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Superligaen

Sonderjyske

T S T T T

1–4

Full-time

Lyngby

U S 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

Sonderjyske Lyngby

Last 6 — all competitions · 6/6 matches

Win Ø 17%

17%

Points per game

0,5

0,8

Over 2.5 Ø 50%

50%

Both score Ø 42%

50%

33%

Average goals

2,5

Scored

0,8

Conceded

1,7

Goal diff per game

-0,8

This season — Superligaen · 17/17 matches

Win Ø 24%

41%

Points per game

1,4

0,5

Over 2.5 Ø 62%

59%

65%

Both score Ø 59%

65%

53%

Average goals

2,9

3,1

Scored

1,5

0,9

Conceded

1,4

2,2

Goal diff per game

+0,1

-1,3

🔒 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 Sonderjyske 6. · Lyngby 12. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	18	12	3	3	+13	39
2	Brondby	18	12	1	5	+12	37
3	Aarhus	18	9	6	3	+13	33
4	FC Copenhagen	18	9	4	5	+5	31
5	Randers FC	18	8	3	7	+10	27
6	Sonderjyske	17	7	3	7	+1	24
7	Odense	18	6	6	6	+0	24
8	Aalborg	18	5	7	6	-6	22
9	Vejle	18	5	6	7	-6	21
10	Nordsjaelland	18	4	7	7	+0	19
11	Horsens	18	1	5	12	-20	8
12	Lyngby	17	1	5	11	-22	8

#	Team	K	V	U	T	+/−	P
1	Midtjylland	9	7	1	1	+11	22
2	Aarhus	9	7	0	2	+13	21
3	Brondby	8	6	1	1	+8	19
4	Odense	10	4	4	2	+2	16
5	Nordsjaelland	9	4	2	3	+5	14
6	FC Copenhagen	9	4	2	3	+3	14
7	Sonderjyske	8	4	1	3	+3	13
8	Aalborg	9	3	3	3	-2	12
9	Randers FC	9	3	2	4	+2	11
10	Vejle	9	2	4	3	-3	10
11	Horsens	9	1	3	5	-8	6
12	Lyngby	9	0	5	4	-11	5

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

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.