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Superligaen

Aarhus

S T S T U

3–0

Full-time

Midtjylland

S S U 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

Aarhus Midtjylland

Last 6 — all competitions · 6/6 matches

Win Ø 67%

50%

83%

Points per game

1,7

2,7

Over 2.5 Ø 42%

17%

67%

Both score Ø 25%

50%

Average goals

1,5

3,2

Scored

0,7

2,3

Conceded

0,8

Goal diff per game

-0,2

+1,5

This season — Superligaen · 14/14 matches

Win Ø 54%

29%

79%

Points per game

1,1

2,4

Over 2.5 Ø 40%

29%

50%

Both score Ø 33%

29%

36%

Average goals

1,9

2,8

Scored

0,7

2,1

Conceded

1,2

0,7

Goal diff per game

-0,5

+1,4

🔒 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 Aarhus 9. · Midtjylland 1. ▾

#	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	15	7	4	4	+7	25
4	Randers FC	15	7	4	4	+2	25
5	Silkeborg	14	5	7	2	+10	22
6	Brondby	14	5	6	3	+2	21
7	Odense	14	3	7	4	+1	16
8	Viborg	15	3	7	5	-2	16
9	Aarhus	14	4	4	6	-7	16
10	Nordsjaelland	15	4	3	8	-9	15
11	Sonderjyske	15	2	3	10	-20	9
12	Vejle	15	2	2	11	-22	8

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

#	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	7	4	1	2	+3	13
4	Aalborg	8	3	3	2	+2	12
5	Silkeborg	7	2	4	1	+5	10
6	Viborg	7	2	4	1	+1	10
7	Brondby	7	1	4	2	-2	7
8	Odense	7	1	4	2	-3	7
9	Nordsjaelland	8	2	1	5	-6	7
10	Aarhus	7	1	2	4	-7	5
11	Sonderjyske	8	0	1	7	-12	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.