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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Leeds
Bournemouth
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: 1–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Arsenal
|
12 | 10 | 1 | 1 | +19 | 31 |
| 2 |
Man City
|
12 | 9 | 2 | 1 | +26 | 29 |
| 3 |
Tottenham
|
13 | 8 | 2 | 3 | +10 | 26 |
| 4 |
Newcastle
|
13 | 6 | 6 | 1 | +14 | 24 |
| 5 |
Man United
|
12 | 7 | 2 | 3 | +1 | 23 |
| 6 |
Chelsea
|
12 | 6 | 3 | 3 | +2 | 21 |
| 7 |
Fulham
|
13 | 5 | 4 | 4 | +0 | 19 |
| 8 |
Brighton
|
12 | 5 | 3 | 4 | +4 | 18 |
| 9 |
Liverpool
|
12 | 4 | 4 | 4 | +8 | 16 |
| 10 |
Crystal Palace
|
12 | 4 | 4 | 4 | -3 | 16 |
| 11 |
Brentford
|
13 | 3 | 6 | 4 | -3 | 15 |
| 12 |
Everton
|
13 | 3 | 5 | 5 | -1 | 14 |
| 13 |
West Ham
|
13 | 4 | 2 | 7 | -2 | 14 |
| 14 |
Bournemouth
|
13 | 3 | 4 | 6 | -16 | 13 |
| 15 |
Leeds
|
12 | 3 | 3 | 6 | -4 | 12 |
| 16 |
Southampton
|
13 | 3 | 3 | 7 | -9 | 12 |
| 17 |
Aston Villa
|
13 | 3 | 3 | 7 | -9 | 12 |
| 18 |
Leicester
|
13 | 3 | 2 | 8 | -4 | 11 |
| 19 |
Wolves
|
13 | 2 | 4 | 7 | -13 | 10 |
| 20 |
Nott'm Forest
|
13 | 2 | 3 | 8 | -20 | 9 |
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.
I. Meslier
G
R. Kristensen
D
R. Koch
D
P. Struijk
D
T. Adams
M
Marc Roca
M
B. Aaronson
M
Coach: J. Marsch
M. Travers
G
C. Mepham
D
M. Senesi
D
A. Smith
D
P. Billing
M
L. Cook
M
J. Lerma
M
M. Tavernier
M
K. Moore
F
D. Solanke
F
Coach: G. O'Neil
Green columns are the outcomes that came in.
Liverpool
Leeds
Leeds
Fulham
Leicester
Leeds
Leeds
Arsenal
Crystal Palace
Leeds
T Harrington · 156 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.