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2. Bundesliga

Erzgebirge Aue

T T S T T

2–1

Full-time

Hannover

T S S T 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

Erzgebirge Aue Hannover

Last 6 — all competitions · 6/6 matches

Win Ø 34%

17%

50%

Points per game

0,7

1,7

Over 2.5 Ø 75%

67%

83%

Both score Ø 67%

67%

Average goals

2,7

3,5

Scored

0,8

2,2

Conceded

1,8

1,3

Goal diff per game

-1,0

+0,8

This season — 2. Bundesliga · 32/32 matches

Win Ø 36%

34%

38%

Points per game

1,3

1,4

Over 2.5 Ø 61%

56%

66%

Both score Ø 58%

56%

59%

Average goals

2,8

3,1

Scored

1,3

1,6

Conceded

1,4

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: 1–0

9 Shots 16

3 Shots on target 7

0 Corners 7

5 Free kicks against 13

1 Yellow cards 3

0 Red cards 0

The table before the match Erzgebirge Aue 11. · Hannover 7. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	32	17	13	2	+32	64
2	Stuttgart	32	16	7	9	+17	55
3	Hamburg	32	14	12	6	+21	54
4	Heidenheim	32	14	10	8	+11	52
5	Darmstadt	32	11	13	8	+1	46
6	Bochum	32	11	12	9	+4	45
7	Hannover	32	12	9	11	+4	45
8	Greuther Furth	32	11	10	11	+2	43
9	Holstein Kiel	32	11	9	12	+0	42
10	Regensburg	32	11	9	12	-5	42
11	Erzgebirge Aue	32	11	8	13	-4	41
12	Sandhausen	32	9	13	10	-5	40
13	St Pauli	32	9	11	12	-7	38
14	Osnabruck	32	8	12	12	-5	36
15	Nurnberg	32	8	12	12	-7	36
16	Karlsruhe	32	7	12	13	-12	33
17	Wehen	32	8	7	17	-20	31
18	Dresden	32	7	7	18	-27	28

#	Team	K	V	U	T	+/−	P
1	Stuttgart	16	12	2	2	+23	38
2	Hamburg	16	10	4	2	+19	34
3	Heidenheim	16	10	4	2	+18	34
4	Erzgebirge Aue	16	10	3	3	+13	33
5	Bielefeld	16	8	7	1	+17	31
6	St Pauli	16	8	5	3	+10	29
7	Regensburg	16	8	4	4	+6	28
8	Darmstadt	16	6	9	1	+9	27
9	Bochum	16	6	7	3	+7	25
10	Greuther Furth	16	7	3	6	+1	24
11	Hannover	16	5	8	3	+4	23
12	Sandhausen	16	5	8	3	+2	23
13	Karlsruhe	16	5	6	5	-1	21
14	Holstein Kiel	16	5	5	6	-1	20
15	Osnabruck	16	5	4	7	-2	19
16	Dresden	16	5	3	8	-5	18
17	Nurnberg	16	3	7	6	-10	16
18	Wehen	16	3	4	9	-20	13

#	Team	K	V	U	T	+/−	P
1	Bielefeld	16	9	6	1	+15	33
2	Holstein Kiel	16	6	4	6	+1	22
3	Hannover	16	7	1	8	+0	22
4	Nurnberg	16	5	5	6	+3	20
5	Hamburg	16	4	8	4	+2	20
6	Bochum	16	5	5	6	-3	20
7	Greuther Furth	16	4	7	5	+1	19
8	Darmstadt	16	5	4	7	-8	19
9	Wehen	16	5	3	8	+0	18
10	Heidenheim	16	4	6	6	-7	18
11	Osnabruck	16	3	8	5	-3	17
12	Stuttgart	16	4	5	7	-6	17
13	Sandhausen	16	4	5	7	-7	17
14	Regensburg	16	3	5	8	-11	14
15	Karlsruhe	16	2	6	8	-11	12
16	Dresden	16	2	4	10	-22	10
17	St Pauli	16	1	6	9	-17	9
18	Erzgebirge Aue	16	1	5	10	-17	8

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.