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2. Bundesliga

Referee: Wolfgang Haslberger

Osnabruck

T T T S T

3–1

Full-time

Braunschweig

T S T T T

🔒 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

Osnabruck Braunschweig

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,0

Over 2.5 Ø 75%

83%

67%

Both score Ø 59%

50%

67%

Average goals

3,8

4,3

Scored

1,2

2,2

Conceded

2,7

2,2

Goal diff per game

-1,5

+0,0

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 3/3 matches

Win Ø 33%

33%

Points per game

1,0

Over 2.5 Ø 67%

67%

Both score Ø 50%

33%

67%

Average goals

3,7

5,3

Scored

1,3

3,0

Conceded

2,3

Goal diff per game

-1,0

+0,7

xG created Pro

xG conceded Pro

xG diff Pro

🔒 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

2,44 xG 1,86

45% Possession 55%

13 Shots 21

8 Shots on target 12

2 Blocked shots 2

10 Goalkeeper saves 5

5 Corners 5

1 Offside 1

11 Free kicks against 13

1 Yellow cards 5

0 Red cards 0

The table before the match Osnabruck 16. · Braunschweig 13. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	4	3	1	0	+8	-0.1	10
2	Hertha	3	3	0	0	+6	+1.4	9
3	Wolfsburg	4	2	2	0	+4	+3.0	8
4	Kaiserslautern	4	2	2	0	+4	+0.9	8
5	Heidenheim	3	2	0	1	+0	+1.6	6
6	Magdeburg	3	2	0	1	+0	-2.7	6
7	Bochum	4	2	0	2	+0	+1.0	6
8	Karlsruhe	4	1	2	1	-2	-1.5	5
9	Bielefeld	4	1	1	2	-1	+3.0	4
10	Greuther Furth	3	1	1	1	-1	+0.3	4
11	Cottbus	4	1	1	2	-2	-4.4	4
12	Hannover	4	1	1	2	-2	+2.7	4
13	Braunschweig	3	1	0	2	+2	+1.5	3
14	St Pauli	4	0	3	1	-1	+1.0	3
15	Holstein Kiel	4	0	3	1	-2	+0.3	3
16	Osnabruck	3	1	0	2	-3	-2.3	3
17	Dresden	4	1	0	3	-5	-1.7	3
18	Darmstadt	4	0	1	3	-5	-3.9	1

#	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	Bielefeld	2	1	1	0	+3	+3.0	4
4	Kaiserslautern	2	1	1	0	+3	+1.9	4
5	Hertha	1	1	0	0	+3	+0.8	3
6	Cottbus	2	1	0	1	+1	-0.6	3
7	Dresden	2	1	0	1	+0	+0.3	3
8	Karlsruhe	2	1	0	1	-2	-1.2	3
9	Magdeburg	2	1	0	1	-3	-3.5	3
10	Wolfsburg	2	0	2	0	+0	+1.2	2
11	Holstein Kiel	2	0	2	0	+0	-1.6	2
12	Darmstadt	2	0	1	1	-1	-2.1	1
13	St Pauli	2	0	1	1	-1	+0.6	1
14	Hannover	2	0	1	1	-1	-0.4	1
15	Greuther Furth	1	0	0	1	-2	+1.3	0
16	Bochum	2	0	0	2	-2	+1.2	0
17	Braunschweig	2	0	0	2	-3	-0.7	0
18	Osnabruck	1	0	0	1	-3	-0.8	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	Bochum	2	2	0	0	+2	-0.3	6
4	Nurnberg	2	1	1	0	+2	-0.1	4
5	Greuther Furth	2	1	1	0	+1	-1.0	4
6	Kaiserslautern	2	1	1	0	+1	-1.0	4
7	Braunschweig	1	1	0	0	+5	+2.2	3
8	Magdeburg	1	1	0	0	+3	+0.8	3
9	Osnabruck	2	1	0	1	+0	-1.5	3
10	Hannover	2	1	0	1	-1	+3.1	3
11	St Pauli	2	0	2	0	+0	+0.5	2
12	Karlsruhe	2	0	2	0	+0	-0.3	2
13	Holstein Kiel	2	0	1	1	-2	+1.9	1
14	Cottbus	2	0	1	1	-3	-3.8	1
15	Heidenheim	1	0	0	1	-3	-0.8	0
16	Bielefeld	2	0	0	2	-4	+0.0	0
17	Darmstadt	2	0	0	2	-4	-1.9	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.