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Bundesliga

Referee: Knut Kircher

FC Koln

S U U T U

2–1

Full-time

Dortmund

S T S S 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

FC Koln Dortmund

Last 6 — all competitions · 6/6 matches

Win Ø 50%

17%

83%

Points per game

1,2

2,5

Over 2.5 Ø 59%

17%

100%

Both score Ø 67%

33%

100%

Average goals

1,0

4,3

Scored

0,5

2,8

Conceded

0,5

1,5

Goal diff per game

+0,0

+1,3

This season — Bundesliga · 16/16 matches

Win Ø 53%

31%

75%

Points per game

1,3

2,4

Over 2.5 Ø 63%

38%

88%

Both score Ø 60%

44%

75%

Average goals

2,3

4,2

Scored

1,0

2,9

Conceded

1,3

Goal diff per game

-0,3

+1,6

🔒 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: 0–1

31% Possession 69%

14 Shots 14

6 Shots on target 3

3 Blocked shots 4

2 Goalkeeper saves 4

6 Corners 6

4 Offside 0

0 Free kicks against 0

3 Yellow cards 1

0 Red cards 0

The table before the match FC Koln 10. · Dortmund 2. ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	16	14	1	1	+37	43
2	Dortmund	16	12	2	2	+25	38
3	Hertha	16	9	2	5	+6	29
4	Schalke 04	17	8	3	6	+0	27
5	Wolfsburg	16	7	5	4	+7	26
6	M'gladbach	16	8	2	6	+3	26
7	Leverkusen	16	7	3	6	+4	24
8	Mainz	16	7	3	6	+2	24
9	Hamburg	16	6	4	6	-3	22
10	FC Koln	16	5	6	5	-4	21
11	FC Ingolstadt 04	16	5	5	6	-6	20
12	Darmstadt	16	4	6	6	-8	18
13	Augsburg	16	4	4	8	-6	16
14	Werder Bremen	16	4	3	9	-14	15
15	Ein Frankfurt	16	3	5	8	-8	14
16	Hannover	16	4	2	10	-10	14
17	Hoffenheim	17	2	7	8	-8	13
18	Stuttgart	16	3	3	10	-17	12

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	9	9	0	0	+29	27
2	Dortmund	8	7	1	0	+20	22
3	Wolfsburg	9	6	2	1	+14	20
4	Schalke 04	9	5	2	2	+2	17
5	M'gladbach	8	5	1	2	+5	16
6	Hertha	7	5	1	1	+5	16
7	Leverkusen	8	4	2	2	+6	14
8	Mainz	9	4	1	4	+0	13
9	FC Koln	8	2	4	2	+0	10
10	Hamburg	7	2	2	3	-1	8
11	FC Ingolstadt 04	7	2	2	3	-2	8
12	Augsburg	9	2	2	5	-4	8
13	Hoffenheim	8	1	4	3	-3	7
14	Darmstadt	9	1	4	4	-8	7
15	Stuttgart	8	2	1	5	-9	7
16	Hannover	7	2	0	5	-3	6
17	Ein Frankfurt	7	1	3	3	-3	6
18	Werder Bremen	8	1	1	6	-11	4

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