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2. Bundesliga

Heidenheim

U S U S T

1–0

Full-time

Greuther Furth

S U S T U

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

Heidenheim Greuther Furth

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,3

Over 2.5 Ø 42%

50%

33%

Both score Ø 42%

50%

33%

Average goals

2,7

2,2

Scored

1,5

1,2

Conceded

1,2

1,0

Goal diff per game

+0,3

+0,2

This season — 2. Bundesliga · 14/14 matches

Win Ø 36%

36%

Points per game

1,4

Over 2.5 Ø 50%

57%

43%

Both score Ø 50%

57%

43%

Average goals

2,8

2,4

Scored

1,6

1,1

Conceded

1,2

1,3

Goal diff per game

+0,4

-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: 0–0

15 Shots 19

7 Shots on target 1

4 Corners 10

12 Free kicks against 12

1 Yellow cards 3

0 Red cards 0

The table before the match Heidenheim 6. · Greuther Furth 10. ▾

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