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2. Bundesliga

Referee: Marc Philip Eckermann

Braunschweig

S T S T S

0–1

Full-time

Bochum

S U U S 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 Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 42%

50%

33%

Points per game

1,7

1,3

Over 2.5 Ø 33%

33%

Both score Ø 59%

50%

67%

Average goals

2,8

2,2

Scored

1,8

1,0

Conceded

1,0

1,2

Goal diff per game

+0,8

-0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 1/1 matches

Win Ø 50%

100%

Points per game

3,0

0,0

Over 2.5 Ø 50%

100%

Both score Ø 50%

100%

Average goals

7,0

1,0

Scored

6,0

0,0

Conceded

1,0

Goal diff per game

+5,0

-1,0

🔒 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: 0–1

1,51 xG 1,23

55% Possession 45%

17 Shots 13

3 Shots on target 4

6 Blocked shots 3

3 Goalkeeper saves 3

5 Corners 6

3 Offside 0

11 Free kicks against 13

2 Yellow cards 3

0 Red cards 0

The table before the match Braunschweig 1. · Bochum 15. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Braunschweig	1	1	0	0	+5	+2.2	3
2	Nurnberg	1	1	0	0	+3	+0.3	3
3	Cottbus	1	1	0	0	+2	-1.7	3
4	Heidenheim	1	1	0	0	+1	+0.7	3
5	Karlsruhe	1	1	0	0	+1	+0.2	3
6	Hertha	1	1	0	0	+1	-0.4	3
7	Darmstadt	1	0	1	0	+0	-0.7	1
8	Holstein Kiel	1	0	1	0	+0	+0.7	1
9	St Pauli	1	0	1	0	+0	-0.1	1
10	Greuther Furth	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	-0.4	1
13	Osnabruck	1	0	0	1	-1	-0.7	0
14	Bielefeld	1	0	0	1	-1	-0.2	0
15	Bochum	1	0	0	1	-1	+0.4	0
16	Hannover	1	0	0	1	-2	+1.7	0
17	Dresden	1	0	0	1	-3	-0.3	0
18	Magdeburg	1	0	0	1	-5	-2.2	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	1	1	0	0	+3	+0.3	3
2	Cottbus	1	1	0	0	+2	-1.7	3
3	Heidenheim	1	1	0	0	+1	+0.7	3
4	Karlsruhe	1	1	0	0	+1	+0.2	3
5	Darmstadt	1	0	1	0	+0	-0.7	1
6	St Pauli	1	0	1	0	+0	-0.1	1
7	Wolfsburg	1	0	1	0	+0	+0.4	1
8	Bochum	1	0	0	1	-1	+0.4	0
9	Magdeburg	1	0	0	1	-5	-2.2	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Braunschweig	1	1	0	0	+5	+2.2	3
2	Hertha	1	1	0	0	+1	-0.4	3
3	Holstein Kiel	1	0	1	0	+0	+0.7	1
4	Greuther Furth	1	0	1	0	+0	+0.1	1
5	Kaiserslautern	1	0	1	0	+0	-0.4	1
6	Osnabruck	1	0	0	1	-1	-0.7	0
7	Bielefeld	1	0	0	1	-1	-0.2	0
8	Hannover	1	0	0	1	-2	+1.7	0
9	Dresden	1	0	0	1	-3	-0.3	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.