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2. Bundesliga

Referee: Timo Gerach

Darmstadt

U T U T S

0–1

Full-time

Hannover

U U T T S

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

Darmstadt Hannover

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

0,8

1,0

Over 2.5 Ø 59%

50%

67%

Both score Ø 75%

67%

83%

Average goals

2,5

4,8

Scored

1,0

2,8

Conceded

1,5

2,0

Goal diff per game

-0,5

+0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 2/2 matches

Win Ø 0%

Points per game

0,5

0,0

Over 2.5 Ø 50%

50%

Both score Ø 50%

50%

Average goals

2,5

Scored

1,0

0,5

Conceded

1,5

2,0

Goal diff per game

-0,5

-1,5

🔒 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

0,91 xG 2,31

33% Possession 67%

11 Shots 26

3 Shots on target 7

1 Blocked shots 9

6 Goalkeeper saves 3

2 Corners 11

1 Offside 5

8 Free kicks against 12

1 Yellow cards 2

1 Red cards 0

The table before the match Darmstadt 17. · Hannover 18. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	3	3	0	0	+8	-1.2	9
2	Hertha	3	3	0	0	+6	+1.4	9
3	Wolfsburg	3	2	1	0	+4	+2.2	7
4	Heidenheim	3	2	0	1	+0	+1.6	6
5	Greuther Furth	3	1	1	1	-1	+0.3	4
6	Karlsruhe	3	1	1	1	-2	-1.5	4
7	Braunschweig	3	1	0	2	+2	+1.5	3
8	Bielefeld	3	1	0	2	-1	+3.0	3
9	Bochum	3	1	0	2	-1	+1.0	3
10	Cottbus	3	1	0	2	-2	-3.7	3
11	Magdeburg	2	1	0	1	-2	-1.4	3
12	Osnabruck	3	1	0	2	-3	-2.3	3
13	Dresden	3	1	0	2	-4	-1.7	3
14	Holstein Kiel	2	0	2	0	+0	+0.2	2
15	St Pauli	2	0	2	0	+0	+0.4	2
16	Kaiserslautern	2	0	2	0	+0	-0.1	2
17	Darmstadt	2	0	1	1	-1	-0.9	1
18	Hannover	2	0	0	2	-3	+1.3	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	2	2	0	0	+6	+0.0	6
2	Heidenheim	2	2	0	0	+3	+2.4	6
3	Hertha	1	1	0	0	+3	+0.8	3
4	Bielefeld	1	1	0	0	+3	+3.0	3
5	Cottbus	2	1	0	1	+1	-0.6	3
6	Dresden	1	1	0	0	+1	+0.3	3
7	Karlsruhe	2	1	0	1	-2	-1.2	3
8	Darmstadt	1	0	1	0	+0	-0.7	1
9	Holstein Kiel	1	0	1	0	+0	-0.5	1
10	St Pauli	1	0	1	0	+0	-0.1	1
11	Wolfsburg	1	0	1	0	+0	+0.4	1
12	Kaiserslautern	1	0	1	0	+0	+0.3	1
13	Hannover	1	0	0	1	-1	-0.4	0
14	Greuther Furth	1	0	0	1	-2	+1.3	0
15	Bochum	2	0	0	2	-2	+1.2	0
16	Braunschweig	2	0	0	2	-3	-0.7	0
17	Osnabruck	1	0	0	1	-3	-0.8	0
18	Magdeburg	1	0	0	1	-5	-2.2	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Wolfsburg	2	2	0	0	+4	+1.9	6
2	Hertha	2	2	0	0	+3	+0.6	6
3	Greuther Furth	2	1	1	0	+1	-1.0	4
4	Braunschweig	1	1	0	0	+5	+2.2	3
5	Magdeburg	1	1	0	0	+3	+0.8	3
6	Nurnberg	1	1	0	0	+2	-1.3	3
7	Bochum	1	1	0	0	+1	-0.3	3
8	Osnabruck	2	1	0	1	+0	-1.5	3
9	Holstein Kiel	1	0	1	0	+0	+0.7	1
10	St Pauli	1	0	1	0	+0	+0.5	1
11	Kaiserslautern	1	0	1	0	+0	-0.4	1
12	Karlsruhe	1	0	1	0	+0	-0.3	1
13	Darmstadt	1	0	0	1	-1	-0.3	0
14	Hannover	1	0	0	1	-2	+1.7	0
15	Heidenheim	1	0	0	1	-3	-0.8	0
16	Cottbus	1	0	0	1	-3	-3.0	0
17	Bielefeld	2	0	0	2	-4	+0.0	0
18	Dresden	2	0	0	2	-5	-2.0	0

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.