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2. Bundesliga

Hannover

S S T S T

2–0

Full-time

Bochum

U S S S U

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

Hannover Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 59%

50%

67%

Points per game

1,5

2,3

Over 2.5 Ø 75%

100%

50%

Both score Ø 59%

67%

50%

Average goals

3,7

2,3

Scored

2,2

1,7

Conceded

1,5

0,7

Goal diff per game

+0,7

+1,0

This season — 2. Bundesliga · 33/33 matches

Win Ø 35%

36%

33%

Points per game

1,4

Over 2.5 Ø 64%

67%

61%

Both score Ø 64%

61%

67%

Average goals

3,1

Scored

1,6

Conceded

1,5

Goal diff per game

+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: 1–0

11 Shots 20

2 Shots on target 5

2 Corners 6

13 Free kicks against 12

2 Yellow cards 0

0 Red cards 0

The table before the match Hannover 7. · Bochum 6. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	33	17	14	2	+32	65
2	Stuttgart	33	17	7	9	+23	58
3	Heidenheim	33	15	10	8	+12	55
4	Hamburg	33	14	12	7	+20	54
5	Darmstadt	33	12	13	8	+3	49
6	Bochum	33	11	13	9	+4	46
7	Hannover	33	12	9	12	+3	45
8	Greuther Furth	33	11	11	11	+2	44
9	Erzgebirge Aue	33	12	8	13	-3	44
10	Regensburg	33	11	10	12	-5	43
11	Holstein Kiel	33	11	9	13	-3	42
12	Sandhausen	33	9	13	11	-6	40
13	Osnabruck	33	9	12	12	-2	39
14	St Pauli	33	9	12	12	-7	39
15	Nurnberg	33	8	12	13	-13	36
16	Karlsruhe	33	7	13	13	-12	34
17	Wehen	33	8	7	18	-22	31
18	Dresden	33	8	7	18	-26	31

#	Team	K	V	U	T	+/−	P
1	Stuttgart	16	12	2	2	+23	38
2	Heidenheim	17	11	4	2	+19	37
3	Erzgebirge Aue	17	11	3	3	+14	36
4	Hamburg	16	10	4	2	+19	34
5	Bielefeld	16	8	7	1	+17	31
6	Darmstadt	17	7	9	1	+11	30
7	St Pauli	17	8	6	3	+10	30
8	Regensburg	16	8	4	4	+6	28
9	Bochum	17	6	8	3	+7	26
10	Greuther Furth	16	7	3	6	+1	24
11	Hannover	16	5	8	3	+4	23
12	Sandhausen	17	5	8	4	+1	23
13	Osnabruck	17	6	4	7	+1	22
14	Karlsruhe	17	5	7	5	-1	22
15	Holstein Kiel	16	5	5	6	-1	20
16	Dresden	16	5	3	8	-5	18
17	Nurnberg	17	3	7	7	-16	16
18	Wehen	16	3	4	9	-20	13

#	Team	K	V	U	T	+/−	P
1	Bielefeld	17	9	7	1	+15	34
2	Hannover	17	7	1	9	-1	22
3	Holstein Kiel	17	6	4	7	-2	22
4	Nurnberg	16	5	5	6	+3	20
5	Hamburg	17	4	8	5	+1	20
6	Greuther Furth	17	4	8	5	+1	20
7	Stuttgart	17	5	5	7	+0	20
8	Bochum	16	5	5	6	-3	20
9	Darmstadt	16	5	4	7	-8	19
10	Wehen	17	5	3	9	-2	18
11	Heidenheim	16	4	6	6	-7	18
12	Osnabruck	16	3	8	5	-3	17
13	Sandhausen	16	4	5	7	-7	17
14	Regensburg	17	3	6	8	-11	15
15	Dresden	17	3	4	10	-21	13
16	Karlsruhe	16	2	6	8	-11	12
17	St Pauli	16	1	6	9	-17	9
18	Erzgebirge Aue	16	1	5	10	-17	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.