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  • Backtest
  • Betting Utilities
  • Fantasy Premier League
  • Implied Odds
  • Installation
    • MatchFlow
    • Matchflow Examples
    • Metrics
    • Goal Models
    • Ratings / Rankings
    • Scrapers
    • Visualizations
    • API Reference
    • Changelog
    • Roadmap
    • References
  • GitHub
  • Backtest
  • Betting Utilities
  • Fantasy Premier League
  • Implied Odds
  • Installation
  • MatchFlow
  • Matchflow Examples
  • Metrics
  • Goal Models
  • Ratings / Rankings
  • Scrapers
  • Visualizations
  • API Reference
  • Changelog
  • Roadmap
  • References
  • GitHub

Table of Contents

Table of Contents

  • Backtest
  • Betting Utilities
  • Fantasy Premier League
  • Implied Odds
  • Installation
  • MatchFlow
  • Matchflow Examples
  • Metrics
  • Goal Models
  • Ratings / Rankings
  • Scrapers
  • Visualizations

Resources & References

  • API Reference
  • Changelog
  • Roadmap
  • References
  • Metrics

Metrics#

Useful functions for working with football (soccer) data, such as ranked probability scores (RPS) for measuring the performance of football model predictions.

You can see article here for more details on selecting metrics in football analytics: https://pena.lt/y/2025/05/01/better-metrics-for-football-forecasts-moving-beyond-the-ranked-probability-score/

Examples:

  • Ignorance Score
  • Multiclass Briar Score
  • Ranked Probability Scores (RPS)

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📍 Recipe: Touch Location Heatmap for a Player

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Ignorance Score

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