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2. Bundesliga

Bielefeld

S S S S U

1–1

Full-time

Osnabruck

T U U T T

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

Bielefeld Osnabruck

Last 6 — all competitions · 6/6 matches

Win Ø 34%

67%

Points per game

2,3

0,5

Over 2.5 Ø 42%

33%

50%

Both score Ø 50%

33%

67%

Average goals

2,7

3,2

Scored

2,2

1,0

Conceded

0,5

2,2

Goal diff per game

+1,7

-1,2

This season — 2. Bundesliga · 25/25 matches

Win Ø 42%

56%

28%

Points per game

2,0

1,2

Over 2.5 Ø 48%

48%

Both score Ø 52%

56%

48%

Average goals

3,0

2,7

Scored

2,0

1,3

Conceded

1,0

1,4

Goal diff per game

+1,0

-0,1

🔒 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: 1–0

6 Shots 10

3 Shots on target 4

0 Corners 6

9 Free kicks against 6

3 Yellow cards 0

0 Red cards 0

The table before the match Bielefeld 1. · Osnabruck 13. ▾

#	Team	K	V	U	T	+/−	P
1	Bielefeld	25	14	9	2	+26	51
2	Stuttgart	25	13	6	6	+13	45
3	Hamburg	25	12	8	5	+20	44
4	Heidenheim	26	11	8	7	+5	41
5	Erzgebirge Aue	26	10	7	9	+2	37
6	Greuther Furth	25	10	6	9	+4	36
7	Darmstadt	26	8	12	6	-2	36
8	Holstein Kiel	26	9	8	9	+0	35
9	Regensburg	26	9	6	11	-6	33
10	Hannover	25	8	8	9	-3	32
11	Bochum	26	7	10	9	-2	31
12	St Pauli	25	7	9	9	+1	30
13	Osnabruck	25	7	8	10	-3	29
14	Sandhausen	26	6	11	9	-5	29
15	Nurnberg	25	7	8	10	-11	29
16	Karlsruhe	26	6	9	11	-11	27
17	Wehen	25	6	7	12	-12	25
18	Dresden	25	6	6	13	-16	24

#	Team	K	V	U	T	+/−	P
1	Stuttgart	13	10	1	2	+18	31
2	Erzgebirge Aue	13	9	3	1	+15	30
3	Hamburg	12	9	1	2	+18	28
4	Heidenheim	13	7	4	2	+11	25
5	Bielefeld	12	6	5	1	+12	23
6	St Pauli	13	6	4	3	+8	22
7	Greuther Furth	12	7	1	4	+4	22
8	Regensburg	13	6	3	4	+2	21
9	Darmstadt	13	4	8	1	+4	20
10	Bochum	14	4	7	3	+4	19
11	Osnabruck	13	5	3	5	+2	18
12	Sandhausen	13	4	6	3	+0	18
13	Dresden	13	5	2	6	-2	17
14	Karlsruhe	13	4	4	5	-2	16
15	Holstein Kiel	12	3	5	4	-2	14
16	Nurnberg	13	3	5	5	-9	14
17	Hannover	12	2	7	3	-4	13
18	Wehen	12	2	4	6	-13	10

#	Team	K	V	U	T	+/−	P
1	Bielefeld	13	8	4	1	+14	28
2	Holstein Kiel	14	6	3	5	+2	21
3	Hannover	13	6	1	6	+1	19
4	Hamburg	13	3	7	3	+2	16
5	Darmstadt	13	4	4	5	-6	16
6	Heidenheim	13	4	4	5	-6	16
7	Wehen	13	4	3	6	+1	15
8	Nurnberg	12	4	3	5	-2	15
9	Greuther Furth	13	3	5	5	+0	14
10	Stuttgart	12	3	5	4	-5	14
11	Bochum	12	3	3	6	-6	12
12	Regensburg	13	3	3	7	-8	12
13	Sandhausen	13	2	5	6	-5	11
14	Osnabruck	12	2	5	5	-5	11
15	Karlsruhe	13	2	5	6	-9	11
16	St Pauli	12	1	5	6	-7	8
17	Erzgebirge Aue	13	1	4	8	-13	7
18	Dresden	12	1	4	7	-14	7

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.