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2. Bundesliga

Heidenheim

S T S S U

3–1

Full-time

Osnabruck

S U S S 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

Heidenheim Osnabruck

Last 6 — all competitions · 6/6 matches

Win Ø 59%

50%

67%

Points per game

1,8

2,3

Over 2.5 Ø 50%

33%

67%

Both score Ø 50%

33%

67%

Average goals

2,0

3,5

Scored

1,3

2,3

Conceded

0,7

1,2

Goal diff per game

+0,7

+1,2

This season — 2. Bundesliga · 17/17 matches

Win Ø 41%

41%

Points per game

1,6

1,5

Over 2.5 Ø 44%

47%

41%

Both score Ø 41%

47%

35%

Average goals

2,4

Scored

1,4

Conceded

1,0

0,9

Goal diff per game

+0,4

+0,5

🔒 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

14 Shots 13

5 Shots on target 5

6 Corners 7

15 Free kicks against 4

1 Yellow cards 3

0 Red cards 1

The table before the match Heidenheim 5. · Osnabruck 6. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	18	9	7	2	+14	34
2	Hamburg	18	8	7	3	+17	31
3	Stuttgart	18	9	4	5	+6	31
4	Erzgebirge Aue	18	8	5	5	+3	29
5	Heidenheim	17	7	6	4	+7	27
6	Osnabruck	17	7	5	5	+8	26
7	Greuther Furth	18	7	4	7	+1	25
8	Regensburg	17	6	5	6	+3	23
9	Sandhausen	17	5	8	4	+1	23
10	Holstein Kiel	17	6	4	7	-1	22
11	St Pauli	18	5	6	7	+1	21
12	Darmstadt	18	4	9	5	-5	21
13	Hannover	18	5	6	7	-8	21
14	Bochum	17	4	8	5	-1	20
15	Karlsruhe	18	4	8	6	-7	20
16	Nurnberg	18	4	7	7	-8	19
17	Wehen	18	4	5	9	-14	17
18	Dresden	18	3	4	11	-17	13

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

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