Final score 3-0. Below is what the model published before kick-off, and how each market was graded.
24 October 2026 at 15:00 UTC
| Market | Model says | Probability |
|---|---|---|
| Match result Hit | Brazil U17 Women win | 40% |
| Both teams to score Hit | Not both | 55% |
| Over / under Hit | Under 3.5 goals | 82% |
| Double chance Hit | Brazil U17 Women or Norway U17 Women | 70% |
| Clean sheet Hit | Brazil U17 Women clean sheet | 36% |
| Correct score Miss | 1-1 | 14% |
| First goal | Brazil U17 Women score first | 48% |
| Half time / full time | Brazil U17 Women / Brazil U17 Women | 23% |
| 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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