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
Man City
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Liverpool
|
34 | 25 | 7 | 2 | +64 | 82 |
| 2 |
Man City
|
33 | 25 | 5 | 3 | +59 | 80 |
| 3 |
Chelsea
|
33 | 19 | 9 | 5 | +40 | 66 |
| 4 |
Arsenal
|
33 | 19 | 3 | 11 | +12 | 60 |
| 5 |
Tottenham
|
33 | 18 | 4 | 11 | +18 | 58 |
| 6 |
Man United
|
35 | 15 | 10 | 10 | +2 | 55 |
| 7 |
West Ham
|
34 | 15 | 7 | 12 | +8 | 52 |
| 8 |
Wolves
|
34 | 15 | 4 | 15 | +1 | 49 |
| 9 |
Brighton
|
35 | 10 | 14 | 11 | -8 | 44 |
| 10 |
Newcastle
|
35 | 11 | 10 | 14 | -16 | 43 |
| 11 |
Leicester
|
32 | 11 | 9 | 12 | -4 | 42 |
| 12 |
Crystal Palace
|
34 | 9 | 14 | 11 | +3 | 41 |
| 13 |
Aston Villa
|
33 | 12 | 4 | 17 | -2 | 40 |
| 14 |
Brentford
|
34 | 11 | 7 | 16 | -8 | 40 |
| 15 |
Southampton
|
35 | 9 | 13 | 13 | -17 | 40 |
| 16 |
Burnley
|
34 | 7 | 13 | 14 | -15 | 34 |
| 17 |
Leeds
|
33 | 8 | 10 | 15 | -30 | 34 |
| 18 |
Everton
|
32 | 8 | 5 | 19 | -21 | 29 |
| 19 |
Watford
|
34 | 6 | 4 | 24 | -37 | 22 |
| 20 |
Norwich
|
34 | 5 | 6 | 23 | -49 | 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.
I. Meslier
G
L. Ayling
D
R. Koch
D
Junior Firpo
D
P. Struijk
D
M. Klich
M
K. Phillips
M
Raphinha
M
Coach: J. Marsch
Ederson Moraes
G
João Cancelo
D
Aymeric Laporte
D
N. Aké
D
Rúben Dias
D
İ. Gündoğan
M
J. Grealish
M
Rodri
M
P. Foden
M
Gabriel Jesus
F
Coach: Guardiola
Green columns are the outcomes that came in.
Crystal Palace
Leeds
Watford
Leeds
Leeds
Southampton
Wolves
Leeds
Leeds
Norwich
P Tierney · 131 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.