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2. Bundesliga

Referee: A Aarnink

Bielefeld

T U S U T

4–2

Full-time

Holstein Kiel

S T S U 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 Holstein Kiel

Last 6 — all competitions · 6/6 matches

Win Ø 34%

17%

50%

Points per game

0,8

1,7

Over 2.5 Ø 50%

33%

67%

Both score Ø 59%

67%

50%

Average goals

2,5

3,5

Scored

1,2

1,7

Conceded

1,3

1,8

Goal diff per game

-0,2

This season — 2. Bundesliga · 8/8 matches

Win Ø 26%

13%

38%

Points per game

0,6

1,5

Over 2.5 Ø 63%

50%

75%

Both score Ø 63%

63%

Average goals

2,6

3,6

Scored

1,0

1,8

Conceded

1,6

1,9

Goal diff per game

-0,6

-0,1

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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

31% Possession 69%

12 Shots 32

7 Shots on target 8

1 Blocked shots 4

7 Goalkeeper saves 3

3 Corners 6

0 Offside 2

10 Free kicks against 7

3 Yellow cards 2

0 Red cards 0

The table before the match Bielefeld 17. · Holstein Kiel 8. ▾

#	Team	K	V	U	T	+/−	P
1	Paderborn	8	6	1	1	+16	19
2	Hamburg	8	6	0	2	+7	18
3	Hannover	9	5	2	2	+5	17
4	Heidenheim	8	4	3	1	+7	15
5	Darmstadt	8	4	3	1	+5	15
6	Fortuna Dusseldorf	8	4	2	2	+6	14
7	Kaiserslautern	8	3	4	1	+3	13
8	Holstein Kiel	8	3	3	2	-1	12
9	Karlsruhe	9	3	2	4	+1	11
10	St Pauli	8	2	4	2	+1	10
11	Nurnberg	8	3	1	4	-4	10
12	Hansa Rostock	8	3	0	5	-6	9
13	Sandhausen	9	2	2	5	-3	8
14	Braunschweig	9	2	2	5	-9	8
15	Regensburg	8	2	2	4	-9	8
16	Magdeburg	8	2	1	5	-8	7
17	Bielefeld	8	1	2	5	-5	5
18	Greuther Furth	8	0	4	4	-6	4

#	Team	K	V	U	T	+/−	P
1	Paderborn	5	5	0	0	+16	15
2	Fortuna Dusseldorf	4	3	1	0	+7	10
3	Darmstadt	4	2	2	0	+5	8
4	St Pauli	4	2	2	0	+4	8
5	Hannover	4	2	2	0	+2	8
6	Kaiserslautern	5	2	2	1	+1	8
7	Heidenheim	3	2	1	0	+4	7
8	Holstein Kiel	4	2	1	1	+3	7
9	Karlsruhe	4	2	1	1	+2	7
10	Braunschweig	5	2	1	2	+0	7
11	Sandhausen	5	2	1	2	+0	7
12	Hansa Rostock	4	2	0	2	+1	6
13	Hamburg	4	2	0	2	+0	6
14	Nurnberg	4	2	0	2	-2	6
15	Regensburg	4	1	2	1	-4	5
16	Greuther Furth	4	0	3	1	-2	3
17	Bielefeld	3	1	0	2	-2	3
18	Magdeburg	4	1	0	3	-5	3

#	Team	K	V	U	T	+/−	P
1	Hamburg	4	4	0	0	+7	12
2	Hannover	5	3	0	2	+3	9
3	Heidenheim	5	2	2	1	+3	8
4	Darmstadt	4	2	1	1	+0	7
5	Kaiserslautern	3	1	2	0	+2	5
6	Holstein Kiel	4	1	2	1	-4	5
7	Paderborn	3	1	1	1	+0	4
8	Karlsruhe	5	1	1	3	-1	4
9	Fortuna Dusseldorf	4	1	1	2	-1	4
10	Nurnberg	4	1	1	2	-2	4
11	Magdeburg	4	1	1	2	-3	4
12	Regensburg	4	1	0	3	-5	3
13	Hansa Rostock	4	1	0	3	-7	3
14	St Pauli	4	0	2	2	-3	2
15	Bielefeld	5	0	2	3	-3	2
16	Sandhausen	4	0	1	3	-3	1
17	Greuther Furth	4	0	1	3	-4	1
18	Braunschweig	4	0	1	3	-9	1

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.