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2. Bundesliga

Referee: D Siebert

Hannover

T T U T U

1–1

Full-time

Hansa Rostock

T S T T T

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 Hansa Rostock

Last 6 — all competitions · 6/6 matches

Win Ø 9%

17%

Points per game

0,3

0,5

Over 2.5 Ø 25%

50%

Both score Ø 42%

83%

Average goals

3,3

1,5

Scored

1,2

0,2

Conceded

2,2

1,3

Goal diff per game

-1,0

-1,2

This season — 2. Bundesliga · 23/23 matches

Win Ø 33%

35%

30%

Points per game

1,3

1,0

Over 2.5 Ø 39%

48%

30%

Both score Ø 44%

61%

26%

Average goals

2,7

2,1

Scored

1,4

0,8

Conceded

1,3

Goal diff per game

+0,0

-0,6

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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: 0–1

56% Possession 44%

10 Shots 20

6 Shots on target 7

1 Blocked shots 7

6 Goalkeeper saves 5

5 Corners 6

1 Offside 1

11 Free kicks against 16

1 Yellow cards 3

0 Red cards 0

The table before the match Hannover 10. · Hansa Rostock 15. ▾

#	Team	K	V	U	T	+/−	P
1	Darmstadt	24	14	7	3	+17	49
2	Hamburg	23	15	3	5	+18	48
3	Heidenheim	24	13	8	3	+20	47
4	Paderborn	24	12	4	8	+18	40
5	Fortuna Dusseldorf	24	12	3	9	+8	39
6	Kaiserslautern	24	10	9	5	+7	39
7	St Pauli	24	10	8	6	+6	38
8	Holstein Kiel	23	8	9	6	+2	33
9	Karlsruhe	23	9	4	10	+2	31
10	Hannover	23	8	6	9	+1	30
11	Magdeburg	24	8	4	12	-11	28
12	Nurnberg	24	8	4	12	-15	28
13	Greuther Furth	24	6	9	9	-7	27
14	Bielefeld	24	7	3	14	-5	24
15	Hansa Rostock	23	7	3	13	-13	24
16	Braunschweig	24	5	7	12	-14	22
17	Sandhausen	24	5	6	13	-17	21
18	Regensburg	23	5	5	13	-17	20

#	Team	K	V	U	T	+/−	P
1	Heidenheim	12	9	3	0	+19	30
2	Fortuna Dusseldorf	12	8	2	2	+14	26
3	Darmstadt	12	7	5	0	+12	26
4	St Pauli	12	7	5	0	+12	26
5	Hamburg	12	8	1	3	+11	25
6	Paderborn	12	8	0	4	+18	24
7	Greuther Furth	12	5	6	1	+3	21
8	Kaiserslautern	12	5	5	2	+3	20
9	Nurnberg	12	6	1	5	+0	19
10	Hannover	11	5	2	4	+2	17
11	Karlsruhe	12	5	2	5	+0	17
12	Holstein Kiel	11	4	4	3	+4	16
13	Bielefeld	12	5	0	7	+1	15
14	Braunschweig	12	4	3	5	+0	15
15	Regensburg	12	3	5	4	-7	14
16	Magdeburg	12	3	3	6	-6	12
17	Sandhausen	11	3	3	5	-7	12
18	Hansa Rostock	12	3	1	8	-8	10

#	Team	K	V	U	T	+/−	P
1	Hamburg	11	7	2	2	+7	23
2	Darmstadt	12	7	2	3	+5	23
3	Kaiserslautern	12	5	4	3	+4	19
4	Heidenheim	12	4	5	3	+1	17
5	Holstein Kiel	12	4	5	3	-2	17
6	Paderborn	12	4	4	4	+0	16
7	Magdeburg	12	5	1	6	-5	16
8	Karlsruhe	11	4	2	5	+2	14
9	Hansa Rostock	11	4	2	5	-5	14
10	Hannover	12	3	4	5	-1	13
11	Fortuna Dusseldorf	12	4	1	7	-6	13
12	St Pauli	12	3	3	6	-6	12
13	Bielefeld	12	2	3	7	-6	9
14	Sandhausen	13	2	3	8	-10	9
15	Nurnberg	12	2	3	7	-15	9
16	Braunschweig	12	1	4	7	-14	7
17	Greuther Furth	12	1	3	8	-10	6
18	Regensburg	11	2	0	9	-10	6

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.