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
Leeds
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Man City
|
34 | 25 | 5 | 4 | +47 | 80 |
| 2 |
Man United
|
33 | 19 | 10 | 4 | +29 | 67 |
| 3 |
Leicester
|
34 | 19 | 6 | 9 | +22 | 63 |
| 4 |
Chelsea
|
33 | 16 | 10 | 7 | +20 | 58 |
| 5 |
West Ham
|
33 | 16 | 7 | 10 | +10 | 55 |
| 6 |
Liverpool
|
33 | 15 | 9 | 9 | +16 | 54 |
| 7 |
Tottenham
|
33 | 15 | 8 | 10 | +18 | 53 |
| 8 |
Everton
|
32 | 15 | 7 | 10 | +4 | 52 |
| 9 |
Leeds
|
33 | 14 | 5 | 14 | +0 | 47 |
| 10 |
Arsenal
|
33 | 13 | 7 | 13 | +7 | 46 |
| 11 |
Aston Villa
|
32 | 13 | 6 | 13 | +9 | 45 |
| 12 |
Wolves
|
33 | 11 | 8 | 14 | -13 | 41 |
| 13 |
Crystal Palace
|
33 | 10 | 8 | 15 | -22 | 38 |
| 14 |
Southampton
|
33 | 10 | 7 | 16 | -18 | 37 |
| 15 |
Burnley
|
33 | 9 | 9 | 15 | -15 | 36 |
| 16 |
Newcastle
|
33 | 9 | 9 | 15 | -18 | 36 |
| 17 |
Brighton
|
33 | 7 | 13 | 13 | -6 | 34 |
| 18 |
Fulham
|
33 | 5 | 12 | 16 | -18 | 27 |
| 19 |
West Brom
|
33 | 5 | 10 | 18 | -34 | 25 |
| 20 |
Sheffield United
|
33 | 5 | 2 | 26 | -38 | 17 |
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
M
L. Dunk
D
B. White
D
P. Groß
M
D. Welbeck
F
L. Trossard
F
N. Maupay
F
Coach: G. Potter
I. Meslier
G
L. Ayling
D
Llorente
D
R. Koch
M
P. Struijk
D
M. Klich
M
E. Alioski
D
P. Bamford
F
Coach: M. Bielsa
Green columns are the outcomes that came in.
Sheffield United
Brighton
Chelsea
Brighton
Brighton
Everton
Man United
Brighton
Brighton
Newcastle
C Kavanagh · 171 kamper i vår database
🟥 Red cards: 0,16 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.