β Ligue 1 2005-06 Β· Sat, May 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 |
|---|
| Lille OSC win | 39% | 31% | 2.37 | fair |
| Olympique Lyonnais win | 31% | 43% | 3.00 | value: +30% |
| Draw | 30% | 26% | 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
| 1 | Half-time score | 0 |
| 18 | Shots | 11 |
| 13 | On target | 0 |
| 1 | Yellow cards | 0 |
| 0 | Red cards | 0 |
Pre-match form
What each side looked like walking in β computed only from games before this one.