β EFL League Two 2014-15 Β· Fri, Apr 3, 02:00 PM UTC Β· ref: C Sarginson
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 |
|---|
| Northampton win | 39% | 38% | 2.50 | fair |
| AFC Wimbledon win | 32% | 32% | 3.07 | fair |
| Draw | 29% | 30% | 3.35 | fair |
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 | 0 |
| 9 | Shots | 11 |
| 3 | On target | 6 |
| 3 | Corners | 2 |
| 12 | Fouls | 13 |
| 2 | Yellow cards | 3 |
| 0 | Red cards | 0 |
Pre-match form
What each side looked like walking in β computed only from games before this one.