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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Tottenham
Burnley
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
|
36 | 28 | 5 | 3 | +72 | 89 |
| 2 |
Liverpool
|
36 | 26 | 8 | 2 | +65 | 86 |
| 3 |
Chelsea
|
36 | 20 | 10 | 6 | +42 | 70 |
| 4 |
Arsenal
|
36 | 21 | 3 | 12 | +11 | 66 |
| 5 |
Tottenham
|
36 | 20 | 5 | 11 | +23 | 65 |
| 6 |
Man United
|
37 | 16 | 10 | 11 | +1 | 58 |
| 7 |
West Ham
|
36 | 16 | 7 | 13 | +11 | 55 |
| 8 |
Wolves
|
36 | 15 | 5 | 16 | -3 | 50 |
| 9 |
Brighton
|
36 | 11 | 14 | 11 | -4 | 47 |
| 10 |
Leicester
|
35 | 12 | 9 | 14 | -4 | 45 |
| 11 |
Crystal Palace
|
35 | 10 | 14 | 11 | +4 | 44 |
| 12 |
Aston Villa
|
35 | 13 | 4 | 18 | -1 | 43 |
| 13 |
Brentford
|
36 | 12 | 7 | 17 | -8 | 43 |
| 14 |
Newcastle
|
36 | 11 | 10 | 15 | -21 | 43 |
| 15 |
Southampton
|
36 | 9 | 13 | 14 | -20 | 40 |
| 16 |
Everton
|
35 | 10 | 6 | 19 | -19 | 36 |
| 17 |
Burnley
|
35 | 7 | 13 | 15 | -17 | 34 |
| 18 |
Leeds
|
36 | 8 | 10 | 18 | -38 | 34 |
| 19 |
Watford
|
36 | 6 | 5 | 25 | -38 | 23 |
| 20 |
Norwich
|
36 | 5 | 6 | 25 | -56 | 21 |
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.
B. Davies
D
D. Sánchez
D
P. Højbjerg
M
E. Dier
D
R. Bentancur
M
R. Sessegnon
M
H. Kane
F
Coach: A. Conte
N. Pope
G
C. Taylor
D
C. Roberts
D
N. Collins
D
D. McNeil
M
Coach: M. Jackson
Green columns are the outcomes that came in.
Tottenham
Arsenal
Liverpool
Tottenham
Tottenham
Leicester
Brentford
Tottenham
Tottenham
Brighton
K Friend · 55 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.