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Superligaen

Aalborg

S T T U U

0–2

Full-time

Midtjylland

U S T 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

Aalborg Midtjylland

Last 6 — all competitions · 6/6 matches

Win Ø 42%

17%

67%

Points per game

0,8

2,2

Over 2.5 Ø 59%

67%

50%

Both score Ø 67%

67%

Average goals

3,0

2,5

Scored

1,2

1,7

Conceded

1,8

0,8

Goal diff per game

-0,7

+0,8

This season — Superligaen · 16/16 matches

Win Ø 47%

31%

63%

Points per game

1,3

2,1

Over 2.5 Ø 56%

56%

Both score Ø 63%

69%

56%

Average goals

2,5

2,8

Scored

1,1

1,7

Conceded

1,4

1,1

Goal diff per game

-0,3

+0,6

🔒 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 Aalborg 7. · Midtjylland 2. ▾

#	Team	K	V	U	T	+/−	P
1	Brondby	16	11	1	4	+12	34
2	Midtjylland	16	10	3	3	+10	33
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	16	5	6	5	-4	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	8	3	3	2	+0	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	Randers FC	8	5	1	2	+9	16
3	FC Copenhagen	8	5	1	2	+2	16
4	Midtjylland	8	4	2	2	+0	14
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.