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2. Bundesliga

Referee: Robert Hartmann

Braunschweig

T T T T S

0–3

Full-time

Hannover

T U S U 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

Braunschweig Hannover

Last 6 — all competitions · 6/6 matches

Win Ø 25%

17%

33%

Points per game

0,7

1,3

Over 2.5 Ø 92%

83%

100%

Both score Ø 84%

100%

67%

Average goals

3,3

3,5

Scored

1,2

1,5

Conceded

2,2

2,0

Goal diff per game

-1,0

-0,5

This season — 2. Bundesliga · 9/9 matches

Win Ø 45%

33%

56%

Points per game

1,1

1,9

Over 2.5 Ø 73%

67%

78%

Both score Ø 67%

78%

56%

Average goals

3,1

Scored

1,2

1,7

Conceded

1,9

1,4

Goal diff per game

-0,7

+0,2

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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: 0–2

27% Possession 73%

8 Shots 24

3 Shots on target 12

2 Blocked shots 6

9 Goalkeeper saves 3

2 Corners 5

0 Offside 1

9 Free kicks against 17

2 Yellow cards 5

1 Red cards 0

The table before the match Braunschweig 12. · Hannover 7. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	10	8	0	2	+9	+0.8	24
2	Paderborn	10	7	2	1	+8	+2.8	23
3	Elversberg	10	7	1	2	+14	-2.9	22
4	Kaiserslautern	9	6	0	3	+7	-0.2	18
5	Darmstadt	10	5	3	2	+7	+0.9	18
6	Karlsruhe	10	5	3	2	+4	+0.3	18
7	Hannover	9	5	2	2	+2	+2.5	17
8	Hertha	10	4	2	4	+2	-1.9	14
9	Bielefeld	10	4	1	5	+3	+1.7	13
10	Holstein Kiel	10	3	3	4	+1	+0.1	12
11	Preußen Münster	9	3	2	4	-2	-2.5	11
12	Braunschweig	9	3	1	5	-6	-1.1	10
13	Fortuna Dusseldorf	10	3	1	6	-9	-3.5	10
14	Greuther Furth	10	3	1	6	-12	-0.2	10
15	Nurnberg	9	2	2	5	-5	+0.1	8
16	Dresden	10	1	4	5	-5	+1.8	7
17	Bochum	10	2	1	7	-6	+1.8	7
18	Magdeburg	9	1	1	7	-12	-0.5	4

#	Team	K	V	U	T	+/−	xG +/−	P
1	Elversberg	5	4	1	0	+9	-0.4	13
2	Kaiserslautern	4	4	0	0	+7	+1.0	12
3	Paderborn	5	4	0	1	+4	+0.4	12
4	Karlsruhe	5	4	0	1	+4	+0.1	12
5	Schalke 04	5	4	0	1	+3	+1.7	12
6	Darmstadt	5	3	2	0	+6	+0.6	11
7	Bielefeld	6	3	0	3	+4	+2.2	9
8	Hannover	5	3	0	2	-1	+1.2	9
9	Preußen Münster	5	2	2	1	+2	-2.4	8
10	Hertha	5	2	1	2	-2	-0.2	7
11	Bochum	4	2	0	2	+1	+2.4	6
12	Holstein Kiel	5	1	2	2	+0	+0.5	5
13	Nurnberg	5	1	2	2	-3	-0.4	5
14	Braunschweig	4	1	1	2	-3	+0.3	4
15	Greuther Furth	5	1	1	3	-7	+0.1	4
16	Dresden	5	0	2	3	-3	+1.8	2
17	Fortuna Dusseldorf	5	0	1	4	-7	-1.3	1
18	Magdeburg	4	0	0	4	-8	+1.3	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	5	4	0	1	+6	-1.0	12
2	Paderborn	5	3	2	0	+4	+2.4	11
3	Elversberg	5	3	0	2	+5	-2.4	9
4	Fortuna Dusseldorf	5	3	0	2	-2	-2.2	9
5	Hannover	4	2	2	0	+3	+1.3	8
6	Hertha	5	2	1	2	+4	-1.7	7
7	Darmstadt	5	2	1	2	+1	+0.4	7
8	Holstein Kiel	5	2	1	2	+1	-0.4	7
9	Karlsruhe	5	1	3	1	+0	+0.2	6
10	Kaiserslautern	5	2	0	3	+0	-1.2	6
11	Braunschweig	5	2	0	3	-3	-1.3	6
12	Greuther Furth	5	2	0	3	-5	-0.3	6
13	Dresden	5	1	2	2	-2	-0.1	5
14	Bielefeld	4	1	1	2	-1	-0.5	4
15	Magdeburg	5	1	1	3	-4	-1.8	4
16	Nurnberg	4	1	0	3	-2	+0.4	3
17	Preußen Münster	4	1	0	3	-4	-0.1	3
18	Bochum	6	0	1	5	-7	-0.6	1

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.