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2. Bundesliga

Erzgebirge Aue

T U T T U

3–0

Full-time

Hamburg

S S S U 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

Erzgebirge Aue Hamburg

Last 6 — all competitions · 6/6 matches

Win Ø 34%

17%

50%

Points per game

0,8

1,8

Over 2.5 Ø 50%

50%

Both score Ø 50%

33%

67%

Average goals

1,8

3,2

Scored

0,7

2,0

Conceded

1,2

Goal diff per game

-0,5

+0,8

This season — 2. Bundesliga · 23/23 matches

Win Ø 42%

35%

48%

Points per game

1,3

1,8

Over 2.5 Ø 48%

48%

Both score Ø 57%

52%

61%

Average goals

2,7

3,0

Scored

1,3

2,0

Conceded

1,4

1,0

Goal diff per game

-0,1

+1,0

🔒 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

21 Shots 9

6 Shots on target 1

2 Corners 8

16 Free kicks against 11

2 Yellow cards 5

0 Red cards 1

The table before the match Erzgebirge Aue 9. · Hamburg 3. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	23	13	8	2	+25	47
2	Stuttgart	23	13	5	5	+15	44
3	Hamburg	23	11	8	4	+22	41
4	Heidenheim	23	10	8	5	+8	38
5	Holstein Kiel	23	9	6	8	+2	33
6	Greuther Furth	23	9	5	9	+2	32
7	Darmstadt	23	7	11	5	-2	32
8	Regensburg	24	9	5	10	-5	32
9	Erzgebirge Aue	23	8	7	8	-2	31
10	Osnabruck	23	7	8	8	+3	29
11	Nurnberg	24	7	8	9	-8	29
12	Sandhausen	23	6	9	8	-3	27
13	St Pauli	23	6	8	9	-1	26
14	Bochum	23	6	8	9	-5	26
15	Hannover	23	6	8	9	-8	26
16	Karlsruhe	24	5	9	10	-11	24
17	Wehen	23	5	7	11	-15	22
18	Dresden	24	5	6	13	-17	21

#	Team	K	V	U	T	+/−	P
1	Stuttgart	12	10	0	2	+18	30
2	Hamburg	11	8	1	2	+17	25
3	Erzgebirge Aue	11	7	3	1	+10	24
4	Heidenheim	12	6	4	2	+9	22
5	Bielefeld	11	5	5	1	+11	20
6	Regensburg	12	6	2	4	+2	20
7	St Pauli	12	5	4	3	+6	19
8	Greuther Furth	11	6	1	4	+2	19
9	Osnabruck	12	5	3	4	+6	18
10	Sandhausen	12	4	5	3	+0	17
11	Darmstadt	11	3	7	1	+2	16
12	Bochum	12	3	6	3	+1	15
13	Dresden	12	4	2	6	-3	14
14	Nurnberg	12	3	5	4	-6	14
15	Holstein Kiel	11	3	4	4	-2	13
16	Karlsruhe	12	3	4	5	-4	13
17	Hannover	11	1	7	3	-6	10
18	Wehen	12	2	4	6	-13	10

#	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	Heidenheim	11	4	4	3	-1	16
5	Hannover	12	5	1	6	-2	16
6	Darmstadt	12	4	4	4	-4	16
7	Nurnberg	12	4	3	5	-2	15
8	Stuttgart	11	3	5	3	-3	14
9	Greuther Furth	12	3	4	5	+0	13
10	Wehen	11	3	3	5	-2	12
11	Regensburg	12	3	3	6	-7	12
12	Osnabruck	11	2	5	4	-3	11
13	Bochum	11	3	2	6	-6	11
14	Karlsruhe	12	2	5	5	-7	11
15	Sandhausen	11	2	4	5	-3	10
16	St Pauli	11	1	4	6	-7	7
17	Erzgebirge Aue	12	1	4	7	-12	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.