Welcome to penaltyblog!

The penaltyblog Python package contains lots of useful code from http://pena.lt/y/blog for working with football (soccer) data.

penaltyblog includes functions for:

• Scraping football data from sources such as football-data.co.uk, ESPN, Club Elo, Understat and Fantasy Premier League

• Modelling of football matches using Poisson-based models, such as Dixon and Coles

• Predicting probabilities for many betting markets, e.g. Asian handicaps, over/under, total goals etc

• Modelling football team’s abilities using Massey ratings, Colley ratings and Elo ratings

• Estimating the implied odds from bookmaker’s odds by removing the overround using multiple different methods

• Backtesting betting strategies

• Mathematically optimising your fantasy football team by formation, budget etc

Installation

pip install penaltyblog

Quick Start

• Backtest
• Fantasy Premier League
• Implied Odds
• Metrics
• Models
• Ratings / Rankings
• Scrapers
• Changelog

Useful Links

• Walkthrough of using the web scrapers

• Poisson goal model example

• Dixon and Coles goal model example

• Bayesian Hierarchical goal model example

• How to calculate goal expectancy