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Bundesliga

Referee: M Jöllenbeck

M'gladbach

S S T T T

3–0

Full-time

Bochum

U S T 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

M'gladbach Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,2

1,3

Over 2.5 Ø 42%

67%

17%

Both score Ø 58%

83%

33%

Average goals

3,5

2,3

Scored

1,5

1,2

Conceded

2,0

1,2

Goal diff per game

-0,5

+0,0

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 18/18 matches

Win Ø 25%

39%

11%

Points per game

1,3

0,6

Over 2.5 Ø 50%

56%

44%

Both score Ø 59%

67%

50%

Average goals

3,1

3,2

Scored

1,5

0,9

Conceded

1,6

2,2

Goal diff per game

-0,1

-1,3

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: 1–0

2,26 xG 0,55

57% Possession 43%

16 Shots 10

6 Shots on target 4

4 Blocked shots 3

4 Goalkeeper saves 3

8 Corners 7

6 Free kicks against 15

1 Yellow cards 3

0 Red cards 0

The table before the match M'gladbach 12. · Bochum 18. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	19	15	3	1	+42	+34.6	48
2	Leverkusen	19	12	6	1	+20	+17.3	42
3	Ein Frankfurt	18	11	3	4	+18	+8.3	36
4	Stuttgart	19	9	5	5	+8	+10.7	32
5	RB Leipzig	19	9	5	5	+5	-6.4	32
6	Mainz	19	9	4	6	+10	-0.1	31
7	Wolfsburg	19	8	4	7	+8	-2.0	28
8	Werder Bremen	19	7	6	6	-3	+0.4	27
9	Freiburg	19	8	3	8	-10	-2.1	27
10	Dortmund	19	7	5	7	+1	+2.3	26
11	Augsburg	19	7	4	8	-11	-6.7	25
12	M'gladbach	18	7	3	8	-2	-6.0	24
13	Union Berlin	18	5	5	8	-8	-4.4	20
14	St Pauli	18	5	2	11	-7	-4.9	17
15	Hoffenheim	18	4	5	9	-12	-9.6	17
16	Heidenheim	19	4	2	13	-16	-5.5	14
17	Holstein Kiel	19	3	3	13	-20	-11.6	12
18	Bochum	18	2	4	12	-23	-14.2	10

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	9	8	1	0	+24	+20.0	25
2	Leverkusen	10	7	2	1	+12	+12.1	23
3	Dortmund	10	6	3	1	+11	+6.0	21
4	Ein Frankfurt	9	6	2	1	+13	+9.8	20
5	Stuttgart	10	6	2	2	+11	+12.9	20
6	Freiburg	9	6	1	2	+5	+3.5	19
7	RB Leipzig	9	5	3	1	+6	+1.0	18
8	Mainz	10	5	2	3	+4	+3.8	17
9	Augsburg	10	5	2	3	+2	+3.3	17
10	M'gladbach	9	5	1	3	+6	+0.8	16
11	Union Berlin	9	4	3	2	+1	+1.9	15
12	Wolfsburg	10	3	3	4	+0	+0.9	12
13	Hoffenheim	9	3	1	5	-4	-0.0	10
14	Werder Bremen	9	2	4	3	-4	-0.8	10
15	Bochum	9	2	3	4	-7	-2.5	9
16	Holstein Kiel	10	3	0	7	-11	-5.3	9
17	Heidenheim	9	2	1	6	-8	-1.3	7
18	St Pauli	8	1	2	5	-7	-0.1	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	10	7	2	1	+18	+14.6	23
2	Leverkusen	9	5	4	0	+8	+5.2	19
3	Werder Bremen	10	5	2	3	+1	+1.3	17
4	Wolfsburg	9	5	1	3	+8	-2.9	16
5	Ein Frankfurt	9	5	1	3	+5	-1.5	16
6	Mainz	9	4	2	3	+6	-3.9	14
7	RB Leipzig	10	4	2	4	-1	-7.4	14
8	St Pauli	10	4	0	6	+0	-4.9	12
9	Stuttgart	9	3	3	3	-3	-2.2	12
10	M'gladbach	9	2	2	5	-8	-6.8	8
11	Augsburg	9	2	2	5	-13	-10.0	8
12	Freiburg	10	2	2	6	-15	-5.6	8
13	Heidenheim	10	2	1	7	-8	-4.2	7
14	Hoffenheim	9	1	4	4	-8	-9.6	7
15	Union Berlin	9	1	2	6	-9	-6.3	5
16	Dortmund	9	1	2	6	-10	-3.7	5
17	Holstein Kiel	9	0	3	6	-9	-6.4	3
18	Bochum	9	0	1	8	-16	-11.7	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.