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2. Bundesliga

Referee: Tobias Stieler

Holstein Kiel

T U U S T

2–2

Full-time

Nurnberg

U S S U S

🔒 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

Holstein Kiel Nurnberg

Last 6 — all competitions · 6/6 matches

Win Ø 42%

17%

67%

Points per game

0,8

2,3

Over 2.5 Ø 75%

67%

83%

Both score Ø 67%

67%

Average goals

3,2

4,2

Scored

1,3

3,0

Conceded

1,8

1,2

Goal diff per game

-0,5

+1,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 3/3 matches

Win Ø 50%

100%

Points per game

0,7

3,0

Over 2.5 Ø 84%

67%

100%

Both score Ø 67%

67%

Average goals

3,3

4,7

Scored

1,3

3,7

Conceded

2,0

1,0

Goal diff per game

-0,7

+2,7

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: 1–1

0,68 xG 1,84

44% Possession 56%

14 Shots 19

3 Shots on target 7

7 Blocked shots 3

4 Goalkeeper saves 1

10 Corners 8

1 Offside 1

17 Free kicks against 14

4 Yellow cards 3

0 Red cards 0

The table before the match Holstein Kiel 17. · Nurnberg 1. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	3	3	0	0	+8	-1.2	9
2	Hertha	3	3	0	0	+6	+1.4	9
3	Wolfsburg	3	2	1	0	+4	+2.2	7
4	Heidenheim	3	2	0	1	+0	+1.6	6
5	Magdeburg	3	2	0	1	+0	-2.7	6
6	Kaiserslautern	3	1	2	0	+1	-0.7	5
7	Karlsruhe	4	1	2	1	-2	-1.5	5
8	Bielefeld	4	1	1	2	-1	+3.0	4
9	Greuther Furth	3	1	1	1	-1	+0.3	4
10	Hannover	4	1	1	2	-2	+2.7	4
11	Braunschweig	3	1	0	2	+2	+1.5	3
12	St Pauli	4	0	3	1	-1	+1.0	3
13	Bochum	3	1	0	2	-1	+1.0	3
14	Cottbus	3	1	0	2	-2	-3.7	3
15	Osnabruck	3	1	0	2	-3	-2.3	3
16	Dresden	3	1	0	2	-4	-1.7	3
17	Holstein Kiel	3	0	2	1	-2	+1.5	2
18	Darmstadt	3	0	1	2	-2	-2.3	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	2	2	0	0	+6	+0.0	6
2	Heidenheim	2	2	0	0	+3	+2.4	6
3	Bielefeld	2	1	1	0	+3	+3.0	4
4	Hertha	1	1	0	0	+3	+0.8	3
5	Cottbus	2	1	0	1	+1	-0.6	3
6	Dresden	1	1	0	0	+1	+0.3	3
7	Karlsruhe	2	1	0	1	-2	-1.2	3
8	Magdeburg	2	1	0	1	-3	-3.5	3
9	Holstein Kiel	1	0	1	0	+0	-0.5	1
10	Wolfsburg	1	0	1	0	+0	+0.4	1
11	Kaiserslautern	1	0	1	0	+0	+0.3	1
12	Darmstadt	2	0	1	1	-1	-2.1	1
13	St Pauli	2	0	1	1	-1	+0.6	1
14	Hannover	2	0	1	1	-1	-0.4	1
15	Greuther Furth	1	0	0	1	-2	+1.3	0
16	Bochum	2	0	0	2	-2	+1.2	0
17	Braunschweig	2	0	0	2	-3	-0.7	0
18	Osnabruck	1	0	0	1	-3	-0.8	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Wolfsburg	2	2	0	0	+4	+1.9	6
2	Hertha	2	2	0	0	+3	+0.6	6
3	Greuther Furth	2	1	1	0	+1	-1.0	4
4	Kaiserslautern	2	1	1	0	+1	-1.0	4
5	Braunschweig	1	1	0	0	+5	+2.2	3
6	Magdeburg	1	1	0	0	+3	+0.8	3
7	Nurnberg	1	1	0	0	+2	-1.3	3
8	Bochum	1	1	0	0	+1	-0.3	3
9	Osnabruck	2	1	0	1	+0	-1.5	3
10	Hannover	2	1	0	1	-1	+3.1	3
11	St Pauli	2	0	2	0	+0	+0.5	2
12	Karlsruhe	2	0	2	0	+0	-0.3	2
13	Holstein Kiel	2	0	1	1	-2	+1.9	1
14	Darmstadt	1	0	0	1	-1	-0.3	0
15	Heidenheim	1	0	0	1	-3	-0.8	0
16	Cottbus	1	0	0	1	-3	-3.0	0
17	Bielefeld	2	0	0	2	-4	+0.0	0
18	Dresden	2	0	0	2	-5	-2.0	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.