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2. Bundesliga

Referee: Timo Gansloweit

Greuther Furth

U T T T T

1–0

Full-time

Preußen Münster

S T U T S

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

Greuther Furth Preußen Münster

Last 6 — all competitions · 6/6 matches

Win Ø 17%

33%

Points per game

0,2

1,2

Over 2.5 Ø 75%

67%

83%

Both score Ø 67%

50%

83%

Average goals

3,3

3,5

Scored

0,7

1,5

Conceded

2,7

2,0

Goal diff per game

-2,0

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 11/11 matches

Win Ø 32%

27%

36%

Points per game

0,9

1,3

Over 2.5 Ø 82%

82%

Both score Ø 78%

64%

91%

Average goals

4,3

3,4

Scored

1,5

Conceded

2,7

1,8

Goal diff per game

-1,2

-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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🔒 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

0,21 xG 0,84

44% Possession 56%

7 Shots 12

2 Shots on target 3

2 Blocked shots 6

3 Goalkeeper saves 1

4 Corners 7

6 Offside 3

9 Free kicks against 12

1 Yellow cards 4

0 Red cards 0

The table before the match Greuther Furth 16. · Preußen Münster 10. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	11	8	2	1	+9	+3.2	26
2	Schalke 04	11	8	0	3	+8	+1.8	24
3	Elversberg	11	7	2	2	+14	-3.0	23
4	Hannover	11	6	3	2	+5	+2.6	21
5	Karlsruhe	11	6	3	2	+5	-0.8	21
6	Kaiserslautern	11	6	2	3	+7	+0.1	20
7	Darmstadt	11	5	4	2	+7	+3.6	19
8	Hertha	11	5	2	4	+4	-0.9	17
9	Bielefeld	11	4	2	5	+3	-1.0	14
10	Preußen Münster	11	4	2	5	-3	-1.8	14
11	Holstein Kiel	11	3	3	5	+0	-0.6	12
12	Nurnberg	11	3	3	5	-4	+0.3	12
13	Fortuna Dusseldorf	11	3	2	6	-9	-3.8	11
14	Bochum	11	3	1	7	-4	+3.0	10
15	Braunschweig	11	3	1	7	-10	-1.3	10
16	Greuther Furth	11	3	1	7	-13	-0.6	10
17	Dresden	11	1	4	6	-7	+0.8	7
18	Magdeburg	11	2	1	8	-12	-1.7	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	6	5	0	1	+5	+0.8	15
2	Karlsruhe	6	5	0	1	+5	-0.9	15
3	Elversberg	6	4	2	0	+9	-0.6	14
4	Kaiserslautern	5	4	1	0	+7	+1.0	13
5	Darmstadt	6	3	3	0	+6	+3.2	12
6	Schalke 04	5	4	0	1	+3	+1.7	12
7	Preußen Münster	6	3	2	1	+3	-1.7	11
8	Hertha	6	3	1	2	+0	+0.9	10
9	Bielefeld	6	3	0	3	+4	+2.2	9
10	Bochum	5	3	0	2	+3	+3.6	9
11	Hannover	5	3	0	2	-1	+1.2	9
12	Nurnberg	6	2	2	2	-2	-0.2	8
13	Holstein Kiel	5	1	2	2	+0	+0.5	5
14	Braunschweig	5	1	1	3	-6	+0.3	4
15	Greuther Furth	5	1	1	3	-7	+0.1	4
16	Magdeburg	5	1	0	4	-6	+1.3	3
17	Dresden	5	0	2	3	-3	+1.8	2
18	Fortuna Dusseldorf	6	0	2	4	-7	-1.6	2

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	6	3	3	0	+6	+1.5	12
2	Schalke 04	6	4	0	2	+5	+0.1	12
3	Paderborn	5	3	2	0	+4	+2.4	11
4	Elversberg	5	3	0	2	+5	-2.4	9
5	Fortuna Dusseldorf	5	3	0	2	-2	-2.2	9
6	Hertha	5	2	1	2	+4	-1.7	7
7	Darmstadt	5	2	1	2	+1	+0.4	7
8	Kaiserslautern	6	2	1	3	+0	-0.8	7
9	Holstein Kiel	6	2	1	3	+0	-1.1	7
10	Karlsruhe	5	1	3	1	+0	+0.2	6
11	Braunschweig	6	2	0	4	-4	-1.6	6
12	Greuther Furth	6	2	0	4	-6	-0.7	6
13	Bielefeld	5	1	2	2	-1	-3.1	5
14	Dresden	6	1	2	3	-4	-1.1	5
15	Nurnberg	5	1	1	3	-2	+0.4	4
16	Magdeburg	6	1	1	4	-6	-3.0	4
17	Preußen Münster	5	1	0	4	-6	-0.1	3
18	Bochum	6	0	1	5	-7	-0.6	1

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.