This dataset tracks player performance and valuation metrics for the 2025-2026 English Premier League season, covering approximately 600 players across 20 clubs. It captures weekly statistical updates including total points, goals, assists, and clean sheets alongside market-driven data like ownership percentages and price fluctuations.
Use Cases
- Optimize squad selection by calculating points-per-million using the total_points and now_cost columns.
- Predict future scoring potential by analyzing the ict_index and expected_goals (xG) features.
- Identify 'differential' players for fantasy strategies by filtering for low selected_by_percent values among high-scoring elements.
- Analyze team defensive strength by aggregating clean_sheets and goals_conceded across specific team IDs.
Strengths
- Includes player-specific attributes such as element_type (position), now_cost, and selected_by_percent.
- Tracks performance metrics including goals_scored, assists, clean_sheets, and bonus points per gameweek.
- Contains financial tracking columns such as cost_change_event and value_season to monitor player ROI.
- Features advanced metrics like ict_index (Influence, Creativity, Threat) for deeper performance modeling.