What influences the prediction.
Logistic regression contributionsThese factors explain the logistic regression model, one part of the ensemble. They describe model influence, not a fighter’s strengths or weaknesses.
Compare UFC form, statistics and fight history.
Checking data coverage…
Choose names above or load the example. The report brings their recent fights, statistics and shared opponents into one view.
Last five recorded UFC bouts, most recent first.
Partial histories, with bouts already shown in the UFC record excluded.
Choose the date, division and bout conditions.
Choose the date, division and rounds for a hypothetical matchup.
Model data through the saved dataset date. These probabilities have not passed an independent calibration check. A large number here does not establish high confidence.
Enter both moneylines from the same bookmaker. Quotes you enter are not a live feed.
| Fighter | Offered price | Break-even | Market, no margin | Your estimate | Gap | Expected return / unit |
|---|
Break-even is the win rate needed at the offered price. The market baseline removes the bookmaker’s margin by normalizing the two implied probabilities. Gap is your selected estimate minus that baseline, in percentage points.
Expected return is probability × decimal odds − 1 per unit staked. It is conditional on the probability estimate, before commissions and other fees. It is not a verified betting edge. The audited candidate has separate calibration and later-fight evaluation, but has not demonstrated a betting edge.
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