Per90 Rating
Per-90 based rating framework enabling fair cross-position comparisons and longitudinal tracking.
Overview
Per90 Rating
OverviewUses a unified per-90 time scale to aggregate shooting, passing, possession and defensive metrics. Enables fair cross-position comparisons and season-over-season tracking.
- Unified metrics: chance creation, aerials, pressing and interceptions normalized per 90.
- Position fairness: position-aware weighting/regularization to avoid single-dimension bias.
- Validation: residuals, correlations and league-average trends to ensure robustness.
Player Role Analysis
OverviewCombines UMAP for dimensionality reduction with KMeans/hierarchical clustering to profile player functional roles and tactical tendencies, assessing agreement across algorithms.
- Role profiling: map attacking/defensive/organizational dimensions into low-dimensional clusters.
- Algorithm agreement: heatmaps and tables to evaluate label stability across methods.
- Practical use: role, age and minutes distributions support scouting and training.
Key Takeaways
- Balance unified standards with interpretability for cross-position comparisons.
- Multi-algorithm evidence reduces single-model bias risk.
- Trends and distributions reveal macro evolution and micro differences.
- Extensible to tactical overview to support coaches and analysts.
Model Modules
Player Role Analysis
UMAP + KMeans role clustering with visualization of role distributions and algorithm agreement.
Tactical Analysis Overview
Infer tactical tendencies from roles and event stats; provides formation role distribution and comparisons.
Result Gallery
Click any image to view details in Lightbox.
Impact & Value
Use Cases
- Player evaluation & recruitment: objective cross-league and cross-position comparisons.
- Tactical alignment & training feedback: role traits aligned with tactical intent.
- Trend monitoring & season review: league averages and seasonal trend visualizations.