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2. Bundesliga

Referee: Marc Philip Eckermann

Bielefeld

S T U S T

1–2

Full-time

Preußen Münster

U T 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

Bielefeld Preußen Münster

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,2

0,8

Over 2.5 Ø 59%

67%

50%

Both score Ø 50%

50%

Average goals

3,7

2,2

Scored

2,0

0,8

Conceded

1,7

1,3

Goal diff per game

+0,3

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 13/13 matches

Win Ø 35%

38%

31%

Points per game

1,3

1,2

Over 2.5 Ø 66%

62%

69%

Both score Ø 70%

62%

77%

Average goals

3,5

2,9

Scored

1,9

1,3

Conceded

1,5

1,6

Goal diff per game

+0,4

-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: 1–1

1,83 xG 1,46

51% Possession 49%

17 Shots 12

2 Shots on target 6

11 Blocked shots 1

5 Goalkeeper saves 1

13 Corners 2

2 Offside 1

16 Free kicks against 18

3 Yellow cards 6

0 Red cards 0

The table before the match Bielefeld 10. · Preußen Münster 13. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	14	10	1	3	+10	+3.8	31
2	Paderborn	14	9	2	3	+7	+1.2	29
3	Hannover	14	8	3	3	+9	+3.6	27
4	Elversberg	13	8	2	3	+14	-1.2	26
5	Hertha	14	8	2	4	+7	-0.4	26
6	Darmstadt	13	7	4	2	+10	+5.3	25
7	Kaiserslautern	14	7	2	5	+7	+1.4	23
8	Karlsruhe	14	6	3	5	-3	-6.8	21
9	Nurnberg	14	5	3	6	-4	+0.4	18
10	Bielefeld	13	5	2	6	+5	+0.6	17
11	Bochum	14	5	1	8	+0	+5.4	16
12	Holstein Kiel	14	4	3	7	-3	-3.8	15
13	Preußen Münster	13	4	3	6	-4	-2.3	15
14	Fortuna Dusseldorf	13	4	2	7	-9	-4.4	14
15	Braunschweig	14	4	1	9	-11	+1.4	13
16	Greuther Furth	14	4	1	9	-17	-4.7	13
17	Dresden	13	2	4	7	-7	-1.1	10
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	Darmstadt	7	4	3	0	+8	+4.2	15
4	Karlsruhe	7	5	0	2	+4	-2.7	15
5	Paderborn	7	5	0	2	+3	+0.7	15
6	Elversberg	6	4	2	0	+9	-0.6	14
7	Hertha	7	4	1	2	+1	+1.1	13
8	Bielefeld	7	4	0	3	+8	+4.7	12
9	Preußen Münster	7	3	3	1	+3	-2.8	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	Fortuna Dusseldorf	7	1	2	4	-6	-2.7	5
18	Dresden	6	0	2	4	-4	+1.6	2

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	7	4	3	0	+8	+1.5	15
2	Paderborn	7	4	2	1	+4	+0.5	14
3	Hertha	7	4	1	2	+6	-1.5	13
4	Schalke 04	7	4	1	2	+5	+1.2	13
5	Elversberg	7	4	0	3	+5	-0.6	12
6	Darmstadt	6	3	1	2	+2	+1.2	10
7	Fortuna Dusseldorf	6	3	0	3	-3	-1.8	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	Karlsruhe	7	1	3	3	-7	-4.0	6
15	Greuther Furth	7	2	0	5	-8	-1.7	6
16	Bielefeld	6	1	2	3	-3	-4.2	5
17	Magdeburg	7	1	1	5	-7	-2.0	4
18	Preußen Münster	6	1	0	5	-7	+0.5	3

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.