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2. Bundesliga

Darmstadt

U S S S S

0–0

Full-time

Bochum

T S T S 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

Darmstadt Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,3

1,2

Over 2.5 Ø 50%

50%

Both score Ø 59%

67%

50%

Average goals

2,8

3,2

Scored

1,8

1,3

Conceded

1,0

1,8

Goal diff per game

+0,8

-0,5

This season — 2. Bundesliga · 24/24 matches

Win Ø 29%

33%

25%

Points per game

1,5

1,1

Over 2.5 Ø 57%

46%

67%

Both score Ø 69%

58%

79%

Average goals

2,6

3,5

Scored

1,3

1,7

Conceded

1,3

1,9

Goal diff per game

+0,0

-0,2

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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: 0–0

15 Shots 10

3 Shots on target 0

9 Corners 2

9 Free kicks against 13

1 Yellow cards 2

0 Red cards 0

The table before the match Darmstadt 6. · Bochum 15. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	24	14	8	2	+26	50
2	Stuttgart	24	13	5	6	+13	44
3	Hamburg	24	11	8	5	+19	41
4	Heidenheim	24	10	8	6	+6	38
5	Greuther Furth	24	10	5	9	+4	35
6	Darmstadt	24	8	11	5	+0	35
7	Erzgebirge Aue	24	9	7	8	+1	34
8	Holstein Kiel	24	9	6	9	+0	33
9	Hannover	25	8	8	9	-3	32
10	Regensburg	24	9	5	10	-5	32
11	St Pauli	24	7	8	9	+1	29
12	Osnabruck	25	7	8	10	-3	29
13	Nurnberg	25	7	8	10	-11	29
14	Sandhausen	24	6	10	8	-3	28
15	Bochum	24	6	9	9	-5	27
16	Wehen	25	6	7	12	-12	25
17	Karlsruhe	24	5	9	10	-11	24
18	Dresden	24	5	6	13	-17	21

#	Team	K	V	U	T	+/−	P
1	Stuttgart	12	10	0	2	+18	30
2	Erzgebirge Aue	12	8	3	1	+13	27
3	Hamburg	11	8	1	2	+17	25
4	Bielefeld	12	6	5	1	+12	23
5	Heidenheim	12	6	4	2	+9	22
6	St Pauli	13	6	4	3	+8	22
7	Greuther Furth	12	7	1	4	+4	22
8	Regensburg	12	6	2	4	+2	20
9	Darmstadt	12	4	7	1	+4	19
10	Osnabruck	13	5	3	5	+2	18
11	Sandhausen	12	4	5	3	+0	17
12	Bochum	13	3	7	3	+1	16
13	Dresden	12	4	2	6	-3	14
14	Nurnberg	13	3	5	5	-9	14
15	Holstein Kiel	11	3	4	4	-2	13
16	Karlsruhe	12	3	4	5	-4	13
17	Hannover	12	2	7	3	-4	13
18	Wehen	12	2	4	6	-13	10

#	Team	K	V	U	T	+/−	P
1	Bielefeld	12	8	3	1	+14	27
2	Holstein Kiel	13	6	2	5	+2	20
3	Hannover	13	6	1	6	+1	19
4	Hamburg	13	3	7	3	+2	16
5	Heidenheim	12	4	4	4	-3	16
6	Darmstadt	12	4	4	4	-4	16
7	Wehen	13	4	3	6	+1	15
8	Nurnberg	12	4	3	5	-2	15
9	Stuttgart	12	3	5	4	-5	14
10	Greuther Furth	12	3	4	5	+0	13
11	Regensburg	12	3	3	6	-7	12
12	Sandhausen	12	2	5	5	-3	11
13	Osnabruck	12	2	5	5	-5	11
14	Bochum	11	3	2	6	-6	11
15	Karlsruhe	12	2	5	5	-7	11
16	St Pauli	11	1	4	6	-7	7
17	Erzgebirge Aue	12	1	4	7	-12	7
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.