Final score 0-1. Below is what the model published before kick-off, and how each market was graded.
24 October 2026 at 18:00 UTC
| Market | Model says | Probability |
|---|---|---|
| Match result Miss | Zambia U17 Women win | 38% |
| Both teams to score Hit | Not both | 54% |
| Over / under Hit | Under 3.5 goals | 81% |
| Double chance Hit | Zambia U17 Women or France U17 Women | 70% |
| Clean sheet Miss | Zambia U17 Women clean sheet | 35% |
| Correct score Miss | 1-1 | 14% |
| First goal Miss | Zambia U17 Women score first | 47% |
| Half time / full time Miss | Zambia U17 Women / Zambia U17 Women | 22% |
| 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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