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2. Bundesliga

Osnabruck

T T U T U

0–0

Full-time

Erzgebirge Aue

S T U T T

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

Osnabruck Erzgebirge Aue

Last 6 — all competitions · 6/6 matches

Win Ø 25%

17%

33%

Points per game

0,8

1,2

Over 2.5 Ø 59%

67%

50%

Both score Ø 50%

67%

33%

Average goals

3,0

2,0

Scored

1,3

0,8

Conceded

1,7

1,2

Goal diff per game

-0,3

This season — 2. Bundesliga · 22/22 matches

Win Ø 34%

32%

36%

Points per game

1,3

1,4

Over 2.5 Ø 48%

45%

50%

Both score Ø 50%

45%

55%

Average goals

2,5

2,8

Scored

1,3

1,4

Conceded

1,2

1,5

Goal diff per game

+0,1

-0,1

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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: 0–0

8 Shots 7

2 Shots on target 3

5 Corners 2

13 Free kicks against 17

1 Yellow cards 3

0 Red cards 0

The table before the match Osnabruck 10. · Erzgebirge Aue 8. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	22	12	8	2	+24	44
2	Hamburg	22	11	8	3	+24	41
3	Stuttgart	22	12	5	5	+13	41
4	Heidenheim	22	9	8	5	+7	35
5	Holstein Kiel	22	9	6	7	+3	33
6	Regensburg	22	9	5	8	-2	32
7	Greuther Furth	22	9	4	9	+2	31
8	Erzgebirge Aue	22	8	6	8	-2	30
9	Darmstadt	22	6	11	5	-3	29
10	Osnabruck	22	7	7	8	+3	28
11	Sandhausen	22	6	9	7	-1	27
12	Hannover	22	6	8	8	-7	26
13	Nurnberg	22	6	8	8	-8	26
14	St Pauli	22	5	8	9	-3	23
15	Bochum	22	5	8	9	-6	23
16	Karlsruhe	22	4	9	9	-12	21
17	Wehen	22	5	6	11	-15	21
18	Dresden	22	4	6	12	-17	18

#	Team	K	V	U	T	+/−	P
1	Stuttgart	11	9	0	2	+16	27
2	Hamburg	10	8	1	1	+19	25
3	Erzgebirge Aue	11	7	3	1	+10	24
4	Heidenheim	12	6	4	2	+9	22
5	Regensburg	11	6	2	3	+3	20
6	St Pauli	12	5	4	3	+6	19
7	Greuther Furth	11	6	1	4	+2	19
8	Bielefeld	10	4	5	1	+10	17
9	Osnabruck	11	5	2	4	+6	17
10	Sandhausen	11	4	5	2	+2	17
11	Darmstadt	11	3	7	1	+2	16
12	Bochum	12	3	6	3	+1	15
13	Dresden	11	4	2	5	-2	14
14	Nurnberg	11	3	5	3	-5	14
15	Holstein Kiel	10	3	4	3	-1	13
16	Karlsruhe	11	3	4	4	-3	13
17	Hannover	11	1	7	3	-6	10
18	Wehen	11	2	3	6	-13	9

#	Team	K	V	U	T	+/−	P
1	Bielefeld	12	8	3	1	+14	27
2	Holstein Kiel	12	6	2	4	+4	20
3	Hamburg	12	3	7	2	+5	16
4	Hannover	11	5	1	5	-1	16
5	Stuttgart	11	3	5	3	-3	14
6	Heidenheim	10	3	4	3	-2	13
7	Darmstadt	11	3	4	4	-5	13
8	Greuther Furth	11	3	3	5	+0	12
9	Wehen	11	3	3	5	-2	12
10	Nurnberg	11	3	3	5	-3	12
11	Regensburg	11	3	3	5	-5	12
12	Osnabruck	11	2	5	4	-3	11
13	Sandhausen	11	2	4	5	-3	10
14	Bochum	10	2	2	6	-7	8
15	Karlsruhe	11	1	5	5	-9	8
16	Erzgebirge Aue	11	1	3	7	-12	6
17	St Pauli	10	0	4	6	-9	4
18	Dresden	11	0	4	7	-15	4

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.