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Bundesliga

Referee: Felix Zwayer

Leverkusen

S U S U S

0–1

Full-time

Dortmund

T S S U S

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

Leverkusen Dortmund

Last 6 — all competitions · 6/6 matches

Win Ø 67%

67%

Points per game

2,3

2,2

Over 2.5 Ø 50%

50%

Both score Ø 42%

33%

50%

Average goals

2,3

2,5

Scored

2,0

1,8

Conceded

0,3

0,7

Goal diff per game

+1,7

+1,2

This season — Bundesliga · 21/21 matches

Win Ø 60%

48%

71%

Points per game

1,7

2,3

Over 2.5 Ø 67%

57%

76%

Both score Ø 58%

48%

67%

Average goals

2,5

3,7

Scored

1,5

2,5

Conceded

1,0

1,1

Goal diff per game

+0,4

+1,4

🔒 Goal markets Pro

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

51% Possession 49%

9 Shots 7

2 Shots on target 2

5 Blocked shots 2

1 Goalkeeper saves 2

8 Corners 1

2 Offside 2

0 Free kicks against 0

5 Yellow cards 1

0 Red cards 0

The table before the match Leverkusen 4. · Dortmund 2. ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	22	19	2	1	+45	59
2	Dortmund	21	15	3	3	+29	48
3	Hertha	22	10	6	6	+6	36
4	Leverkusen	21	10	5	6	+9	35
5	M'gladbach	22	11	2	9	+5	35
6	Schalke 04	21	10	3	8	+2	33
7	Mainz	22	10	3	9	+1	33
8	Wolfsburg	22	8	7	7	+3	31
9	FC Koln	22	7	8	7	-4	29
10	FC Ingolstadt 04	22	8	5	9	-7	29
11	Hamburg	22	7	6	9	-5	27
12	Stuttgart	21	8	3	10	-8	27
13	Darmstadt	22	6	6	10	-11	24
14	Ein Frankfurt	22	5	7	10	-10	22
15	Augsburg	21	5	6	10	-8	21
16	Werder Bremen	22	5	5	12	-19	20
17	Hoffenheim	22	3	9	10	-11	18
18	Hannover	21	4	2	15	-17	14

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	11	11	0	0	+33	33
2	Dortmund	10	9	1	0	+23	28
3	M'gladbach	12	8	1	3	+9	25
4	Wolfsburg	11	7	3	1	+16	24
5	Hertha	11	6	4	1	+7	22
6	Schalke 04	11	6	2	3	+3	20
7	Mainz	11	6	1	4	+2	19
8	Leverkusen	10	5	3	2	+9	18
9	FC Ingolstadt 04	11	5	2	4	+1	17
10	FC Koln	11	4	4	3	+1	16
11	Stuttgart	11	5	1	5	-4	16
12	Ein Frankfurt	11	3	4	4	-3	13
13	Hamburg	11	3	3	5	-2	12
14	Hoffenheim	11	2	5	4	-4	11
15	Augsburg	11	2	3	6	-6	9
16	Darmstadt	11	1	4	6	-11	7
17	Hannover	10	2	0	8	-6	6
18	Werder Bremen	10	1	3	6	-11	6

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	11	8	2	1	+12	26
2	Dortmund	11	6	2	3	+6	20
3	Darmstadt	11	5	2	4	+0	17
4	Leverkusen	11	5	2	4	+0	17
5	Hamburg	11	4	3	4	-3	15
6	Hertha	11	4	2	5	-1	14
7	Mainz	11	4	2	5	-1	14
8	Werder Bremen	12	4	2	6	-8	14
9	Schalke 04	10	4	1	5	-1	13
10	FC Koln	11	3	4	4	-5	13
11	Augsburg	10	3	3	4	-2	12
12	FC Ingolstadt 04	11	3	3	5	-8	12
13	Stuttgart	10	3	2	5	-4	11
14	M'gladbach	10	3	1	6	-4	10
15	Ein Frankfurt	11	2	3	6	-7	9
16	Hannover	11	2	2	7	-11	8
17	Hoffenheim	11	1	4	6	-7	7
18	Wolfsburg	11	1	4	6	-13	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.