β Ligue 1 2010-11 Β· Sat, May 21, 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 |
|---|
| Stade Rennais FC 1901 win | 50% | 49% | 1.91 | fair |
| Draw | 28% | 25% | 3.40 | fair |
| Nancy win | 22% | 26% | 4.50 | value: +18% |
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 |
| 4 | Shots | 14 |
| 2 | On target | 5 |
| 4 | Corners | 2 |
| 18 | Fouls | 12 |
| 1 | Yellow cards | 1 |
| 0 | Red cards | 0 |
Pre-match form
What each side looked like walking in β computed only from games before this one.