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2. Bundesliga
Nurnberg
U T S T T
1–1
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

Nurnberg Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,2
Over 2.5 Ø 67%
50%
83%
Both score Ø 42%
33%
50%
Average goals
2,2
2,7
Scored
0,8
1,3
Conceded
1,3
1,3
Goal diff per game
-0,5
+0,0
This season — 2. Bundesliga · 26/26 matches
Win Ø 33%
27%
38%
Points per game
1,1
1,4
Over 2.5 Ø 54%
54%
54%
Both score Ø 54%
54%
54%
Average goals
3,1
2,8
Scored
1,3
1,4
Conceded
1,8
1,3
Goal diff per game
-0,5
+0,1
🔒 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: 0–0

13 Shots 7
3 Shots on target 2
10 Corners 3
12 Free kicks against 11
5 Yellow cards 3
0 Red cards 0
The table before the match Nurnberg 15. · Erzgebirge Aue 6.
# Team K V U T +/− P
1 Bielefeld 26 14 10 2 +26 52
2 Hamburg 26 12 9 5 +20 45
3 Stuttgart 26 13 6 7 +12 45
4 Heidenheim 26 11 8 7 +5 41
5 Greuther Furth 26 10 7 9 +4 37
6 Erzgebirge Aue 26 10 7 9 +2 37
7 Darmstadt 26 8 12 6 -2 36
8 Holstein Kiel 26 9 8 9 +0 35
9 St Pauli 26 8 9 9 +2 33
10 Regensburg 26 9 6 11 -6 33
11 Hannover 25 8 8 9 -3 32
12 Bochum 26 7 10 9 -2 31
13 Osnabruck 26 7 9 10 -3 30
14 Sandhausen 26 6 11 9 -5 29
15 Nurnberg 26 7 8 11 -12 29
16 Wehen 26 7 7 12 -11 28
17 Karlsruhe 26 6 9 11 -11 27
18 Dresden 25 6 6 13 -16 24

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
1,96
U ✓
3,40
B
3,83
Over/under goals
O1,5 ✓
O2,5
1,94
U2,5 ✓
1,86
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.