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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Wolves
Newcastle
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 |
Arsenal
|
4 | 4 | 0 | 0 | +8 | 12 |
| 2 |
Man City
|
4 | 3 | 1 | 0 | +8 | 10 |
| 3 |
Brighton
|
4 | 3 | 1 | 0 | +4 | 10 |
| 4 |
Tottenham
|
3 | 2 | 1 | 0 | +4 | 7 |
| 5 |
Leeds
|
4 | 2 | 1 | 1 | +3 | 7 |
| 6 |
Chelsea
|
4 | 2 | 1 | 1 | -1 | 7 |
| 7 |
Man United
|
4 | 2 | 0 | 2 | -3 | 6 |
| 8 |
Liverpool
|
4 | 1 | 2 | 1 | +8 | 5 |
| 9 |
Brentford
|
4 | 1 | 2 | 1 | +3 | 5 |
| 10 |
Newcastle
|
3 | 1 | 2 | 0 | +2 | 5 |
| 11 |
Fulham
|
4 | 1 | 2 | 1 | +0 | 5 |
| 12 |
Nott'm Forest
|
3 | 1 | 1 | 1 | -1 | 4 |
| 13 |
Crystal Palace
|
4 | 1 | 1 | 2 | -2 | 4 |
| 14 |
Southampton
|
4 | 1 | 1 | 2 | -3 | 4 |
| 15 |
Aston Villa
|
3 | 1 | 0 | 2 | -3 | 3 |
| 16 |
Bournemouth
|
4 | 1 | 0 | 3 | -14 | 3 |
| 17 |
Everton
|
4 | 0 | 2 | 2 | -2 | 2 |
| 18 |
Wolves
|
3 | 0 | 1 | 2 | -2 | 1 |
| 19 |
Leicester
|
4 | 0 | 1 | 3 | -4 | 1 |
| 20 |
West Ham
|
3 | 0 | 0 | 3 | -5 | 0 |
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.
José Sá
G
Nélson Semedo
D
N. Collins
D
M. Kilman
D
Jonny Castro
D
Matheus Nunes
M
João Moutinho
M
Gonçalo Guedes
F
R. Jiménez
F
Pedro Neto
F
Coach: Bruno Lage
N. Pope
G
K. Trippier
D
F. Schär
D
S. Botman
D
J. Willock
M
S. Longstaff
M
C. Wood
F
Coach: E. Howe
Green columns are the outcomes that came in.
Wolves
Preston
Tottenham
Wolves
Wolves
Fulham
Leeds
Wolves
Liverpool
Wolves
P Bankes · 156 kamper i vår database
🟥 Red cards: 0,12 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.