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2. Bundesliga

Referee: Lukas Benen

Wolfsburg

T U S U S

4–4

Full-time

Cottbus

T S T T T

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.

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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

Wolfsburg Cottbus

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,5

1,0

Over 2.5 Ø 59%

50%

67%

Both score Ø 50%

50%

Average goals

2,8

3,7

Scored

1,7

1,3

Conceded

1,2

2,3

Goal diff per game

+0,5

-1,0

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 3/3 matches

Win Ø 50%

67%

33%

Points per game

2,3

1,0

Over 2.5 Ø 67%

33%

100%

Both score Ø 50%

33%

67%

Average goals

2,7

4,7

Scored

2,0

Conceded

0,7

2,7

Goal diff per game

+1,3

-0,7

xG created Pro

xG conceded Pro

xG diff Pro

🔒 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: 3–1

3,82 xG 3,05

51% Possession 49%

19 Shots 21

7 Shots on target 9

4 Blocked shots 4

5 Goalkeeper saves 3

4 Corners 8

0 Offside 3

13 Free kicks against 12

3 Yellow cards 4

1 Red cards 0

The table before the match Wolfsburg 3. · Cottbus 14. ▾

#	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.