Final score 1-2. Below is what the model published before kick-off, and how each market was graded.
25 October 2026 at 00:10 UTC
| Market | Model says | Probability |
|---|---|---|
| Match result Hit | Toluca Women win | 44% |
| Both teams to score Hit | Both score | 76% |
| Over / under Hit | Over 1.5 goals | 92% |
| Double chance Hit | Cruz Azul Women or Toluca Women | 79% |
| Clean sheet Miss | Toluca Women clean sheet | 15% |
| Correct score Hit | 1-2 | 8% |
| First goal Miss | Toluca Women score first | 52% |
| Half time / full time Miss | Toluca Women / Toluca Women | 27% |
| Total corners | Over 8.5 corners | 69% |
| Total cards | Under 5.5 cards | 74% |
Each row is a calibrated probability, not a tip. The model is fitted on historical results, re-run when the lineup lands, and every market here is settled and graded once the match is over — the verdict stays on the page whether it went our way or not. Market-level records live on the predictions board.
Every market on every match, the edge against the market price and the AI panel live in the app - and the Accuracy Ledger is free in it.
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