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2. Bundesliga

Erzgebirge Aue

T T T T S

2–2

Full-time

Hansa Rostock

S S S T U

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

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 Hansa Rostock

Last 6 — all competitions · 6/6 matches

Win Ø 50%

33%

67%

Points per game

1,0

2,2

Over 2.5 Ø 59%

67%

50%

Both score Ø 42%

33%

50%

Average goals

3,2

Scored

1,0

1,7

Conceded

2,2

1,5

Goal diff per game

-1,2

+0,2

This season — 2. Bundesliga · 30/30 matches

Win Ø 25%

17%

33%

Points per game

0,7

1,3

Over 2.5 Ø 57%

60%

53%

Both score Ø 55%

53%

57%

Average goals

3,0

2,8

Scored

1,0

1,2

Conceded

2,0

1,6

Goal diff per game

-1,1

-0,3

🔒 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: 2–1

9 Shots 12

4 Shots on target 4

2 Corners 4

17 Free kicks against 9

3 Yellow cards 2

0 Red cards 0

The table before the match Erzgebirge Aue 17. · Hansa Rostock 13. ▾

#	Team	K	V	U	T	+/−	P
1	Werder Bremen	31	16	9	6	+18	57
2	Schalke 04	31	17	5	9	+25	56
3	Darmstadt	31	16	6	9	+17	54
4	St Pauli	31	15	8	8	+14	53
5	Hamburg	31	13	12	6	+26	51
6	Nurnberg	30	14	8	8	+6	50
7	Heidenheim	31	13	7	11	-4	46
8	Paderborn	30	11	11	8	+10	44
9	Karlsruhe	31	9	13	9	+3	40
10	Regensburg	31	10	9	12	+3	39
11	Holstein Kiel	31	10	9	12	-10	39
12	Fortuna Dusseldorf	31	9	11	11	+2	38
13	Hansa Rostock	30	10	8	12	-10	38
14	Hannover	30	9	9	12	-13	36
15	Sandhausen	30	8	11	11	-13	35
16	Dresden	31	7	9	15	-12	30
17	Erzgebirge Aue	30	5	7	18	-32	22
18	Ingolstadt	31	4	8	19	-30	20

#	Team	K	V	U	T	+/−	P
1	St Pauli	15	10	3	2	+18	33
2	Heidenheim	15	9	4	2	+9	31
3	Hamburg	16	8	6	2	+18	30
4	Schalke 04	16	9	2	5	+12	29
5	Werder Bremen	15	7	6	2	+11	27
6	Darmstadt	15	8	3	4	+10	27
7	Nurnberg	15	8	3	4	+6	27
8	Holstein Kiel	16	7	3	6	-3	24
9	Karlsruhe	16	5	8	3	+6	23
10	Regensburg	16	6	4	6	+4	22
11	Fortuna Dusseldorf	16	5	6	5	+6	21
12	Dresden	15	5	4	6	+1	19
13	Hannover	15	4	6	5	-6	18
14	Hansa Rostock	15	4	4	7	-7	16
15	Sandhausen	15	3	5	7	-11	14
16	Paderborn	15	2	7	6	-3	13
17	Erzgebirge Aue	15	3	2	10	-17	11
18	Ingolstadt	15	2	4	9	-13	10

#	Team	K	V	U	T	+/−	P
1	Paderborn	15	9	4	2	+13	31
2	Werder Bremen	16	9	3	4	+7	30
3	Schalke 04	15	8	3	4	+13	27
4	Darmstadt	16	8	3	5	+7	27
5	Nurnberg	15	6	5	4	+0	23
6	Hansa Rostock	15	6	4	5	-3	22
7	Hamburg	15	5	6	4	+8	21
8	Sandhausen	15	5	6	4	-2	21
9	St Pauli	16	5	5	6	-4	20
10	Hannover	15	5	3	7	-7	18
11	Regensburg	15	4	5	6	-1	17
12	Karlsruhe	15	4	5	6	-3	17
13	Fortuna Dusseldorf	15	4	5	6	-4	17
14	Holstein Kiel	15	3	6	6	-7	15
15	Heidenheim	16	4	3	9	-13	15
16	Dresden	16	2	5	9	-13	11
17	Erzgebirge Aue	15	2	5	8	-15	11
18	Ingolstadt	16	2	4	10	-17	10

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.