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Bundesliga

Referee: D Aytekin

Wolfsburg

S T T T U

0–3

Full-time

RB Leipzig

S S S U 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

Wolfsburg RB Leipzig

Last 6 — all competitions · 6/6 matches

Win Ø 42%

33%

50%

Points per game

1,2

1,8

Over 2.5 Ø 75%

83%

67%

Both score Ø 67%

50%

83%

Average goals

3,8

3,2

Scored

2,5

2,2

Conceded

1,3

1,0

Goal diff per game

+1,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 20/20 matches

Win Ø 45%

40%

50%

Points per game

1,5

1,8

Over 2.5 Ø 65%

60%

70%

Both score Ø 55%

45%

65%

Average goals

3,2

3,3

Scored

1,9

2,0

Conceded

1,3

Goal diff per game

+0,6

+0,7

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: 0–1

0,29 xG 2,96

43% Possession 57%

7 Shots 17

2 Shots on target 5

2 Blocked shots 2

1 Goalkeeper saves 2

2 Corners 5

0 Offside 1

16 Free kicks against 15

1 Yellow cards 1

0 Red cards 0

The table before the match Wolfsburg 7. · RB Leipzig 5. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	20	12	7	1	+41	+2.7	43
2	Union Berlin	20	13	3	4	+11	+3.7	42
3	Dortmund	20	13	1	6	+14	+4.0	40
4	Freiburg	20	11	4	5	+1	-0.3	37
5	RB Leipzig	20	10	6	4	+14	+0.9	36
6	Ein Frankfurt	20	10	5	5	+11	-2.9	35
7	Wolfsburg	20	8	6	6	+12	+5.5	30
8	Leverkusen	20	8	3	9	+1	+3.2	27
9	Werder Bremen	20	8	3	9	-8	-4.7	27
10	M'gladbach	20	7	5	8	+2	-4.1	26
11	FC Koln	20	6	8	6	+1	+1.8	26
12	Mainz	20	7	5	8	-2	+0.9	26
13	Augsburg	21	7	3	11	-10	-0.5	24
14	Hoffenheim	21	5	4	12	-11	-3.9	19
15	Bochum	20	6	1	13	-25	-2.4	19
16	Hertha	20	4	5	11	-12	-3.0	17
17	Stuttgart	20	3	7	10	-13	-0.5	16
18	Schalke 04	20	2	6	12	-27	-0.5	12

#	Team	K	V	U	T	+/−	xG +/−	P
1	RB Leipzig	10	7	2	1	+14	-1.6	23
2	Union Berlin	9	7	2	0	+11	+1.7	23
3	Freiburg	10	7	2	1	+10	+3.1	23
4	Bayern Munich	10	6	4	0	+23	+4.9	22
5	Dortmund	9	7	1	1	+15	+2.7	22
6	Ein Frankfurt	10	6	1	3	+11	+0.6	19
7	M'gladbach	10	6	1	3	+9	-0.9	19
8	FC Koln	10	5	3	2	+11	+3.3	18
9	Bochum	9	5	1	3	+0	+2.4	16
10	Wolfsburg	9	4	3	2	+9	+4.1	15
11	Leverkusen	10	4	2	4	+6	+1.8	14
12	Augsburg	11	4	2	5	-5	+1.8	14
13	Mainz	10	3	4	3	+3	+1.1	13
14	Werder Bremen	11	4	1	6	-1	-0.9	13
15	Hertha	11	3	4	4	-3	-1.1	13
16	Stuttgart	10	3	3	4	-1	+1.3	12
17	Hoffenheim	11	3	2	6	-6	+0.7	11
18	Schalke 04	11	2	3	6	-15	-1.1	9

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	10	6	3	1	+18	-2.2	21
2	Union Berlin	11	6	1	4	+0	+2.0	19
3	Dortmund	11	6	0	5	-1	+1.3	18
4	Ein Frankfurt	10	4	4	2	+0	-3.5	16
5	Wolfsburg	11	4	3	4	+3	+1.4	15
6	Werder Bremen	9	4	2	3	-7	-3.8	14
7	Freiburg	10	4	2	4	-9	-3.5	14
8	RB Leipzig	10	3	4	3	+0	+2.5	13
9	Leverkusen	10	4	1	5	-5	+1.4	13
10	Mainz	10	4	1	5	-5	-0.2	13
11	Augsburg	10	3	1	6	-5	-2.3	10
12	Hoffenheim	10	2	2	6	-5	-4.6	8
13	FC Koln	10	1	5	4	-10	-1.5	8
14	M'gladbach	10	1	4	5	-7	-3.2	7
15	Hertha	9	1	1	7	-9	-1.9	4
16	Stuttgart	10	0	4	6	-12	-1.8	4
17	Schalke 04	9	0	3	6	-12	+0.6	3
18	Bochum	11	1	0	10	-25	-4.8	3

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.