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2. Bundesliga

Referee: Timo Gansloweit

Hannover

T S S U T

2–1

Full-time

Bochum

S S T S U

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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

Hannover Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 42%

33%

50%

Points per game

1,2

1,7

Over 2.5 Ø 50%

67%

33%

Both score Ø 59%

67%

50%

Average goals

3,8

1,8

Scored

2,3

1,0

Conceded

1,5

0,8

Goal diff per game

+0,8

+0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 5/5 matches

Win Ø 30%

20%

40%

Points per game

0,8

1,4

Over 2.5 Ø 40%

60%

20%

Both score Ø 50%

60%

40%

Average goals

2,6

1,6

Scored

1,0

0,8

Conceded

1,6

0,8

Goal diff per game

-0,6

+0,0

xG created Pro

xG conceded Pro

xG diff Pro

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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: 2–0

43% Possession 57%

10 Shots 28

7 Shots on target 10

1 Blocked shots 7

9 Goalkeeper saves 5

2 Corners 12

6 Offside 2

12 Free kicks against 10

3 Yellow cards 2

0 Red cards 0

The table before the match Hannover 16. · Bochum 8. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hertha	6	6	0	0	+10	+1.8	18
2	Nurnberg	6	5	1	0	+10	-0.1	16
3	Heidenheim	5	4	0	1	+2	+1.9	12
4	Wolfsburg	6	3	2	1	+7	+3.0	11
5	Kaiserslautern	6	3	2	1	+2	+0.9	11
6	Magdeburg	6	3	1	2	+2	-3.1	10
7	Cottbus	5	2	1	2	+1	-4.4	7
8	Bochum	5	2	1	2	+0	+1.0	7
9	Osnabruck	6	2	1	3	-3	-1.7	7
10	St Pauli	5	1	3	1	+0	+1.0	6
11	Greuther Furth	6	1	3	2	-2	+0.0	6
12	Karlsruhe	6	1	2	3	-6	-1.5	5
13	Braunschweig	6	1	1	4	-1	+0.9	4
14	Bielefeld	5	1	1	3	-2	+3.0	4
15	Holstein Kiel	6	0	4	2	-3	+0.3	4
16	Hannover	5	1	1	3	-3	+2.7	4
17	Dresden	6	1	1	4	-6	-1.7	4
18	Darmstadt	6	1	1	4	-8	-3.9	4

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	3	3	0	0	+7	+0.0	9
2	Heidenheim	3	3	0	0	+4	+2.4	9
3	Kaiserslautern	3	2	1	0	+4	+1.9	7
4	Hertha	2	2	0	0	+4	+1.2	6
5	Magdeburg	3	2	0	1	+0	-3.5	6
6	Wolfsburg	3	1	2	0	+4	+1.2	5
7	Bielefeld	2	1	1	0	+3	+3.0	4
8	Darmstadt	3	1	1	1	+0	-2.1	4
9	St Pauli	3	1	1	1	+0	+0.6	4
10	Cottbus	2	1	0	1	+1	-0.6	3
11	Holstein Kiel	3	0	3	0	+0	-1.6	3
12	Dresden	3	1	0	2	-1	+0.3	3
13	Osnabruck	3	1	0	2	-3	-0.2	3
14	Karlsruhe	4	1	0	3	-6	-1.2	3
15	Hannover	2	0	1	1	-1	-0.4	1
16	Bochum	3	0	1	2	-2	+1.2	1
17	Braunschweig	3	0	1	2	-3	-0.7	1
18	Greuther Furth	3	0	1	2	-3	+1.0	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hertha	4	4	0	0	+6	+0.6	12
2	Nurnberg	3	2	1	0	+3	-0.1	7
3	Wolfsburg	3	2	0	1	+3	+1.9	6
4	Bochum	2	2	0	0	+2	-0.3	6
5	Greuther Furth	3	1	2	0	+1	-1.0	5
6	Magdeburg	3	1	1	1	+2	+0.3	4
7	Cottbus	3	1	1	1	+0	-3.8	4
8	Osnabruck	3	1	1	1	+0	-1.5	4
9	Kaiserslautern	3	1	1	1	-2	-1.0	4
10	Braunschweig	3	1	0	2	+2	+1.6	3
11	Hannover	3	1	0	2	-2	+3.1	3
12	Heidenheim	2	1	0	1	-2	-0.5	3
13	St Pauli	2	0	2	0	+0	+0.5	2
14	Karlsruhe	2	0	2	0	+0	-0.3	2
15	Holstein Kiel	3	0	1	2	-3	+1.9	1
16	Dresden	3	0	1	2	-5	-2.0	1
17	Bielefeld	3	0	0	3	-5	+0.0	0
18	Darmstadt	3	0	0	3	-8	-1.9	0

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.