Football prediction AI
The big picture: method, limits, probability interpretation and links to blog articles.
ExploreHub • AI • Data • Football analysis
Educational and rigorous articles to understand football prediction: probabilities (1X2, over/under, BTTS), xG, Poisson models, calibration, drift, form and match context. Foresportia is a decision-support tool: no promises, only probabilistic scenarios.
3 pages to quickly understand the vocabulary and the method, then navigate to more specialized articles.
Understanding 1X2, double chance, over/under, BTTS, exact score: probabilistic scenarios, not certainties.
What makes a probability meaningful: reliability curves, Brier/LogLoss, drift, coverage vs precision trade-offs.
Football reading: dynamics, fatigue, travel, streaks, hidden factors. Context that reshapes distributions.
Algorithm journal, updates, handling unpredictability: what happens “inside the engine”.
The complete list (search and sorting apply here as well).