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2. Bundesliga

Referee: Wolfgang Haslberger

Bochum

S S T S T

1–0

Full-time

Bielefeld

T U S T 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

Bochum Bielefeld

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,0

1,2

Over 2.5 Ø 50%

33%

67%

Both score Ø 34%

17%

50%

Average goals

2,2

3,0

Scored

1,5

1,7

Conceded

0,7

1,3

Goal diff per game

+0,8

+0,3

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 14/14 matches

Win Ø 36%

36%

Points per game

1,1

1,2

Over 2.5 Ø 61%

57%

64%

Both score Ø 61%

57%

64%

Average goals

2,9

3,4

Scored

1,4

1,9

Conceded

1,4

1,6

Goal diff per game

+0,0

+0,3

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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The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–0

2,23 xG 0,85

41% Possession 59%

13 Shots 15

6 Shots on target 6

1 Blocked shots 4

6 Goalkeeper saves 4

4 Corners 5

1 Offside 3

22 Free kicks against 12

5 Yellow cards 2

0 Red cards 0

The table before the match Bochum 12. · Bielefeld 11. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	15	11	1	3	+12	+4.3	34
2	Paderborn	14	9	2	3	+7	+1.2	29
3	Hannover	15	8	4	3	+9	+1.6	28
4	Elversberg	14	8	3	3	+14	-0.9	27
5	Darmstadt	14	7	5	2	+10	+5.1	26
6	Hertha	14	8	2	4	+7	-0.4	26
7	Kaiserslautern	14	7	2	5	+7	+1.4	23
8	Karlsruhe	14	6	3	5	-3	-6.8	21
9	Preußen Münster	15	5	4	6	-3	-0.7	19
10	Nurnberg	14	5	3	6	-4	+0.4	18
11	Bielefeld	14	5	2	7	+4	+0.9	17
12	Bochum	14	5	1	8	+0	+5.4	16
13	Holstein Kiel	14	4	3	7	-3	-3.8	15
14	Fortuna Dusseldorf	15	4	2	9	-12	-6.3	14
15	Dresden	14	3	4	7	-6	+0.2	13
16	Braunschweig	14	4	1	9	-11	+1.4	13
17	Greuther Furth	14	4	1	9	-17	-4.7	13
18	Magdeburg	14	3	1	10	-11	+1.6	10

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	7	6	0	1	+5	+2.6	18
2	Kaiserslautern	7	5	1	1	+9	+3.5	16
3	Elversberg	7	4	3	0	+9	-0.3	15
4	Darmstadt	7	4	3	0	+8	+4.2	15
5	Karlsruhe	7	5	0	2	+4	-2.7	15
6	Paderborn	7	5	0	2	+3	+0.7	15
7	Preußen Münster	8	3	4	1	+3	-0.8	13
8	Hertha	7	4	1	2	+1	+1.1	13
9	Bielefeld	8	4	0	4	+7	+5.1	12
10	Hannover	7	4	0	3	+1	+2.0	12
11	Nurnberg	7	3	2	2	+0	+0.9	11
12	Bochum	6	3	0	3	+2	+5.2	9
13	Holstein Kiel	7	2	2	3	+0	-0.5	8
14	Braunschweig	7	2	1	4	-6	+3.2	7
15	Greuther Furth	7	2	1	4	-9	-3.0	7
16	Magdeburg	7	2	0	5	-4	+3.6	6
17	Dresden	7	1	2	4	-3	+2.9	5
18	Fortuna Dusseldorf	8	1	2	5	-8	-3.2	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	8	4	4	0	+8	-0.4	16
2	Schalke 04	8	5	1	2	+7	+1.7	16
3	Paderborn	7	4	2	1	+4	+0.5	14
4	Hertha	7	4	1	2	+6	-1.5	13
5	Elversberg	7	4	0	3	+5	-0.6	12
6	Darmstadt	7	3	2	2	+2	+0.9	11
7	Fortuna Dusseldorf	7	3	0	4	-4	-3.1	9
8	Dresden	7	2	2	3	-3	-2.7	8
9	Bochum	8	2	1	5	-2	+0.2	7
10	Kaiserslautern	7	2	1	4	-2	-2.1	7
11	Holstein Kiel	7	2	1	4	-3	-3.4	7
12	Nurnberg	7	2	1	4	-4	-0.5	7
13	Braunschweig	7	2	0	5	-5	-1.8	6
14	Preußen Münster	7	2	0	5	-6	+0.1	6
15	Karlsruhe	7	1	3	3	-7	-4.0	6
16	Greuther Furth	7	2	0	5	-8	-1.7	6
17	Bielefeld	6	1	2	3	-3	-4.2	5
18	Magdeburg	7	1	1	5	-7	-2.0	4

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.