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Superligaen

Odense

S T U T S

1–1

Full-time

Midtjylland

T S S U 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

Odense Midtjylland

Last 6 — all competitions · 6/6 matches

Win Ø 59%

50%

67%

Points per game

1,7

2,2

Over 2.5 Ø 67%

67%

Both score Ø 59%

67%

50%

Average goals

2,7

3,2

Scored

1,5

2,0

Conceded

1,2

Goal diff per game

+0,3

+0,8

This season — Superligaen · 11/11 matches

Win Ø 50%

36%

64%

Points per game

1,3

2,1

Over 2.5 Ø 60%

64%

55%

Both score Ø 59%

73%

45%

Average goals

3,1

2,8

Scored

1,5

1,7

Conceded

1,6

1,1

Goal diff per game

-0,2

+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 Odense 9. · Midtjylland 2. ▾

#	Team	K	V	U	T	+/−	P
1	Brondby	12	8	0	4	+6	24
2	Midtjylland	11	7	2	2	+7	23
3	Aarhus	12	6	3	3	+7	21
4	Sonderjyske	12	6	3	3	+5	21
5	Randers FC	12	6	1	5	+8	19
6	FC Copenhagen	12	6	1	5	+1	19
7	Aalborg	12	5	4	3	+0	19
8	Nordsjaelland	12	4	4	4	+5	16
9	Odense	11	4	2	5	-2	14
10	Vejle	12	4	2	6	-6	14
11	Horsens	12	1	3	8	-13	6
12	Lyngby	12	0	3	9	-18	3

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

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