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Bundesliga

Referee: D Siebert

Dortmund

S S S T U

6–1

Full-time

FC Koln

S T T 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

Dortmund FC Koln

Last 6 — all competitions · 6/6 matches

Win Ø 42%

67%

17%

Points per game

2,2

0,8

Over 2.5 Ø 42%

50%

33%

Both score Ø 25%

50%

Average goals

2,7

1,7

Scored

1,7

0,5

Conceded

1,0

1,2

Goal diff per game

+0,7

-0,7

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 24/24 matches

Win Ø 46%

67%

25%

Points per game

2,1

1,1

Over 2.5 Ø 55%

63%

46%

Both score Ø 50%

50%

Average goals

3,3

2,9

Scored

2,0

1,3

Conceded

1,3

1,6

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: 4–1

3,26 xG 1,59

64% Possession 36%

11 Shots 11

8 Shots on target 5

0 Blocked shots 3

4 Goalkeeper saves 2

1 Corners 6

7 Free kicks against 10

1 Yellow cards 0

0 Red cards 0

The table before the match Dortmund 2. · FC Koln 13. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	24	15	7	2	+46	+5.9	52
2	Dortmund	24	16	2	6	+19	+6.1	50
3	RB Leipzig	25	13	6	6	+19	+7.3	45
4	Union Berlin	24	13	6	5	+8	-0.0	45
5	Freiburg	24	13	6	5	+4	-2.4	45
6	Ein Frankfurt	24	11	7	6	+12	-3.4	40
7	Wolfsburg	25	10	8	7	+12	+4.2	38
8	Mainz	24	10	6	8	+4	+0.3	36
9	Leverkusen	24	10	4	10	+4	+5.8	34
10	M'gladbach	25	8	7	10	-4	-1.0	31
11	Werder Bremen	25	9	4	12	-9	-5.4	31
12	Augsburg	25	8	4	13	-13	-3.5	28
13	FC Koln	24	6	9	9	-6	+0.6	27
14	Bochum	25	8	1	16	-29	-3.9	25
15	Hoffenheim	25	6	4	15	-12	-3.5	22
16	Hertha	25	5	6	14	-18	-6.0	21
17	Schalke 04	25	4	9	12	-24	-0.1	21
18	Stuttgart	25	4	8	13	-13	-0.9	20

#	Team	K	V	U	T	+/−	xG +/−	P
1	RB Leipzig	12	9	2	1	+18	+0.3	29
2	Bayern Munich	12	8	4	0	+28	+8.1	28
3	Dortmund	11	9	1	1	+19	+3.2	28
4	Freiburg	12	8	3	1	+11	+1.0	27
5	Union Berlin	11	7	4	0	+11	+1.6	25
6	M'gladbach	13	7	3	3	+10	+3.7	24
7	Ein Frankfurt	12	7	2	3	+13	+2.3	23
8	Mainz	12	5	4	3	+8	+2.2	19
9	Bochum	12	6	1	5	-3	+0.9	19
10	FC Koln	12	5	3	4	+7	+2.9	18
11	Augsburg	13	5	3	5	-4	-1.4	18
12	Leverkusen	12	5	2	5	+8	+3.5	17
13	Wolfsburg	12	4	5	3	+6	+3.1	17
14	Hertha	13	4	5	4	-1	-0.1	17
15	Werder Bremen	13	5	1	7	+1	+0.6	16
16	Stuttgart	13	4	3	6	+0	+1.2	15
17	Hoffenheim	13	4	2	7	-5	+1.1	14
18	Schalke 04	13	3	4	6	-14	-1.2	13

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	12	7	3	2	+18	-2.2	24
2	Dortmund	13	7	1	5	+0	+2.8	22
3	Wolfsburg	13	6	3	4	+6	+1.1	21
4	Union Berlin	13	6	2	5	-3	-1.7	20
5	Freiburg	12	5	3	4	-7	-3.4	18
6	Ein Frankfurt	12	4	5	3	-1	-5.7	17
7	Leverkusen	12	5	2	5	-4	+2.3	17
8	Mainz	12	5	2	5	-4	-1.9	17
9	RB Leipzig	13	4	4	5	+1	+7.0	16
10	Werder Bremen	12	4	3	5	-10	-6.1	15
11	Augsburg	12	3	1	8	-9	-2.2	10
12	FC Koln	12	1	6	5	-13	-2.3	9
13	Hoffenheim	12	2	2	8	-7	-4.6	8
14	Schalke 04	12	1	5	6	-10	+1.1	8
15	M'gladbach	12	1	4	7	-14	-4.7	7
16	Bochum	13	2	0	11	-26	-4.8	6
17	Stuttgart	12	0	5	7	-13	-2.1	5
18	Hertha	12	1	1	10	-17	-5.8	4

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.