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Bundesliga

Referee: T Gerach

Leverkusen

U S S S S

2–0

Full-time

Bochum

T T S S S

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

Leverkusen Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 67%

67%

Points per game

2,2

2,0

Over 2.5 Ø 67%

50%

83%

Both score Ø 42%

33%

50%

Average goals

2,8

3,0

Scored

2,0

1,3

Conceded

0,8

1,7

Goal diff per game

+1,2

-0,3

This season — Bundesliga · 16/16 matches

Win Ø 35%

38%

31%

Points per game

1,3

1,0

Over 2.5 Ø 75%

75%

Both score Ø 50%

50%

Average goals

3,5

3,4

Scored

1,8

1,1

Conceded

1,8

2,3

Goal diff per game

+0,0

-1,3

🔒 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: 1–0

1,67 xG 0,89

57% Possession 43%

11 Shots 9

4 Shots on target 2

1 Blocked shots 5

1 Goalkeeper saves 2

3 Corners 4

3 Offside 6

15 Free kicks against 14

2 Yellow cards 4

0 Red cards 0

The table before the match Leverkusen 9. · Bochum 15. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	17	10	6	1	+36	+0.6	36
2	RB Leipzig	17	9	5	3	+14	+2.1	32
3	Dortmund	17	10	1	6	+6	+1.6	31
4	Ein Frankfurt	16	9	3	4	+11	-0.7	30
5	Union Berlin	16	9	3	4	+6	+1.9	30
6	Freiburg	16	9	3	4	+2	-2.0	30
7	Wolfsburg	17	8	5	4	+15	+4.9	29
8	M'gladbach	16	6	4	6	+3	-1.0	22
9	Leverkusen	16	6	3	7	+0	+1.0	21
10	FC Koln	17	5	6	6	-2	+2.3	21
11	Werder Bremen	16	6	3	7	-8	-2.9	21
12	Mainz	17	5	5	7	-6	-0.8	20
13	Hoffenheim	17	5	4	8	-2	-0.7	19
14	Stuttgart	17	3	7	7	-9	-0.8	16
15	Bochum	16	5	1	10	-20	+0.6	16
16	Augsburg	16	4	3	9	-9	-1.2	15
17	Hertha	17	3	5	9	-10	-3.5	14
18	Schalke 04	17	2	3	12	-27	-1.3	9

#	Team	K	V	U	T	+/−	xG +/−	P
1	RB Leipzig	8	6	2	0	+14	+0.1	20
2	Union Berlin	8	6	2	0	+10	+1.9	20
3	Dortmund	8	6	1	1	+11	+1.2	19
4	Bayern Munich	8	5	3	0	+20	+0.6	18
5	M'gladbach	9	6	0	3	+9	-1.0	18
6	Ein Frankfurt	9	5	1	3	+8	-0.7	16
7	Freiburg	7	5	1	1	+7	–	16
8	Wolfsburg	8	4	3	1	+11	+2.0	15
9	FC Koln	8	4	2	2	+8	+2.9	14
10	Bochum	8	4	1	3	-3	+0.6	13
11	Stuttgart	9	3	3	3	+1	+0.4	12
12	Leverkusen	8	3	2	3	+6	–	11
13	Hoffenheim	9	3	2	4	-1	+1.2	11
14	Werder Bremen	8	3	1	4	+1	–	10
15	Hertha	9	2	4	3	-4	-3.0	10
16	Mainz	8	1	4	3	-2	-0.4	7
17	Schalke 04	9	2	1	6	-15	-2.0	7
18	Augsburg	8	1	2	5	-8	–	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	9	5	3	1	+16	-0.1	18
2	Wolfsburg	9	4	2	3	+4	+3.0	14
3	Ein Frankfurt	7	4	2	1	+3	–	14
4	Freiburg	9	4	2	3	-5	-2.0	14
5	Mainz	9	4	1	4	-4	-0.4	13
6	RB Leipzig	9	3	3	3	+0	+2.0	12
7	Dortmund	9	4	0	5	-5	+0.4	12
8	Werder Bremen	8	3	2	3	-9	-2.9	11
9	Augsburg	8	3	1	4	-1	-1.2	10
10	Union Berlin	8	3	1	4	-4	–	10
11	Leverkusen	8	3	1	4	-6	+1.0	10
12	Hoffenheim	8	2	2	4	-1	-1.9	8
13	FC Koln	9	1	4	4	-10	-0.6	7
14	M'gladbach	7	0	4	3	-6	–	4
15	Hertha	8	1	1	6	-6	-0.6	4
16	Stuttgart	8	0	4	4	-10	-1.2	4
17	Bochum	8	1	0	7	-17	–	3
18	Schalke 04	8	0	2	6	-12	+0.7	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.