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2. Bundesliga

Darmstadt

U S T U U

2–2

Full-time

Hamburg

U S T 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

Darmstadt Hamburg

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

1,0

Over 2.5 Ø 50%

67%

33%

Both score Ø 83%

83%

Average goals

2,8

2,2

Scored

1,2

1,0

Conceded

1,7

1,2

Goal diff per game

-0,5

-0,2

This season — 2. Bundesliga · 17/17 matches

Win Ø 36%

24%

47%

Points per game

1,2

1,8

Over 2.5 Ø 44%

41%

47%

Both score Ø 56%

53%

59%

Average goals

2,4

3,0

Scored

1,1

2,0

Conceded

1,4

1,0

Goal diff per game

-0,3

+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: 1–2

11 Shots 16

5 Shots on target 6

2 Corners 4

18 Free kicks against 12

0 Yellow cards 1

0 Red cards 0

The table before the match Darmstadt 12. · Hamburg 2. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	17	9	7	1	+17	34
2	Hamburg	17	8	6	3	+17	30
3	Stuttgart	17	9	3	5	+6	30
4	Heidenheim	17	7	6	4	+7	27
5	Osnabruck	17	7	5	5	+8	26
6	Erzgebirge Aue	17	7	5	5	+1	26
7	Greuther Furth	17	7	4	6	+3	25
8	Regensburg	17	6	5	6	+3	23
9	Sandhausen	17	5	8	4	+1	23
10	Holstein Kiel	17	6	4	7	-1	22
11	Bochum	17	4	8	5	-1	20
12	Darmstadt	17	4	8	5	-5	20
13	Karlsruhe	18	4	8	6	-7	20
14	Hannover	17	5	5	7	-8	20
15	Nurnberg	18	4	7	7	-8	19
16	St Pauli	17	4	6	7	-2	18
17	Wehen	18	4	5	9	-14	17
18	Dresden	18	3	4	11	-17	13

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

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

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.