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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Chelsea
Swansea
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 |
Chelsea
|
25 | 19 | 3 | 3 | +34 | 60 |
| 2 |
Man City
|
25 | 16 | 4 | 5 | +22 | 52 |
| 3 |
Tottenham
|
25 | 14 | 8 | 3 | +28 | 50 |
| 4 |
Arsenal
|
25 | 15 | 5 | 5 | +26 | 50 |
| 5 |
Liverpool
|
25 | 14 | 7 | 4 | +24 | 49 |
| 6 |
Man United
|
25 | 13 | 9 | 3 | +17 | 48 |
| 7 |
Everton
|
25 | 11 | 8 | 6 | +13 | 41 |
| 8 |
West Brom
|
25 | 10 | 7 | 8 | +3 | 37 |
| 9 |
Stoke
|
25 | 8 | 8 | 9 | -6 | 32 |
| 10 |
West Ham
|
25 | 9 | 5 | 11 | -9 | 32 |
| 11 |
Southampton
|
25 | 8 | 6 | 11 | -3 | 30 |
| 12 |
Burnley
|
25 | 9 | 3 | 13 | -9 | 30 |
| 13 |
Watford
|
25 | 8 | 6 | 11 | -13 | 30 |
| 14 |
Bournemouth
|
25 | 7 | 5 | 13 | -14 | 26 |
| 15 |
Swansea
|
25 | 7 | 3 | 15 | -23 | 24 |
| 16 |
Middlesbrough
|
25 | 4 | 10 | 11 | -8 | 22 |
| 17 |
Leicester
|
25 | 5 | 6 | 14 | -19 | 21 |
| 18 |
Hull
|
25 | 5 | 5 | 15 | -27 | 20 |
| 19 |
Crystal Palace
|
25 | 5 | 4 | 16 | -14 | 19 |
| 20 |
Sunderland
|
25 | 5 | 4 | 16 | -22 | 19 |
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.
Green columns are the outcomes that came in.
Burnley
Chelsea
Chelsea
Arsenal
Liverpool
Chelsea
Chelsea
Hull
Leicester
Chelsea
Neil Swarbrick · 72 kamper i vår database
🟥 Red cards: 0,07 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.