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2. Bundesliga

Erzgebirge Aue

U T T S T

1–2

Full-time

Bochum

U S U 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

Erzgebirge Aue Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 50%

33%

67%

Points per game

1,2

2,3

Over 2.5 Ø 50%

67%

33%

Both score Ø 42%

67%

17%

Average goals

2,8

1,7

Scored

1,2

1,5

Conceded

1,7

0,2

Goal diff per game

-0,5

+1,3

This season — 2. Bundesliga · 31/31 matches

Win Ø 34%

35%

32%

Points per game

1,3

1,4

Over 2.5 Ø 57%

55%

58%

Both score Ø 60%

55%

65%

Average goals

2,7

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: 0–2

16 Shots 9

7 Shots on target 2

5 Corners 4

21 Free kicks against 15

5 Yellow cards 3

1 Red cards 1

The table before the match Erzgebirge Aue 9. · Bochum 7. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	31	16	13	2	+31	61
2	Hamburg	32	14	12	6	+21	54
3	Stuttgart	31	15	7	9	+13	52
4	Heidenheim	32	14	10	8	+11	52
5	Darmstadt	31	11	13	7	+2	46
6	Greuther Furth	32	11	10	11	+2	43
7	Bochum	31	10	12	9	+3	42
8	Hannover	31	11	9	11	+0	42
9	Erzgebirge Aue	31	11	8	12	-3	41
10	Sandhausen	31	9	13	9	-1	40
11	Holstein Kiel	31	10	9	12	-2	39
12	Regensburg	31	10	9	12	-6	39
13	St Pauli	31	9	11	11	-3	38
14	Osnabruck	32	8	12	12	-5	36
15	Nurnberg	32	8	12	12	-7	36
16	Karlsruhe	31	7	12	12	-11	33
17	Wehen	32	8	7	17	-20	31
18	Dresden	31	7	7	17	-25	28

#	Team	K	V	U	T	+/−	P
1	Stuttgart	15	11	2	2	+19	35
2	Hamburg	16	10	4	2	+19	34
3	Heidenheim	16	10	4	2	+18	34
4	Erzgebirge Aue	15	10	3	2	+14	33
5	St Pauli	16	8	5	3	+10	29
6	Bielefeld	15	7	7	1	+16	28
7	Darmstadt	16	6	9	1	+9	27
8	Bochum	16	6	7	3	+7	25
9	Regensburg	15	7	4	4	+5	25
10	Greuther Furth	16	7	3	6	+1	24
11	Sandhausen	16	5	8	3	+2	23
12	Karlsruhe	16	5	6	5	-1	21
13	Hannover	15	4	8	3	+0	20
14	Osnabruck	16	5	4	7	-2	19
15	Dresden	16	5	3	8	-5	18
16	Holstein Kiel	15	4	5	6	-3	17
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	Greuther Furth	16	4	7	5	+1	19
7	Darmstadt	15	5	4	6	-7	19
8	Wehen	16	5	3	8	+0	18
9	Heidenheim	16	4	6	6	-7	18
10	Osnabruck	16	3	8	5	-3	17
11	Sandhausen	15	4	5	6	-3	17
12	Bochum	15	4	5	6	-4	17
13	Stuttgart	16	4	5	7	-6	17
14	Regensburg	16	3	5	8	-11	14
15	Karlsruhe	15	2	6	7	-10	12
16	Dresden	15	2	4	9	-20	10
17	St Pauli	15	1	6	8	-13	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.