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2. Bundesliga

Bielefeld

U U S S

2–2

Full-time

Greuther Furth

T S S U

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 Greuther Furth

Last 6 — all competitions · 4/4 matches

Win Ø 50%

50%

Points per game

2,0

1,8

Over 2.5 Ø 50%

75%

25%

Both score Ø 75%

100%

50%

Average goals

4,0

2,3

Scored

2,5

1,3

Conceded

1,5

1,0

Goal diff per game

+1,0

+0,3

This season — 2. Bundesliga · 4/4 matches

Win Ø 50%

50%

Points per game

2,0

1,8

Over 2.5 Ø 50%

75%

25%

Both score Ø 75%

100%

50%

Average goals

4,0

2,3

Scored

2,5

1,3

Conceded

1,5

1,0

Goal diff per game

+1,0

+0,3

🔒 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: 1–2

19 Shots 13

6 Shots on target 5

10 Corners 3

13 Free kicks against 13

0 Yellow cards 3

0 Red cards 0

The table before the match Bielefeld 3. · Greuther Furth 6. ▾

#	Team	K	V	U	T	+/−	P
1	Hamburg	4	3	1	0	+7	10
2	Sandhausen	5	3	1	1	+3	10
3	Bielefeld	4	2	2	0	+4	8
4	Stuttgart	4	2	2	0	+2	8
5	Erzgebirge Aue	4	2	1	1	+1	7
6	Greuther Furth	4	2	1	1	+1	7
7	Nurnberg	5	2	1	2	-3	7
8	Osnabruck	4	2	0	2	+2	6
9	Karlsruhe	4	2	0	2	+0	6
10	Hannover	4	1	2	1	+2	5
11	Heidenheim	5	1	2	2	-1	5
12	Darmstadt	5	1	2	2	-3	5
13	Regensburg	4	1	1	2	-1	4
14	St Pauli	4	1	1	2	-2	4
15	Dresden	4	1	1	2	-2	4
16	Holstein Kiel	4	1	1	2	-2	4
17	Bochum	4	0	2	2	-3	2
18	Wehen	4	0	1	3	-5	1

#	Team	K	V	U	T	+/−	P
1	Stuttgart	2	2	0	0	+2	6
2	Sandhausen	3	2	0	1	+1	6
3	Bielefeld	2	1	1	0	+2	4
4	Darmstadt	2	1	1	0	+2	4
5	Holstein Kiel	2	1	1	0	+1	4
6	Erzgebirge Aue	2	1	1	0	+1	4
7	Hamburg	2	1	1	0	+1	4
8	Nurnberg	3	1	1	1	-3	4
9	Osnabruck	2	1	0	1	+2	3
10	Karlsruhe	2	1	0	1	+0	3
11	Regensburg	2	1	0	1	+0	3
12	Dresden	2	1	0	1	+0	3
13	St Pauli	2	1	0	1	-1	3
14	Greuther Furth	2	1	0	1	-1	3
15	Bochum	2	0	2	0	+0	2
16	Hannover	2	0	2	0	+0	2
17	Heidenheim	2	0	1	1	-2	1
18	Wehen	2	0	0	2	-4	0

#	Team	K	V	U	T	+/−	P
1	Hamburg	2	2	0	0	+6	6
2	Bielefeld	2	1	1	0	+2	4
3	Greuther Furth	2	1	1	0	+2	4
4	Sandhausen	2	1	1	0	+2	4
5	Heidenheim	3	1	1	1	+1	4
6	Hannover	2	1	0	1	+2	3
7	Nurnberg	2	1	0	1	+0	3
8	Erzgebirge Aue	2	1	0	1	+0	3
9	Karlsruhe	2	1	0	1	+0	3
10	Osnabruck	2	1	0	1	+0	3
11	Stuttgart	2	0	2	0	+0	2
12	Wehen	2	0	1	1	-1	1
13	St Pauli	2	0	1	1	-1	1
14	Regensburg	2	0	1	1	-1	1
15	Dresden	2	0	1	1	-2	1
16	Darmstadt	3	0	1	2	-5	1
17	Bochum	2	0	0	2	-3	0
18	Holstein Kiel	2	0	0	2	-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.