This dataset consists of the Premier League team stats for seasons 2022/2023, 2021/2022 and 2022/2021. The data was scraped from fbref.com and formatted into a csv file.

Columns:

date = Date of the match time = Kick-off time of the match comp = Competition of the match (i.e English Premier League) round = The match week the match took place on day = The day the match took place on (i.e Monday, Tuesday etc) venue = Whether team was Home, Away or Neutral venue result = Whether the team Won, Lost or Drew (W, L, D) gf = How many goals the team scored ga = How many goals the team conceded opponent = Who the team faced that day xg = Expected goals xa = Expected goals allowed poss = Possession attendance = How many people attended the match captain = Captain of the team for match formation = Formation the team used for match referee = The referee for the match match report = Please ignore notes = Please ignore sh = Shots total sot = Shots on target dist = average distance by shot fk = shots from free kicks pk = Penalty kicks made pkatt= Penalty kicks attempted season = The year the season took place (i.e for 2022/2023 season year would be 2023) team = The team the stats belong to (i.e Manchester City)

In 2024/25, the average match attendance in the Premier League was 40,498. This represented an increase of around five percent on the previous season.

Manchester United had the highest average attendance in the Premier League in the 2024/25 season, attracting crowds of around 73,815 to Old Trafford. Meanwhile, Goodison Park typically saw crowds of over 39,000 in its final season as the home of Everton's men's team.

The aggregate attendance of the English Premier League, commonly referred to as the Premier League, has exhibited a gradual increase from 13 million attendees in 2009/2010 to approximately 15 million attendees in 2021/22. In 2020/21, the total aggregate attendance at the games fell to its lowest value throughout this period as a result of the coronavirus (COVID-19) pandemic . The Premier League The Premier League, currently consisting of 20 professional football clubs, constitutes the highest level of professional club football within the United Kingdom (UK). Alongside the so-called “Big-Five” leagues of Europe, which include the top-tier football leagues of England, Spain, Italy, Germany, and France; the Premier League is considered to be one of the most widely followed and well-known football leagues in the world. Revenue The Premier League was established in 1992 following the decision of the then first division of the English Football league to capitalize on a lucrative television rights deal. A decision that has led to the clubs within the Premier League consistently yielding the largest combined revenue of the ‘Big-Five’ leagues of Europe with the combined revenue of all 20 Premier League clubs projected to be around 6.2 billion euros in the 2021/22 season; over two billion euros more than the expected combined revenue of their counterparts in Spain and Germany, who rank second and third respectively. The 2020/21 season The 2020/2021 season, following a delay until the 12 September due to the postponement of the previous season's conclusion as a result of the impact of the COVID-19 containment measures culminated in Manchester City FC reclaiming their title from the defending champions, Liverpool FC. Leading to the club's third championship title within the last four seasons. In the 2021/22 season the Premier League bounced back from COVID-19 as the strongest attendance wise in the Big-Five with an average of close to 40 thousand spectators per match.

This statistic presents the average stadium utilization of professional football matches of The Premier League in England from 2010 to 2017. In 2017, the average stadium of The Premier League was utilized at 96.5 percent.

Scraped player stats per game from Understat from 2014/2015 to 2024/2025 (still in progress) seasons.

This contains more detailed information than the dataset from https://www.kaggle.com/datasets/codytipton/understat-data, which includes the individual player stats per game for the English Premier League, La Liga, Bundesliga, Serie A, Ligue 1, and the Russian Football Premier League. In particular, it contains each player's xG, xGBuildup, goals, and shots per game. Furthermore, it has the events for each shot in the events table, clubs and their stats per season in the clubs table, and each game with who lost, won, shots, possession, probabilities of who wins, ect..

This is for educational purposes in our data science bootcamp project.

lineup_stats

• match_id: the id for the match they played
• goals: number of goals for this match
• own_goals: number of own goals for this match
• shots: number of shots for this match
• xG: players xG for this match
• **time*: total amount of time this player played in this match
• player_id: player id
• team_id: id for the players team
• position: players position in this match (SUB means they were substituted in)
• player: player's name
• h_a: 'h' if they are in the home team and 'a' if they are in the away team
• yellow_card: number of yellow cards for this match
• red_card: number of red cards for this match
• **roster_in*: (there is roster information in another table that I did not get, will update later)
• roster_out: (same as roster_in)
• key_passes: number of key passes for this match
• assists: number of assists for this match
• xA: expected assists for this match
• xGChain: total xG for every possession the player is involved in this match
• xGBuildup: Total xG for every possession the player is involved in without key passes and shots in this match
• positionOrder: ordering in the lineup

general_game_stats

• id: this game id
• fid: not sure what this is
• h_id: home team id
• a_id: away team id
• date: date of this game
• league_id: id for the league
• season: which season which game was for
• h_goals: number of goals for the home team
• a_goals: number of goals for the away team
• team_h: home team name
• team_a: away team name
• h_xg: home xG
• a_xg: away xG
• h_w: home win probability
• h_d: home draw probability
• h_l: home loss probability
• league: league name
• h_shot: number of shots by the home team
• a_shot: number of shots by the away team
• h_shotOnTarget: number of shots on target by the home team
• a_shotOnTarget: number of shots on target by the away team
• h_deep:home team passes completed within an estimated 20 yards of goal (crosses excluded) -deap_allowed: opponent passes completed within an estimated 20 yards of goal (crosses excluded)
• a_deep: away team passes completed within an estimated 20 yards of goal (crosses excluded) -deap_allowed: opponent passes completed within an estimated 20 yards of goal (crosses excluded)
• h_ppda: home team passes allowed per defensive action in the opposition half.
• a_ppda:away team passes allowed per defensive action in the opposition half.

game_events

• id: id for event
• minute: minute the event happend
• result: result (blocked shot, saved shot, ect..)
• X: x-coordinate where the player took the shot
• Y: y-coordinate where the player took the shot
• xG: the xG for the shot
• player: player's name
• h_a: h for home team or a for away team
• player_id: player's id
• situation: situation where this shot happend (direct free kicks, set piece, open play, ect..)
• season: the match season
• shotType: what type of shot (left foot, right foot, head, ect..)
• ** match_id**: id for the match
• h_team: home team name
• ** a_team**: away team name
• ** h_goals**: number of home goals at this time
• ** a_goals**: number of away goals at this time
• date: date of the match
• ** player_assisted**: player who assisted
• lastAction: the last action before this shot

clubs

• club_id: id for the club
• ** club**: club name
• ** league_id** : league id
• ** league**: league name
• ** season**: which season these stats are from
• ** wins**: number of wins that season
• ** draws**: number of draws that season
• ** losses**: number of losses that season
• ** pts**: number of points for that season
• ** avg_xG**: average xG throughout the season
• ** total_goals**: total amount of goals for this season
• total_goals_cond: total amount of goals conceded this season

Results for group 1 v group 2 balanced data set (Best Average Test Performance = 61.5% and Best Average Test Error = 11.6% with a combination of seven variables) and group 1 v group 2 model variables as means and standard deviations for player groupings.

This statistic shows English Premier League and Championship clubs' average revenues in the 2019/20 season, by stream. During this season, clubs playing in the UEFA Champions League recorded 178 million euros in revenue from broadcasting.

This statistic presents the average stadium capacity of professional football matches of The Premier League in England from 2010 to 2017. In 2017, the average stadium of The Premier League had the capacity of 37 thousand spectators.

This statistic shows the number of television viewers of the English Premier League from the 2010/11 season to the 2016/17* season, by broadcaster. After starting this period with ***** times the TV audience of rivals BT, Sky's share of the Premier League's viewership has fallen in the past years, to end the period with *** million viewers compared to BT's *** million.

The Premier League distributed over *** billion British pounds to its members in 2024/25, with champions Liverpool receiving a payout of ***** million British pounds. The league's distribution model sees the bulk of broadcasting revenue being shared evenly, meaning that even relegated clubs can receive a substantial payout.

In the 2012/13 season, the average in-play time of English Premier League matches was **** percent. By 2022/23, this had dropped to **** percent, meaning that fans may have seen a slight increase in stoppages and off-the-ball time wasting.

In the 2022/23 season, players in the English Premier League (EPL) tended to be sent off at a higher frequency than Women's Super League (WSL) players, with a red card being shown nearly every 13 games on average. Meanwhile, in the same season, the WSL saw a red card once in nearly every 16 matches.

The English Premier League (EPL) is widely regarded as one of the most exciting and popular soccer leagues in the world. During the 2020/21 season, the Premier League average 414 thousand viewers on the NBC Sports networks, down 10 percent of the previous season's figure.

In 2023/24, the combined broadcasting revenue of all Premier League clubs amounted to nearly *** billion British pounds, representing a slight increase on the previous season. Meanwhile, revenue from matchdays totaled *** million British pounds.

The statistic shows the average matchday attendance of football matches in United Kingdom (UK) from 2015 to 2020, by league. In the 2019/2020 season, matches of Premier League had average attendance of approximately 39.5 thousand people.

This statistic presents the average number of stadium attendees of professional football matches of The Premier League in England from 2010 to 2017. In 2017, the average number of people who attended matches of The Premier League amounted to 35.8 thousand people.

In 2022/23, the Premier League had an aggregate attendance of around 15.3 million - nearly five million more than the EFL Championship. In terms of average attendance, England's top-tier ranked behind only the Bundesliga in the Big Five leagues.

As of January 2023, the 2022/23 English Premier League season saw more yellow cards given for time wasting than any of the previous seven seasons, with **** cards awarded per game on average. This was an increase of **** on the previous season.

This statistic shows the results of a representative survey of the British Public in relation to the English Premier League, presenting the share of British Adults that watch Premier League football matches, by frequency and age group. Within each age groups the largest of share of respondents indicated that they never watch English Premier League football matches. The age group with the smallest share of respondents indicating that they never watch Premier League football matches was the ***** year old, where only ** percent of them responded as such.