Virtual Football Player Performance Dataset
Sports & Recreation
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About
This dataset contains detailed player performance data directly extracted from the game Football Manager 2022. It includes statistics related to player performance in matches, alongside their transfer values. The primary purpose of this dataset is to facilitate the prediction of players' Current Ability, offering a valuable resource for in-depth sports analysis and game-related research.
Columns
- Index: Unique identifier for each player record.
- Name: The name of the player (1103 unique values out of 1122 records).
- Apps: The total number of appearances a player has made (ranging from 11 to 50).
- Mins: The total minutes played by the player (ranging from 756 to 4,514 minutes).
- Mins/Gm: The average minutes played per game (ranging from 63 to 115 minutes).
- Height: The player's height in centimetres (ranging from 161 cm to 204 cm).
- Weight: The player's weight in kilograms (ranging from 56 kg to 106 kg).
- Age: The age of the player (ranging from 18 to 39 years).
- Av Rat: The average total score or rating of the player (ranging from 6.36 to 8.17).
- Gls: The total number of goals scored (ranging from 0 to 9).
- Gls/90: Goals scored per 90 minutes (ranging from 0 to 0.57).
- Shot %: The percentage of shots on target (ranging from 0 to 1).
- Pen/R: Penalty score ratio (ranging from 0 to 1).
- xG: Expected goals (ranging from 0 to 7.45).
- Ch C/90: Chances created per game (ranging from 0 to 3.84).
- Asts/90: Assists per game (ranging from 0 to 0.65).
- K Ps/90: Key passes per game (ranging from 0 to 3.45).
- Pas %: Pass accuracy ratio (ranging from 0.24 to 0.99).
- Cr C/A: Created chances on average (ranging from 0 to 1).
- Drb/90: Dribbles made per game (ranging from 0 to 3.25).
- Distance: Total distance run (ranging from 1.6 to 482 units).
- Hdr %: Headers won ratio (ranging from 0 to 1).
- K Tck: Key tackles in total (ranging from 0 to 8).
- Fls: Total fouls made (ranging from 0 to 84).
- Int/90: Interceptions made per game (ranging from 0 to 4.42).
- Clear: Total clearances (ranging from 0 to 316).
- Con/90: Clearances per game (ranging from 0 to 2.63).
- xSv %: Percentage of expected saves (ranging from -222 to 229).
- Sv %: Percentage of saves (ranging from -0.66 to 0).
- Svh: Shots caught (ranging from 0 to 54).
- Svt: Shots repelled (ranging from 0 to 28).
- Svp: Shots blocked (ranging from 0 to 83).
- Pens Saved Ratio: Penalties saved ratio (ranging from 0 to 1).
- PoM: Player of the Match awards (ranging from 0 to 8).
- Aer A/90: Aerial attempts per game (ranging from 0 to 19.8).
- Off: Total offsides (ranging from 0 to 13).
- Based: The league where the player plays (e.g., France (Ligue 1), France (Ligue 2), Other).
- Tck R: Tackle accuracy ratio (ranging from 0 to 1).
- CA: Current Ability of the player (ranging from 70 to 180).
- Saves: Total saves made (ranging from 0 to 144).
- Saves/xSv%: Saves divided by expected saves (ranging from -14.7 to 0.47).
- Gls/xG: Goals divided by expected goals (ranging from 0 to 100).
- Dist/Mins: Distance run by minutes (ranging from 0 to 0.16).
- Transfer Value: The player's transfer value range (e.g., €160K - €1.6M).
- Value: The average transfer value (ranging from 750 to 305 million).
Distribution
The dataset is provided in a tabular format, typically as a CSV file (
variables.csv
) with a size of 312.1 kB. It contains 45 distinct columns and 1122 valid records.Usage
This dataset is ideal for:
- Developing machine learning models to predict player Current Ability and transfer values.
- Performing detailed player performance analysis in football.
- Supporting talent scouting and team building strategies in gaming simulations.
- Enriching fantasy football league analysis.
- Academic research into sports analytics and game data.
Coverage
The data originates from the Football Manager 2022 game, representing player statistics from that specific game version. It covers players from various leagues, including France (Ligue 1, Ligue 2), and a substantial portion from other unspecified leagues. The dataset includes player demographics such as age (18 to 39 years), height (161 cm to 204 cm), and weight (56 kg to 106 kg).
License
CC0: Public Domain
Who Can Use It
- Sports Analysts: For evaluating player performance and trends.
- Data Scientists: For building predictive models for player development and market value.
- Football Enthusiasts: For gaining deeper insights into player statistics and game mechanics.
- Game Researchers: For studying virtual sports environments and player dynamics.
- Scouts and Recruiters: For identifying promising players based on in-game metrics.
Dataset Name Suggestions
- FM22 Player Statistics and Transfer Data
- Football Manager 2022 Player Metrics
- Virtual Football Player Performance Dataset
- FM22 Current Ability Prediction Data
- Football Manager 2022 Player Data Analytics
Attributes
Original Data Source: Virtual Football Player Performance Dataset