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Superligaen

Viborg

U T U U U

1–1

Full-time

Silkeborg

S U 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

Viborg Silkeborg

Last 6 — all competitions · 6/6 matches

Win Ø 34%

17%

50%

Points per game

1,2

1,7

Over 2.5 Ø 50%

33%

67%

Both score Ø 75%

83%

67%

Average goals

2,8

3,5

Scored

1,5

1,8

Conceded

1,3

1,7

Goal diff per game

+0,2

This season — Superligaen · 11/11 matches

Win Ø 27%

18%

36%

Points per game

1,0

1,5

Over 2.5 Ø 45%

45%

Both score Ø 69%

82%

55%

Average goals

2,9

2,5

Scored

1,3

1,5

Conceded

1,6

1,1

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 Viborg 10. · Silkeborg 5. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	11	9	0	2	+16	27
2	FC Copenhagen	11	7	3	1	+17	24
3	Aalborg	11	6	3	2	+9	21
4	Randers FC	11	5	3	3	+2	18
5	Silkeborg	11	4	5	2	+4	17
6	Odense	11	3	5	3	+2	14
7	Nordsjaelland	11	4	1	6	-5	13
8	Brondby	11	2	6	3	-1	12
9	Aarhus	11	3	3	5	-7	12
10	Viborg	11	2	5	4	-4	11
11	Sonderjyske	11	2	2	7	-11	8
12	Vejle	11	0	2	9	-22	2

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

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