Methodology
How FoulTruth_Ai analyzes officiating calls, scores confidence, and surfaces patterns — explained in plain language.
How calls are judged
For each call in our database, we assemble structured context (game state, players involved, official assignment) and unstructured context (Last Two Minute report excerpts, play-by-play descriptions, video when available). Multiple AI models then independently produce a judgment: correct, incorrect, missed, or inconclusive. The latest judgement is the one displayed.
Confidence scoring
Each judgment includes a confidence score from 0 to 100. Higher confidence means the available evidence strongly supports the verdict. Low confidence is shown explicitly — we never hide uncertainty. Confidence is not a probability; it is an analytical estimate from the model.
Provenance & sources
Every judgement is paired with linked sources: the L2M report row, the play-by-play event, the box score, or the original video. If a source cannot be cited, the judgement is marked accordingly and downgraded in confidence.
L2M usage
The NBA's Last Two Minute reports are an authoritative public source for late-game review. We ingest them, link each row to its underlying call where possible, and use them as primary evidence when judging final-period plays.
What "Bias Score" means
A bias score is an aggregate analytical estimate — not an accusation. It compares the rate at which an official's calls go for or against a given team, player, or context, relative to a baseline. A non-zero bias score reflects a statistical pattern in our judged sample, not intent or wrongdoing.
Limitations
- AI can be wrong. Judgements are model output, not ground truth.
- Coverage is incomplete: not every play in every league has full evidence.
- Bias scores are analytical estimates from a finite sample. They are not legal, professional, or officiating findings.
- Scores and judgements are not accusations against any official, player, or team.
- This site is independent and not affiliated with any league or governing body.