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Bundesliga

Referee: D Siebert

Dortmund

S T T S S

1–1

Full-time

Leverkusen

S 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 Leverkusen

Last 6 — all competitions · 6/6 matches

Win Ø 75%

67%

83%

Points per game

2,0

2,7

Over 2.5 Ø 59%

67%

50%

Both score Ø 50%

67%

33%

Average goals

3,2

2,8

Scored

2,0

2,5

Conceded

1,2

0,3

Goal diff per game

+0,8

+2,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 29/29 matches

Win Ø 71%

55%

86%

Points per game

1,9

2,7

Over 2.5 Ø 66%

59%

72%

Both score Ø 55%

62%

48%

Average goals

3,1

3,2

Scored

2,0

2,6

Conceded

1,2

0,7

Goal diff per game

+0,8

+1,9

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

0,49 xG 1,14

48% Possession 52%

9 Shots 13

2 Shots on target 5

4 Blocked shots 0

2 Goalkeeper saves 1

2 Corners 6

0 Offside 4

14 Free kicks against 11

4 Yellow cards 3

0 Red cards 0

The table before the match Dortmund 5. · Leverkusen 1. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Leverkusen	29	25	4	0	+55	+37.7	79
2	Bayern Munich	30	21	3	6	+50	+52.1	66
3	Stuttgart	30	20	3	7	+32	+31.9	63
4	RB Leipzig	30	18	5	7	+35	+26.1	59
5	Dortmund	29	16	8	5	+23	+11.2	56
6	Ein Frankfurt	30	11	12	7	+6	-3.1	45
7	Augsburg	30	10	9	11	-1	-5.7	39
8	Hoffenheim	30	11	6	13	-7	-8.6	39
9	Freiburg	29	11	6	12	-11	-2.5	39
10	Heidenheim	30	8	10	12	-9	-21.9	34
11	Werder Bremen	30	9	7	14	-12	-12.0	34
12	M'gladbach	30	7	10	13	-7	-6.8	31
13	Wolfsburg	30	8	7	15	-15	-3.6	31
14	Union Berlin	30	8	5	17	-24	-10.6	29
15	Bochum	30	5	12	13	-26	-18.2	27
16	Mainz	29	5	11	13	-17	-1.4	26
17	FC Koln	30	4	10	16	-30	-30.2	22
18	Darmstadt	30	3	8	19	-42	-34.2	17

#	Team	K	V	U	T	+/−	xG +/−	P
1	Leverkusen	15	13	2	0	+35	+27.1	41
2	Bayern Munich	15	12	1	2	+38	+32.8	37
3	Stuttgart	15	11	3	1	+29	+24.7	36
4	RB Leipzig	15	10	3	2	+25	+19.9	33
5	Ein Frankfurt	15	7	7	1	+12	+6.7	28
6	Dortmund	14	8	2	4	+7	+11.5	26
7	Augsburg	15	6	6	3	+4	+0.1	24
8	Heidenheim	15	6	4	5	+1	-6.1	22
9	Werder Bremen	15	6	3	6	+0	-1.0	21
10	Bochum	15	4	8	3	+1	+2.3	20
11	Freiburg	14	5	5	4	-1	+6.1	20
12	Union Berlin	15	6	2	7	-8	-4.0	20
13	Mainz	15	5	4	6	+2	+10.4	19
14	M'gladbach	15	5	4	6	+1	+5.5	19
15	Wolfsburg	15	5	4	6	-1	-0.9	19
16	Hoffenheim	15	5	4	6	-2	+3.4	19
17	FC Koln	15	3	3	9	-14	-11.3	12
18	Darmstadt	15	1	3	11	-22	-10.5	6

#	Team	K	V	U	T	+/−	xG +/−	P
1	Leverkusen	14	12	2	0	+20	+10.6	38
2	Dortmund	15	8	6	1	+16	-0.3	30
3	Bayern Munich	15	9	2	4	+12	+19.3	29
4	Stuttgart	15	9	0	6	+3	+7.2	27
5	RB Leipzig	15	8	2	5	+10	+6.2	26
6	Hoffenheim	15	6	2	7	-5	-12.0	20
7	Freiburg	15	6	1	8	-10	-8.6	19
8	Ein Frankfurt	15	4	5	6	-6	-9.8	17
9	Augsburg	15	4	3	8	-5	-5.8	15
10	Werder Bremen	15	3	4	8	-12	-10.9	13
11	M'gladbach	15	2	6	7	-8	-12.3	12
12	Heidenheim	15	2	6	7	-10	-15.8	12
13	Wolfsburg	15	3	3	9	-14	-2.7	12
14	Darmstadt	15	2	5	8	-20	-23.7	11
15	FC Koln	15	1	7	7	-16	-18.9	10
16	Union Berlin	15	2	3	10	-16	-6.6	9
17	Mainz	14	0	7	7	-19	-11.8	7
18	Bochum	15	1	4	10	-27	-20.6	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.