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Superligaen

Sonderjyske

T S T T S

0–1

Full-time

Vejle

T T T U U

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

Sonderjyske Vejle

Last 6 — all competitions · 6/6 matches

Win Ø 17%

33%

Points per game

1,2

0,3

Over 2.5 Ø 50%

67%

33%

Both score Ø 58%

83%

33%

Average goals

2,7

2,0

Scored

1,2

0,3

Conceded

1,5

1,7

Goal diff per game

-0,3

-1,3

This season — Superligaen · 14/14 matches

Win Ø 40%

50%

29%

Points per game

1,7

1,1

Over 2.5 Ø 61%

64%

57%

Both score Ø 64%

71%

57%

Average goals

2,9

3,0

Scored

1,6

1,3

Conceded

1,3

1,7

Goal diff per game

+0,4

-0,4

🔒 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 Sonderjyske 5. · Vejle 10. ▾

#	Team	K	V	U	T	+/−	P
1	Brondby	14	10	0	4	+8	30
2	Midtjylland	14	8	3	3	+8	27
3	Randers FC	14	8	1	5	+12	25
4	Aarhus	14	7	4	3	+10	25
5	Sonderjyske	14	7	3	4	+5	24
6	FC Copenhagen	14	7	2	5	+2	23
7	Aalborg	14	5	4	5	-4	19
8	Nordsjaelland	14	4	4	6	+2	16
9	Odense	14	4	4	6	-3	16
10	Vejle	14	4	4	6	-6	16
11	Lyngby	14	1	4	9	-17	7
12	Horsens	14	1	3	10	-17	6

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