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Championship
Referee: Stephen Martin
Nott'm Forest
S T T T U
1–1
Full-time
Reading
U T S T T

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

Nott'm Forest Reading
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,7
0,7
Over 2.5 Ø 25%
17%
33%
Both score Ø 17%
0%
33%
Average goals
1,7
2,0
Scored
0,3
0,7
Conceded
1,3
1,3
Goal diff per game
-1,0
-0,7
This season — Championship · 32/31 matches
Win Ø 30%
34%
26%
Points per game
1,1
1,0
Over 2.5 Ø 46%
50%
42%
Both score Ø 48%
44%
52%
Average goals
2,7
2,4
Scored
1,1
1,1
Conceded
1,6
1,3
Goal diff per game
-0,5
-0,2
🔒 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: 0–1

48% Possession 52%
19 Shots 8
7 Shots on target 3
4 Blocked shots 2
2 Goalkeeper saves 5
5 Corners 5
3 Offside 1
17 Free kicks against 9
3 Yellow cards 3
0 Red cards 0
The table before the match Nott'm Forest 17. · Reading 18.
# Team K V U T +/− P
1 Wolves 32 22 6 4 +33 72
2 Cardiff 32 18 7 7 +21 61
3 Derby 31 16 9 6 +22 57
4 Fulham 30 15 9 6 +19 54
5 Bristol City 32 14 11 7 +9 53
6 Aston Villa 29 15 7 7 +17 52
7 Preston 32 12 14 6 +8 50
8 Sheffield United 31 15 4 12 +7 49
9 Middlesbrough 30 14 5 11 +11 47
10 Brentford 32 12 11 9 +5 47
11 Leeds 32 13 6 13 +3 45
12 Ipswich 32 13 6 13 +2 45
13 Norwich 32 12 9 11 -3 45
14 Millwall 32 10 12 10 +3 42
15 QPR 32 10 9 13 -9 39
16 Sheffield Weds 32 8 13 11 -4 37
17 Nott'm Forest 32 11 3 18 -15 36
18 Reading 31 8 8 15 -7 32
19 Birmingham 32 8 6 18 -22 30
20 Bolton 32 7 9 16 -23 30
21 Hull 31 6 11 14 -5 29
22 Barnsley 31 6 10 15 -15 28
23 Sunderland 32 5 11 16 -23 26
24 Burton Albion 32 6 8 18 -34 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.

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