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2. Bundesliga
Nurnberg
T U T T U
0–2
Full-time
Wehen
U U U T 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

Nurnberg Wehen
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,5
1,0
Over 2.5 Ø 42%
50%
33%
Both score Ø 67%
83%
50%
Average goals
3,5
2,5
Scored
1,2
1,0
Conceded
2,3
1,5
Goal diff per game
-1,2
-0,5
This season — 2. Bundesliga · 14/14 matches
Win Ø 18%
21%
14%
Points per game
1,1
0,7
Over 2.5 Ø 61%
57%
64%
Both score Ø 61%
64%
57%
Average goals
3,4
3,5
Scored
1,5
1,2
Conceded
1,9
2,3
Goal diff per game
-0,4
-1,1
🔒 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

24 Shots 5
4 Shots on target 2
5 Corners 2
13 Free kicks against 11
1 Yellow cards 1
0 Red cards 0
The table before the match Nurnberg 14. · Wehen 18.
# Team K V U T +/− P
1 Hamburg 15 8 5 2 +18 29
2 Bielefeld 14 8 5 1 +15 29
3 Stuttgart 14 8 2 4 +5 26
4 Erzgebirge Aue 14 6 5 3 +3 23
5 Heidenheim 14 5 5 4 +5 20
6 Regensburg 15 5 5 5 +3 20
7 Osnabruck 15 5 5 5 +3 20
8 Karlsruhe 15 4 7 4 -2 19
9 Greuther Furth 14 5 4 5 -2 19
10 Holstein Kiel 14 5 3 6 +0 18
11 Sandhausen 14 4 6 4 +0 18
12 Darmstadt 14 4 6 4 -3 18
13 St Pauli 14 3 6 5 -2 15
14 Nurnberg 14 3 6 5 -6 15
15 Bochum 14 2 8 4 -2 14
16 Hannover 14 3 5 6 -9 14
17 Dresden 14 3 3 8 -11 12
18 Wehen 14 2 4 8 -15 10

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
1,69
U
3,92
B ✓
4,60
Over/under goals
O1,5 ✓
O2,5
1,55
U2,5 ✓
2,41
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

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