β Ligue 1 2009-10 Β· Sat, Apr 24, 02:00 PM UTC
The betting picturemarket vs our model, market by market
βMarketβ = what bookmaker prices imply after removing their margin β the world's best guess. βModelβ = what our machine-learning model said BEFORE this game, replayed honestly (it never saw the result). A bet is only interesting when the model sees something meaningfully more likely than the market does (the edge) β it's never about picking the winner.
Who wins? (90 minutes)
| Outcome | Market says | Model says | Best price | Verdict |
|---|
| OGC Nice win | 60% | 56% | 1.57 | fair |
| Draw | 26% | 29% | 3.60 | value: +4% |
| Grenoble win | 14% | 16% | 6.50 | fair |
across 2 bookmakers Β· probabilities de-vigged (bookmaker margin removed)
The match in numberswhat happened + what each side looked like walking in
Match stats
| 1 | Half-time score | 1 |
| 15 | Shots | 12 |
| 5 | On target | 7 |
| 11 | Corners | 1 |
| 18 | Fouls | 9 |
| 0 | Yellow cards | 2 |
| 0 | Red cards | 0 |
Pre-match form
What each side looked like walking in β computed only from games before this one.