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2. Bundesliga
Bochum
U U S U T
3–1
Full-time
Nurnberg
U S U T U

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

Bochum Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,2
1,2
Over 2.5 Ø 67%
83%
50%
Both score Ø 92%
100%
83%
Average goals
4,0
3,8
Scored
2,0
2,2
Conceded
2,0
1,7
Goal diff per game
+0,0
+0,5
This season — 2. Bundesliga · 11/11 matches
Win Ø 18%
9%
27%
Points per game
0,8
1,3
Over 2.5 Ø 69%
82%
55%
Both score Ø 78%
91%
64%
Average goals
4,0
3,5
Scored
1,8
1,7
Conceded
2,2
1,7
Goal diff per game
-0,4
+0,0
🔒 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: 3–0

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

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 ✓
2,67
U
3,44
B
2,49
Over/under goals
O1,5 ✓
O2,5 ✓
1,64
U2,5
2,24
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.