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2. Bundesliga

Osnabruck

U T S U U

0–2

Full-time

Bochum

S U S 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

Osnabruck Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 34%

17%

50%

Points per game

1,0

2,0

Over 2.5 Ø 42%

50%

33%

Both score Ø 42%

67%

17%

Average goals

3,7

1,3

Scored

1,5

1,2

Conceded

2,2

0,2

Goal diff per game

-0,7

+1,0

This season — 2. Bundesliga · 30/30 matches

Win Ø 29%

27%

30%

Points per game

1,2

1,3

Over 2.5 Ø 54%

47%

60%

Both score Ø 59%

50%

67%

Average goals

2,7

3,1

Scored

1,3

1,6

Conceded

1,4

1,5

Goal diff per game

-0,1

+0,0

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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

11 Shots 16

3 Shots on target 6

6 Corners 7

9 Free kicks against 17

1 Yellow cards 3

0 Red cards 0

The table before the match Osnabruck 13. · Bochum 9. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	30	15	13	2	+27	58
2	Hamburg	31	14	11	6	+21	53
3	Stuttgart	30	15	7	8	+14	52
4	Heidenheim	30	13	9	8	+8	48
5	Darmstadt	30	10	13	7	+1	43
6	Hannover	30	11	9	10	+1	42
7	Erzgebirge Aue	30	11	8	11	-2	41
8	Sandhausen	31	9	13	9	-1	40
9	Bochum	30	9	12	9	+1	39
10	Greuther Furth	30	10	9	11	+1	39
11	Holstein Kiel	30	10	9	11	-1	39
12	Regensburg	30	10	9	11	-3	39
13	Osnabruck	30	8	11	11	-3	35
14	St Pauli	30	8	11	11	-4	35
15	Nurnberg	30	7	12	11	-12	33
16	Karlsruhe	30	6	12	12	-12	30
17	Wehen	30	7	7	16	-15	28
18	Dresden	30	7	7	16	-21	28

#	Team	K	V	U	T	+/−	P
1	Stuttgart	15	11	2	2	+19	35
2	Hamburg	15	10	3	2	+19	33
3	Erzgebirge Aue	15	10	3	2	+14	33
4	Heidenheim	15	9	4	2	+15	31
5	St Pauli	15	7	5	3	+9	26
6	Bielefeld	14	6	7	1	+12	25
7	Bochum	16	6	7	3	+7	25
8	Regensburg	15	7	4	4	+5	25
9	Darmstadt	15	5	9	1	+8	24
10	Sandhausen	16	5	8	3	+2	23
11	Greuther Furth	15	7	2	6	+1	23
12	Hannover	15	4	8	3	+0	20
13	Osnabruck	15	5	4	6	+0	19
14	Karlsruhe	15	4	6	5	-2	18
15	Dresden	16	5	3	8	-5	18
16	Holstein Kiel	14	4	5	5	-2	17
17	Nurnberg	15	3	7	5	-9	16
18	Wehen	15	3	4	8	-14	13

#	Team	K	V	U	T	+/−	P
1	Bielefeld	16	9	6	1	+15	33
2	Holstein Kiel	16	6	4	6	+1	22
3	Hannover	15	7	1	7	+1	22
4	Hamburg	16	4	8	4	+2	20
5	Darmstadt	15	5	4	6	-7	19
6	Nurnberg	15	4	5	6	-3	17
7	Sandhausen	15	4	5	6	-3	17
8	Stuttgart	15	4	5	6	-5	17
9	Heidenheim	15	4	5	6	-7	17
10	Greuther Furth	15	3	7	5	+0	16
11	Osnabruck	15	3	7	5	-3	16
12	Wehen	15	4	3	8	-1	15
13	Bochum	14	3	5	6	-6	14
14	Regensburg	15	3	5	7	-8	14
15	Karlsruhe	15	2	6	7	-10	12
16	Dresden	14	2	4	8	-16	10
17	St Pauli	15	1	6	8	-13	9
18	Erzgebirge Aue	15	1	5	9	-16	8

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.