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Bundesliga

Referee: H Osmers

Heidenheim

S U T T S

1–3

Full-time

Wolfsburg

S T 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

Heidenheim Wolfsburg

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,2

1,5

Over 2.5 Ø 42%

33%

50%

Both score Ø 50%

33%

67%

Average goals

2,0

2,8

Scored

1,0

1,5

Conceded

1,0

1,3

Goal diff per game

+0,0

+0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 9/9 matches

Win Ø 28%

33%

22%

Points per game

1,1

1,0

Over 2.5 Ø 56%

44%

67%

Both score Ø 50%

22%

78%

Average goals

2,7

3,7

Scored

1,3

1,8

Conceded

1,3

1,9

Goal diff per game

+0,0

-0,1

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

2,42 xG 1,52

65% Possession 35%

19 Shots 13

4 Shots on target 6

8 Blocked shots 4

3 Goalkeeper saves 3

5 Corners 5

4 Offside 0

9 Free kicks against 23

1 Yellow cards 6

0 Red cards 0

The table before the match Heidenheim 13. · Wolfsburg 14. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	10	8	2	0	+26	+16.6	26
2	RB Leipzig	10	6	3	1	+10	+0.5	21
3	Ein Frankfurt	10	6	2	2	+10	+1.4	20
4	Leverkusen	10	4	5	1	+5	+9.6	17
5	Freiburg	10	5	2	3	+2	+5.6	17
6	Union Berlin	10	4	4	2	+1	-3.2	16
7	Dortmund	10	5	1	4	+0	+3.4	16
8	Werder Bremen	10	4	3	3	-4	+0.3	15
9	M'gladbach	10	4	2	4	+1	+1.0	14
10	Mainz	10	3	4	3	+1	-3.4	13
11	Stuttgart	10	3	4	3	+0	+2.7	13
12	Augsburg	10	3	3	4	-7	-1.2	12
13	Heidenheim	9	3	1	5	+0	+1.1	10
14	Wolfsburg	9	2	3	4	-1	-1.2	9
15	Hoffenheim	10	2	3	5	-6	-8.2	9
16	St Pauli	10	2	2	6	-5	-5.3	8
17	Holstein Kiel	10	1	2	7	-13	-7.8	5
18	Bochum	10	0	2	8	-20	-11.9	2

#	Team	K	V	U	T	+/−	xG +/−	P
1	Dortmund	5	5	0	0	+8	+7.4	15
2	RB Leipzig	5	3	2	0	+7	+2.4	11
3	Augsburg	6	3	2	1	+3	+4.2	11
4	Union Berlin	5	3	2	0	+3	+0.8	11
5	Ein Frankfurt	4	3	1	0	+9	+3.1	10
6	Bayern Munich	4	3	1	0	+9	+6.8	10
7	Freiburg	5	3	1	1	+2	+4.6	10
8	M'gladbach	5	3	0	2	+2	+1.1	9
9	Stuttgart	5	2	2	1	+4	+7.8	8
10	Leverkusen	5	2	2	1	+1	+6.8	8
11	Hoffenheim	5	2	0	3	-3	-3.4	6
12	Mainz	6	1	2	3	-3	+0.0	5
13	Werder Bremen	5	1	2	2	-5	-1.9	5
14	Heidenheim	4	1	1	2	+0	+2.1	4
15	Holstein Kiel	5	1	0	4	-10	-4.0	3
16	Wolfsburg	5	0	2	3	-4	-1.2	2
17	St Pauli	5	0	2	3	-6	-0.6	2
18	Bochum	5	0	2	3	-9	-5.6	2

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	6	5	1	0	+17	+9.8	16
2	RB Leipzig	5	3	1	1	+3	-1.9	10
3	Werder Bremen	5	3	1	1	+1	+2.2	10
4	Ein Frankfurt	6	3	1	2	+1	-1.7	10
5	Leverkusen	5	2	3	0	+4	+2.8	9
6	Mainz	4	2	2	0	+4	-3.4	8
7	Wolfsburg	4	2	1	1	+3	-0.0	7
8	Freiburg	5	2	1	2	+0	+1.0	7
9	St Pauli	5	2	0	3	+1	-4.8	6
10	Heidenheim	5	2	0	3	+0	-1.0	6
11	M'gladbach	5	1	2	2	-1	-0.0	5
12	Union Berlin	5	1	2	2	-2	-4.0	5
13	Stuttgart	5	1	2	2	-4	-5.1	5
14	Hoffenheim	5	0	3	2	-3	-4.9	3
15	Holstein Kiel	5	0	2	3	-3	-3.8	2
16	Dortmund	5	0	1	4	-8	-4.0	1
17	Augsburg	4	0	1	3	-10	-5.4	1
18	Bochum	5	0	0	5	-11	-6.3	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.