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2. Bundesliga

Wehen

U T S S U

0–1

Full-time

Bochum

T S T T T

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

Wehen Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 42%

50%

33%

Points per game

1,8

1,0

Over 2.5 Ø 50%

33%

67%

Both score Ø 50%

33%

67%

Average goals

2,0

3,3

Scored

1,2

1,3

Conceded

0,8

2,0

Goal diff per game

+0,3

-0,7

This season — 2. Bundesliga · 20/20 matches

Win Ø 23%

25%

20%

Points per game

1,1

1,0

Over 2.5 Ø 63%

55%

70%

Both score Ø 68%

50%

85%

Average goals

3,1

3,6

Scored

1,2

1,7

Conceded

1,9

2,0

Goal diff per game

-0,7

-0,3

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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: 0–1

17 Shots 12

3 Shots on target 4

11 Corners 5

13 Free kicks against 12

1 Yellow cards 4

0 Red cards 0

The table before the match Wehen 15. · Bochum 16. ▾

#	Team	K	V	U	T	+/−	P
1	Hamburg	21	11	7	3	+24	40
2	Bielefeld	20	10	8	2	+16	38
3	Stuttgart	21	11	5	5	+12	38
4	Heidenheim	21	9	7	5	+7	34
5	Greuther Furth	20	9	4	7	+6	31
6	Erzgebirge Aue	21	8	6	7	-1	30
7	Regensburg	20	8	5	7	+3	29
8	Osnabruck	21	7	6	8	+3	27
9	Holstein Kiel	20	7	6	7	+1	27
10	Sandhausen	21	6	9	6	+0	27
11	Darmstadt	21	5	11	5	-4	26
12	Nurnberg	21	6	7	8	-8	25
13	St Pauli	20	5	7	8	-2	22
14	Hannover	20	5	7	8	-9	22
15	Wehen	20	5	6	9	-13	21
16	Bochum	20	4	8	8	-6	20
17	Karlsruhe	21	4	8	9	-12	20
18	Dresden	21	4	5	12	-17	17

#	Team	K	V	U	T	+/−	P
1	Stuttgart	11	9	0	2	+16	27
2	Hamburg	10	8	1	1	+19	25
3	Erzgebirge Aue	10	7	3	0	+11	24
4	Heidenheim	11	6	3	2	+9	21
5	Greuther Furth	9	6	1	2	+6	19
6	St Pauli	11	5	3	3	+6	18
7	Osnabruck	11	5	2	4	+6	17
8	Regensburg	10	5	2	3	+2	17
9	Sandhausen	11	4	5	2	+2	17
10	Bochum	11	3	6	2	+2	15
11	Bielefeld	9	3	5	1	+4	14
12	Dresden	11	4	2	5	-2	14
13	Nurnberg	11	3	5	3	-5	14
14	Darmstadt	10	2	7	1	+1	13
15	Karlsruhe	10	3	3	4	-3	12
16	Holstein Kiel	9	2	4	3	-2	10
17	Hannover	10	1	6	3	-6	9
18	Wehen	10	2	3	5	-12	9

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

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.