Predictive Football Modeling & Quantitative Analytics
Explore the mathematics behind sports forecasting. From Dixon-Coles bivariate Poisson score distributions to Shin margin removal and nightly Brier calibration, read our in-depth research guides.
The Mathematics of Football: How Poisson & Dixon-Coles Predict Scorelines
A rigorous breakdown of bivariate Poisson processes, attack/defence intensity parameters, and the Dixon-Coles low-scoreline correction.
Market AnalyticsWhy Bookmaker Odds Are Biased: Margin Removal & Shin's Method
How the bookmaker overround distorts raw prices, and how Shin's model separates informed insider action from public noise.
Machine LearningProbability Calibration & Brier Scores: How Models Learn From Errors
Why accuracy percentage is a misleading metric in sports forecasting, and how Brier score holdout evaluation guarantees honest probabilities.
Market Deep DiveBoth Teams to Score (BTTS): Beyond Simple Win/Loss Records
Why league standings deceive BTTS analysis, and how possession pace, shot conversion, and defensive vulnerability dictate goal exchange.
Bankroll & StrategyManaging Variance in Sports Analytics: A Quantitative View on Value
Mathematical principles of variance, Expected Value (EV), drawdown probability, and the psychological discipline required for long-term forecasting.