β Ligue 1 2009-10 Β· Sat, May 15, 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 |
|---|
| Bordeaux win | 46% | 45% | 2.05 | fair |
| Draw | 28% | 21% | 3.30 | fair |
| Racing Club de Lens win | 25% | 34% | 3.80 | value: +28% |
across 2 bookmakers Β· probabilities de-vigged (bookmaker margin removed)
The match in numberswhat happened + what each side looked like walking in
Match stats
| 2 | Half-time score | 1 |
| 17 | Shots | 14 |
| 7 | On target | 3 |
| 3 | Corners | 2 |
| 24 | Fouls | 11 |
| 3 | Yellow cards | 2 |
| 0 | Red cards | 1 |
Pre-match form
What each side looked like walking in β computed only from games before this one.