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2. Bundesliga

Referee: J Wienefeld

Preußen Münster

S U T U U

2–1

Full-time

Nurnberg

T S T T U

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

Preußen Münster Nurnberg

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,5

0,7

Over 2.5 Ø 59%

50%

67%

Both score Ø 59%

50%

67%

Average goals

3,0

3,3

Scored

2,0

1,5

Conceded

1,0

1,8

Goal diff per game

+1,0

-0,3

This season — 2. Bundesliga · 2/2 matches

Win Ø 0%

Points per game

0,5

0,0

Over 2.5 Ø 25%

50%

Both score Ø 50%

100%

Average goals

3,5

1,0

Scored

1,5

0,0

Conceded

2,0

1,0

Goal diff per game

-0,5

-1,0

🔒 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: 2–0

49% Possession 51%

12 Shots 8

6 Shots on target 3

3 Blocked shots 0

2 Goalkeeper saves 3

1 Corners 7

1 Offside 4

20 Free kicks against 13

3 Yellow cards 6

0 Red cards 0

The table before the match Preußen Münster 13. · Nurnberg 16. ▾

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

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

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