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2. Bundesliga

Referee: Felix Bickel

Bochum

T S S T S

1–1

Full-time

Greuther Furth

U T T S T

🔒 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 Greuther Furth

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,0

1,2

Over 2.5 Ø 50%

50%

Both score Ø 59%

50%

67%

Average goals

2,0

3,5

Scored

1,2

1,7

Conceded

0,8

1,8

Goal diff per game

+0,3

-0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 4/4 matches

Win Ø 38%

50%

25%

Points per game

1,5

1,0

Over 2.5 Ø 38%

25%

50%

Both score Ø 50%

25%

75%

Average goals

1,5

4,0

Scored

0,8

1,8

Conceded

0,8

2,3

Goal diff per game

+0,0

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

🔒 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

46% Possession 54%

16 Shots 18

5 Shots on target 6

2 Blocked shots 3

4 Goalkeeper saves 3

3 Corners 7

5 Offside 2

7 Free kicks against 7

2 Yellow cards 0

1 Red cards 0

The table before the match Bochum 6. · Greuther Furth 12. ▾

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

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

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