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2. Bundesliga

Referee: E Weisbach

Preußen Münster

U S U T U

0–2

Full-time

Karlsruhe

T T T 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

Preußen Münster Karlsruhe

Last 6 — all competitions · 6/6 matches

Win Ø 9%

17%

Points per game

1,0

0,2

Over 2.5 Ø 67%

33%

100%

Both score Ø 50%

50%

Average goals

1,8

4,2

Scored

0,8

1,0

Conceded

1,0

3,2

Goal diff per game

-0,2

-2,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 17/17 matches

Win Ø 32%

29%

35%

Points per game

1,2

1,3

Over 2.5 Ø 71%

65%

76%

Both score Ø 65%

76%

53%

Average goals

2,8

3,4

Scored

1,3

1,5

Conceded

1,5

1,9

Goal diff per game

-0,2

-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: 0–0

1,53 xG 1,26

64% Possession 36%

16 Shots 14

7 Shots on target 2

4 Blocked shots 8

0 Goalkeeper saves 7

7 Corners 9

1 Offside 3

11 Free kicks against 11

0 Yellow cards 3

1 Red cards 0

The table before the match Preußen Münster 12. · Karlsruhe 9. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	17	12	1	4	+12	+5.0	37
2	Elversberg	17	10	4	3	+16	-2.8	34
3	Darmstadt	17	9	6	2	+12	+7.0	33
4	Paderborn	17	10	3	4	+10	+7.3	33
5	Hannover	17	8	5	4	+8	+4.9	29
6	Hertha	17	8	4	5	+5	-1.9	28
7	Kaiserslautern	17	8	3	6	+8	+1.3	27
8	Nurnberg	17	6	4	7	-4	-0.9	22
9	Karlsruhe	17	6	4	7	-8	-13.9	22
10	Bochum	17	6	3	8	+1	+4.4	21
11	Holstein Kiel	17	5	5	7	-2	-6.3	20
12	Preußen Münster	17	5	5	7	-4	-0.7	20
13	Magdeburg	18	6	2	10	-5	+6.1	20
14	Fortuna Dusseldorf	18	6	2	10	-11	-3.5	20
15	Braunschweig	18	6	2	10	-12	-1.0	20
16	Bielefeld	18	5	4	9	+2	-0.4	19
17	Greuther Furth	17	4	3	10	-18	-4.1	15
18	Dresden	17	3	4	10	-10	-0.5	13

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	9	6	3	0	+10	+8.7	21
2	Schalke 04	8	7	0	1	+6	+2.5	21
3	Kaiserslautern	9	6	1	2	+10	+4.3	19
4	Elversberg	8	5	3	0	+10	-1.4	18
5	Paderborn	9	5	1	3	+2	+3.1	16
6	Nurnberg	9	4	3	2	+1	-0.5	15
7	Karlsruhe	8	5	0	3	+0	-6.4	15
8	Preußen Münster	9	3	5	1	+3	+0.2	14
9	Hertha	9	4	2	3	-1	+0.3	14
10	Bielefeld	9	4	1	4	+7	+6.0	13
11	Bochum	8	4	1	3	+3	+6.6	13
12	Hannover	8	4	1	3	+1	+4.3	13
13	Holstein Kiel	8	3	2	3	+1	-0.6	11
14	Fortuna Dusseldorf	10	3	2	5	-6	-1.5	11
15	Braunschweig	10	3	2	5	-8	+1.1	11
16	Greuther Furth	8	2	2	4	-9	-2.2	8
17	Magdeburg	8	2	1	5	-4	+4.0	7
18	Dresden	8	1	2	5	-4	+3.3	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	8	5	2	1	+8	+4.1	17
2	Hannover	9	4	4	1	+7	+0.6	16
3	Elversberg	9	5	1	3	+6	-1.5	16
4	Schalke 04	9	5	1	3	+6	+2.5	16
5	Hertha	8	4	2	2	+6	-2.3	14
6	Magdeburg	10	4	1	5	-1	+2.1	13
7	Darmstadt	8	3	3	2	+2	-1.7	12
8	Holstein Kiel	9	2	3	4	-3	-5.6	9
9	Braunschweig	8	3	0	5	-4	-2.2	9
10	Fortuna Dusseldorf	8	3	0	5	-5	-2.0	9
11	Bochum	9	2	2	5	-2	-2.1	8
12	Kaiserslautern	8	2	2	4	-2	-3.0	8
13	Dresden	9	2	2	5	-6	-3.8	8
14	Nurnberg	8	2	1	5	-5	-0.4	7
15	Karlsruhe	9	1	4	4	-8	-7.5	7
16	Greuther Furth	9	2	1	6	-9	-1.9	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.