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Superligaen

Horsens

T U S T T

1–2

Full-time

Brondby

S S S T S

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 Brondby

Last 6 — all competitions · 6/6 matches

Win Ø 42%

17%

67%

Points per game

0,7

2,0

Over 2.5 Ø 67%

50%

83%

Both score Ø 67%

50%

83%

Average goals

2,5

3,5

Scored

0,8

2,2

Conceded

1,7

1,3

Goal diff per game

-0,8

+0,8

This season — Superligaen · 12/12 matches

Win Ø 38%

67%

Points per game

0,5

2,0

Over 2.5 Ø 71%

58%

83%

Both score Ø 67%

50%

83%

Average goals

2,6

3,5

Scored

0,8

2,0

Conceded

1,8

1,5

Goal diff per game

-1,1

+0,5

🔒 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 11. · Brondby 3. ▾

#	Team	K	V	U	T	+/−	P
1	Aarhus	13	7	3	3	+10	24
2	Midtjylland	12	7	3	2	+7	24
3	Brondby	12	8	0	4	+6	24
4	Randers FC	13	7	1	5	+9	22
5	Sonderjyske	13	6	3	4	+4	21
6	FC Copenhagen	13	6	2	5	+1	20
7	Aalborg	13	5	4	4	-3	19
8	Nordsjaelland	12	4	4	4	+5	16
9	Odense	13	4	4	5	-2	16
10	Vejle	13	4	3	6	-6	15
11	Horsens	12	1	3	8	-13	6
12	Lyngby	13	0	4	9	-18	4

#	Team	K	V	U	T	+/−	P
1	Aarhus	7	5	0	2	+10	15
2	Brondby	6	5	0	1	+7	15
3	Nordsjaelland	6	4	1	1	+8	13
4	Midtjylland	5	4	1	0	+8	13
5	Sonderjyske	7	4	1	2	+4	13
6	Odense	7	3	3	1	+2	12
7	Aalborg	6	3	2	1	+1	11
8	FC Copenhagen	7	3	1	3	+2	10
9	Randers FC	6	2	1	3	+0	7
10	Vejle	6	2	1	3	-3	7
11	Horsens	6	1	2	3	-5	5
12	Lyngby	7	0	4	3	-7	4

#	Team	K	V	U	T	+/−	P
1	Randers FC	7	5	0	2	+9	15
2	Midtjylland	7	3	2	2	-1	11
3	FC Copenhagen	6	3	1	2	-1	10
4	Aarhus	6	2	3	1	+0	9
5	Brondby	6	3	0	3	-1	9
6	Sonderjyske	6	2	2	2	+0	8
7	Vejle	7	2	2	3	-3	8
8	Aalborg	7	2	2	3	-4	8
9	Odense	6	1	1	4	-4	4
10	Nordsjaelland	6	0	3	3	-3	3
11	Horsens	6	0	1	5	-8	1
12	Lyngby	6	0	0	6	-11	0

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.