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Superligaen

Vejle

T S T U T

3–2

Full-time

Aarhus

U S U U 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

Vejle Aarhus

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,2

1,5

Over 2.5 Ø 50%

67%

33%

Both score Ø 50%

50%

Average goals

3,2

2,2

Scored

1,2

1,3

Conceded

2,0

0,8

Goal diff per game

-0,8

+0,5

This season — Superligaen · 18/18 matches

Win Ø 22%

11%

33%

Points per game

0,5

1,3

Over 2.5 Ø 47%

61%

33%

Both score Ø 45%

50%

39%

Average goals

3,3

2,2

Scored

0,9

1,0

Conceded

2,4

1,2

Goal diff per game

-1,6

-0,2

🔒 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 Vejle 12. · Aarhus 7. ▾

#	Team	K	V	U	T	+/−	P
1	FC Copenhagen	18	10	6	2	+23	36
2	Midtjylland	18	11	2	5	+13	35
3	Brondby	18	9	6	3	+7	33
4	Aalborg	18	9	4	5	+9	31
5	Silkeborg	18	6	10	2	+13	28
6	Randers FC	18	8	4	6	+3	28
7	Aarhus	18	6	6	6	-3	24
8	Viborg	18	5	8	5	+0	23
9	Odense	18	4	7	7	-1	19
10	Nordsjaelland	18	4	4	10	-13	16
11	Sonderjyske	18	2	4	12	-23	10
12	Vejle	18	2	3	13	-28	9

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

#	Team	K	V	U	T	+/−	P
1	FC Copenhagen	9	6	2	1	+15	20
2	Aalborg	10	5	3	2	+6	18
3	Midtjylland	9	5	2	2	+3	17
4	Viborg	9	4	4	1	+3	16
5	Randers FC	8	4	1	3	+2	13
6	Brondby	9	3	4	2	+1	13
7	Silkeborg	9	2	6	1	+5	12
8	Aarhus	9	2	3	4	-6	9
9	Odense	9	1	4	4	-6	7
10	Nordsjaelland	9	2	1	6	-8	7
11	Sonderjyske	9	0	2	7	-12	2
12	Vejle	9	0	0	9	-23	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.