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Bundesliga

Referee: F Exner

Bochum

T U T T T

0–5

Full-time

Bayern Munich

U T U S 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 Bayern Munich

Last 6 — all competitions · 6/6 matches

Win Ø 17%

33%

Points per game

0,2

1,3

Over 2.5 Ø 75%

83%

67%

Both score Ø 67%

83%

50%

Average goals

3,8

Scored

1,2

2,3

Conceded

2,7

1,5

Goal diff per game

-1,5

+0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 7/7 matches

Win Ø 36%

71%

Points per game

0,1

2,4

Over 2.5 Ø 71%

71%

Both score Ø 64%

71%

57%

Average goals

3,4

4,4

Scored

1,0

3,4

Conceded

2,4

1,0

Goal diff per game

-1,4

+2,4

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: 0–2

0,56 xG 2,20

28% Possession 72%

6 Shots 17

2 Shots on target 9

1 Blocked shots 2

5 Goalkeeper saves 1

2 Corners 5

3 Offside 3

15 Free kicks against 6

1 Yellow cards 1

0 Red cards 0

The table before the match Bochum 18. · Bayern Munich 2. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	RB Leipzig	8	6	2	0	+11	+2.9	20
2	Bayern Munich	7	5	2	0	+17	+12.2	17
3	Leverkusen	8	4	3	1	+5	+7.1	15
4	Freiburg	8	5	0	3	+2	+4.4	15
5	Union Berlin	7	4	2	1	+4	+0.1	14
6	Ein Frankfurt	7	4	1	2	+4	+0.6	13
7	Dortmund	8	4	1	3	+1	+2.8	13
8	Stuttgart	8	3	3	2	+1	+3.4	12
9	Werder Bremen	8	3	3	2	-2	+0.2	12
10	M'gladbach	8	3	1	4	-2	-0.6	10
11	Augsburg	8	3	1	4	-7	-0.9	10
12	Heidenheim	7	3	0	4	+1	+0.1	9
13	Mainz	8	2	3	3	-1	-4.3	9
14	Wolfsburg	8	2	2	4	-1	-2.0	8
15	Hoffenheim	7	2	1	4	-4	-6.7	7
16	St Pauli	8	1	2	5	-6	-4.8	5
17	Holstein Kiel	8	0	2	6	-13	-6.5	2
18	Bochum	7	0	1	6	-10	-8.0	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Dortmund	4	4	0	0	+7	+5.6	12
2	RB Leipzig	4	3	1	0	+7	+3.0	10
3	Augsburg	5	3	1	1	+3	+3.7	10
4	Union Berlin	3	3	0	0	+3	+2.1	9
5	Freiburg	4	3	0	1	+2	+4.4	9
6	Stuttgart	4	2	2	0	+5	+6.6	8
7	Bayern Munich	3	2	1	0	+6	+4.8	7
8	Ein Frankfurt	3	2	1	0	+4	+1.4	7
9	Leverkusen	4	2	1	1	+1	+4.9	7
10	Hoffenheim	4	2	0	2	-1	-3.2	6
11	M'gladbach	4	2	0	2	-1	+0.0	6
12	Heidenheim	3	1	0	2	+0	+1.2	3
13	Mainz	5	0	2	3	-5	-1.1	2
14	St Pauli	4	0	2	2	-5	+0.2	2
15	Werder Bremen	4	0	2	2	-6	-3.0	2
16	Wolfsburg	4	0	1	3	-4	-2.0	1
17	Bochum	3	0	1	2	-4	-3.4	1
18	Holstein Kiel	4	0	0	4	-11	-3.8	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	4	3	1	0	+11	+7.4	10
2	Werder Bremen	4	3	1	0	+4	+3.2	10
3	RB Leipzig	4	3	1	0	+4	-0.1	10
4	Leverkusen	4	2	2	0	+4	+2.3	8
5	Mainz	3	2	1	0	+4	-3.2	7
6	Wolfsburg	4	2	1	1	+3	-0.0	7
7	Heidenheim	4	2	0	2	+1	-1.1	6
8	Ein Frankfurt	4	2	0	2	+0	-0.8	6
9	Freiburg	4	2	0	2	+0	+0.0	6
10	Union Berlin	4	1	2	1	+1	-2.0	5
11	M'gladbach	4	1	1	2	-1	-0.6	4
12	Stuttgart	4	1	1	2	-4	-3.2	4
13	St Pauli	4	1	0	3	-1	-5.0	3
14	Holstein Kiel	4	0	2	2	-2	-2.7	2
15	Hoffenheim	3	0	1	2	-3	-3.5	1
16	Dortmund	4	0	1	3	-6	-2.8	1
17	Bochum	4	0	0	4	-6	-4.5	0
18	Augsburg	3	0	0	3	-10	-4.6	0

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.