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Superligaen

Odense

U T S U U

0–1

Full-time

Lyngby

U T T T U

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 Lyngby

Last 6 — all competitions · 6/6 matches

Win Ø 9%

17%

Points per game

1,0

0,3

Over 2.5 Ø 59%

50%

67%

Both score Ø 84%

100%

67%

Average goals

2,7

3,0

Scored

1,2

0,8

Conceded

1,5

2,2

Goal diff per game

-0,3

-1,3

This season — Superligaen · 13/13 matches

Win Ø 16%

31%

Points per game

1,2

0,3

Over 2.5 Ø 62%

54%

69%

Both score Ø 70%

77%

62%

Average goals

2,9

3,2

Scored

1,4

0,9

Conceded

1,5

2,3

Goal diff per game

-0,2

-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 Odense 9. · Lyngby 12. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	13	8	3	2	+9	27
2	Brondby	13	9	0	4	+7	27
3	Randers FC	14	8	1	5	+12	25
4	Aarhus	14	7	4	3	+10	25
5	Sonderjyske	13	6	3	4	+4	21
6	FC Copenhagen	13	6	2	5	+1	20
7	Aalborg	13	5	4	4	-3	19
8	Nordsjaelland	13	4	4	5	+3	16
9	Odense	13	4	4	5	-2	16
10	Vejle	14	4	4	6	-6	16
11	Horsens	14	1	3	10	-17	6
12	Lyngby	13	0	4	9	-18	4

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

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