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2. Bundesliga

Referee: W Haslberger

Bochum

T S U T T

4–1

Full-time

Braunschweig

T U S T U

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

Bochum Braunschweig

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

0,8

Over 2.5 Ø 50%

67%

33%

Both score Ø 84%

100%

67%

Average goals

3,7

2,2

Scored

1,5

0,8

Conceded

2,2

1,3

Goal diff per game

-0,7

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 28/28 matches

Win Ø 29%

29%

Points per game

1,2

1,1

Over 2.5 Ø 52%

50%

54%

Both score Ø 63%

64%

61%

Average goals

2,8

2,7

Scored

1,4

1,1

Conceded

1,4

1,6

Goal diff per game

+0,0

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

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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: 2–0

2,15 xG 0,79

41% Possession 59%

15 Shots 15

6 Shots on target 2

3 Blocked shots 3

1 Goalkeeper saves 2

2 Corners 5

1 Offside 0

15 Free kicks against 4

6 Yellow cards 1

0 Red cards 0

The table before the match Bochum 10. · Braunschweig 16. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	28	16	7	5	+15	+12.6	55
2	Paderborn	28	16	6	6	+16	+13.3	54
3	Hannover	29	15	8	6	+14	+13.6	53
4	Elversberg	28	15	7	6	+18	+6.1	52
5	Darmstadt	29	13	11	5	+16	+4.2	50
6	Hertha	29	13	8	8	+9	-4.4	47
7	Kaiserslautern	29	14	4	11	+8	-0.0	46
8	Karlsruhe	29	11	7	11	-6	-19.3	40
9	Nurnberg	29	10	7	12	-2	+0.4	37
10	Bochum	28	8	9	11	-1	+3.6	33
11	Dresden	29	8	8	13	+0	+0.1	32
12	Holstein Kiel	29	8	8	13	-7	-10.9	32
13	Bielefeld	29	8	7	14	-2	+2.2	31
14	Fortuna Dusseldorf	29	9	4	16	-18	-5.2	31
15	Magdeburg	28	9	3	16	-8	+8.1	30
16	Braunschweig	28	8	6	14	-15	-0.3	30
17	Greuther Furth	29	8	6	15	-21	-12.3	30
18	Preußen Münster	29	6	10	13	-16	-11.9	28

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	15	10	4	1	+17	+8.5	34
2	Schalke 04	14	10	3	1	+10	+6.4	33
3	Kaiserslautern	15	10	1	4	+16	+4.8	31
4	Paderborn	14	9	2	3	+8	+10.6	29
5	Elversberg	13	8	4	1	+12	+4.7	28
6	Karlsruhe	14	8	3	3	+7	-5.3	27
7	Nurnberg	15	7	4	4	+6	+2.9	25
8	Hannover	14	7	3	4	+4	+9.1	24
9	Bochum	14	6	4	4	+5	+8.8	22
10	Bielefeld	14	6	3	5	+8	+12.2	21
11	Hertha	15	5	5	5	-2	-1.0	20
12	Braunschweig	15	5	4	6	-7	+4.1	19
13	Fortuna Dusseldorf	15	5	3	7	-8	-1.2	18
14	Holstein Kiel	14	4	4	6	+0	-0.9	16
15	Preußen Münster	15	3	7	5	-3	-3.2	16
16	Greuther Furth	14	4	4	6	-9	-5.7	16
17	Dresden	14	4	3	7	+4	+7.0	15
18	Magdeburg	14	3	2	9	-7	+7.1	11

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	15	8	5	2	+10	+4.5	29
2	Hertha	14	8	3	3	+11	-3.5	27
3	Paderborn	14	7	4	3	+8	+2.7	25
4	Elversberg	15	7	3	5	+6	+1.5	24
5	Schalke 04	14	6	4	4	+5	+6.2	22
6	Magdeburg	14	6	1	7	-1	+1.0	19
7	Dresden	15	4	5	6	-4	-6.9	17
8	Darmstadt	14	3	7	4	-1	-4.2	16
9	Holstein Kiel	15	4	4	7	-7	-10.0	16
10	Kaiserslautern	14	4	3	7	-8	-4.8	15
11	Greuther Furth	15	4	2	9	-12	-6.6	14
12	Fortuna Dusseldorf	14	4	1	9	-10	-4.0	13
13	Karlsruhe	15	3	4	8	-13	-14.0	13
14	Nurnberg	14	3	3	8	-8	-2.5	12
15	Preußen Münster	14	3	3	8	-13	-8.8	12
16	Bochum	14	2	5	7	-6	-5.2	11
17	Braunschweig	13	3	2	8	-8	-4.3	11
18	Bielefeld	15	2	4	9	-10	-10.0	10

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.