
       "             semi-finals                 112\n",
       "             third qualifying round      366\n",
       "             third round                 238\n",
       "ICFC         final                        11\n",
       "             first round                 173\n",
       "             group stage                  10\n",
       "             knockout stage                4\n",
       "             quarter-finals               37\n",
       "             second round                 91\n",
       "             semi-finals                  27\n",
       "             third round                  41\n",
       "Intertoto    finals                       50\n",
       "             first round                 271\n",
       "             group stage                 152\n",
       "             quarter-finals                4\n",
       "             round of 16                   8\n",
       "             second round                255\n",
       "             semi-finals                  91\n",
       "             third round                 185\n",
       "UCL          final                        25\n",
       "             first qualifying round      236\n",
       "             first round                 282\n",
       "             group a                       8\n",
       "             group b                       8\n",
       "             group c                       8\n",
       "             group d                       8\n",
       "             groups                      154\n",
       "             play-off round              121\n",
       "             preliminary round           156\n",
       "             quarter-finals              141\n",
       "             round of 16                  66\n",
       "             second qualifying round     286\n",
       "             second round                155\n",
       "             semi-finals                  76\n",
       "             third qualifying round      223\n",
       "UECL         final                         2\n",
       "             first qualifying round      151\n",
       "             groups                       79\n",
       "             knockout round play-offs     29\n",
       "             play-off round              102\n",
       "             quarter-finals               15\n",
       "             round of 16                  31\n",
       "             second qualifying round     257\n",
       "             semi-finals                   7\n",
       "             third qualifying round      179\n",
       "Name: homeTeam, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['competition','phase'])['homeTeam'].nunique().head(250).tail(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a2fac371",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "702                         1._FC_N%C3%BCrnberg\n",
       "1518                              Bayern_Munich\n",
       "1564                           FC_Bayern_Munich\n",
       "1762                          Borussia_Dortmund\n",
       "1931                               Hamburger_SV\n",
       "3204                        Eintracht_Frankfurt\n",
       "11460             Borussia_M%C3%B6nchengladbach\n",
       "31913                             VfB_Stuttgart\n",
       "35144                           1._FC_K%C3%B6ln\n",
       "68046                            Dynamo_Dresden\n",
       "68781                           1._FC_Magdeburg\n",
       "69102                       Bayer_04_Leverkusen\n",
       "69627                      1._FC_Kaiserslautern\n",
       "69667     Eisenh%C3%BCttenst%C3%A4dter_FC_Stahl\n",
       "69976                             Hallescher_FC\n",
       "70469                          SV_Werder_Bremen\n",
       "70549                   FC_Rot-Wei%C3%9F_Erfurt\n",
       "73555                               Hannover_96\n",
       "75087                             Karlsruher_SC\n",
       "86985                               SC_Freiburg\n",
       "90631                     TSV_1860_M%C3%BCnchen\n",
       "95373                             FC_Schalke_04\n",
       "99171                              MSV_Duisburg\n",
       "105156                               VfL_Bochum\n",
       "108885                         FC_Hansa_Rostock\n",
       "117259                               Hertha_BSC\n",
       "120365                            VfL_Wolfsburg\n",
       "129524                          TSV_1860_Munich\n",
       "133047                      1.FC_Kaiserslautern\n",
       "145222                       1._FC_Union_Berlin\n",
       "156616                            Werder_Bremen\n",
       "177791                         Alemannia_Aachen\n",
       "182346                          1._FSV_Mainz_05\n",
       "254303                                      NaN\n",
       "324549                              FC_Augsburg\n",
       "351748                      TSG_1899_Hoffenheim\n",
       "352873                               RB_Leipzig\n",
       "Name: homeTeamUrl, dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['homeTeamCountry'] == 'Germany']['homeTeamUrl'].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d60280ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(east[east['phase'] == 'quarter-finals'].groupby('season')['homeTeam'].nunique() / df[df['phase'] == 'quarter-finals'].groupby('season')['homeTeam'].nunique()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ff0e0e12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          CWC\n",
       "1         ICFC\n",
       "2          UCL\n",
       "3          UCL\n",
       "4          UCL\n",
       "          ... \n",
       "447203    UECL\n",
       "447230    UECL\n",
       "447257      EL\n",
       "447268     UCL\n",
       "447269      EL\n",
       "Name: competition, Length: 27224, dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['competition']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "568ef9c8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(east[east['date'].dt.month.isin([1,2,3,4,5,6])].groupby('season')['homeTeam'].nunique() / df[df['date'].dt.month.isin([1,2,3,4,5,6])].groupby('season')['homeTeam'].nunique()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ff8b4e9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(east[(east['date'].dt.month.isin([1,2,3,4,5,6])) & (east['competition'] == 'UCL')].groupby('season')['homeTeam'].nunique() / df[(df['date'].dt.month.isin([1,2,3,4,5,6])) & (df['competition'] == 'UCL')].groupby('season')['homeTeam'].nunique()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ce4e1371",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(east[(east['date'].dt.month.isin([1,2,3,4,5,6])) & (east['competition'] == 'EL')].groupby('season')['homeTeam'].nunique() / df[(df['date'].dt.month.isin([1,2,3,4,5,6])) & (df['competition'] == 'EL')].groupby('season')['homeTeam'].nunique()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2e84645e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(east[(east['phase'].str.lower().str.contains('group',na=False)) & (east['competition'] == 'UCL')].groupby('season').size() / df[(df['phase'].str.lower().str.contains('group',na=False)) & (df['competition'] == 'UCL')].groupby('season').size()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "594dcb34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(east[(east['date'].dt.month.isin([1,2,3,4,5,6])) & (east['competition'] == 'EL')].groupby('season')['homeTeam'].nunique() / df[(df['date'].dt.month.isin([1,2,3,4,5,6])) & (df['competition'] == 'EL')].groupby('season')['homeTeam'].nunique()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "32fc1bcd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='season'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SpLI2M3OV13bZZZfYZZddYvHixWVtnnTSSXHooYfG+PHj4+WXX47f/OY3cdxxx8XDDz8cVVVVcfPNN8dFF11U1uaxxx4bRxxxRDzyyCPRunXruPLKK+OQQw6J6urqiIh4+OGHY8CAAWVtXnjhhTFq1Ki44447YsSIEdGtW7colUqxYMGCmDRpUrz44osxceLEsvUGDx4c06ZNi29+85srvV4qlT72n/ea2HrrreOee+6JwYMHN7j9gAMOiKVLl8ahhx5a1l5ExMCBA+Nvf/tbDBo0KCIiXnrppQbXn3766ejbt2/Zux07dozrr78+rr766vjc5z4XZ511VpRKpbJ3/tXyv5OZGdOmTYutt966/tqTTz4ZG2+8cVl7ZpAZtLYqYQ6ZQcuYQWvODDKD1lalzCEzyAxaG2aQGVQO63oOVcJMqJR5cOGFF0ZdXd0qr3/2s5+NpUuXlrV59NFHx3333bfSawceeGBERFx++eVlbf74xz+Odu3arfL63Llz46ijjiprc7nDDz88Pve5z8XBBx8cH374YaM0IiLuueeeBu/X1tY2eH/OnDlx5JFHlrXZsmXL+L//+7+444474rbbbovq6upYunRp1NbWxrBhw+Kggw762D/3NXHwwQdHnz594uGHH46hQ4fGkCFDYtCgQXH++efHu+++G5dffnnZ/51y7LHHRlVVVfzmN7+Jurq6OOyww+KHP/xh/fUddtghrrvuurI2hw8fHk888URMmDAhpkyZEgsWLIiIiO7du8dXvvKVGDt2bNn/HWYeLNOY8yDCTCjnTDj00EOjTZs2H/sxHTt2LFsvwgwyg9ZepcygiIhSlvu/KtcDywfc7NmzG/2bnsMPPzx+9rOfRYcOHcr6ef+dBx54oMGQe+qpp+qH3J577tko//E+YcKE+iH3xS9+MX74wx9G69atIyJi1qxZsWTJkhg4cGBZm3PmzFnpkBsyZEjZh9yCBQuirq4u+vTpU7bP+e/ccsstcd9998VPfvKTlV6//vrr4/LLL1/hG4a18eCDD0a7du0a/B8S/+qyyy6LpUuXxre//e2yNT9q1qxZcfDBB8fUqVPjiSeeiM0226zsjb/85S8N3q+trW3wfw789Kc/jffffz9OOumksrfNIDNoTVXCHDKDljGD1o4ZZAatjUqYQ2ZQ4zKDzKC1UQkzKKJp5lClzIRKmAesO0uXLo233347Onbs2Og/KAOs/8wEoCmtixlUyKU4sP7zTRbQlMwgoKmZQ0BTMoNoLl588cVYsGBBlEql6Nat2zr5wZlKaFbCGTUBgI+qauoHAKtj1qxZcdddd8Vzzz1XyF4lNZ9//vmYOnVqPP/88+usWSl/tk3ZLPo/T4qjqqoqOnXq5P8EZr23ZMmSBu//9a9/jSlTpnzsy3dpNo9mVVVVPPPMM/Hwww83WrOpz6jZ/JsRy14q7+GHH46pU6fG66+/3qgtzXXXfPTRR+ODDz5YJ98LVdqf7bpqNsUZX3zxxXj44Yfjr3/9a7z44ouN2vrJT34SvXr1iv79+8eQIUNip512iv79+0evXr1i/Pjxms2kp1m85sd57LHH6n+dg6am5vrRK1rz9ttvjyOOOCJOPvnkmDlzZoNrb731Vuy6666N2nz66ac1m3kzGu23lTeBP/3pT/nBBx/Uv3/ttdfmZz/72Wzbtm1++tOfzp/+9Keazah53nnn5V133ZWZmW+++WbuuuuuWSqVslQqZVVVVX7pS1/Kt956q9F6u+22W6P2NIvfbOy/sytrVsqf7bpotm/fPr/1rW/lgw8+WNbPW+nNSjijpmY5vPDCC7nttttmdXV1fvnLX85Fixbl7rvvXj/7+vfvn88880whmttss80qm/369Vvn52yKZrn/bCvhjOtrs7H+bD/u66QxzpmZeemll2bv3r2zqqqqwduwYcNy6tSpZe9pamqun73MzIsuuih79uyZVVVVDf47rGfPnvmTn/yk7L1x48Zlx44d8/zzz8/p06fnvHnz8pVXXsnp06fn+eefn506dcof/ehHmut5T7N4zX9nxowZWSqVNDU116NekZrXXnttVldX56hRo/Jzn/tctm7dOn/zm9/UX1+wYEFWVVVpan6sQi3Fq6qqcuHChZmZeeONN2Z1dXV+5zvfyWuvvTa/+93vZqtWrfK6667TbCbN3r1752OPPZaZmUcccURus802+eijj+Z7772XM2bMyJ122inHjBnTbHuamprrd7NUKuXmm2+epVIpBw4cmP/93/9dPwcbSyU0K+GMmprlsN9+++Xw4cPztttuy/333z+HDRuWu+yyS7788ss5b968/OIXv5j77LOPpuZ60dMsXvOCCy7I2traHD9+fP785z/PQYMG5bhx4/KPf/xjHnLIIdm2bdt85JFHNDU113GzKc7YFIu3nj175i233LLK6zfffHP26NFDcz3vaRavue+++37s26677lr2BYamZnNrVsIZm6q5zTbb5M9+9rP693/3u99l+/bt88orr8zMxlmiaharmVmwpXipVKr/PyiHDRuWp59+eoPrF1xwQW6//faazaTZqlWrnDNnTmZm9u3bN//yl780uD516tSsra1ttj1NTc31u7l87s2YMSO//e1v5wYbbJAtW7bMr371qzlx4sRcunRpWXuV0qyEM2pqlsOGG26Y06dPz8zMv//971kqlfL++++vvz5t2rTs1q2bpuZ60dMsXrNv3745ceLE+vefeeaZ7NKlS/2rhx133HG5xx57aGpqruNmU5yxKRZvbdq0yaeeemqV15944ols06aN5nre0yxes6amJkeOHJmHHXbYSt/22muvsi8wNDWbW7MSzthUzXbt2uXs2bMb3HbPPfdkhw4dcsKECY2yRNUsVjOzwEvxjTbaKKdNm9bg+jPPPJOdOnXSbCbNAQMG5B/+8IfMzOzXr98KL1k6ffr07NixY7PtaWpqrt/Nf517mZl1dXV53XXX5W677Vb/UoE//OEPNdfznqZmc2126NCh/j8OlixZkjU1NTljxoz667NmzcoOHTpoaq4XPc3iNdu2bZsvvPBC/ftLly7NmpqanDdvXmYueznE9u3ba2pqruNmU5yxKRZvw4cPz4MPPrjBr/Fb7oMPPsiDDjoohw8frrme9zSL19xyyy3rn8G3MtOnTy/7AkNTs7k1K+GMTdWsra3Nhx56aIXb77333mzfvn2edtppmpr/VlX5f0t503rqqafib3/7W7Rp0yaWLl3a4NrSpUtjyZIlms2keeSRR8ZJJ50Uzz33XHz729+O733ve/H8889HRMQLL7wQJ5xwQowYMaLZ9jQ1NdfvZqlUavB+y5Yt48ADD4w///nP8fzzz8dhhx0W11xzjeZ63tPUbK7NzTffPK666qqIiPif//mf6NKlS/z2t7+tv3799dfHgAEDNDXXi55m8ZoDBgyISZMm1b9/zz33RMuWLaN79+4REdG6desVZqOmpmbjN5vijDvssEOcc8458eGHH65w7cMPP4xzzz03dthhh7I2L7744rjrrrtio402in333TfGjh0bRx99dOy7777RrVu3uOeee+LSSy/VXM97msVrDh48OB599NFVXm/VqlX07t1bU7Oim5VwxqZq7rDDDvHHP/5xhduHDx8et912W4wfP76sPc3iNSMiCvdM8aqqqiyVSlkqlXL8+PENrl933XW52WabaTaTZmbmd77znWzRokUOHDgwW7dunVVVVdmyZcusqqrK7bbbLufPn9+se5qamutv86PPDF2Zxnpp8SI3K+GMmprlcMcdd2Tr1q2zZcuW2aZNm7zvvvtywIABuf322+dOO+2U1dXVecMNN2hqrhc9zeI1b7jhhmzRokXuv//+OXr06Gzfvn2ecsop9dd//vOf55AhQzQ1NddxsynO+Le//S27d++en/rUp3KfffbJo446KseOHZv77LNPbrDBBllbW5tPPPFEWZuZmYsXL87LLrssR48enSNGjMgRI0bk6NGjc8KECblo0aKy9yqlWQln1Gy85j//+c985513yv55NTWL1KyEMzZV8957781zzz13ldfvueeePOywwzQ1P1YpM7Nx1u3r3osvvtjg/fbt20eXLl3q3//Vr34VERGjR4/WbAbN5WbOnBl/+MMfYvbs2bF06dKora2NYcOGxe677172n4Buip6mpub62TzrrLPipJNOirZt25b181Z6sxLOqKlZLi+88EI8+uijsd1220WfPn1i4cKFcemll8a7774bo0aNii984QuamutNT7N4zT/+8Y/xm9/8Jurq6uKLX/xiHHnkkfXX3njjjYiIBv9NqKmpuW6aTXHGt99+O37zm9/ElClTYsGCBRER0b179xgyZEgcdNBB0bFjx7L2AACgMRRqKQ4AAAAAFMuoUaPiyiuvjNraWs1m3NPU1NSsxGYlnFFTs7k0C/c7xT9q1KhRMX/+fE3NZtHT1NTUrMRmJZxRU1NTs6mblXBGTU1NzUpsVsIZIyLuu+++eO+99zSbeU9TU1OzEpuVcEZNzebSLPxSvKj/4DSL2dPU1NSsxGYlnFFTU1OzqZuVcEZNTU3NSmxWwhkBAKAcCr8UBwAAAACarz59+kSLFi00m3lPU1NTsxKblXBGTc3m0qxp1M++HijqPzjNYvY0NTU1K7FZCWfU1NTUbOpmJZxRU1NTsxKblXDGiIgnnnhinfYqpVkJZ9TU1NRs6mYlnFFTs7k0S5mZjV4BAAAAAPiEZs2aFZMnT44FCxZEqVSKbt26xdChQ2PTTTdd54/lnXfeiWnTpsXnP//5dd4utyVLlkR1dXX9+w8//HDU1dXFkCFD1tkPOxx++OFxzjnnRI8ePdZJ76233ornnnsuamtro2fPnmX//NOmTYvBgweX/fP+O6+++mo8+eSTMXjw4OjYsWMsXLgw/ud//ieWLl0ao0aNii233LJRurNnz44HHngg5s+fH9XV1dGvX7/YY489omPHjo3SizAPGpOZUP6Z8K/+/ve/x+9+97uYO3du9OnTJ77+9a9Hp06dytowg8yg5mxdz6DCL8XX5YCLMOQaw7oecgZc4/FNlhm0NiplBkWYQ43FDDKD1oYZZAaVQ1PPITNo7ZlBZlBz1tQzKGLdzqGizoRKmAeLFi2K0aNHx2233RadOnWKjTbaKDIzXnvttVi8eHHsueee8atf/apRZ9FHPfbYY7HtttvGkiVLyvY5P/jggzjttNPi5ptvjg022CCOPvroOPzww+uvL1y4MHr06FG25vz58+PrX/96TJkyJYYNGxa33nprHHLIITFx4sSIiNh0003j3nvvjdra2rL0IiL+9re/rfT27bbbLv73f/83+vfvHxERW221Vdma3//+9+MHP/hBtG3bNj744IM49thj45e//GVkZpRKpdh7773juuuui9atW5etWVVVFf369YsxY8bEoYceGhtvvHHZPveq3HvvvfGVr3wl3n333ejevXvccccdMWrUqGjTpk1UVVXFnDlz4ve//32MGDGibM133nknDjvssLjpppsiIqJUKsVGG20Ur732WrRp0ybOP//8OPbYY8vWizAPliv3PIgwExprJnzta1+Lgw46KL761a/GU089FcOHD49SqRT9+/ePOXPmRKlUirvvvjsGDRpUll6EGWQGrb1KmUEREZEFcuqpp+Y777yTmZnvv/9+HnnkkVlVVZWlUimrqqpy3333zffee6+szf322y9vuummzMx88skns2vXrrnhhhvmjjvumN26dcvu3bvnU089VdZmqVTK/v375znnnJMvv/xyWT/3qtxzzz3Zrl27LJVKWVtbm4899lj27NkzN9100/zMZz6TrVq1yj/96U9lbf7jH//Ir33ta1kqler/GXbv3j2rq6uzffv2eckll5S19/e//z332muvLJVK2blz5xwwYEBuuumm2blz56yqqsq99947Fy1aVNbmvzNjxoysqqoq6+d8//3386STTspPf/rTuf322+dVV13V4PqCBQvK3pw3b14OGzYsq6ur8/Of/3y++eabOWrUqPp/tgMGDMh58+aVtfnYY4+t9K1FixZ5yy231L9fTmZQ46mEGZRZGXPIDDKD1pYZZAatrUqYQ2aQGbS2zKBlzKA11xRzqBJmQqXMg0MOOSS33HLLnDJlygrXpkyZkltttVWOHj267N2P0xjz4Iwzzshu3brlBRdckKeddlp26tQp/+M//qP++oIFC7JUKpWtd8ghh+TQoUPz97//fR5wwAE5dOjQ3HnnnfPll1/OuXPn5s4775zHHnts2XqZWf93Zvnfn399+9fvE8qpqqoqFy5cmJmZ55xzTm644YZ500035SuvvJK33XZbbrzxxjlu3LiyNkulUh555JHZrVu3rKmpyVGjRuUtt9ySH374YVk7/2rYsGF57LHH5ttvv50XXHBB9uzZs8E/v+9973s5dOjQsjb/4z/+I4cNG5YzZszIp59+Ovfbb788+eST85133slf/vKX2bZt27z22mvL2jQPlin3PMg0ExprJnTt2jWfffbZzMwcOXJkHnTQQVlXV5eZy74PHDNmTI4YMaJsvUwzyAxae5UygzIzC7UUb4pvegy5ZYow5Ay4ZYoy4Crhm6xMM2i5IsygzMqYQ2aQGbS2zCAzaG1Vwhwyg8ygtWUGLWMGrbmmmEOVMBMqZR506tRppbNguYceeig7depU1uanPvWpj33r2LFj2f/ObrLJJnnbbbfVv//cc8/lpptumocddlguXbq07D8kU1tbmw899FBmZr7xxhtZKpXyz3/+c/31u+++O/v371+2XmbmZz/72Rw1alTOnDkz58yZk3PmzMkXXngha2pqctKkSfW3lVOpVKr/nmTrrbfOX/7ylw2u33DDDTlo0KBGaX7wwQd544035pe//OWsrq7Obt265cknn5xPP/10WXuZmR07dsznnnsuMzM/+OCDrKmpyenTp9dff/bZZ8v+ddK1a9ecOnVq/ftvvvlmtm7duv4HIy+55JLceuuty9o0DxpnHmSaCcuVeya0adOm/muztrY2H3300QbXn3nmmbL/nTWDzKC1VSkzKLNgS/Gm+KbHkFumCEPOgCvWgKuEb7IyzaDlijCDMitjDplBZtDaMoPMoLVVCXPIDFrGDFpzZpAZtLaaYg5VwkyopHnw8MMPr/L6lClTyn7Otm3b5ne/+9285pprVvp21llnlf1rs02bNvnCCy80uO2VV17Jz3zmM3nwwQfnK6+8UtZm69atc+7cufXvt2vXLmfNmlX//osvvpht2rQpWy8zs66uLv/f//t/udlmmzX4mqypqcknn3yyrK3lSqVSvvrqq5mZ2aVLl3z88ccbXH/hhReybdu2ZW8u/z5ouZdffjnHjRuX/fv3z6qqqtx5553L2uzatWs+8cQTmZn5zjvvZFVVVf2sz1z2ih1du3Yta7Nz5871P3yUuewHjmpqaur/vJ999tls3bp1WZvmQePMg0wzYblyz4Qdd9wxL7/88szM3GabbfKWW25pcP3OO+/M7t27l62XaQaZQWuvUmZQZgGX4uv6mx5DbpkiDDkDrlgDrhK+yco0g5YrwgzKrIw5ZAaZQWvLDDKD1lYlzCEzaBkzaM2ZQWbQ2mqKOVQJM6FS5sE3v/nN3GqrrfKRRx5Z4dojjzySW2+9dR5yyCFlbQ4dOjTHjx+/yuuN8coR/fr1a/ADKsu98sorOWDAgNx9993L2uzdu3eDOfuf//mf+cYbb9S/P2PGjLL//Vlu4sSJ2bNnzzz33HNzyZIljf49yTnnnJM//elPs0ePHnnfffc1uD5jxoz81Kc+Vdbmv75izsr8+c9/zoMOOqiszb333ju/8pWv5AMPPJD/8R//kdttt12OGjUq//GPf+Q777yTX/va1/JLX/pSWZt77LFHg1enuOCCC7K2trb+/UcffbTsf4fMg8aZB5lmwnLlngl/+MMfcoMNNsirr746r7766uzbt29eeeWV+eCDD+ZVV12VvXr1ypNOOqlsvUwzaDkzaM1V0gwq3FJ8XX/TY8gVZ8gZcMUbcJnF/iYr0wwq0gzKrIw5ZAaZQWvLDFrGDFpzlTSHzCAzaE2ZQcuYQWtvXc6hSpgJlTIP3nrrrfzSl76UpVIpP/WpT+VnPvOZHDhwYH7qU5/KqqqqHDlyZL711ltlbZ5zzjl55plnrvL63Llz87DDDitrc8yYMfmtb31rpddefvnl3GSTTco6D/baa6+PnXmXXHJJ7rrrrmXrfdSCBQty5MiR+bnPfa5RZ0GfPn2yb9++9W8fPfNPfvKT3GmnncraXNkPyDS2Z599NjfZZJMslUq5+eab5yuvvJJ77bVX1tTUZE1NTW644YY5bdq0sjanTZuWG2ywQXbv3j179+6dLVu2zOuvv77++iWXXFL2X3ViHjTOPMg0E5ZrjJlw4403Zs+ePVf4VTKtW7fO448/vuy/ZsUMWsYMWnOVNIMKtRRvigGXacgVZcgZcMUbcMsV+ZusTDOoKDMoszLmkBlkBq0tM2gZM2jNVdocMoPMoDVhBi1jBpXHuppDmcWfCZUyD5Z76qmn8qqrrspzzz03zz333Lzqqqty5syZjdJqCnPmzMk77rhjldfnzZuX11xzzTp7PH/9619XeKWXxvDTn/4099lnn3zppZcavbUyDz300Aq/XmFt3XvvvfnBBx+U9XN+Uq+//nqD9//85z/nbbfdtsLt5TJv3ry8/PLL8+KLL27Uef5RM2fONA/W4TzINBPW1ocffph//etf87e//W1ed911ec899+TixYvL3sk0g9YFM6g4M6iUmRkVYsqUKdGqVavYZpttyv65lyxZEo8++mjMnj07li5dGrW1tTF48ODo0KFD2Vt/+ctfYtiwYVFTU1P2z/3vvPHGG9GlS5f69++666547733YsiQIQ1uL5f58+fHH/7wh6irq4tdd901Nttss7I3Purpp5+Ohx56KBYsWBAREd27d48hQ4bEwIEDG729Lrz44ovx9NNPxxe/+MWVXp8/f37ceeedceihh66zx/TII49EmzZtYosttmjUzs9+9rO455574uKLL46ePXs2amtlzKC1VwkzKKLYc8gMMoPWlhnU+GbOnBlTpkwp5AyKqNw5ZAaVhxnU+MygYs6giHU3h5YsWRLTpk2LF154obAzoVLmAQAAlFNFLcUBAAAAgPVbZsaf//znmDx5cixYsCBKpVJ069Ythg0bFrvttluUSiXNZtDT1Gxsb731Vtx2220xevRoTc1m0ayEMxaxuXTp0qiqqlrp7S+//HL07t1bs5k0C78UnzFjRsyaNStqa2tj2LBh6+RfzJrNs1lXVxdVVVXRokWLiIh4/vnn46qrroq5c+dGnz59YsyYMdGvX7+y9TQ1NTU/6qabboqRI0dG27Zty/p516dmJZxRU7O5NiMiHnvssXj00Udjl112iX79+sWTTz4Zl156aSxdujT23XffVT6zUXP9a1bCGTXXTfMLX/hC9O3bd500IyLuvvvueOCBB2L+/PlRXV0d/fr1i7322is23XTTRulprttm//79Y8899yz8ORu7WfQzvvLKK/GVr3wlHn/88dhiiy2iW7dukZnx6quvxhNPPBGf/exn4/e//31svPHGmutxT1NzXXjsscdi2223jSVLlmhqNotmJZyxSM3FixfHEUccEbfddlt07Ngxxo4dG6effnpUV1dHRMTChQujR48ems2kGRFRqN8pfuCBB9b/Xoa33347R4wYkaVSKVu2bJmlUim32267sv8OMs3iNL/whS/kTTfdlJmZDzzwQLZq1Sq32mqrPOCAA3KbbbbJtm3b5uTJk8vW09TU1PyoUqmUHTp0yCOPPDKnTJlS1s+9vjQr4Yyams21eeONN2Z1dXV26dIlO3TokH/+85+zc+fOufvuu+cXv/jFrK6uzmuvvVazGTQr4YyaxWsuXLgwd9hhhyyVSlldXZ1VVVU5ePDg7N69e1ZXV+dJJ51U1p6mZnNsVsIZMzP32muv3HXXXXPevHkrXJs3b17uuuuuuffee2uu5z1NzXJYtGjRx77df//9WVVVpam53jQr4YyV1DzuuONywIAB+bvf/S6vuOKK7NOnT44aNSrr6uoyM3PBggVZKpU0m0kzM7NQS/GqqqpcuHBhZmZ+73vfy379+uW0adMyM/Pxxx/PQYMG5QknnKCpuVKdO3fO5557LjMzhw8fvsLn/sEPfpDDhg0rW09TU1Pzo0qlUo4bNy632WabLJVKufnmm+dPfvKTfP3118vaacpmJZxRU7O5Nrfddts8++yzMzPz+uuvz86dO+e4cePqr//3f/93br311prNoFkJZ9QsXvOAAw7IffbZJ9966618991389hjj83Ro0dnZuZdd92VXbp0yfHjx2tqVnSzEs6YmdmuXbucMWPGKq8/+uij2a5dO831vKepWQ6lUimrqqpW+bb8uqbm+tKshDNWUrN37955zz331L//+uuv54477pgjRozIf/7zn7lgwQLNZtTMLNhSvFQq1S9RN99887zhhhsaXL/99ttz00031dRcqXbt2uXMmTMzM7Nbt24rfJP33HPPZfv27cvW09TU1Pyof517U6dOzaOPPjo7d+6crVq1yq9//et55513lrXXFM1KOKOmZnNttmvXLl944YXMzFy6dGm2aNEi//a3v9Vff/755xtl1mqWv1kJZ9QsXrNjx475xBNP1L//j3/8I1u0aJGLFi3KzMxf//rX+ZnPfEZTs6KblXDGzMyuXbvm3Xffvcrrd911V3bt2lVzPe9papZDx44d88c//nHee++9K3274ooryr400dRsTj3Nxm22bds2Z8+e3eC2xYsX55AhQ3LXXXfN2bNnazajZmbmir+9vJlb/jumFy5cGFtssUWDa5tvvnm89NJLmporteOOO8Ztt90WERGf/vSn47HHHmtwfcaMGbHBBhuUraepqan5cQYPHhyXXXZZzJ8/P6644op47bXX4ktf+lL07du3MM1KOKOmZnNqdujQId54442IiPj73/8eH374Yf37ERFvvPFGtG/fXrMZNCvhjJrFa7Zq1ar+v/8iIqqqqmLJkiXx4YcfRkTE0KFDY86cOZqaFd2shDNGRHzjG9+IQw89NG688cZYtGhR/e2LFi2KG2+8MQ4//PA46KCDNNfznqZmOWy77bYRETF8+PCVvm2//faRmZqa602zEs5YSc1evXrFzJkzG9zWoUOHuPPOO+O9996Lfffdt6w9zcZtRkSxfqd4qVTKo446Kk844YTcaKON8q677mpwferUqWX/aTXN4jQnT56cnTp1yjPOOCMvvvji7Nq1a/7gBz/Ia6+9Nk8//fTs3Llz/vjHPy5bT1NTU/Oj/vXXRqzMrFmz8vvf/36zblbCGTU1m2vzm9/8Zu644475m9/8Jvfcc8/80pe+lDvttFPOnDkzn3766Rw+fHh+7Wtf02wGzUo4o2bxmvvuu2/ut99++Y9//CPff//9PP7443OTTTapvz5lypTs3r27pmZFNyvhjJmZdXV1OXbs2GzZsmVWVVVl69ats3Xr1llVVZUtW7bMo48+uv73TWquvz1NzXK4/PLL86c//ekqry9YsCDPPPNMTc31plkJZ6yk5ne+851V/nfP4sWLc8cddyz7s5k1G6+ZWbCXTx8+fHjusssu9W9XXnllg+vjxo3L4cOHa2qu0uTJk3OnnXbKUqnU4G3jjTcu++/I0tTU1Pyof3255HVlXTcr4Yyams21uWDBgtx9992zffv2OXLkyFy0aFF++9vfrv+9XJtuumk+99xzms2gWQln1Cxe8/nnn89Pf/rTWVNTky1atMjOnTvnpEmT6q9fffXVecopp2hqVnSzEs74rxYtWpR33XVXXnfddXndddfl3XffXf+y7Y2lEpqVcEbN4jUBmsKbb77Z4NfIfNTbb7+d9957r2YzaWZmljLL/HoC67HZs2dHy5Yto2fPnpqaH+u1116L2bNnx9KlS6O2trZRXxJVU1NTc7kXX3wxevfu3eDlCRvbum5Wwhk1NZtrc1Vmz54d7777bgwcODBqamo0m3GzEs6o2byb7777bjzwwAPx/vvvx0477RRdu3Yte0NTs7k3K+GMAADQGCpqKQ4AAAAArN/eeeeduO6662Ly5MmxYMGCKJVK0a1btxg2bFgceOCB0a5dO81m0NPU1NSsxGYlnFFTs7k2C7cUf++99+L666+PBx54IObPnx/V1dXRr1+/2GeffWK33XbT1FyvepqampqV2KyEM2pqamo2dbMSzqipqalZic1KOONTTz0Ve+yxR7z77rsxfPjw6NatW2RmvPrqq/GXv/wl2rVrF3feeWdsttlmmutxT1NTU7MSm5VwRk3N5tqMiCjU7xSfNWtW9unTJ7t06ZK1tbVZKpVy1KhRueOOO2Z1dXV+/etfzw8++EBTc73oaWpqalZisxLOqKmpqdnUzUo4o6ampmYlNivhjJmZu+yyS37jG9/Iurq6Fa7V1dXlgQcemLvssovmet7T1NTUrMRmJZxRU7O5NjMzC7UUHzlyZB511FG5ZMmSzMw877zzcuTIkZmZ+eyzz2bfvn3zjDPO0NRcL3qampqaldishDNqampqNnWzEs6oqampWYnNSjhjZmabNm3yySefXOX1xx9/PNu0aaO5nvc0NTU1K7FZCWfU1GyuzcyCLcXbtm2bzz77bP37dXV12aJFi3z99dczM/PWW2/Nvn37amquFz1NTU3NSmxWwhk1NTU1m7pZCWfU1NTUrMRmJZwxM7NHjx556623rvL6Lbfckj169NBcz3uampqaldishDNqajbXZmZmTXlfjL1pde7cOd5+++36999999348MMPo2XLlhERsdVWW8X8+fM1NdeLnqampmYlNivhjJqamppN3ayEM2pqampWYrMSzhgRceSRR8ahhx4aP/jBD2KPPfaIbt26RalUigULFsSkSZPi3HPPjeOPP15zPe9pampqVmKzEs6oqdlcmxFRrN8pfuihh+bw4cNz5syZOXv27DzggANym222qb9+7733Zq9evTQ114uepqamZiU2K+GMmpqamk3drIQzampqalZisxLOuNz5559f/zvMq6qqsqqqKkulUtbW1uaPf/zjsvcqpVkJZ9TU1NRs6mYlnFFTs7k2C7UUX7hwYe600071f4B9+/bNRx99tP767373u/zZz36mqble9DQ1NTUrsVkJZ9TU1NRs6mYlnFFTU1OzEpuVcMaPmj17dk6ePDknT56cs2fPbrROpTUr4YyampqaTd2shDNqaja3Zikzs/zPP29as2bNirq6uhg4cGDU1KybV4jXLE6zEs6oqamp2dTNSjijpqamZlM3K+GMmpqampXYrIQzAgBA2TXqyn09M3fu3Dz88MM1NZtFT1NTU7MSm5VwRk1NTc2mblbCGTU1NTUrsVmkM7777rt5//3355NPPrnCtffeey//53/+R7MZ9DQ1NTUrsVkJZ9TUbK7NilqKz5gxI6uqqjQ1m0VPU1NTsxKblXBGTU1NzaZuVsIZNTU1NSuxWZQzPvPMM9mnT5/6l2wfPnx4zps3r/76ggULNJtBT1NTU7MSm5VwRk3N5trMzCzU6x39/ve//9jrs2fP1tRcb3qampqaldishDNqampqNnWzEs6oqampWYnNSjhjRMR//ud/xpZbbhlTp06Nv//973HiiSfGsGHD4t57743evXuXvVcpzUo4o6ampmZTNyvhjJqazbUZEcV6+fTlP1FQKpVW+VbunyzQLE6zEs6oqamp2dTNSjijpqamZlM3K+GMmpqampXYrIQzZmZutNFG+be//a3Bbcccc0z27t07n3/++UZ55lAlNCvhjJqamppN3ayEM2pqNtdmZmZV463b173a2tq46aabYunSpSt9e/TRRzU115uepqamZiU2K+GMmpqamk3drIQzampqalZisxLOGBHx3nvvRU1Nwxe3vPTSS2OvvfaK4cOHx7PPPqvZDHqampqaldishDNqajbXZkREoZbigwcP/thvxkulUmSmpuZ60dPU1NSsxGYlnFFTU1OzqZuVcEZNTU3NSmxWwhkjIgYOHBhTp05d4faLL7449t5779hrr73K2quUZiWcUVNTU7Opm5VwRk3N5tqMiGK9fPp9992Xf/zjH1d5/R//+Efee++9mprrRU9TU1OzEpuVcEZNTU3Npm5Wwhk1NTU1K7FZCWfMzDz33HNz5MiRq7x+9NFHZ6lU0lzPe5qampqV2KyEM2pqNtdmZmYps8w/zgkAAAAAAAAA64lCvXw6AAAAAAAAAPwrS3EAAAAAAAAACstSHAAAAAAAAIDCshQHAAAAAAAAoLAsxQEAAAAAAAAoLEtxAAAAAAAAAArLUhwAAAAawY033hhbbrlltGnTJrp06RK77757vPPOOxERcfXVV8egQYOidevWMXDgwLjssssa3Pc///M/Y8CAAdG2bdvo379//PCHP4wPPvig/vpjjz0WX/jCF6JDhw7RsWPHGDx4cEydOrX++k033RSbb755tGrVKvr27RsXXnhhg8/ft2/fOPfcc+Nb3/pWdOjQIXr37h2XX355I/5pAAAAQNOpaeoHAAAAAEUzf/78OPDAA+O//uu/Yt99942333477r///sjMuOKKK+KMM86ISy65JLbZZpuYPn16HHnkkdGuXbs49NBDIyKiQ4cOcc0110SPHj3i8ccfjyOPPDI6dOgQJ598ckREHHzwwbHNNtvEhAkTorq6OmbMmBEtWrSIiIhp06bF/vvvH2eeeWYccMABMXny5DjmmGOiS5cucdhhh9U/xgsvvDB+9KMfxfe///248cYb4+ijj47Pf/7zMXDgwHX+5wUAAACNqZSZ2dQPAgAAAIrk0UcfjcGDB8ecOXOiT58+Da717t07fvzjH8eBBx5Yf9vZZ58dEydOjMmTJ6/0811wwQVxww031D8bvGPHjnHxxRfXL9H/1cEHHxyvvfZa3HnnnfW3nXzyyXH77bfHk08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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(four[(four['date'].dt.month.isin([1,2,3,4,5,6])) & (four['competition'] == 'UCL')].groupby('season')['homeTeam'].nunique() / df[(df['date'].dt.month.isin([1,2,3,4,5,6])) & (df['competition'] == 'UCL')].groupby('season')['homeTeam'].nunique()).plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "765dbea7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "1982-83     8\n",
       "1983-84     8\n",
       "1984-85     8\n",
       "1985-86     8\n",
       "1986-87     8\n",
       "1987-88     8\n",
       "1988-89     8\n",
       "1989-90     8\n",
       "1990-91     8\n",
       "1991-92     8\n",
       "1992-93     8\n",
       "1993-94     8\n",
       "1994-95     8\n",
       "1996-97     8\n",
       "1997-98     8\n",
       "1998-99     8\n",
       "1999-00    16\n",
       "2000-01    16\n",
       "2001-02    16\n",
       "2002-03    16\n",
       "2003-04    16\n",
       "2004-05    16\n",
       "2005-06    16\n",
       "2007-08    16\n",
       "2008-09    16\n",
       "2009-10    17\n",
       "2010-11    18\n",
       "2011-12    18\n",
       "2012-13    16\n",
       "2013-14    16\n",
       "2014-15    16\n",
       "2015-16    19\n",
       "2016-17    20\n",
       "2017-18    21\n",
       "2018-19    19\n",
       "2019-20    14\n",
       "2020-21    16\n",
       "2021-22    19\n",
       "2022-23    19\n",
       "2023-24    19\n",
       "Name: homeTeam, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['date'].dt.month.isin([1,2,3,4,5,6])) & (df['competition'] == 'UCL')].groupby('season')['homeTeam'].nunique().tail(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "88f5c9bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "1975-76    2\n",
       "1976-77    2\n",
       "1978-79    2\n",
       "1979-80    2\n",
       "1980-81    4\n",
       "1981-82    4\n",
       "1982-83    2\n",
       "1983-84    3\n",
       "1984-85    2\n",
       "1985-86    1\n",
       "1986-87    2\n",
       "1987-88    1\n",
       "1988-89    1\n",
       "1989-90    2\n",
       "1990-91    3\n",
       "1991-92    3\n",
       "1992-93    1\n",
       "1993-94    1\n",
       "1994-95    1\n",
       "1997-98    1\n",
       "1998-99    1\n",
       "1999-00    2\n",
       "2000-01    1\n",
       "2001-02    1\n",
       "2002-03    1\n",
       "2003-04    2\n",
       "2009-10    1\n",
       "2010-11    1\n",
       "2011-12    2\n",
       "2012-13    1\n",
       "2013-14    1\n",
       "2014-15    1\n",
       "2015-16    3\n",
       "2016-17    1\n",
       "2017-18    2\n",
       "2019-20    1\n",
       "2020-21    1\n",
       "2021-22    1\n",
       "2022-23    2\n",
       "2023-24    2\n",
       "Name: homeTeam, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[(east['date'].dt.month.isin([1,2,3,4,5,6])) & (east['competition'] == 'UCL')].groupby('season')['homeTeam'].nunique().tail(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "3c76e241",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "1985-86    5\n",
       "1986-87    5\n",
       "1987-88    4\n",
       "1988-89    4\n",
       "1989-90    4\n",
       "1990-91    4\n",
       "1991-92    4\n",
       "1992-93    4\n",
       "1993-94    3\n",
       "1994-95    3\n",
       "1995-96    3\n",
       "1996-97    3\n",
       "1997-98    5\n",
       "1998-99    4\n",
       "1999-00    5\n",
       "2000-01    4\n",
       "2001-02    7\n",
       "2002-03    5\n",
       "2003-04    5\n",
       "2004-05    4\n",
       "2005-06    4\n",
       "2006-07    4\n",
       "2007-08    4\n",
       "2008-09    4\n",
       "2009-10    5\n",
       "2010-11    3\n",
       "2011-12    4\n",
       "2012-13    4\n",
       "2013-14    3\n",
       "2014-15    3\n",
       "2015-16    4\n",
       "2016-17    5\n",
       "2017-18    4\n",
       "2018-19    5\n",
       "2019-20    5\n",
       "2020-21    4\n",
       "2021-22    4\n",
       "2022-23    3\n",
       "2023-24    4\n",
       "2024-25    5\n",
       "Name: homeTeam, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['date'].dt.month.isin([8,9,10])) & (df['homeTeamCountry'].isin(['Czechoslovakia','Czech Republic']))].groupby('season')['homeTeam'].nunique().tail(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a6bf5a88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "1963-64    2\n",
       "1965-66    1\n",
       "1966-67    1\n",
       "1967-68    1\n",
       "1968-69    2\n",
       "1972-73    2\n",
       "1973-74    1\n",
       "1974-75    1\n",
       "1978-79    3\n",
       "1979-80    1\n",
       "1980-81    1\n",
       "1982-83    1\n",
       "1983-84    1\n",
       "1984-85    1\n",
       "1985-86    1\n",
       "1987-88    1\n",
       "1991-92    2\n",
       "1992-93    1\n",
       "1994-95    1\n",
       "1995-96    2\n",
       "1997-98    3\n",
       "1998-99    1\n",
       "1999-00    3\n",
       "2000-01    1\n",
       "2001-02    4\n",
       "2002-03    2\n",
       "2003-04    3\n",
       "2004-05    1\n",
       "2005-06    1\n",
       "2007-08    1\n",
       "2010-11    1\n",
       "2011-12    1\n",
       "2012-13    2\n",
       "2013-14    2\n",
       "2015-16    1\n",
       "2016-17    1\n",
       "2017-18    1\n",
       "2018-19    2\n",
       "2020-21    1\n",
       "2023-24    3\n",
       "Name: homeTeam, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['date'].dt.month.isin([1,2,3,4,5,6])) & (df['homeTeamCountry'].isin(['Czechoslovakia','Czech Republic']))].groupby('season')['homeTeam'].nunique().tail(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8528930b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "homeTeam\n",
       "Dynamo Kyiv               132\n",
       "Red Star Belgrade          80\n",
       "Shakhtar Donetsk           79\n",
       "Sparta Prague              72\n",
       "Steaua București           70\n",
       "Dinamo Zagreb              67\n",
       "Spartak Moscow             61\n",
       "Partizan                   53\n",
       "BATE Borisov               52\n",
       "CSKA Moscow                52\n",
       "Sheriff Tiraspol           45\n",
       "Maribor                    40\n",
       "Ferencváros                39\n",
       "Legia Warsaw               38\n",
       "Zenit Saint Petersburg     36\n",
       "Ludogorets Razgrad         35\n",
       "dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['competition'] == 'UCL'].groupby('homeTeam').size().nlargest(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1177ec9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "competition  awayTeamCountry\n",
       "EL           Spain              32\n",
       "UCL          Spain              26\n",
       "             England            25\n",
       "EL           Italy              21\n",
       "             West Germany       19\n",
       "UCL          Italy              11\n",
       "EL           England             7\n",
       "             Germany             7\n",
       "Intertoto    Spain               6\n",
       "UCL          Germany             5\n",
       "CWC          England             4\n",
       "EL           France              4\n",
       "             Ukraine             4\n",
       "ICFC         England             4\n",
       "             Spain               4\n",
       "EL           Portugal            3\n",
       "Intertoto    France              3\n",
       "CWC          Belgium             2\n",
       "             Germany             2\n",
       "             Spain               2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['homeTeamCountry'] == df['awayTeamCountry']].groupby(['competition','awayTeamCountry']).size().nlargest(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e19b11ef",
   "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>competition</th>\n",
       "      <th>date</th>\n",
       "      <th>score</th>\n",
       "      <th>homeTeam</th>\n",
       "      <th>homeTeamCountry</th>\n",
       "      <th>homeTeamUrl</th>\n",
       "      <th>awayTeam</th>\n",
       "      <th>awayTeamCountry</th>\n",
       "      <th>awayTeamUrl</th>\n",
       "      <th>location</th>\n",
       "      <th>phase</th>\n",
       "      <th>attendance</th>\n",
       "      <th>competitonOriginal</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>remaining_comp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45071</th>\n",
       "      <td>EL</td>\n",
       "      <td>1983-11-23</td>\n",
       "      <td>0-2</td>\n",
       "      <td>Radnički Niš</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>FK_Radni%C4%8Dki_Ni%C5%A1</td>\n",
       "      <td>Hajduk Split</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>HNK_Hajduk_Split</td>\n",
       "      <td>Stadion Čair, Niš</td>\n",
       "      <td>third round</td>\n",
       "      <td>20002.0</td>\n",
       "      <td>1983–84 UEFA Cup</td>\n",
       "      <td>1983-84</td>\n",
       "      <td>Niš</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45143</th>\n",
       "      <td>EL</td>\n",
       "      <td>1983-12-07</td>\n",
       "      <td>2-0</td>\n",
       "      <td>Hajduk Split</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>HNK_Hajduk_Split</td>\n",
       "      <td>Radnički Niš</td>\n",
       "      <td>Socialist Federal Republic of Yugoslavia</td>\n",
       "      <td>FK_Radni%C4%8Dki_Ni%C5%A1</td>\n",
       "      <td>Stadion Poljud, Split</td>\n",
       "      <td>third round</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>1983–84 UEFA Cup</td>\n",
       "      <td>1983-84</td>\n",
       "      <td>Split</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127536</th>\n",
       "      <td>Intertoto</td>\n",
       "      <td>2000-07-26</td>\n",
       "      <td>3-1</td>\n",
       "      <td>Sigma Olomouc</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Sigma_Olomouc</td>\n",
       "      <td>Chmel Blšany</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>FK_Chmel_Bl%C5%A1any</td>\n",
       "      <td>Andrův stadion, Olomouc</td>\n",
       "      <td>semi-finals</td>\n",
       "      <td>939.0</td>\n",
       "      <td>2000 UEFA Intertoto Cup</td>\n",
       "      <td>1999-00</td>\n",
       "      <td>Olomouc</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127706</th>\n",
       "      <td>Intertoto</td>\n",
       "      <td>2000-08-02</td>\n",
       "      <td>0-0</td>\n",
       "      <td>Chmel Blšany</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>FK_Chmel_Bl%C5%A1any</td>\n",
       "      <td>Sigma Olomouc</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>SK_Sigma_Olomouc</td>\n",
       "      <td>FK Chmel Blšany, Blšany</td>\n",
       "      <td>semi-finals</td>\n",
       "      <td>800.0</td>\n",
       "      <td>2000 UEFA Intertoto Cup</td>\n",
       "      <td>1999-00</td>\n",
       "      <td>Blšany</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191566</th>\n",
       "      <td>EL</td>\n",
       "      <td>2006-03-30</td>\n",
       "      <td>1-1</td>\n",
       "      <td>Rapid București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>FC_Rapid_Bucure%C8%99ti</td>\n",
       "      <td>Steaua București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>FC_Steaua_Bucure%C8%99ti</td>\n",
       "      <td>Stadionul Giulești-Valentin Stănescu, Bucharest</td>\n",
       "      <td>quarter-finals</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2005–06 UEFA Cup knockout stage</td>\n",
       "      <td>2005-06</td>\n",
       "      <td>Bucharest</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191594</th>\n",
       "      <td>EL</td>\n",
       "      <td>2006-04-06</td>\n",
       "      <td>0-0</td>\n",
       "      <td>Steaua București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>FC_Steaua_Bucure%C8%99ti</td>\n",
       "      <td>Rapid București</td>\n",
       "      <td>Romania</td>\n",
       "      <td>FC_Rapid_Bucure%C8%99ti</td>\n",
       "      <td>Stadionul Național, Bucharest</td>\n",
       "      <td>quarter-finals</td>\n",
       "      <td>39750.0</td>\n",
       "      <td>2005–06 UEFA Cup knockout stage</td>\n",
       "      <td>2005-06</td>\n",
       "      <td>Bucharest</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225708</th>\n",
       "      <td>EL</td>\n",
       "      <td>2009-03-12</td>\n",
       "      <td>1-0</td>\n",
       "      <td>Dynamo Kyiv</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Dynamo_Kyiv</td>\n",
       "      <td>Metalist Kharkiv</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Metalist_Kharkiv</td>\n",
       "      <td>Lobanovsky Dynamo Stadium, Kyiv</td>\n",
       "      <td>round of 16</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>2008–09 UEFA Cup knockout stage</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>Kyiv</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225776</th>\n",
       "      <td>EL</td>\n",
       "      <td>2009-03-19</td>\n",
       "      <td>3-2</td>\n",
       "      <td>Metalist Kharkiv</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Metalist_Kharkiv</td>\n",
       "      <td>Dynamo Kyiv</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Dynamo_Kyiv</td>\n",
       "      <td>Metalist Stadium, Kharkiv</td>\n",
       "      <td>round of 16</td>\n",
       "      <td>26000.0</td>\n",
       "      <td>2008–09 UEFA Cup knockout stage</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>Kharkiv</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225862</th>\n",
       "      <td>EL</td>\n",
       "      <td>2009-04-30</td>\n",
       "      <td>1-1</td>\n",
       "      <td>Dynamo Kyiv</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Dynamo_Kyiv</td>\n",
       "      <td>Shakhtar Donetsk</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Shakhtar_Donetsk</td>\n",
       "      <td>Lobanovsky Dynamo Stadium, Kyiv</td>\n",
       "      <td>semi-finals</td>\n",
       "      <td>17000.0</td>\n",
       "      <td>2008–09 UEFA Cup knockout stage</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>Kyiv</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225870</th>\n",
       "      <td>EL</td>\n",
       "      <td>2009-05-07</td>\n",
       "      <td>2-1</td>\n",
       "      <td>Shakhtar Donetsk</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Shakhtar_Donetsk</td>\n",
       "      <td>Dynamo Kyiv</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>FC_Dynamo_Kyiv</td>\n",
       "      <td>RSK Olimpiyskyi, Donetsk</td>\n",
       "      <td>semi-finals</td>\n",
       "      <td>24300.0</td>\n",
       "      <td>2008–09 UEFA Cup knockout stage</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>Donetsk</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       competition       date score          homeTeam  \\\n",
       "45071           EL 1983-11-23   0-2      Radnički Niš   \n",
       "45143           EL 1983-12-07   2-0      Hajduk Split   \n",
       "127536   Intertoto 2000-07-26   3-1     Sigma Olomouc   \n",
       "127706   Intertoto 2000-08-02   0-0      Chmel Blšany   \n",
       "191566          EL 2006-03-30   1-1   Rapid București   \n",
       "191594          EL 2006-04-06   0-0  Steaua București   \n",
       "225708          EL 2009-03-12   1-0       Dynamo Kyiv   \n",
       "225776          EL 2009-03-19   3-2  Metalist Kharkiv   \n",
       "225862          EL 2009-04-30   1-1       Dynamo Kyiv   \n",
       "225870          EL 2009-05-07   2-1  Shakhtar Donetsk   \n",
       "\n",
       "                                 homeTeamCountry                homeTeamUrl  \\\n",
       "45071   Socialist Federal Republic of Yugoslavia  FK_Radni%C4%8Dki_Ni%C5%A1   \n",
       "45143   Socialist Federal Republic of Yugoslavia           HNK_Hajduk_Split   \n",
       "127536                            Czech Republic           SK_Sigma_Olomouc   \n",
       "127706                            Czech Republic       FK_Chmel_Bl%C5%A1any   \n",
       "191566                                   Romania    FC_Rapid_Bucure%C8%99ti   \n",
       "191594                                   Romania   FC_Steaua_Bucure%C8%99ti   \n",
       "225708                                   Ukraine             FC_Dynamo_Kyiv   \n",
       "225776                                   Ukraine        FC_Metalist_Kharkiv   \n",
       "225862                                   Ukraine             FC_Dynamo_Kyiv   \n",
       "225870                                   Ukraine        FC_Shakhtar_Donetsk   \n",
       "\n",
       "                awayTeam                           awayTeamCountry  \\\n",
       "45071       Hajduk Split  Socialist Federal Republic of Yugoslavia   \n",
       "45143       Radnički Niš  Socialist Federal Republic of Yugoslavia   \n",
       "127536      Chmel Blšany                            Czech Republic   \n",
       "127706     Sigma Olomouc                            Czech Republic   \n",
       "191566  Steaua București                                   Romania   \n",
       "191594   Rapid București                                   Romania   \n",
       "225708  Metalist Kharkiv                                   Ukraine   \n",
       "225776       Dynamo Kyiv                                   Ukraine   \n",
       "225862  Shakhtar Donetsk                                   Ukraine   \n",
       "225870       Dynamo Kyiv                                   Ukraine   \n",
       "\n",
       "                      awayTeamUrl  \\\n",
       "45071            HNK_Hajduk_Split   \n",
       "45143   FK_Radni%C4%8Dki_Ni%C5%A1   \n",
       "127536       FK_Chmel_Bl%C5%A1any   \n",
       "127706           SK_Sigma_Olomouc   \n",
       "191566   FC_Steaua_Bucure%C8%99ti   \n",
       "191594    FC_Rapid_Bucure%C8%99ti   \n",
       "225708        FC_Metalist_Kharkiv   \n",
       "225776             FC_Dynamo_Kyiv   \n",
       "225862        FC_Shakhtar_Donetsk   \n",
       "225870             FC_Dynamo_Kyiv   \n",
       "\n",
       "                                               location           phase  \\\n",
       "45071                                 Stadion Čair, Niš     third round   \n",
       "45143                             Stadion Poljud, Split     third round   \n",
       "127536                          Andrův stadion, Olomouc     semi-finals   \n",
       "127706                          FK Chmel Blšany, Blšany     semi-finals   \n",
       "191566  Stadionul Giulești-Valentin Stănescu, Bucharest  quarter-finals   \n",
       "191594                    Stadionul Național, Bucharest  quarter-finals   \n",
       "225708                  Lobanovsky Dynamo Stadium, Kyiv     round of 16   \n",
       "225776                        Metalist Stadium, Kharkiv     round of 16   \n",
       "225862                  Lobanovsky Dynamo Stadium, Kyiv     semi-finals   \n",
       "225870                         RSK Olimpiyskyi, Donetsk     semi-finals   \n",
       "\n",
       "        attendance               competitonOriginal   season       city  \\\n",
       "45071      20002.0                 1983–84 UEFA Cup  1983-84        Niš   \n",
       "45143      25000.0                 1983–84 UEFA Cup  1983-84      Split   \n",
       "127536       939.0          2000 UEFA Intertoto Cup  1999-00    Olomouc   \n",
       "127706       800.0          2000 UEFA Intertoto Cup  1999-00     Blšany   \n",
       "191566     15000.0  2005–06 UEFA Cup knockout stage  2005-06  Bucharest   \n",
       "191594     39750.0  2005–06 UEFA Cup knockout stage  2005-06  Bucharest   \n",
       "225708     17800.0  2008–09 UEFA Cup knockout stage  2008-09       Kyiv   \n",
       "225776     26000.0  2008–09 UEFA Cup knockout stage  2008-09    Kharkiv   \n",
       "225862     17000.0  2008–09 UEFA Cup knockout stage  2008-09       Kyiv   \n",
       "225870     24300.0  2008–09 UEFA Cup knockout stage  2008-09    Donetsk   \n",
       "\n",
       "        remaining_comp  \n",
       "45071             22.0  \n",
       "45143             14.0  \n",
       "127536            12.0  \n",
       "127706             6.0  \n",
       "191566             9.0  \n",
       "191594             5.0  \n",
       "225708            21.0  \n",
       "225776            13.0  \n",
       "225862             3.0  \n",
       "225870             1.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "east[east['homeTeamCountry'] == east['awayTeamCountry']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b378ef3",
   "metadata": {},
   "source": [
    "## Albánie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3c1f7010",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "1993-94    2\n",
       "1994-95    1\n",
       "1996-97    1\n",
       "1997-98    4\n",
       "1998-99    1\n",
       "1999-00    7\n",
       "2000-01    6\n",
       "2001-02    7\n",
       "2002-03    3\n",
       "2003-04    7\n",
       "2004-05    6\n",
       "2005-06    4\n",
       "2006-07    3\n",
       "2007-08    6\n",
       "2008-09    3\n",
       "2009-10    2\n",
       "2010-11    3\n",
       "2011-12    6\n",
       "2012-13    2\n",
       "2013-14    6\n",
       "2014-15    2\n",
       "2015-16    2\n",
       "2016-17    3\n",
       "2017-18    3\n",
       "2018-19    4\n",
       "2019-20    5\n",
       "2020-21    1\n",
       "2021-22    3\n",
       "2022-23    6\n",
       "2023-24    1\n",
       "2024-25    3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['homeTeamCountry'] == 'Czech Republic') & (df['competition'] == 'UCL')].groupby('season').size()"
   ]
  }
 ],
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