Transparent by design
How PitchMath reads a match
PitchMath explains patterns in retained football statistics. The calculation lives in the backend; the website renders the same typed evidence without adding a second formula layer.
Season, last 10 and last 5
Each window is an unweighted average, median or frequency from completed matches before the analysis cutoff. The current fixture and future fixtures are excluded from pre-match analysis.
Home and away samples
The home team’s home matches and the away team’s away matches are shown separately. Their sample sizes stay visible because venue splits can be small.
Competition percentiles
A percentile places a recorded team value among other teams in the same competition and season. It describes relative position on that metric; it is not a chance of success.
Style profiles
Possession control, attacking volume, defensive resistance, directness, physicality, set-piece relevance and tempo are descriptive dimensions built only from available source metrics. Every dimension names its inputs and coverage.
Evidence grades
Grade A means strong samples, recent evidence and at least 80% important-metric coverage. Grade B is useful but has a limitation. Grade C is visible with limited evidence. Grade D is unavailable. A grade measures completeness, not certainty.
Missing and null data
A dash means unavailable or below the minimum observations. PitchMath preserves a plausible recorded zero, but never converts missing data to zero. Contradictory provider placeholders are rejected.
Data cutoff and recaps
Every page exposes the latest data allowed into its snapshot. After full time, a separate recap can occupy the same canonical page; the result is never presented as something the pre-match page foresaw.
The boundary
No winner or score guarantee
Historical samples cannot know lineups, injuries, tactical changes or match-state decisions. PitchMath does not calculate winner probabilities, predicted scores or advice about what someone should do.