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2. Bundesliga

Sandhausen

U S U S U

1–1

Full-time

Hamburg

U U S T T

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

Sandhausen Hamburg

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,7

1,3

Over 2.5 Ø 42%

33%

50%

Both score Ø 83%

83%

Average goals

2,3

3,2

Scored

1,3

1,8

Conceded

1,0

1,3

Goal diff per game

+0,3

+0,5

This season — 2. Bundesliga · 16/16 matches

Win Ø 41%

31%

50%

Points per game

1,4

1,8

Over 2.5 Ø 38%

25%

50%

Both score Ø 56%

56%

Average goals

2,2

3,1

Scored

1,1

2,1

Conceded

1,1

1,0

Goal diff per game

+0,1

+1,1

🔒 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

12 Shots 25

5 Shots on target 4

5 Corners 6

9 Free kicks against 10

1 Yellow cards 1

0 Red cards 0

The table before the match Sandhausen 9. · Hamburg 2. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	17	9	7	1	+17	34
2	Hamburg	16	8	5	3	+17	29
3	Stuttgart	16	9	2	5	+6	29
4	Heidenheim	17	7	6	4	+7	27
5	Erzgebirge Aue	17	7	5	5	+1	26
6	Greuther Furth	17	7	4	6	+3	25
7	Osnabruck	16	6	5	5	+5	23
8	Regensburg	17	6	5	6	+3	23
9	Sandhausen	16	5	7	4	+1	22
10	Holstein Kiel	16	6	3	7	-1	21
11	Bochum	17	4	8	5	-1	20
12	Karlsruhe	17	4	8	5	-6	20
13	Hannover	17	5	5	7	-8	20
14	Darmstadt	16	4	7	5	-5	19
15	St Pauli	17	4	6	7	-2	18
16	Nurnberg	16	3	6	7	-10	15
17	Wehen	17	3	5	9	-15	14
18	Dresden	16	3	4	9	-12	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	Heidenheim	9	5	2	2	+7	17
5	Greuther Furth	8	5	1	2	+3	16
6	Bochum	9	3	6	0	+5	15
7	Sandhausen	8	4	3	1	+3	15
8	Osnabruck	8	4	2	2	+6	14
9	Regensburg	8	4	2	2	+3	14
10	St Pauli	9	4	2	3	+3	14
11	Karlsruhe	8	3	3	2	+0	12
12	Bielefeld	8	2	5	1	+2	11
13	Dresden	9	3	2	4	-2	11
14	Darmstadt	7	2	4	1	+1	10
15	Holstein Kiel	8	2	3	3	-2	9
16	Hannover	8	1	4	3	-6	7
17	Nurnberg	8	1	4	3	-9	7
18	Wehen	9	1	3	5	-13	6

#	Team	K	V	U	T	+/−	P
1	Bielefeld	9	7	2	0	+15	23
2	Hannover	9	4	1	4	-2	13
3	Holstein Kiel	8	4	0	4	+1	12
4	Hamburg	8	2	4	2	+3	10
5	Heidenheim	8	2	4	2	+0	10
6	Greuther Furth	9	2	3	4	+0	9
7	Regensburg	9	2	3	4	+0	9
8	Osnabruck	8	2	3	3	-1	9
9	Darmstadt	9	2	3	4	-6	9
10	Nurnberg	8	2	2	4	-1	8
11	Wehen	8	2	2	4	-2	8
12	Stuttgart	7	2	2	3	-4	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	7	0	2	5	-10	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.