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2. Bundesliga
Nurnberg
S U T U T
1–5
Full-time
Bielefeld
T S U S S

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 Bielefeld
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
1,0
2,2
Over 2.5 Ø 42%
50%
33%
Both score Ø 67%
83%
50%
Average goals
3,5
2,5
Scored
1,8
1,7
Conceded
1,7
0,8
Goal diff per game
+0,2
+0,8
This season — 2. Bundesliga · 12/12 matches
Win Ø 42%
25%
58%
Points per game
1,2
2,1
Over 2.5 Ø 54%
58%
50%
Both score Ø 67%
67%
67%
Average goals
3,5
3,1
Scored
1,7
2,0
Conceded
1,8
1,1
Goal diff per game
-0,2
+0,9
🔒 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: 0–3

14 Shots 9
5 Shots on target 6
8 Corners 1
12 Free kicks against 8
2 Yellow cards 2
0 Red cards 0
The table before the match Nurnberg 13. · Bielefeld 2.
# Team K V U T +/− P
1 Hamburg 13 7 5 1 +18 26
2 Bielefeld 12 7 4 1 +11 25
3 Stuttgart 13 7 2 4 +2 23
4 Erzgebirge Aue 12 5 4 3 +1 19
5 Greuther Furth 13 5 3 5 -2 18
6 Heidenheim 12 4 5 3 +3 17
7 Sandhausen 13 4 5 4 +0 17
8 Regensburg 12 4 4 4 +4 16
9 Osnabruck 13 4 4 5 +2 16
10 St Pauli 13 3 6 4 +0 15
11 Karlsruhe 12 3 6 3 -2 15
12 Holstein Kiel 13 4 3 6 -3 15
13 Nurnberg 12 3 5 4 -2 14
14 Hannover 12 3 5 4 -4 14
15 Darmstadt 12 3 5 4 -4 14
16 Bochum 13 2 7 4 -2 13
17 Dresden 13 3 3 7 -10 12
18 Wehen 13 2 4 7 -12 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
2,91
U
3,46
B ✓
2,32
Over/under goals
O1,5 ✓
O2,5 ✓
1,70
U2,5
2,15
O3,5 ✓
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.