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2. Bundesliga

Greuther Furth

U S T U T

3–1

Full-time

Bochum

T S U 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

Greuther Furth Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,3

1,5

Over 2.5 Ø 42%

33%

50%

Both score Ø 58%

33%

83%

Average goals

2,0

3,2

Scored

1,2

1,8

Conceded

0,8

1,3

Goal diff per game

+0,3

+0,5

This season — 2. Bundesliga · 15/15 matches

Win Ø 27%

33%

20%

Points per game

1,3

1,1

Over 2.5 Ø 54%

40%

67%

Both score Ø 64%

40%

87%

Average goals

2,3

3,6

Scored

1,1

1,8

Conceded

1,3

1,8

Goal diff per game

-0,2

+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: 1–0

17 Shots 9

7 Shots on target 2

1 Corners 2

16 Free kicks against 14

1 Yellow cards 3

0 Red cards 0

The table before the match Greuther Furth 11. · Bochum 13. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	16	9	6	1	+17	33
2	Hamburg	16	8	5	3	+17	29
3	Heidenheim	16	7	5	4	+7	26
4	Stuttgart	15	8	2	5	+4	26
5	Erzgebirge Aue	15	6	5	4	+1	23
6	Holstein Kiel	15	6	3	6	+1	21
7	Sandhausen	15	5	6	4	+1	21
8	Regensburg	15	5	5	5	+3	20
9	Osnabruck	15	5	5	5	+3	20
10	Karlsruhe	16	4	8	4	-2	20
11	Greuther Furth	15	5	4	6	-3	19
12	Darmstadt	15	4	6	5	-5	18
13	Bochum	15	3	8	4	+0	17
14	Hannover	15	4	5	6	-8	17
15	St Pauli	15	3	6	6	-3	15
16	Nurnberg	15	3	6	6	-8	15
17	Wehen	15	3	4	8	-13	13
18	Dresden	15	3	3	9	-12	12

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

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

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.