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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Man United
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 |
Liverpool
|
15 | 9 | 5 | 1 | +17 | 32 |
| 2 |
Leicester
|
16 | 9 | 2 | 5 | +9 | 29 |
| 3 |
Everton
|
15 | 9 | 2 | 4 | +7 | 29 |
| 4 |
Man United
|
14 | 8 | 3 | 3 | +7 | 27 |
| 5 |
Aston Villa
|
14 | 8 | 2 | 4 | +14 | 26 |
| 6 |
Chelsea
|
16 | 7 | 5 | 4 | +13 | 26 |
| 7 |
Tottenham
|
15 | 7 | 5 | 3 | +11 | 26 |
| 8 |
Man City
|
14 | 7 | 5 | 2 | +9 | 26 |
| 9 |
Southampton
|
16 | 7 | 5 | 4 | +6 | 26 |
| 10 |
West Ham
|
16 | 6 | 5 | 5 | +2 | 23 |
| 11 |
Leeds
|
16 | 7 | 2 | 7 | +0 | 23 |
| 12 |
Wolves
|
15 | 6 | 3 | 6 | -5 | 21 |
| 13 |
Arsenal
|
16 | 6 | 2 | 8 | -3 | 20 |
| 14 |
Crystal Palace
|
16 | 5 | 4 | 7 | -9 | 19 |
| 15 |
Newcastle
|
14 | 5 | 3 | 6 | -7 | 18 |
| 16 |
Burnley
|
15 | 4 | 4 | 7 | -11 | 16 |
| 17 |
Brighton
|
16 | 2 | 7 | 7 | -7 | 13 |
| 18 |
Fulham
|
15 | 2 | 5 | 8 | -10 | 11 |
| 19 |
West Brom
|
16 | 1 | 5 | 10 | -24 | 8 |
| 20 |
Sheffield United
|
16 | 0 | 2 | 14 | -19 | 2 |
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.
David de Gea
G
H. Maguire
D
A. Wan-Bissaka
D
N. Matić
M
Bruno Fernandes
M
M. Rashford
M
M. Greenwood
M
Coach: O. Solskjær
M. Kilman
D
R. Aït Nouri
M
João Moutinho
M
Vitinha
F
Adama Traoré
F
Pedro Neto
F
Coach: Nuno Espírito Santo
Green columns are the outcomes that came in.
Leicester
Man United
Man United
Leeds
Sheffield United
Man United
Man United
Man City
West Ham
Man United
J Moss · 55 kamper i vår database
🟥 Red cards: 0,11 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.