How to read football match probabilities
Read home, draw and away probabilities without confusing a forecast with a promise. Includes a worked example and a research checklist.
Understand the evidence behind a football forecast.
Learn how to read probabilities, test assumptions and identify missing information. Each guide has a worked example, clear limitations and related reading.
Start with probabilities if you are new to match research. Then compare the Poisson model with shot-based expected goals. Use the sample-size and recent-form guides to assess the evidence, and use calibration and forecast records to evaluate claims over time.
Editorial guides are separate from the live research preview. Preview fixtures have not all been independently verified. They remain outside this sitemap and are not presented as verified research facts.
How a Poisson football score model works
A practical guide to scoring rates, score grids, draw probabilities and the limits of independent Poisson football models.
Expected goals: what xG can and cannot explain
Understand shot-based expected goals, why providers differ, and why adding shot values does not give the chance of scoring at least once.
Why sample size matters in football research
Avoid overreading five-match form. Learn how sample size, selection and recency weights affect the strength of football evidence.
Calibration, Brier score and football forecast accuracy
Evaluate probabilities with calibration and Brier scores. Includes a three-outcome example and rules for a fair forecast record.
How to compare football form without ignoring the opponent
Compare recent results using opponent strength, venue, competition and timing instead of relying only on a five-match form string.
What an honest football forecast record should contain
A practical standard for timestamped football forecasts: original probabilities, verified outcomes, exclusions, revisions and reproducible scoring.
A football match research checklist
Check fixture identity, data freshness, form, missing lineups and forecast records before drawing conclusions from football statistics.