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Bundesliga

Referee: M Jöllenbeck

Dortmund

S S S S S

0–1

Full-time

Stuttgart

U S S 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

Dortmund Stuttgart

Last 6 — all competitions · 6/6 matches

Win Ø 75%

83%

67%

Points per game

2,5

2,3

Over 2.5 Ø 59%

50%

67%

Both score Ø 59%

50%

67%

Average goals

3,0

3,5

Scored

2,2

2,3

Conceded

0,8

1,2

Goal diff per game

+1,3

+1,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 27/27 matches

Win Ø 62%

56%

67%

Points per game

2,0

2,1

Over 2.5 Ø 67%

59%

74%

Both score Ø 61%

63%

59%

Average goals

3,2

3,6

Scored

2,0

2,3

Conceded

1,2

1,3

Goal diff per game

+0,9

+1,1

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: 0–0

2,48 xG 1,56

51% Possession 49%

14 Shots 10

7 Shots on target 2

1 Blocked shots 2

1 Goalkeeper saves 7

8 Corners 3

2 Offside 2

8 Free kicks against 8

2 Yellow cards 4

0 Red cards 0

The table before the match Dortmund 5. · Stuttgart 3. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Leverkusen	28	24	4	0	+50	+35.1	76
2	Bayern Munich	28	19	3	6	+44	+50.5	60
3	Stuttgart	27	18	3	6	+29	+31.3	57
4	RB Leipzig	28	16	5	7	+31	+24.4	53
5	Dortmund	27	15	8	4	+23	+10.1	53
6	Ein Frankfurt	28	10	12	6	+7	-3.9	42
7	Augsburg	27	9	9	9	+1	-3.6	36
8	Freiburg	28	10	6	12	-12	-2.4	36
9	Hoffenheim	27	9	6	12	-7	-9.3	33
10	Heidenheim	28	8	9	11	-8	-20.9	33
11	Werder Bremen	28	8	7	13	-8	-8.5	31
12	Union Berlin	28	8	5	15	-18	-10.4	29
13	M'gladbach	27	6	10	11	-7	-4.9	28
14	Wolfsburg	27	7	7	13	-11	-2.5	28
15	Bochum	28	5	11	12	-25	-18.8	26
16	Mainz	28	4	11	13	-20	-3.0	23
17	FC Koln	28	4	10	14	-26	-28.1	22
18	Darmstadt	28	2	8	18	-43	-35.2	14

#	Team	K	V	U	T	+/−	xG +/−	P
1	Leverkusen	14	12	2	0	+30	+24.5	38
2	Bayern Munich	14	11	1	2	+36	+31.4	34
3	Stuttgart	14	10	3	1	+26	+24.1	33
4	RB Leipzig	14	9	3	2	+22	+19.0	30
5	Dortmund	13	8	2	3	+8	+10.6	26
6	Ein Frankfurt	14	6	7	1	+10	+5.3	25
7	Heidenheim	14	6	4	4	+2	-5.3	22
8	Augsburg	14	5	6	3	+2	+0.1	21
9	Freiburg	14	5	5	4	-1	+6.1	20
10	Union Berlin	14	6	2	6	-4	-3.8	20
11	M'gladbach	14	5	4	5	+2	+5.7	19
12	Bochum	14	4	7	3	+1	+2.2	19
13	Werder Bremen	14	5	3	6	-1	-0.1	18
14	Wolfsburg	13	4	4	5	+0	-0.6	16
15	Mainz	14	4	4	6	-1	+8.8	16
16	Hoffenheim	13	3	4	6	-5	+1.2	13
17	FC Koln	14	3	3	8	-12	-10.5	12
18	Darmstadt	14	1	3	10	-21	-10.7	6

#	Team	K	V	U	T	+/−	xG +/−	P
1	Leverkusen	14	12	2	0	+20	+10.6	38
2	Dortmund	14	7	6	1	+15	-0.5	27
3	Bayern Munich	14	8	2	4	+8	+19.1	26
4	Stuttgart	13	8	0	5	+3	+7.2	24
5	RB Leipzig	14	7	2	5	+9	+5.4	23
6	Hoffenheim	14	6	2	6	-2	-10.4	20
7	Ein Frankfurt	14	4	5	5	-3	-9.2	17
8	Freiburg	14	5	1	8	-11	-8.4	16
9	Augsburg	13	4	3	6	-1	-3.6	15
10	Werder Bremen	14	3	4	7	-7	-8.3	13
11	Wolfsburg	14	3	3	8	-11	-1.9	12
12	Heidenheim	14	2	5	7	-10	-15.6	11
13	FC Koln	14	1	7	6	-14	-17.6	10
14	M'gladbach	13	1	6	6	-9	-10.6	9
15	Union Berlin	14	2	3	9	-14	-6.6	9
16	Darmstadt	14	1	5	8	-22	-24.5	8
17	Mainz	14	0	7	7	-19	-11.8	7
18	Bochum	14	1	4	9	-26	-21.0	7

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.