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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Brighton
Nott'm Forest
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 |
Arsenal
|
10 | 9 | 0 | 1 | +14 | 27 |
| 2 |
Man City
|
10 | 7 | 2 | 1 | +23 | 23 |
| 3 |
Tottenham
|
10 | 7 | 2 | 1 | +12 | 23 |
| 4 |
Chelsea
|
9 | 6 | 1 | 2 | +5 | 19 |
| 5 |
Man United
|
9 | 5 | 1 | 3 | -2 | 16 |
| 6 |
Newcastle
|
10 | 3 | 6 | 1 | +8 | 15 |
| 7 |
Brighton
|
9 | 4 | 2 | 3 | +3 | 14 |
| 8 |
Liverpool
|
9 | 3 | 4 | 2 | +9 | 13 |
| 9 |
Brentford
|
10 | 3 | 4 | 3 | +1 | 13 |
| 10 |
Bournemouth
|
10 | 3 | 4 | 3 | -12 | 13 |
| 11 |
Fulham
|
10 | 3 | 3 | 4 | -4 | 12 |
| 12 |
West Ham
|
10 | 3 | 2 | 5 | -2 | 11 |
| 13 |
Crystal Palace
|
9 | 2 | 4 | 3 | -2 | 10 |
| 14 |
Everton
|
10 | 2 | 4 | 4 | -3 | 10 |
| 15 |
Leeds
|
9 | 2 | 3 | 4 | -2 | 9 |
| 16 |
Aston Villa
|
10 | 2 | 3 | 5 | -6 | 9 |
| 17 |
Wolves
|
10 | 2 | 3 | 5 | -8 | 9 |
| 18 |
Southampton
|
10 | 2 | 2 | 6 | -9 | 8 |
| 19 |
Leicester
|
10 | 1 | 2 | 7 | -9 | 5 |
| 20 |
Nott'm Forest
|
10 | 1 | 2 | 7 | -16 | 5 |
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.
Robert Sánchez
G
J. Veltman
D
L. Dunk
D
A. Mac Allister
M
M. Caicedo
M
L. Trossard
M
P. Groß
F
D. Welbeck
F
Coach: R. De Zerbi
D. Henderson
G
N. Williams
D
R. Yates
M
R. Freuler
M
O. Mangala
M
M. Gibbs-White
F
B. Johnson
F
Coach: S. Cooper
Green columns are the outcomes that came in.
Brentford
Brighton
Brighton
Tottenham
Liverpool
Brighton
Brighton
Leicester
Fulham
Brighton
D England · 172 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.