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2. Bundesliga

Bochum

S T S T T

1–3

Full-time

Hamburg

T T U U S

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

🔒 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 Hamburg

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,2

1,3

Over 2.5 Ø 59%

50%

67%

Both score Ø 75%

67%

83%

Average goals

3,0

Scored

1,3

1,7

Conceded

1,7

1,3

Goal diff per game

-0,3

+0,3

This season — 2. Bundesliga · 19/19 matches

Win Ø 34%

21%

47%

Points per game

1,1

1,8

Over 2.5 Ø 61%

68%

53%

Both score Ø 74%

84%

63%

Average goals

3,6

3,2

Scored

1,7

2,1

Conceded

1,9

1,1

Goal diff per game

-0,2

+1,1

🔒 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

17 Shots 20

3 Shots on target 5

4 Corners 9

11 Free kicks against 7

1 Yellow cards 1

0 Red cards 0

The table before the match Bochum 16. · Hamburg 3. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	20	10	8	2	+16	38
2	Stuttgart	20	10	5	5	+9	35
3	Hamburg	19	9	7	3	+20	34
4	Greuther Furth	20	9	4	7	+6	31
5	Heidenheim	20	8	7	5	+6	31
6	Erzgebirge Aue	20	8	6	6	+2	30
7	Regensburg	20	8	5	7	+3	29
8	Osnabruck	20	7	6	7	+4	27
9	Holstein Kiel	20	7	6	7	+1	27
10	Sandhausen	20	6	9	5	+1	27
11	Darmstadt	20	4	11	5	-5	23
12	St Pauli	20	5	7	8	-2	22
13	Nurnberg	20	5	7	8	-9	22
14	Hannover	20	5	7	8	-9	22
15	Wehen	20	5	6	9	-13	21
16	Bochum	19	4	8	7	-4	20
17	Karlsruhe	20	4	8	8	-10	20
18	Dresden	20	4	5	11	-16	17

#	Team	K	V	U	T	+/−	P
1	Stuttgart	10	8	0	2	+13	24
2	Erzgebirge Aue	10	7	3	0	+11	24
3	Hamburg	9	7	1	1	+17	22
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	10	5	2	3	+7	17
8	Sandhausen	10	4	5	1	+3	17
9	Regensburg	10	5	2	3	+2	17
10	Bochum	10	3	6	1	+4	15
11	Bielefeld	9	3	5	1	+4	14
12	Dresden	10	4	2	4	-1	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	Hannover	10	4	1	5	-3	13
4	Hamburg	10	2	6	2	+3	12
5	Regensburg	10	3	3	4	+1	12
6	Greuther Furth	11	3	3	5	+0	12
7	Wehen	10	3	3	4	-1	12
8	Stuttgart	10	2	5	3	-4	11
9	Sandhausen	10	2	4	4	-2	10
10	Osnabruck	10	2	4	4	-3	10
11	Heidenheim	9	2	4	3	-3	10
12	Darmstadt	10	2	4	4	-6	10
13	Nurnberg	9	2	2	5	-4	8
14	Karlsruhe	10	1	5	4	-7	8
15	Erzgebirge Aue	10	1	3	6	-9	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.