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Superligaen

Midtjylland

S U S S T

4–0

Full-time

FC Copenhagen

U S T 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

Midtjylland FC Copenhagen

Last 6 — all competitions · 6/6 matches

Win Ø 59%

67%

50%

Points per game

2,2

1,7

Over 2.5 Ø 75%

67%

83%

Both score Ø 75%

67%

83%

Average goals

3,3

3,7

Scored

1,8

2,0

Conceded

1,5

1,7

Goal diff per game

+0,3

This season — Superligaen · 7/7 matches

Win Ø 50%

57%

43%

Points per game

1,9

1,4

Over 2.5 Ø 72%

57%

86%

Both score Ø 72%

57%

86%

Average goals

3,1

3,9

Scored

1,6

2,0

Conceded

1,6

1,9

Goal diff per game

+0,0

+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 Midtjylland 6. · FC Copenhagen 8. ▾

#	Team	K	V	U	T	+/−	P
1	Aarhus	8	4	3	1	+7	15
2	Brondby	8	5	0	3	+2	15
3	Sonderjyske	7	4	2	1	+4	14
4	Vejle	8	4	2	2	+2	14
5	Aalborg	8	4	2	2	+0	14
6	Midtjylland	7	4	1	2	+0	13
7	Nordsjaelland	8	3	3	2	+5	12
8	FC Copenhagen	7	3	1	3	+1	10
9	Odense	8	3	1	4	-2	10
10	Randers FC	8	2	1	5	+1	7
11	Horsens	7	0	2	5	-9	2
12	Lyngby	8	0	2	6	-11	2

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

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