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2. Bundesliga

Hannover

U T S S S

1–1

Full-time

Karlsruhe

S T T S 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

Hannover Karlsruhe

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,2

1,3

Over 2.5 Ø 42%

67%

17%

Both score Ø 50%

67%

33%

Average goals

3,3

1,8

Scored

2,3

1,0

Conceded

1,0

0,8

Goal diff per game

+1,3

+0,2

This season — 2. Bundesliga · 26/27 matches

Win Ø 29%

35%

22%

Points per game

1,3

1,0

Over 2.5 Ø 55%

62%

48%

Both score Ø 59%

58%

59%

Average goals

3,0

Scored

1,5

1,3

Conceded

1,5

1,7

Goal diff per game

+0,0

-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

19 Shots 13

4 Shots on target 3

5 Corners 2

12 Free kicks against 18

2 Yellow cards 0

0 Red cards 0

The table before the match Hannover 9. · Karlsruhe 16. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	27	14	11	2	+26	53
2	Hamburg	27	12	10	5	+20	46
3	Stuttgart	27	13	6	8	+11	45
4	Heidenheim	27	12	8	7	+6	44
5	Darmstadt	28	10	12	6	+4	42
6	Holstein Kiel	27	10	8	9	+1	38
7	Erzgebirge Aue	28	10	8	10	+0	38
8	Greuther Furth	27	10	7	10	+2	37
9	Hannover	26	9	8	9	-1	35
10	Regensburg	28	9	8	11	-6	35
11	St Pauli	27	8	9	10	-2	33
12	Osnabruck	28	8	9	11	-3	33
13	Sandhausen	28	7	12	9	-4	33
14	Bochum	27	7	11	9	-2	32
15	Nurnberg	28	7	10	11	-12	31
16	Karlsruhe	27	6	10	11	-11	28
17	Wehen	28	7	7	14	-13	28
18	Dresden	25	6	6	13	-16	24

#	Team	K	V	U	T	+/−	P
1	Stuttgart	13	10	1	2	+18	31
2	Erzgebirge Aue	14	9	3	2	+13	30
3	Hamburg	13	9	2	2	+18	29
4	Heidenheim	14	8	4	2	+12	28
5	St Pauli	14	7	4	3	+9	25
6	Bielefeld	13	6	6	1	+12	24
7	Darmstadt	14	5	8	1	+8	23
8	Greuther Furth	14	7	2	5	+2	23
9	Regensburg	14	6	4	4	+2	22
10	Bochum	14	4	7	3	+4	19
11	Sandhausen	14	4	7	3	+0	19
12	Osnabruck	14	5	3	6	+0	18
13	Holstein Kiel	13	4	5	4	-1	17
14	Karlsruhe	14	4	5	5	-2	17
15	Dresden	13	5	2	6	-2	17
16	Nurnberg	14	3	6	5	-9	15
17	Hannover	12	2	7	3	-4	13
18	Wehen	14	3	4	7	-13	13

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

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.