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2. Bundesliga

Karlsruhe

U S T T S

0–0

Full-time

Bochum

T S U U 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

Karlsruhe Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 42%

33%

50%

Points per game

1,2

1,8

Over 2.5 Ø 34%

17%

50%

Both score Ø 33%

33%

Average goals

2,2

2,7

Scored

1,0

1,7

Conceded

1,2

1,0

Goal diff per game

-0,2

+0,7

This season — 2. Bundesliga · 26/26 matches

Win Ø 25%

23%

27%

Points per game

1,0

1,2

Over 2.5 Ø 58%

50%

65%

Both score Ø 68%

62%

73%

Average goals

3,1

3,4

Scored

1,3

1,7

Conceded

1,8

1,7

Goal diff per game

-0,4

-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

10 Shots 18

4 Shots on target 4

4 Corners 7

13 Free kicks against 13

3 Yellow cards 2

0 Red cards 0

The table before the match Karlsruhe 17. · Bochum 12. ▾

#	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	27	12	8	7	+6	44
5	Darmstadt	27	9	12	6	+2	39
6	Erzgebirge Aue	27	10	8	9	+2	38
7	Greuther Furth	26	10	7	9	+4	37
8	Holstein Kiel	26	9	8	9	+0	35
9	Hannover	26	9	8	9	-1	35
10	Regensburg	27	9	7	11	-6	34
11	St Pauli	27	8	9	10	-2	33
12	Bochum	26	7	10	9	-2	31
13	Osnabruck	27	7	9	11	-5	30
14	Sandhausen	27	6	12	9	-5	30
15	Nurnberg	27	7	9	11	-12	30
16	Wehen	27	7	7	13	-12	28
17	Karlsruhe	26	6	9	11	-11	27
18	Dresden	25	6	6	13	-16	24

#	Team	K	V	U	T	+/−	P
1	Stuttgart	13	10	1	2	+18	31
2	Erzgebirge Aue	13	9	3	1	+15	30
3	Hamburg	12	9	1	2	+18	28
4	Heidenheim	14	8	4	2	+12	28
5	St Pauli	14	7	4	3	+9	25
6	Bielefeld	13	6	6	1	+12	24
7	Darmstadt	14	5	8	1	+8	23
8	Greuther Furth	13	7	2	4	+4	23
9	Regensburg	13	6	3	4	+2	21
10	Bochum	14	4	7	3	+4	19
11	Sandhausen	14	4	7	3	+0	19
12	Osnabruck	14	5	3	6	+0	18
13	Dresden	13	5	2	6	-2	17
14	Karlsruhe	13	4	4	5	-2	16
15	Nurnberg	14	3	6	5	-9	15
16	Holstein Kiel	12	3	5	4	-2	14
17	Hannover	12	2	7	3	-4	13
18	Wehen	13	3	4	6	-12	13

#	Team	K	V	U	T	+/−	P
1	Bielefeld	13	8	4	1	+14	28
2	Hannover	14	7	1	6	+3	22
3	Holstein Kiel	14	6	3	5	+2	21
4	Hamburg	14	3	8	3	+2	17
5	Darmstadt	13	4	4	5	-6	16
6	Heidenheim	13	4	4	5	-6	16
7	Wehen	14	4	3	7	+0	15
8	Nurnberg	13	4	3	6	-3	15
9	Greuther Furth	13	3	5	5	+0	14
10	Stuttgart	13	3	5	5	-6	14
11	Regensburg	14	3	4	7	-8	13
12	Osnabruck	13	2	6	5	-5	12
13	Bochum	12	3	3	6	-6	12
14	Sandhausen	13	2	5	6	-5	11
15	Karlsruhe	13	2	5	6	-9	11
16	St Pauli	13	1	5	7	-11	8
17	Erzgebirge Aue	14	1	5	8	-13	8
18	Dresden	12	1	4	7	-14	7

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.