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2. Bundesliga

Referee: P Alt

Bochum

U U T S U

2–3

Full-time

Holstein Kiel

T T 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

Bochum Holstein Kiel

Last 6 — all competitions · 6/6 matches

Win Ø 9%

17%

Points per game

1,2

0,2

Over 2.5 Ø 50%

33%

67%

Both score Ø 83%

83%

Average goals

2,3

3,3

Scored

1,2

1,0

Conceded

1,2

2,3

Goal diff per game

+0,0

-1,3

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 26/26 matches

Win Ø 27%

31%

23%

Points per game

1,3

1,0

Over 2.5 Ø 48%

46%

50%

Both score Ø 64%

62%

65%

Average goals

2,7

Scored

1,4

1,2

Conceded

1,3

1,5

Goal diff per game

+0,1

-0,3

xG created Pro

xG conceded Pro

xG diff Pro

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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: 1–2

0,96 xG 1,93

47% Possession 53%

20 Shots 10

10 Shots on target 4

5 Blocked shots 2

1 Goalkeeper saves 8

2 Corners 3

2 Offside 1

11 Free kicks against 22

4 Yellow cards 5

1 Red cards 1

The table before the match Bochum 10. · Holstein Kiel 17. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	27	15	7	5	+14	+10.9	52
2	Elversberg	27	15	6	6	+18	+5.8	51
3	Paderborn	27	15	6	6	+14	+12.9	51
4	Darmstadt	27	13	11	3	+19	+6.7	50
5	Hannover	27	14	7	6	+12	+13.4	49
6	Hertha	26	11	8	7	+6	-4.0	41
7	Kaiserslautern	27	12	4	11	+4	-2.4	40
8	Karlsruhe	27	10	7	10	-8	-16.5	37
9	Nurnberg	27	10	6	11	+0	+0.0	36
10	Bochum	26	8	9	9	+3	+5.6	33
11	Fortuna Dusseldorf	26	9	4	13	-11	-1.9	31
12	Dresden	27	7	8	12	-1	-0.5	29
13	Braunschweig	27	8	5	14	-15	-0.3	29
14	Greuther Furth	27	8	5	14	-19	-10.9	29
15	Bielefeld	27	7	7	13	+0	-0.9	28
16	Preußen Münster	26	6	8	12	-14	-12.2	26
17	Holstein Kiel	26	6	7	13	-9	-12.0	25
18	Magdeburg	26	7	3	16	-13	+6.3	24

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	14	10	4	0	+19	+8.9	34
2	Schalke 04	13	9	3	1	+9	+4.7	30
3	Paderborn	14	9	2	3	+8	+10.6	29
4	Kaiserslautern	14	9	1	4	+13	+2.3	28
5	Elversberg	13	8	4	1	+12	+4.7	28
6	Nurnberg	14	7	4	3	+8	+2.5	25
7	Karlsruhe	13	7	3	3	+4	-4.2	24
8	Hannover	13	7	2	4	+4	+9.4	23
9	Bochum	13	6	4	3	+6	+9.8	22
10	Hertha	14	5	5	4	-1	-1.1	20
11	Bielefeld	13	5	3	5	+7	+10.2	18
12	Fortuna Dusseldorf	13	5	3	5	-4	-0.4	18
13	Braunschweig	14	5	3	6	-7	+4.0	18
14	Greuther Furth	13	4	4	5	-7	-5.3	16
15	Dresden	13	4	3	6	+5	+6.0	15
16	Holstein Kiel	13	4	3	6	+0	-0.7	15
17	Preußen Münster	13	3	6	4	-1	-3.3	15
18	Magdeburg	13	2	2	9	-10	+6.2	8

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	14	7	5	2	+8	+4.0	26
2	Elversberg	14	7	2	5	+6	+1.2	23
3	Paderborn	13	6	4	3	+6	+2.3	22
4	Schalke 04	14	6	4	4	+5	+6.2	22
5	Hertha	12	6	3	3	+7	-3.0	21
6	Darmstadt	13	3	7	3	+0	-2.2	16
7	Magdeburg	13	5	1	7	-3	+0.1	16
8	Dresden	14	3	5	6	-6	-6.5	14
9	Fortuna Dusseldorf	13	4	1	8	-7	-1.6	13
10	Greuther Furth	14	4	1	9	-12	-5.6	13
11	Karlsruhe	14	3	4	7	-12	-12.3	13
12	Kaiserslautern	13	3	3	7	-9	-4.7	12
13	Bochum	13	2	5	6	-3	-4.2	11
14	Nurnberg	13	3	2	8	-8	-2.5	11
15	Braunschweig	13	3	2	8	-8	-4.3	11
16	Preußen Münster	13	3	2	8	-13	-9.0	11
17	Bielefeld	14	2	4	8	-7	-11.1	10
18	Holstein Kiel	13	2	4	7	-9	-11.3	10

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.