β Ligue 1 2007-08 Β· Sat, May 3, 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 |
|---|
| Caen win | 37% | 40% | 2.50 | fair |
| Stade Rennais FC 1901 win | 32% | 28% | 3.00 | fair |
| Draw | 31% | 32% | 3.00 | 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
| 0 | Half-time score | 1 |
| 23 | Shots | 11 |
| 10 | On target | 5 |
| 7 | Corners | 3 |
| 19 | Fouls | 27 |
| 0 | Yellow cards | 1 |
| 0 | Red cards | 1 |
Pre-match form
What each side looked like walking in β computed only from games before this one.