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2. Bundesliga

Bochum

T U U U S

3–3

Full-time

Karlsruhe

T S U U U

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.

🔒 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

Bochum Karlsruhe

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

1,2

1,0

Over 2.5 Ø 58%

83%

33%

Both score Ø 84%

100%

67%

Average goals

4,0

2,7

Scored

2,0

1,0

Conceded

2,0

1,7

Goal diff per game

+0,0

-0,7

This season — 2. Bundesliga · 9/9 matches

Win Ø 22%

11%

33%

Points per game

0,9

1,3

Over 2.5 Ø 67%

78%

56%

Both score Ø 84%

89%

78%

Average goals

3,9

3,1

Scored

1,8

1,4

Conceded

2,1

1,7

Goal diff per game

-0,3

-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: 3–2

19 Shots 18

7 Shots on target 6

5 Corners 7

14 Free kicks against 11

2 Yellow cards 4

0 Red cards 1

The table before the match Bochum 16. · Karlsruhe 11. ▾

#	Team	K	V	U	T	+/−	P
1	Hamburg	9	6	2	1	+14	20
2	Stuttgart	9	6	2	1	+6	20
3	Bielefeld	9	5	3	1	+9	18
4	Erzgebirge Aue	10	5	3	2	+2	18
5	Regensburg	10	4	2	4	+4	14
6	Greuther Furth	10	4	2	4	-3	14
7	Heidenheim	10	3	4	3	+2	13
8	St Pauli	10	3	4	3	+1	13
9	Nurnberg	10	3	4	3	+0	13
10	Sandhausen	10	3	3	4	-1	12
11	Karlsruhe	9	3	3	3	-2	12
12	Darmstadt	10	2	5	3	-3	11
13	Hannover	9	3	2	4	-4	11
14	Osnabruck	9	3	1	5	+1	10
15	Dresden	10	2	3	5	-8	9
16	Bochum	9	1	5	3	-3	8
17	Holstein Kiel	9	2	2	5	-4	8
18	Wehen	10	2	2	6	-11	8

#	Team	K	V	U	T	+/−	P
1	Hamburg	5	4	1	0	+10	13
2	Erzgebirge Aue	5	4	1	0	+6	13
3	Stuttgart	5	4	0	1	+4	12
4	St Pauli	5	3	0	2	+2	9
5	Greuther Furth	5	3	0	2	-1	9
6	Sandhausen	5	2	2	1	+1	8
7	Osnabruck	5	2	1	2	+4	7
8	Karlsruhe	4	2	1	1	+1	7
9	Heidenheim	5	2	1	2	+1	7
10	Regensburg	5	2	1	2	+0	7
11	Dresden	5	2	1	2	-1	7
12	Darmstadt	4	1	3	0	+2	6
13	Nurnberg	5	1	3	1	-3	6
14	Bielefeld	4	1	2	1	+1	5
15	Holstein Kiel	5	1	2	2	-1	5
16	Bochum	4	0	4	0	+0	4
17	Wehen	6	1	1	4	-10	4
18	Hannover	4	0	2	2	-6	2

#	Team	K	V	U	T	+/−	P
1	Bielefeld	5	4	1	0	+8	13
2	Hannover	5	3	0	2	+2	9
3	Stuttgart	4	2	2	0	+2	8
4	Hamburg	4	2	1	1	+4	7
5	Regensburg	5	2	1	2	+4	7
6	Nurnberg	5	2	1	2	+3	7
7	Heidenheim	5	1	3	1	+1	6
8	Greuther Furth	5	1	2	2	-2	5
9	Karlsruhe	5	1	2	2	-3	5
10	Erzgebirge Aue	5	1	2	2	-4	5
11	Darmstadt	6	1	2	3	-5	5
12	Wehen	4	1	1	2	-1	4
13	St Pauli	5	0	4	1	-1	4
14	Sandhausen	5	1	1	3	-2	4
15	Bochum	5	1	1	3	-3	4
16	Holstein Kiel	4	1	0	3	-3	3
17	Osnabruck	4	1	0	3	-3	3
18	Dresden	5	0	2	3	-7	2

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.