β Ligue 1 2013-14 Β· Sun, Apr 6, 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 |
|---|
| Valenciennes win | 36% | 25% | 2.71 | fair |
| Olympique Lyonnais win | 35% | 40% | 2.78 | value: +10% |
| Draw | 29% | 35% | 3.44 | value: +21% |
across 1 bookmaker Β· probabilities de-vigged (bookmaker margin removed)
The match in numberswhat happened + what each side looked like walking in
Match stats
| 0 | Half-time score | 1 |
| 8 | Shots | 9 |
| 3 | On target | 2 |
| 3 | Corners | 3 |
| 16 | Fouls | 14 |
| 4 | Yellow cards | 3 |
| 1 | Red cards | 1 |
Pre-match form
What each side looked like walking in β computed only from games before this one.