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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Newcastle
Arsenal
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
|
37 | 28 | 6 | 3 | +72 | 90 |
| 2 |
Liverpool
|
36 | 26 | 8 | 2 | +65 | 86 |
| 3 |
Chelsea
|
36 | 20 | 10 | 6 | +42 | 70 |
| 4 |
Tottenham
|
37 | 21 | 5 | 11 | +24 | 68 |
| 5 |
Arsenal
|
36 | 21 | 3 | 12 | +11 | 66 |
| 6 |
Man United
|
37 | 16 | 10 | 11 | +1 | 58 |
| 7 |
West Ham
|
37 | 16 | 8 | 13 | +11 | 56 |
| 8 |
Wolves
|
37 | 15 | 6 | 16 | -3 | 51 |
| 9 |
Leicester
|
36 | 13 | 9 | 14 | +0 | 48 |
| 10 |
Brighton
|
37 | 11 | 15 | 11 | -4 | 48 |
| 11 |
Brentford
|
37 | 13 | 7 | 17 | -7 | 46 |
| 12 |
Crystal Palace
|
36 | 10 | 15 | 11 | +4 | 45 |
| 13 |
Aston Villa
|
36 | 13 | 5 | 18 | -1 | 44 |
| 14 |
Newcastle
|
36 | 11 | 10 | 15 | -21 | 43 |
| 15 |
Southampton
|
36 | 9 | 13 | 14 | -20 | 40 |
| 16 |
Everton
|
36 | 10 | 6 | 20 | -20 | 36 |
| 17 |
Leeds
|
37 | 8 | 11 | 18 | -38 | 35 |
| 18 |
Burnley
|
36 | 7 | 13 | 16 | -18 | 34 |
| 19 |
Watford
|
37 | 6 | 5 | 26 | -42 | 23 |
| 20 |
Norwich
|
37 | 5 | 7 | 25 | -56 | 22 |
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.
M. Dúbravka
G
F. Schär
D
M. Targett
D
Bruno Guimarães
M
S. Longstaff
M
C. Wilson
F
Coach: E. Howe
T. Tomiyasu
D
Gabriel Magalhães
D
B. White
D
Nuno Tavares
D
G. Xhaka
M
M. Ødegaard
M
E. Smith Rowe
M
E. Nketiah
F
B. Saka
M
Coach: Mikel Arteta
Green columns are the outcomes that came in.
Man City
Newcastle
Newcastle
Liverpool
Norwich
Newcastle
Newcastle
Crystal Palace
Newcastle
Leicester
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.