β Ligue 1 2009-10 Β· Sun, May 2, 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 | 35% | 35% | 2.65 | fair |
| Boulogne win | 34% | 27% | 2.75 | fair |
| Draw | 30% | 37% | 3.10 | value: +16% |
across 2 bookmakers 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 |
| 20 | Shots | 11 |
| 7 | On target | 6 |
| 9 | Corners | 7 |
| 11 | Fouls | 21 |
| 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.