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2. Bundesliga

Referee: Patrick Schwengers

Kaiserslautern

S S T S S

4–1

Full-time

Preußen Münster

U U S S T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Kaiserslautern Preußen Münster

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,0

1,3

Over 2.5 Ø 67%

67%

Both score Ø 58%

33%

83%

Average goals

3,2

2,7

Scored

2,5

1,3

Conceded

0,7

1,3

Goal diff per game

+1,8

+0,0

This season — 2. Bundesliga · 5/5 matches

Win Ø 50%

60%

40%

Points per game

1,8

1,4

Over 2.5 Ø 70%

60%

80%

Both score Ø 70%

40%

100%

Average goals

2,4

3,2

Scored

1,6

Conceded

0,8

1,6

Goal diff per game

+0,8

+0,0

🔒 Goal markets Pro

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: 3–0

36% Possession 64%

15 Shots 14

6 Shots on target 6

6 Blocked shots 3

4 Goalkeeper saves 2

4 Corners 0

1 Offside 1

19 Free kicks against 12

3 Yellow cards 4

0 Red cards 0

The table before the match Kaiserslautern 6. · Preußen Münster 9. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	5	4	0	1	+3	+2.5	12
2	Karlsruhe	5	3	2	0	+4	+0.3	11
3	Bielefeld	5	3	1	1	+7	+1.7	10
4	Darmstadt	5	3	1	1	+3	+0.9	10
5	Elversberg	5	3	1	1	+2	-2.9	10
6	Kaiserslautern	5	3	0	2	+4	-0.2	9
7	Schalke 04	5	3	0	2	+1	+0.8	9
8	Paderborn	5	2	2	1	+1	+2.8	8
9	Preußen Münster	5	2	1	2	+0	-2.5	7
10	Braunschweig	5	2	1	2	-1	-1.1	7
11	Fortuna Dusseldorf	5	2	1	2	-4	-3.5	7
12	Holstein Kiel	5	2	0	3	-1	+0.1	6
13	Greuther Furth	5	2	0	3	-4	-0.2	6
14	Hertha	5	1	2	2	+0	-1.9	5
15	Dresden	5	1	1	3	-2	+1.8	4
16	Bochum	5	1	0	4	-4	+1.8	3
17	Magdeburg	5	1	0	4	-5	-0.5	3
18	Nurnberg	5	0	1	4	-4	+0.1	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Karlsruhe	3	3	0	0	+4	+0.1	9
2	Darmstadt	3	2	1	0	+4	+0.6	7
3	Elversberg	3	2	1	0	+2	-0.4	7
4	Bielefeld	3	2	0	1	+5	+2.2	6
5	Kaiserslautern	2	2	0	0	+3	+1.0	6
6	Paderborn	3	2	0	1	+1	+0.4	6
7	Schalke 04	3	2	0	1	+1	+1.7	6
8	Hannover	3	2	0	1	+0	+1.2	6
9	Braunschweig	2	1	1	0	+1	+0.3	4
10	Preußen Münster	3	1	1	1	+0	-2.4	4
11	Bochum	2	1	0	1	+1	+2.4	3
12	Greuther Furth	3	1	0	2	-4	+0.1	3
13	Nurnberg	2	0	1	1	-1	-0.4	1
14	Hertha	2	0	1	1	-2	-0.2	1
15	Fortuna Dusseldorf	2	0	1	1	-2	-1.3	1
16	Magdeburg	2	0	0	2	-2	+1.3	0
17	Dresden	2	0	0	2	-2	+1.8	0
18	Holstein Kiel	2	0	0	2	-3	+0.5	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	2	2	0	0	+3	+1.3	6
2	Holstein Kiel	3	2	0	1	+2	-0.4	6
3	Fortuna Dusseldorf	3	2	0	1	-2	-2.2	6
4	Hertha	3	1	1	1	+2	-1.7	4
5	Bielefeld	2	1	1	0	+2	-0.5	4
6	Dresden	3	1	1	1	+0	-0.1	4
7	Kaiserslautern	3	1	0	2	+1	-1.2	3
8	Greuther Furth	2	1	0	1	+0	-0.3	3
9	Preußen Münster	2	1	0	1	+0	-0.1	3
10	Elversberg	2	1	0	1	+0	-2.4	3
11	Schalke 04	2	1	0	1	+0	-1.0	3
12	Darmstadt	2	1	0	1	-1	+0.4	3
13	Braunschweig	3	1	0	2	-2	-1.3	3
14	Magdeburg	3	1	0	2	-3	-1.8	3
15	Paderborn	2	0	2	0	+0	+2.4	2
16	Karlsruhe	2	0	2	0	+0	+0.2	2
17	Nurnberg	3	0	0	3	-3	+0.4	0
18	Bochum	3	0	0	3	-5	-0.6	0

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.