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2. Bundesliga

Hannover

S T S U U

1–1

Full-time

Sandhausen

U T U T U

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

Hannover Sandhausen

Last 6 — all competitions · 6/6 matches

Win Ø 17%

33%

Points per game

1,3

0,5

Over 2.5 Ø 34%

50%

17%

Both score Ø 33%

33%

Average goals

2,8

1,7

Scored

1,2

0,5

Conceded

1,7

1,2

Goal diff per game

-0,5

-0,7

This season — 2. Bundesliga · 11/11 matches

Win Ø 27%

27%

Points per game

1,2

Over 2.5 Ø 37%

55%

18%

Both score Ø 41%

45%

36%

Average goals

2,7

1,9

Scored

1,2

0,9

Conceded

1,5

1,0

Goal diff per game

-0,4

-0,1

🔒 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

15 Shots 17

1 Shots on target 6

0 Corners 7

15 Free kicks against 9

3 Yellow cards 0

0 Red cards 0

The table before the match Hannover 14. · Sandhausen 13. ▾

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

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

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