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Championship
Referee: Nigel Miller
Wolves
T S T U U
0–0
Full-time

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Wolves Milton Keynes Dons
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,7
Over 2.5 Ø 33%
33%
33%
Both score Ø 33%
33%
33%
Average goals
2,2
2,2
Scored
0,8
0,5
Conceded
1,3
1,7
Goal diff per game
-0,5
-1,2
This season — Championship · 17/17 matches
Win Ø 27%
29%
24%
Points per game
1,2
0,9
Over 2.5 Ø 47%
53%
41%
Both score Ø 47%
53%
41%
Average goals
2,6
2,3
Scored
1,3
0,9
Conceded
1,4
1,4
Goal diff per game
-0,1
-0,5
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–0

54% Possession 46%
16 Shots 7
6 Shots on target 3
2 Blocked shots 0
3 Goalkeeper saves 6
5 Corners 1
3 Offside 0
0 Free kicks against 0
0 Yellow cards 5
0 Red cards 0
The table before the match Wolves 14. · Milton Keynes Dons 22.
# Team K V U T +/− P
1 Hull 17 10 5 2 +18 35
2 Brighton 16 9 7 0 +9 34
3 Middlesbrough 17 10 3 4 +13 33
4 Derby 17 9 6 2 +13 33
5 Burnley 17 9 6 2 +9 33
6 Birmingham 17 8 4 5 +6 28
7 Ipswich 18 7 7 4 +3 28
8 Reading 17 7 6 4 +7 27
9 Sheffield Weds 16 7 5 4 +3 26
10 Cardiff 17 6 7 4 +3 25
11 Brentford 17 7 3 7 -1 24
12 Fulham 17 5 6 6 +1 21
13 Blackburn 17 4 8 5 +1 20
14 Wolves 17 5 5 7 -1 20
15 QPR 17 5 5 7 -3 20
16 Leeds 17 4 7 6 -4 19
17 Preston 17 3 8 6 -3 17
18 Nott'm Forest 17 4 5 8 -5 17
19 Bristol City 17 3 7 7 -9 16
20 Charlton 18 4 4 10 -14 16
21 Huddersfield 17 3 6 8 -9 15
22 Milton Keynes Dons 17 4 3 10 -9 15
23 Rotherham 17 3 3 11 -15 12
24 Bolton 17 1 8 8 -13 11

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.