Championship
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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Birmingham
Leeds
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 |
Burnley
|
41 | 22 | 14 | 5 | +31 | 80 |
| 2 |
Middlesbrough
|
40 | 24 | 7 | 9 | +30 | 79 |
| 3 |
Brighton
|
39 | 21 | 13 | 5 | +19 | 76 |
| 4 |
Hull
|
37 | 20 | 9 | 8 | +33 | 69 |
| 5 |
Sheffield Weds
|
38 | 18 | 11 | 9 | +19 | 65 |
| 6 |
Derby
|
39 | 17 | 13 | 9 | +16 | 64 |
| 7 |
Cardiff
|
41 | 16 | 15 | 10 | +8 | 63 |
| 8 |
Ipswich
|
41 | 16 | 12 | 13 | +0 | 60 |
| 9 |
Birmingham
|
40 | 16 | 11 | 13 | +6 | 59 |
| 10 |
Preston
|
41 | 14 | 14 | 13 | +0 | 56 |
| 11 |
QPR
|
41 | 13 | 16 | 12 | +4 | 55 |
| 12 |
Wolves
|
41 | 13 | 14 | 14 | -4 | 53 |
| 13 |
Brentford
|
40 | 15 | 7 | 18 | -4 | 52 |
| 14 |
Reading
|
40 | 13 | 12 | 15 | -1 | 51 |
| 15 |
Leeds
|
40 | 11 | 15 | 14 | -10 | 48 |
| 16 |
Blackburn
|
41 | 11 | 14 | 16 | -1 | 47 |
| 17 |
Fulham
|
41 | 11 | 14 | 16 | -4 | 47 |
| 18 |
Bristol City
|
41 | 12 | 11 | 18 | -19 | 47 |
| 19 |
Huddersfield
|
41 | 12 | 10 | 19 | -5 | 46 |
| 20 |
Nott'm Forest
|
41 | 11 | 13 | 17 | -7 | 46 |
| 21 |
Rotherham
|
41 | 13 | 7 | 21 | -13 | 46 |
| 22 |
Milton Keynes Dons
|
41 | 9 | 10 | 22 | -25 | 37 |
| 23 |
Charlton
|
41 | 8 | 12 | 21 | -35 | 36 |
| 24 |
Bolton
|
41 | 4 | 14 | 23 | -38 | 26 |
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.
C. Taylor
D
L. Cook
M
C. Wood
F
Green columns are the outcomes that came in.
Reading
Birmingham
Birmingham
Brighton
Charlton
Birmingham
Birmingham
Fulham
Wolves
Birmingham
Chris Kavanagh · 136 kamper i vår database
🟥 Red cards: 0,10 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.