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2. Bundesliga

Erzgebirge Aue

T T U S T

3–1

Full-time

Sandhausen

T T T U 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

Erzgebirge Aue Sandhausen

Last 6 — all competitions · 6/6 matches

Win Ø 9%

17%

Points per game

0,8

0,3

Over 2.5 Ø 50%

67%

33%

Both score Ø 33%

33%

Average goals

2,0

3,0

Scored

0,8

1,0

Conceded

1,2

2,0

Goal diff per game

-0,3

-1,0

This season — 2. Bundesliga · 25/25 matches

Win Ø 30%

36%

24%

Points per game

1,4

1,2

Over 2.5 Ø 42%

52%

32%

Both score Ø 54%

52%

56%

Average goals

2,7

2,5

Scored

1,4

1,2

Conceded

1,4

1,3

Goal diff per game

+0,0

-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: 1–0

13 Shots 15

7 Shots on target 6

4 Corners 2

11 Free kicks against 10

1 Yellow cards 3

0 Red cards 1

The table before the match Erzgebirge Aue 8. · Sandhausen 13. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	25	14	9	2	+26	51
2	Stuttgart	25	13	6	6	+13	45
3	Hamburg	25	12	8	5	+20	44
4	Heidenheim	25	11	8	6	+8	41
5	Greuther Furth	25	10	6	9	+4	36
6	Darmstadt	25	8	12	5	+0	36
7	Holstein Kiel	25	9	7	9	+0	34
8	Erzgebirge Aue	25	9	7	9	+0	34
9	Hannover	25	8	8	9	-3	32
10	Regensburg	25	9	5	11	-6	32
11	St Pauli	25	7	9	9	+1	30
12	Osnabruck	25	7	8	10	-3	29
13	Sandhausen	25	6	11	8	-3	29
14	Nurnberg	25	7	8	10	-11	29
15	Bochum	25	6	10	9	-5	28
16	Wehen	25	6	7	12	-12	25
17	Karlsruhe	25	5	9	11	-13	24
18	Dresden	25	6	6	13	-16	24

#	Team	K	V	U	T	+/−	P
1	Stuttgart	13	10	1	2	+18	31
2	Hamburg	12	9	1	2	+18	28
3	Erzgebirge Aue	12	8	3	1	+13	27
4	Heidenheim	13	7	4	2	+11	25
5	Bielefeld	12	6	5	1	+12	23
6	St Pauli	13	6	4	3	+8	22
7	Greuther Furth	12	7	1	4	+4	22
8	Darmstadt	13	4	8	1	+4	20
9	Regensburg	12	6	2	4	+2	20
10	Osnabruck	13	5	3	5	+2	18
11	Sandhausen	13	4	6	3	+0	18
12	Dresden	13	5	2	6	-2	17
13	Bochum	13	3	7	3	+1	16
14	Holstein Kiel	12	3	5	4	-2	14
15	Nurnberg	13	3	5	5	-9	14
16	Karlsruhe	12	3	4	5	-4	13
17	Hannover	12	2	7	3	-4	13
18	Wehen	12	2	4	6	-13	10

#	Team	K	V	U	T	+/−	P
1	Bielefeld	13	8	4	1	+14	28
2	Holstein Kiel	13	6	2	5	+2	20
3	Hannover	13	6	1	6	+1	19
4	Hamburg	13	3	7	3	+2	16
5	Heidenheim	12	4	4	4	-3	16
6	Darmstadt	12	4	4	4	-4	16
7	Wehen	13	4	3	6	+1	15
8	Nurnberg	12	4	3	5	-2	15
9	Greuther Furth	13	3	5	5	+0	14
10	Stuttgart	12	3	5	4	-5	14
11	Bochum	12	3	3	6	-6	12
12	Regensburg	13	3	3	7	-8	12
13	Sandhausen	12	2	5	5	-3	11
14	Osnabruck	12	2	5	5	-5	11
15	Karlsruhe	13	2	5	6	-9	11
16	St Pauli	12	1	5	6	-7	8
17	Erzgebirge Aue	13	1	4	8	-13	7
18	Dresden	12	1	4	7	-14	7

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.