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2. Bundesliga

Referee: M Bacher

Braunschweig

T U U T U

0–1

Full-time

Hansa Rostock

U T 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

Braunschweig Hansa Rostock

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

1,0

0,8

Over 2.5 Ø 42%

33%

50%

Both score Ø 42%

50%

33%

Average goals

2,0

2,5

Scored

1,0

Conceded

1,0

1,5

Goal diff per game

+0,0

-0,5

This season — 2. Bundesliga · 16/16 matches

Win Ø 28%

25%

31%

Points per game

1,1

Over 2.5 Ø 47%

50%

44%

Both score Ø 47%

56%

38%

Average goals

2,7

2,4

Scored

1,1

1,0

Conceded

1,6

1,4

Goal diff per game

-0,4

🔒 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: 0–0

51% Possession 49%

16 Shots 7

3 Shots on target 1

5 Blocked shots 1

1 Goalkeeper saves 4

6 Corners 1

1 Offside 0

10 Free kicks against 9

2 Yellow cards 3

0 Red cards 0

The table before the match Braunschweig 12. · Hansa Rostock 13. ▾

#	Team	K	V	U	T	+/−	P
1	Darmstadt	16	10	5	1	+12	35
2	Hamburg	17	11	1	5	+10	34
3	Heidenheim	17	9	6	2	+13	33
4	Kaiserslautern	17	7	8	2	+6	29
5	Hannover	17	8	4	5	+7	28
6	Paderborn	16	8	2	6	+14	26
7	Fortuna Dusseldorf	17	8	2	7	+6	26
8	Holstein Kiel	17	6	7	4	+2	25
9	Greuther Furth	16	4	7	5	-4	19
10	Regensburg	17	5	4	8	-10	19
11	Karlsruhe	17	5	3	9	-4	18
12	Braunschweig	16	4	6	6	-7	18
13	Hansa Rostock	16	5	3	8	-7	18
14	St Pauli	17	3	8	6	-2	17
15	Magdeburg	16	5	2	9	-11	17
16	Sandhausen	17	4	4	9	-8	16
17	Nurnberg	16	4	4	8	-10	16
18	Bielefeld	16	4	2	10	-7	14

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

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

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.