Final score 2-0. Below is what the model published before kick-off, and how each market was graded.
19 October 2026 at 00:06 UTC
| Market | Model says | Probability |
|---|---|---|
| Match result Hit | Tigres UANL Women win | 94% |
| Both teams to score Hit | Not both | 65% |
| Over / under Hit | Over 1.5 goals | 93% |
| Double chance Hit | Tigres UANL Women or draw | 99% |
| Clean sheet Hit | Tigres UANL Women clean sheet | 64% |
| Correct score Miss | 3-0 | 13% |
| First goal Hit | Tigres UANL Women score first | 89% |
| Half time / full time Hit | Tigres UANL Women / Tigres UANL Women | 75% |
| Total corners Hit | Over 8.5 corners | 69% |
| Total cards Hit | 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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