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AI methodology and accuracy measurement

Tahminator forecasts are decision-support summaries built from official bulletins and verifiable match data. The goal is a repeatable, measurable workflow, not a promise of certainty.

1. 1. Input layer

Schedule, competition, teams or players, official market lines, odds distribution, goal/point/set markets and official live status are read together. Missing data is marked as missing and is not replaced with an invented score.

2. 2. Scenario layer

Suitable markets such as match result, handicap, totals, both teams to score, sets or periods are compared by sport. A main selection is shown only when supporting signals align; high-risk fixtures can be skipped.

3. 3. News and availability

Injury, suspension, lineup and team-news effects are recorded only when the source context is verified. A revision does not silently erase the original forecast; the reason and timing remain visible.

4. 4. Confiance band

Confiance combines market separation, market agreement, data completeness, risk filters and verified news impact. It is not a guaranteed probability, and skipped fixtures are excluded from average confidence.

5. 5. Resultatat comparison

A forecast is evaluated only after an official result is final. Gagné, lost or pending is calculated by comparing the saved selection with the verified result. No score is written when the result is unavailable.

6. Performance metric

Only settled matches with a saved forecast are counted. En attente, postponed, cancelled and skipped fixtures are excluded. If the sample is small, the panel reports insufficient data instead of presenting a misleading rate.