Analysis
Models, splits, and rankings derived from raw match and player data, beyond what the standings table can tell you. Each view has a methodology doc explaining how the numbers are computed and where they break.
How strong is each team?
Elo Ratings
Opponent-adjusted team strength over time. Continuous across seasons with mean regression.
Performance vs Expectation
Luck-adjusted standings. Actual vs expected points from pre-match Elo, regular season.
Model vs Reality
ML match predictions vs actual results. Logistic model on Elo, form, and rest days.
How are they trending?
How do they play?
Team Style Profiles
How teams play, not just how well. Heatmap table and radar charts across 5 style dimensions.
Team Quadrants
Compare teams on two derived metrics at a time. Attacking, build-up, defensive presets.
Shot Quality
Goals vs shot-quality-expected. Calibrated Poisson model on shot buckets. Explicitly not xG.
Pressing
Where on the pitch teams win the ball back. Att / mid / def share and a single-axis height index.
Build-up & Directness
Long-ball share, forward-zone passes, and a directness index ranking patient vs direct sides.
Set Pieces & Corners
Set-piece attack share, free-kick outcomes, corner delivery quality, big-chance conversion.
Players
Player Profiles
Search players, view per-90 stats and position-adjusted percentile rankings season by season.
Player Quadrants
Per-90 quadrant scatter for outfield players (min 200 minutes), filterable by position.
Player Archetype Map
Every player-season placed by playing archetype. Click a dot to open the profile.