5000 players from the EA Sports FC 25 video game are described with 52 attributes. The dataset includes player ratings, performance statistics, league affiliations, and wage information. The original source is the game's data, compiled by an unknown author.
Use Cases
- Predict player overall_rating from individual skill attributes like pace or shooting using regression models.
- Analyze wage distribution across different leagues and player nationalities.
- Cluster players into performance tiers based on their season_performance metrics and statistical profiles.
- Build a recommendation system for fantasy football by correlating player_stats with real-world performance indicators.
Strengths
- Contains 5000 player records
- Includes 52 attributes per player covering multiple performance dimensions
Limitations
- Sample size of 5000 players may not represent the full in-game roster
- Data is synthetic from a video game and may not reflect real-world player abilities
- Unknown data collection methodology and potential for label inaccuracies
Provenance
- Source
- EA Sports FC 25 video game data
- Collection Method
- Extracted from the game's internal database, method unknown
- Time Range
- Season corresponding to EA Sports FC 25 release
- Freshness
- null
- Geography
- Global player pool from international leagues