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Bundesliga

Referee: D Aytekin

Dortmund

S T T S U

4–0

Full-time

Ein Frankfurt

T U S T 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 Ein Frankfurt

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,3

0,8

Over 2.5 Ø 58%

83%

33%

Both score Ø 67%

83%

50%

Average goals

4,7

2,5

Scored

2,5

0,8

Conceded

2,2

1,7

Goal diff per game

+0,3

-0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 28/28 matches

Win Ø 52%

64%

39%

Points per game

2,0

1,5

Over 2.5 Ø 63%

68%

57%

Both score Ø 63%

57%

68%

Average goals

3,6

3,2

Scored

2,2

1,8

Conceded

1,4

1,5

Goal diff per game

+0,8

+0,3

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: 3–0

1,12 xG 0,57

54% Possession 46%

14 Shots 9

7 Shots on target 2

3 Blocked shots 4

2 Goalkeeper saves 3

5 Corners 2

1 Offside 3

10 Free kicks against 13

2 Yellow cards 3

0 Red cards 0

The table before the match Dortmund 2. · Ein Frankfurt 9. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	29	17	8	4	+46	+9.5	59
2	Dortmund	28	18	3	7	+23	+9.8	57
3	Union Berlin	28	15	7	6	+12	-4.3	52
4	RB Leipzig	28	15	6	7	+18	+7.6	51
5	Freiburg	28	14	8	6	+4	-6.0	50
6	Mainz	29	12	9	8	+9	+1.8	45
7	Leverkusen	28	13	5	10	+10	+10.0	44
8	Wolfsburg	29	11	10	8	+14	+7.2	43
9	Ein Frankfurt	28	11	9	8	+8	-0.2	42
10	M'gladbach	28	9	9	10	-2	-2.0	36
11	FC Koln	29	8	11	10	-7	+1.0	35
12	Werder Bremen	29	10	5	14	-9	-4.7	35
13	Augsburg	29	8	6	15	-16	-8.6	30
14	Hoffenheim	29	8	5	16	-11	-4.0	29
15	Bochum	29	8	3	18	-34	-6.5	27
16	Stuttgart	29	5	10	14	-15	-0.3	25
17	Schalke 04	28	5	9	14	-26	-2.6	24
18	Hertha	29	5	7	17	-24	-7.7	22

#	Team	K	V	U	T	+/−	xG +/−	P
1	Dortmund	13	11	1	1	+25	+7.0	34
2	Bayern Munich	14	9	5	0	+30	+9.9	32
3	RB Leipzig	14	10	2	2	+16	-0.8	32
4	Union Berlin	14	9	5	0	+16	-0.5	32
5	Freiburg	14	8	4	2	+10	-2.4	28
6	M'gladbach	14	8	3	3	+12	+3.8	27
7	Ein Frankfurt	14	7	4	3	+13	+5.4	25
8	Mainz	15	6	6	3	+10	+1.6	24
9	Leverkusen	14	7	2	5	+11	+5.7	23
10	FC Koln	14	5	5	4	+7	+3.2	20
11	Wolfsburg	14	4	7	3	+6	+5.4	19
12	Augsburg	15	5	4	6	-6	-2.7	19
13	Bochum	14	6	1	7	-8	-0.1	19
14	Hertha	15	4	5	6	-4	-2.1	17
15	Hoffenheim	15	5	2	8	-5	+1.8	17
16	Stuttgart	14	4	4	6	+0	+0.8	16
17	Werder Bremen	15	5	1	9	-1	+1.4	16
18	Schalke 04	15	4	4	7	-14	-2.2	16

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	15	8	3	4	+16	-0.4	27
2	Wolfsburg	15	7	3	5	+8	+1.8	24
3	Dortmund	15	7	2	6	-2	+2.7	23
4	Freiburg	14	6	4	4	-6	-3.6	22
5	Mainz	14	6	3	5	-1	+0.2	21
6	Leverkusen	14	6	3	5	-1	+4.3	21
7	Union Berlin	14	6	2	6	-4	-3.8	20
8	RB Leipzig	14	5	4	5	+2	+8.4	19
9	Werder Bremen	14	5	4	5	-8	-6.1	19
10	Ein Frankfurt	14	4	5	5	-5	-5.6	17
11	FC Koln	15	3	6	6	-14	-2.2	15
12	Hoffenheim	14	3	3	8	-6	-5.8	12
13	Augsburg	14	3	2	9	-10	-5.9	11
14	M'gladbach	14	1	6	7	-14	-5.8	9
15	Stuttgart	15	1	6	8	-15	-1.1	9
16	Schalke 04	13	1	5	7	-12	-0.4	8
17	Bochum	15	2	2	11	-26	-6.4	8
18	Hertha	14	1	2	11	-20	-5.6	5

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.