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2. Bundesliga

Holstein Kiel

T T S T S

2–1

Full-time

Bochum

U U U S U

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

Holstein Kiel Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,2

Over 2.5 Ø 75%

67%

83%

Both score Ø 75%

50%

100%

Average goals

2,5

4,0

Scored

1,2

2,0

Conceded

1,3

2,0

Goal diff per game

-0,2

+0,0

This season — 2. Bundesliga · 10/10 matches

Win Ø 20%

30%

10%

Points per game

1,1

0,9

Over 2.5 Ø 70%

60%

80%

Both score Ø 75%

60%

90%

Average goals

2,5

4,1

Scored

1,1

1,9

Conceded

1,4

2,2

Goal diff per game

-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: 1–1

15 Shots 11

5 Shots on target 3

7 Corners 2

8 Free kicks against 21

4 Yellow cards 5

0 Red cards 0

The table before the match Holstein Kiel 14. · Bochum 16. ▾

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

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

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

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.