Premier League
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Everton
Wolves
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Man City
|
37 | 26 | 5 | 6 | +46 | 83 |
| 2 |
Man United
|
37 | 20 | 11 | 6 | +28 | 71 |
| 3 |
Chelsea
|
37 | 19 | 10 | 8 | +23 | 67 |
| 4 |
Leicester
|
37 | 20 | 6 | 11 | +20 | 66 |
| 5 |
Liverpool
|
36 | 18 | 9 | 9 | +21 | 63 |
| 6 |
Tottenham
|
36 | 17 | 8 | 11 | +22 | 59 |
| 7 |
West Ham
|
36 | 17 | 8 | 11 | +10 | 59 |
| 8 |
Leeds
|
37 | 17 | 5 | 15 | +6 | 56 |
| 9 |
Everton
|
36 | 16 | 8 | 12 | +3 | 56 |
| 10 |
Arsenal
|
36 | 16 | 7 | 13 | +12 | 55 |
| 11 |
Aston Villa
|
36 | 14 | 7 | 15 | +7 | 49 |
| 12 |
Wolves
|
36 | 12 | 9 | 15 | -14 | 45 |
| 13 |
Crystal Palace
|
36 | 12 | 8 | 16 | -21 | 44 |
| 14 |
Southampton
|
37 | 12 | 7 | 18 | -18 | 43 |
| 15 |
Brighton
|
37 | 9 | 14 | 14 | -4 | 41 |
| 16 |
Burnley
|
36 | 10 | 9 | 17 | -18 | 39 |
| 17 |
Newcastle
|
36 | 10 | 9 | 17 | -19 | 39 |
| 18 |
Fulham
|
37 | 5 | 13 | 19 | -24 | 28 |
| 19 |
West Brom
|
36 | 5 | 11 | 20 | -37 | 26 |
| 20 |
Sheffield United
|
36 | 6 | 2 | 28 | -43 | 20 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Jordan Pickford
G
Ben Godfrey
D
Yerry Mina
D
Michael Keane
D
Lucas Digne
D
Richarlison
F
Dominic Calvert-Lewin
F
John Ruddy
G
Max Kilman
D
Nélson Semedo
M
João Moutinho
M
Rayan Aït Nouri
M
Morgan Gibbs-White
F
Adama Traoré
F
Fábio Silva
F
Green columns are the outcomes that came in.
Everton
Sheffield United
Aston Villa
Everton
West Ham
Everton
Everton
Aston Villa
Arsenal
Everton
A Madley · 167 kamper i vår database
🟥 Red cards: 0,14 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.