Probabilistic Models
League-adjusted Dixon-Coles models, Poisson projections and Monte Carlo simulations.
Football analytics beyond traditional statistics.
Football Hacking combines league-adjusted Dixon-Coles models, Poisson projections, Monte Carlo simulations, passing networks, expected threat analytics and structural match analysis to provide deeper football intelligence. Designed for analysts, traders, researchers and football professionals seeking insights that go far beyond traditional statistics.
Web App Features
League Health Rankings
Compare leagues through structural health and network performance indicators.
Match Health Analysis
Evaluate team robustness, stability and efficiency throughout the match.
Passing Networks
Visualize team structure, player connections and collective behavior.
Dispersion Metrics
Evaluate the spread and concentration of outcome distributions.
Back/Lay Calculator
Decision-support tools for football trading and probability analysis.
Research & Newsletter
Receive in-depth football analysis, tactical studies, network interpretation, xT breakdowns and original research designed to uncover insights that traditional statistics miss.
Professional Collaboration
Custom reports for clubs, analysts, media and football technology projects.
Football Hacking is available for clubs, analysts, scouts, media organizations and football technology projects.
Collaboration can be performed remotely or on-site through custom reports, passing network analysis, xT studies, probabilistic models and match intelligence projects.