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2. Bundesliga

Referee: F Wagner

Nurnberg

S U T T S

3–0

Full-time

Kaiserslautern

S S T 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

Nurnberg Kaiserslautern

Last 6 — all competitions · 6/6 matches

Win Ø 42%

33%

50%

Points per game

1,2

1,5

Over 2.5 Ø 75%

67%

83%

Both score Ø 67%

83%

50%

Average goals

3,3

3,5

Scored

1,8

1,7

Conceded

1,5

1,8

Goal diff per game

+0,3

-0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 26/26 matches

Win Ø 41%

35%

46%

Points per game

1,3

1,5

Over 2.5 Ø 62%

58%

65%

Both score Ø 64%

65%

62%

Average goals

2,7

3,2

Scored

1,3

1,7

Conceded

1,4

1,5

Goal diff per game

-0,1

+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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The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–0

2,88 xG 0,52

48% Possession 52%

21 Shots 6

5 Shots on target 2

4 Blocked shots 1

2 Goalkeeper saves 2

11 Corners 1

1 Offside 2

10 Free kicks against 14

1 Yellow cards 3

0 Red cards 0

The table before the match Nurnberg 10. · Kaiserslautern 7. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	26	15	6	5	+14	+9.9	51
2	Darmstadt	26	13	10	3	+19	+7.7	49
3	Hannover	27	14	7	6	+12	+13.4	49
4	Elversberg	26	14	6	6	+16	+2.9	48
5	Paderborn	26	14	6	6	+13	+11.7	48
6	Hertha	26	11	8	7	+6	-4.0	41
7	Kaiserslautern	26	12	4	10	+7	-0.0	40
8	Karlsruhe	27	10	7	10	-8	-16.5	37
9	Bochum	26	8	9	9	+3	+5.6	33
10	Nurnberg	26	9	6	11	-3	-2.3	33
11	Fortuna Dusseldorf	26	9	4	13	-11	-1.9	31
12	Dresden	26	7	8	11	+0	+0.7	29
13	Braunschweig	27	8	5	14	-15	-0.3	29
14	Greuther Furth	27	8	5	14	-19	-10.9	29
15	Bielefeld	26	7	7	12	+2	+1.9	28
16	Preußen Münster	26	6	8	12	-14	-12.2	26
17	Holstein Kiel	26	6	7	13	-9	-12.0	25
18	Magdeburg	26	7	3	16	-13	+6.3	24

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	13	10	3	0	+19	+9.9	33
2	Schalke 04	13	9	3	1	+9	+4.7	30
3	Kaiserslautern	14	9	1	4	+13	+2.3	28
4	Paderborn	13	8	2	3	+7	+9.4	26
5	Elversberg	12	7	4	1	+10	+1.8	25
6	Karlsruhe	13	7	3	3	+4	-4.2	24
7	Hannover	13	7	2	4	+4	+9.4	23
8	Bochum	13	6	4	3	+6	+9.8	22
9	Nurnberg	13	6	4	3	+5	+0.2	22
10	Hertha	14	5	5	4	-1	-1.1	20
11	Bielefeld	13	5	3	5	+7	+10.2	18
12	Fortuna Dusseldorf	13	5	3	5	-4	-0.4	18
13	Braunschweig	14	5	3	6	-7	+4.0	18
14	Greuther Furth	13	4	4	5	-7	-5.3	16
15	Dresden	13	4	3	6	+5	+6.0	15
16	Holstein Kiel	13	4	3	6	+0	-0.7	15
17	Preußen Münster	13	3	6	4	-1	-3.3	15
18	Magdeburg	13	2	2	9	-10	+6.2	8

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	14	7	5	2	+8	+4.0	26
2	Elversberg	14	7	2	5	+6	+1.2	23
3	Paderborn	13	6	4	3	+6	+2.3	22
4	Hertha	12	6	3	3	+7	-3.0	21
5	Schalke 04	13	6	3	4	+5	+5.2	21
6	Darmstadt	13	3	7	3	+0	-2.2	16
7	Magdeburg	13	5	1	7	-3	+0.1	16
8	Dresden	13	3	5	5	-5	-5.3	14
9	Fortuna Dusseldorf	13	4	1	8	-7	-1.6	13
10	Greuther Furth	14	4	1	9	-12	-5.6	13
11	Karlsruhe	14	3	4	7	-12	-12.3	13
12	Kaiserslautern	12	3	3	6	-6	-2.4	12
13	Bochum	13	2	5	6	-3	-4.2	11
14	Nurnberg	13	3	2	8	-8	-2.5	11
15	Braunschweig	13	3	2	8	-8	-4.3	11
16	Preußen Münster	13	3	2	8	-13	-9.0	11
17	Bielefeld	13	2	4	7	-5	-8.2	10
18	Holstein Kiel	13	2	4	7	-9	-11.3	10

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.