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2. Bundesliga

Referee: Patrick Schwengers

Nurnberg

S U S S U

4–1

Full-time

Bielefeld

T S T S 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

Nurnberg Bielefeld

Last 6 — all competitions · 6/6 matches

Win Ø 42%

50%

33%

Points per game

2,0

1,3

Over 2.5 Ø 67%

67%

Both score Ø 67%

67%

Average goals

3,7

3,5

Scored

2,5

2,2

Conceded

1,2

1,3

Goal diff per game

+1,3

+0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 2/2 matches

Win Ø 75%

100%

50%

Points per game

3,0

1,5

Over 2.5 Ø 100%

100%

Both score Ø 50%

50%

Average goals

4,5

3,0

Scored

3,5

2,0

Conceded

1,0

Goal diff per game

+2,5

+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: 3–0

0,94 xG 1,19

53% Possession 47%

13 Shots 21

6 Shots on target 5

5 Blocked shots 7

4 Goalkeeper saves 2

3 Corners 8

1 Offside 0

9 Free kicks against 11

2 Yellow cards 0

0 Red cards 0

The table before the match Nurnberg 3. · Bielefeld 8. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hertha	3	3	0	0	+6	+1.4	9
2	Wolfsburg	3	2	1	0	+4	+2.2	7
3	Nurnberg	2	2	0	0	+5	-1.0	6
4	Heidenheim	3	2	0	1	+0	+1.6	6
5	Greuther Furth	3	1	1	1	-1	+0.3	4
6	Karlsruhe	3	1	1	1	-2	-1.5	4
7	Braunschweig	3	1	0	2	+2	+1.5	3
8	Bielefeld	2	1	0	1	+2	+2.8	3
9	Bochum	3	1	0	2	-1	+1.0	3
10	Cottbus	3	1	0	2	-2	-3.7	3
11	Magdeburg	2	1	0	1	-2	-1.4	3
12	Osnabruck	3	1	0	2	-3	-2.3	3
13	Dresden	3	1	0	2	-4	-1.7	3
14	Holstein Kiel	2	0	2	0	+0	+0.2	2
15	St Pauli	2	0	2	0	+0	+0.4	2
16	Kaiserslautern	2	0	2	0	+0	-0.1	2
17	Darmstadt	2	0	1	1	-1	-0.9	1
18	Hannover	2	0	0	2	-3	+1.3	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Heidenheim	2	2	0	0	+3	+2.4	6
2	Hertha	1	1	0	0	+3	+0.8	3
3	Bielefeld	1	1	0	0	+3	+3.0	3
4	Nurnberg	1	1	0	0	+3	+0.3	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	Darmstadt	1	0	1	0	+0	-0.7	1
9	Holstein Kiel	1	0	1	0	+0	-0.5	1
10	St Pauli	1	0	1	0	+0	-0.1	1
11	Wolfsburg	1	0	1	0	+0	+0.4	1
12	Kaiserslautern	1	0	1	0	+0	+0.3	1
13	Hannover	1	0	0	1	-1	-0.4	0
14	Greuther Furth	1	0	0	1	-2	+1.3	0
15	Bochum	2	0	0	2	-2	+1.2	0
16	Braunschweig	2	0	0	2	-3	-0.7	0
17	Osnabruck	1	0	0	1	-3	-0.8	0
18	Magdeburg	1	0	0	1	-5	-2.2	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	Braunschweig	1	1	0	0	+5	+2.2	3
5	Magdeburg	1	1	0	0	+3	+0.8	3
6	Nurnberg	1	1	0	0	+2	-1.3	3
7	Bochum	1	1	0	0	+1	-0.3	3
8	Osnabruck	2	1	0	1	+0	-1.5	3
9	Holstein Kiel	1	0	1	0	+0	+0.7	1
10	St Pauli	1	0	1	0	+0	+0.5	1
11	Kaiserslautern	1	0	1	0	+0	-0.4	1
12	Karlsruhe	1	0	1	0	+0	-0.3	1
13	Bielefeld	1	0	0	1	-1	-0.2	0
14	Darmstadt	1	0	0	1	-1	-0.3	0
15	Hannover	1	0	0	1	-2	+1.7	0
16	Heidenheim	1	0	0	1	-3	-0.8	0
17	Cottbus	1	0	0	1	-3	-3.0	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.