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
Leicester
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
|
30 | 23 | 4 | 3 | +52 | 73 |
| 2 |
Liverpool
|
30 | 22 | 6 | 2 | +57 | 72 |
| 3 |
Chelsea
|
29 | 17 | 8 | 4 | +35 | 59 |
| 4 |
Arsenal
|
28 | 17 | 3 | 8 | +13 | 54 |
| 5 |
Tottenham
|
29 | 16 | 3 | 10 | +11 | 51 |
| 6 |
Man United
|
29 | 14 | 8 | 7 | +8 | 50 |
| 7 |
Wolves
|
31 | 15 | 4 | 12 | +6 | 49 |
| 8 |
West Ham
|
30 | 14 | 6 | 10 | +10 | 48 |
| 9 |
Aston Villa
|
30 | 11 | 3 | 16 | +0 | 36 |
| 10 |
Leicester
|
27 | 10 | 6 | 11 | -4 | 36 |
| 11 |
Southampton
|
30 | 8 | 12 | 10 | -9 | 36 |
| 12 |
Crystal Palace
|
29 | 7 | 13 | 9 | +1 | 34 |
| 13 |
Brighton
|
30 | 7 | 13 | 10 | -10 | 34 |
| 14 |
Brentford
|
31 | 9 | 6 | 16 | -11 | 33 |
| 15 |
Newcastle
|
29 | 7 | 10 | 12 | -17 | 31 |
| 16 |
Leeds
|
31 | 7 | 9 | 15 | -33 | 30 |
| 17 |
Everton
|
27 | 7 | 4 | 16 | -18 | 25 |
| 18 |
Watford
|
30 | 6 | 4 | 20 | -28 | 22 |
| 19 |
Burnley
|
28 | 3 | 12 | 13 | -18 | 21 |
| 20 |
Norwich
|
30 | 4 | 6 | 20 | -45 | 18 |
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
L. Shaw
D
Diogo Dalot
D
Fred
M
Bruno Fernandes
F
S. McTominay
M
A. Elanga
M
Coach: R. Rangnick
T. Castagne
D
J. Justin
D
W. Fofana
D
N. Mendy
M
Y. Tielemans
M
J. Maddison
M
K. Dewsbury-Hall
M
H. Barnes
M
Coach: B. Rodgers
Green columns are the outcomes that came in.
Man United
Tottenham
Man City
Man United
Man United
Watford
Leeds
Man United
Man United
Brighton
A Marriner · 74 kamper i vår database
🟥 Red cards: 0,08 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.