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2. Bundesliga

Referee: Florian Lechner

Bielefeld

S U T S T

3–0

Full-time

Cottbus

T T S T S

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ 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.

🔒 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

Bielefeld Cottbus

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,3

1,0

Over 2.5 Ø 67%

50%

83%

Both score Ø 75%

83%

67%

Average goals

3,5

4,0

Scored

2,0

1,2

Conceded

1,5

2,8

Goal diff per game

+0,5

-1,7

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 1/1 matches

Win Ø 50%

100%

Points per game

0,0

3,0

Over 2.5 Ø 100%

100%

Both score Ø 100%

100%

Average goals

3,0

4,0

Scored

1,0

3,0

Conceded

2,0

1,0

Goal diff per game

-1,0

+2,0

🔒 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

3,57 xG 0,56

40% Possession 60%

17 Shots 10

5 Shots on target 0

7 Blocked shots 7

0 Goalkeeper saves 2

7 Corners 10

4 Offside 1

12 Free kicks against 18

2 Yellow cards 2

0 Red cards 0

The table before the match Bielefeld 15. · Cottbus 5. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	2	2	0	0	+5	-1.0	6
2	Hertha	2	2	0	0	+4	+0.4	6
3	Karlsruhe	2	1	1	0	+1	-0.0	4
4	Braunschweig	2	1	0	1	+4	+2.5	3
5	Cottbus	1	1	0	0	+2	-1.7	3
6	Bochum	2	1	0	1	+0	+0.1	3
7	Heidenheim	2	1	0	1	-2	-0.1	3
8	Magdeburg	2	1	0	1	-2	-1.4	3
9	Holstein Kiel	2	0	2	0	+0	+0.2	2
10	St Pauli	2	0	2	0	+0	+0.4	2
11	Kaiserslautern	2	0	2	0	+0	-0.1	2
12	Darmstadt	1	0	1	0	+0	-0.7	1
13	Wolfsburg	1	0	1	0	+0	+0.4	1
14	Greuther Furth	2	0	1	1	-2	+1.3	1
15	Bielefeld	1	0	0	1	-1	-0.2	0
16	Hannover	1	0	0	1	-2	+1.7	0
17	Dresden	1	0	0	1	-3	-0.3	0
18	Osnabruck	2	0	0	2	-4	-1.4	0

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

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