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2. Bundesliga

Referee: T Gerach

Paderborn

T T S U T

2–1

Full-time

Preußen Münster

S U T U 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

Paderborn Preußen Münster

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

0,7

1,0

Over 2.5 Ø 50%

67%

33%

Both score Ø 50%

50%

Average goals

3,0

2,0

Scored

1,3

0,8

Conceded

1,7

1,2

Goal diff per game

-0,3

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 18/18 matches

Win Ø 42%

56%

28%

Points per game

1,8

1,1

Over 2.5 Ø 59%

56%

61%

Both score Ø 64%

56%

72%

Average goals

2,7

2,8

Scored

1,6

1,2

Conceded

1,1

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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🔒 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

3,79 xG 0,59

66% Possession 34%

28 Shots 8

8 Shots on target 2

6 Blocked shots 4

1 Goalkeeper saves 5

7 Corners 6

2 Offside 1

9 Free kicks against 10

1 Yellow cards 3

0 Red cards 1

The table before the match Paderborn 4. · Preußen Münster 15. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	18	12	2	4	+12	+5.0	38
2	Darmstadt	19	10	7	2	+14	+6.8	37
3	Elversberg	18	10	4	4	+15	-3.7	34
4	Paderborn	18	10	3	5	+8	+7.3	33
5	Hannover	19	9	5	5	+7	+6.2	32
6	Kaiserslautern	18	9	3	6	+10	+1.3	30
7	Hertha	19	8	6	5	+5	-2.2	30
8	Karlsruhe	19	7	5	7	-6	-13.9	26
9	Nurnberg	19	7	4	8	-5	+0.3	25
10	Holstein Kiel	19	6	6	7	+0	-6.7	24
11	Bochum	18	6	4	8	+1	+4.4	22
12	Braunschweig	19	6	3	10	-12	+0.7	21
13	Bielefeld	19	5	5	9	+2	+0.1	20
14	Magdeburg	19	6	2	11	-6	+6.1	20
15	Preußen Münster	18	5	5	8	-6	-0.4	20
16	Fortuna Dusseldorf	19	6	2	11	-12	-4.8	20
17	Dresden	19	5	4	10	-7	+0.8	19
18	Greuther Furth	19	4	4	11	-20	-7.2	16

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	10	7	3	0	+12	+8.5	24
2	Kaiserslautern	10	7	1	2	+12	+4.3	22
3	Schalke 04	8	7	0	1	+6	+2.5	21
4	Elversberg	8	5	3	0	+10	-1.4	18
5	Nurnberg	10	5	3	2	+2	+0.4	18
6	Paderborn	9	5	1	3	+2	+3.1	16
7	Hannover	9	5	1	3	+2	+5.6	16
8	Karlsruhe	9	5	1	3	+0	-6.2	16
9	Hertha	10	4	3	3	-1	+0.3	15
10	Bielefeld	10	4	2	4	+7	+6.4	14
11	Bochum	9	4	2	3	+3	+6.6	14
12	Holstein Kiel	9	4	2	3	+3	-0.6	14
13	Preußen Münster	10	3	5	2	+1	+0.4	14
14	Fortuna Dusseldorf	10	3	2	5	-6	-1.5	11
15	Braunschweig	10	3	2	5	-8	+1.1	11
16	Greuther Furth	9	2	3	4	-9	-4.0	9
17	Dresden	9	2	2	5	-2	+4.6	8
18	Magdeburg	9	2	1	6	-5	+4.0	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	9	5	2	2	+6	+4.1	17
2	Schalke 04	10	5	2	3	+6	+2.5	17
3	Hannover	10	4	4	2	+5	+0.6	16
4	Elversberg	10	5	1	4	+5	-2.3	16
5	Hertha	9	4	3	2	+6	-2.5	15
6	Darmstadt	9	3	4	2	+2	-1.7	13
7	Magdeburg	10	4	1	5	-1	+2.1	13
8	Dresden	10	3	2	5	-5	-3.8	11
9	Holstein Kiel	10	2	4	4	-3	-6.1	10
10	Braunschweig	9	3	1	5	-4	-0.4	10
11	Karlsruhe	10	2	4	4	-6	-7.8	10
12	Fortuna Dusseldorf	9	3	0	6	-6	-3.2	9
13	Bochum	9	2	2	5	-2	-2.1	8
14	Kaiserslautern	8	2	2	4	-2	-3.0	8
15	Nurnberg	9	2	1	6	-7	-0.1	7
16	Greuther Furth	10	2	1	7	-11	-3.2	7
17	Bielefeld	9	1	3	5	-5	-6.3	6
18	Preußen Münster	8	2	0	6	-7	-0.9	6

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.