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Superligaen

Viborg

U U U U S

0–1

Full-time

Brondby

T S U S 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

Viborg Brondby

Last 6 — all competitions · 6/6 matches

Win Ø 34%

17%

50%

Points per game

1,2

1,8

Over 2.5 Ø 42%

33%

50%

Both score Ø 92%

100%

83%

Average goals

3,3

2,7

Scored

1,8

1,5

Conceded

1,5

1,2

Goal diff per game

+0,3

This season — Superligaen · 13/13 matches

Win Ø 27%

23%

31%

Points per game

1,2

1,4

Over 2.5 Ø 46%

46%

Both score Ø 81%

85%

77%

Average goals

3,2

2,8

Scored

1,5

Conceded

1,6

1,4

Goal diff per game

-0,1

+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 Viborg 8. · Brondby 6. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	14	11	1	2	+19	34
2	FC Copenhagen	14	8	4	2	+19	28
3	Aalborg	14	7	3	4	+7	24
4	Randers FC	14	7	3	4	+2	24
5	Silkeborg	13	4	7	2	+4	19
6	Brondby	13	4	6	3	+1	18
7	Odense	13	3	6	4	+1	15
8	Viborg	13	3	6	4	-1	15
9	Aarhus	13	4	3	6	-7	15
10	Nordsjaelland	14	4	2	8	-9	14
11	Sonderjyske	13	2	3	8	-12	9
12	Vejle	14	1	2	11	-24	5

#	Team	K	V	U	T	+/−	P
1	Midtjylland	7	6	0	1	+13	18
2	Brondby	7	4	2	1	+4	14
3	FC Copenhagen	7	3	3	1	+6	12
4	Aalborg	6	4	0	2	+5	12
5	Silkeborg	7	3	3	1	+5	12
6	Randers FC	8	3	3	2	-1	12
7	Aarhus	7	3	2	2	+0	11
8	Odense	6	2	2	2	+4	8
9	Sonderjyske	6	2	2	2	-2	8
10	Nordsjaelland	7	2	2	3	-3	8
11	Viborg	6	1	2	3	-2	5
12	Vejle	7	1	2	4	-7	5

#	Team	K	V	U	T	+/−	P
1	FC Copenhagen	7	5	1	1	+13	16
2	Midtjylland	7	5	1	1	+6	16
3	Randers FC	6	4	0	2	+3	12
4	Aalborg	8	3	3	2	+2	12
5	Viborg	7	2	4	1	+1	10
6	Silkeborg	6	1	4	1	-1	7
7	Odense	7	1	4	2	-3	7
8	Nordsjaelland	7	2	0	5	-6	6
9	Brondby	6	0	4	2	-3	4
10	Aarhus	6	1	1	4	-7	4
11	Sonderjyske	7	0	1	6	-10	1
12	Vejle	7	0	0	7	-17	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.