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Championship
Referee: Keith Stroud
Burton Albion
S U U U U
1–0
Full-time
Nott'm Forest
T T U S T

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

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

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Team trends

Burton Albion Nott'm Forest
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,2
0,7
Over 2.5 Ø 58%
33%
83%
Both score Ø 67%
67%
67%
Average goals
2,0
3,7
Scored
0,8
1,5
Conceded
1,2
2,2
Goal diff per game
-0,3
-0,7
This season — Championship · 36/36 matches
Win Ø 28%
25%
31%
Points per game
1,1
1,1
Over 2.5 Ø 53%
42%
64%
Both score Ø 60%
56%
64%
Average goals
2,3
3,1
Scored
1,0
1,4
Conceded
1,3
1,7
Goal diff per game
-0,4
-0,3
🔒 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: 1–0

33% Possession 67%
9 Shots 11
1 Shots on target 3
3 Blocked shots 3
3 Goalkeeper saves 0
4 Corners 5
1 Offside 0
10 Free kicks against 8
0 Yellow cards 1
0 Red cards 0
The table before the match Burton Albion 19. · Nott'm Forest 18.
# Team K V U T +/− P
1 Newcastle 36 24 5 7 +40 77
2 Brighton 37 23 8 6 +32 77
3 Leeds 36 20 5 11 +14 65
4 Huddersfield 32 20 5 7 +9 65
5 Reading 33 18 7 8 +8 61
6 Sheffield Weds 34 16 8 10 +10 56
7 Fulham 33 14 12 7 +15 54
8 Norwich 36 15 8 13 +7 53
9 Preston 36 14 11 11 +3 53
10 Derby 37 14 10 13 +3 52
11 Barnsley 36 14 8 14 +2 50
12 Brentford 35 13 8 14 +3 47
13 Cardiff 36 13 8 15 -3 47
14 QPR 36 13 7 16 -9 46
15 Aston Villa 36 11 12 13 -4 45
16 Ipswich 36 10 14 12 -7 44
17 Birmingham 36 11 10 15 -16 43
18 Nott'm Forest 36 11 7 18 -10 40
19 Burton Albion 36 9 11 16 -13 38
20 Blackburn 35 9 10 16 -11 37
21 Wolves 34 9 9 16 -6 36
22 Bristol City 36 9 8 19 -8 35
23 Wigan 36 8 10 18 -10 34
24 Rotherham 36 4 5 27 -49 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.