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Superligaen

Horsens

T T T T T

0–0

Full-time

Odense

U U T S U

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Horsens Odense

Last 6 — all competitions · 6/6 matches

Win Ø 17%

33%

Points per game

0,0

1,5

Over 2.5 Ø 34%

50%

17%

Both score Ø 42%

33%

50%

Average goals

2,3

1,7

Scored

0,3

1,0

Conceded

2,0

0,7

Goal diff per game

-1,7

+0,3

This season — Superligaen · 16/16 matches

Win Ø 19%

31%

Points per game

0,4

1,3

Over 2.5 Ø 50%

56%

44%

Both score Ø 54%

44%

63%

Average goals

2,5

2,6

Scored

0,6

1,3

Conceded

1,9

1,3

Goal diff per game

-1,3

-0,1

🔒 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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The table before the match Horsens 12. · Odense 8. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	17	11	3	3	+12	36
2	Brondby	16	11	1	4	+12	34
3	Aarhus	16	8	5	3	+11	29
4	FC Copenhagen	16	9	2	5	+5	29
5	Randers FC	16	8	2	6	+11	26
6	Sonderjyske	16	7	3	6	+3	24
7	Aalborg	17	5	6	6	-6	21
8	Odense	16	5	5	6	-1	20
9	Vejle	16	5	5	6	-5	20
10	Nordsjaelland	16	4	5	7	+0	17
11	Lyngby	16	1	4	11	-22	7
12	Horsens	16	1	3	12	-20	6

#	Team	K	V	U	T	+/−	P
1	Midtjylland	8	6	1	1	+10	19
2	Aarhus	8	6	0	2	+11	18
3	Brondby	7	5	1	1	+7	16
4	Nordsjaelland	8	4	1	3	+5	13
5	FC Copenhagen	8	4	1	3	+3	13
6	Sonderjyske	8	4	1	3	+3	13
7	Odense	9	3	4	2	+1	13
8	Aalborg	9	3	3	3	-2	12
9	Randers FC	8	3	1	4	+2	10
10	Vejle	8	2	3	3	-3	9
11	Horsens	8	1	2	5	-8	5
12	Lyngby	8	0	4	4	-11	4

#	Team	K	V	U	T	+/−	P
1	Brondby	9	6	0	3	+5	18
2	Midtjylland	9	5	2	2	+2	17
3	Randers FC	8	5	1	2	+9	16
4	FC Copenhagen	8	5	1	2	+2	16
5	Sonderjyske	8	3	2	3	+0	11
6	Aarhus	8	2	5	1	+0	11
7	Vejle	8	3	2	3	-2	11
8	Aalborg	8	2	3	3	-4	9
9	Odense	7	2	1	4	-2	7
10	Nordsjaelland	8	0	4	4	-5	4
11	Lyngby	8	1	0	7	-11	3
12	Horsens	8	0	1	7	-12	1

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.