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Championship
Referee: James Adcock
Bristol City
U S S T T
3–1
Full-time
Wolves
S S S S S

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

Bristol City Wolves
Last 6 — all competitions · 6/6 matches
Win Ø 58%
33%
83%
Points per game
1,3
2,7
Over 2.5 Ø 42%
33%
50%
Both score Ø 34%
17%
50%
Average goals
2,3
2,2
Scored
1,0
1,7
Conceded
1,3
0,5
Goal diff per game
-0,3
+1,2
This season — Championship · 40/39 matches
Win Ø 32%
28%
36%
Points per game
1,0
1,3
Over 2.5 Ø 53%
55%
51%
Both score Ø 55%
53%
56%
Average goals
2,8
2,5
Scored
1,3
1,3
Conceded
1,5
1,3
Goal diff per game
-0,3
+0,0
🔒 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: 2–0

45% Possession 55%
6 Shots 10
4 Shots on target 4
1 Blocked shots 2
3 Goalkeeper saves 1
3 Corners 5
0 Offside 2
9 Free kicks against 18
1 Yellow cards 1
0 Red cards 0
The table before the match Bristol City 21. · Wolves 15.
# Team K V U T +/− P
1 Brighton 41 26 8 7 +34 86
2 Newcastle 40 26 6 8 +40 84
3 Huddersfield 36 22 5 9 +8 71
4 Reading 37 21 7 9 +10 70
5 Leeds 40 21 6 13 +13 69
6 Fulham 38 16 13 9 +14 61
7 Preston 40 16 13 11 +11 61
8 Sheffield Weds 38 17 9 12 +8 60
9 Derby 40 16 11 13 +6 59
10 Norwich 40 16 9 15 +4 57
11 Aston Villa 40 15 12 13 +3 57
12 Brentford 40 16 8 16 +7 56
13 Barnsley 40 14 11 15 +0 53
14 Cardiff 40 14 10 16 -3 52
15 Wolves 39 14 9 16 +1 51
16 QPR 41 14 8 19 -8 50
17 Ipswich 40 11 16 13 -6 49
18 Birmingham 40 11 13 16 -18 46
19 Burton Albion 40 11 11 18 -14 44
20 Nott'm Forest 40 11 9 20 -12 42
21 Bristol City 40 11 8 21 -10 41
22 Blackburn 40 9 13 18 -14 40
23 Wigan 40 8 10 22 -17 34
24 Rotherham 40 4 5 31 -57 17

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.