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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Southampton
Tottenham
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: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Man City
|
19 | 15 | 2 | 2 | +38 | 47 |
| 2 |
Liverpool
|
18 | 12 | 5 | 1 | +35 | 41 |
| 3 |
Chelsea
|
19 | 12 | 5 | 2 | +29 | 41 |
| 4 |
Arsenal
|
19 | 11 | 2 | 6 | +9 | 35 |
| 5 |
Tottenham
|
16 | 9 | 2 | 5 | +2 | 29 |
| 6 |
West Ham
|
18 | 8 | 4 | 6 | +6 | 28 |
| 7 |
Man United
|
17 | 8 | 4 | 5 | +2 | 28 |
| 8 |
Wolves
|
18 | 7 | 4 | 7 | -1 | 25 |
| 9 |
Brighton
|
17 | 5 | 8 | 4 | -1 | 23 |
| 10 |
Leicester
|
17 | 6 | 4 | 7 | -3 | 22 |
| 11 |
Aston Villa
|
18 | 7 | 1 | 10 | -4 | 22 |
| 12 |
Crystal Palace
|
18 | 4 | 8 | 6 | -3 | 20 |
| 13 |
Brentford
|
17 | 5 | 5 | 7 | -3 | 20 |
| 14 |
Southampton
|
18 | 4 | 8 | 6 | -9 | 20 |
| 15 |
Everton
|
17 | 5 | 4 | 8 | -8 | 19 |
| 16 |
Leeds
|
18 | 3 | 7 | 8 | -18 | 16 |
| 17 |
Watford
|
16 | 4 | 1 | 11 | -10 | 13 |
| 18 |
Burnley
|
15 | 1 | 8 | 6 | -7 | 11 |
| 19 |
Newcastle
|
19 | 1 | 8 | 10 | -23 | 11 |
| 20 |
Norwich
|
18 | 2 | 4 | 12 | -31 | 10 |
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.
J. Bednarek
D
R. Perraud
D
K. Walker-Peters
D
M. Salisu
D
S. Armstrong
M
J. Ward-Prowse
M
A. Armstrong
F
Coach: R. Hasenhüttl
B. Davies
D
D. Sánchez
D
P. Højbjerg
M
E. Dier
D
H. Winks
M
H. Kane
F
Coach: A. Conte
Green columns are the outcomes that came in.
West Ham
Southampton
Crystal Palace
Southampton
Arsenal
Southampton
Southampton
Brighton
Southampton
Leicester
A Taylor · 215 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.