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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Wolves
Bristol 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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Burnley
|
35 | 19 | 11 | 5 | +27 | 68 |
| 2 |
Middlesbrough
|
34 | 20 | 7 | 7 | +27 | 67 |
| 3 |
Hull
|
32 | 19 | 6 | 7 | +30 | 63 |
| 4 |
Brighton
|
34 | 17 | 12 | 5 | +15 | 63 |
| 5 |
Derby
|
34 | 15 | 12 | 7 | +15 | 57 |
| 6 |
Cardiff
|
35 | 14 | 13 | 8 | +9 | 55 |
| 7 |
Birmingham
|
34 | 15 | 9 | 10 | +8 | 54 |
| 8 |
Ipswich
|
34 | 15 | 9 | 10 | +2 | 54 |
| 9 |
Sheffield Weds
|
33 | 14 | 11 | 8 | +14 | 53 |
| 10 |
Preston
|
35 | 12 | 13 | 10 | +1 | 49 |
| 11 |
Reading
|
34 | 11 | 11 | 12 | +2 | 44 |
| 12 |
QPR
|
35 | 10 | 14 | 11 | -1 | 44 |
| 13 |
Wolves
|
35 | 11 | 10 | 14 | -6 | 43 |
| 14 |
Brentford
|
35 | 12 | 7 | 16 | -7 | 43 |
| 15 |
Nott'm Forest
|
34 | 10 | 12 | 12 | +1 | 42 |
| 16 |
Leeds
|
34 | 9 | 14 | 11 | -8 | 41 |
| 17 |
Blackburn
|
34 | 9 | 13 | 12 | +1 | 40 |
| 18 |
Huddersfield
|
35 | 10 | 9 | 16 | -4 | 39 |
| 19 |
Fulham
|
35 | 8 | 13 | 14 | -5 | 37 |
| 20 |
Bristol City
|
35 | 9 | 10 | 16 | -24 | 37 |
| 21 |
Milton Keynes Dons
|
35 | 9 | 8 | 18 | -18 | 35 |
| 22 |
Rotherham
|
35 | 9 | 5 | 21 | -20 | 32 |
| 23 |
Charlton
|
35 | 6 | 10 | 19 | -34 | 28 |
| 24 |
Bolton
|
35 | 4 | 13 | 18 | -25 | 25 |
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.
Middlesbrough
Wolves
Wolves
Derby
Brentford
Wolves
Huddersfield
Wolves
Wolves
Preston
Scott Duncan · 93 kamper i vår database
🟥 Red cards: 0,26 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.