Probability, not certainty
Each published selection is backed by a probability estimate and a confidence score. Predictions are filtered through a data-quality gate so fixtures with insufficient supporting information are not presented as normal recommendations.
Information considered
Depending on availability, the model uses recent form, home and away scoring patterns, league position, Elo-style team strength, head-to-head history, expected-goal estimates, squad availability and bookmaker prices.
Quality controls
Matches with stronger data coverage can qualify for full analysis and Banker status. Limited-data matches receive a confidence penalty. Fixtures that do not meet the minimum publication threshold remain hidden from the public prediction feed.
Performance tracking
Published predictions are retained and settled against final results. Model performance is measured over time by market and competition so poor-performing areas can be identified rather than hidden.