β EFL League Two 2019-20 Β· Tue, Mar 10, 07:45 PM UTC Β· ref: G. Salisbury
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 |
|---|
| Newport County win | 35% | 29% | 2.84 | fair |
| Carlisle win | 33% | 28% | 2.96 | fair |
| Draw | 33% | 44% | 3.00 | value: +32% |
across 3 bookmakers Β· probabilities de-vigged (bookmaker margin removed)
Asian handicap
| Outcome | Market says | Best price |
|---|
| Newport County +0 | 51% | 1.91 |
| Carlisle +0 | 49% | 1.99 |
across 2 bookmakers Β· probabilities de-vigged (bookmaker margin removed)
Will there be 3 or more goals?
| Outcome | Market says | Model says | Best price | Verdict |
|---|
| Under | 61% | 62% | 1.56 | fair |
| Over | 39% | 38% | 2.51 | fair |
across 2 bookmakers Β· probabilities de-vigged (bookmaker margin removed)
Timeline
from ESPN event data Β· goals, cards and shootout kicks
The match in numberswhat happened + what each side looked like walking in
Match stats
| 2 | Half-time score | 0 |
| 15 | Shots | 9 |
| 4 | On target | 1 |
| 8 | Corners | 4 |
| 15 | Fouls | 7 |
| 2 | 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.
Everything else we hold on this match Β· 1 more recorded fact β tap to expand