Football statistics for Silkeborg

Team Info

Season

Country

Stadium

2025/26

Denmark

JYSK park

Competition

Denmark

Superliga

Europe

UEFA Europa Conference League

Denmark

Danish Cup

Summary Match Schedule Match Results Squads Top Scorers & Assists Standings

Table Corners Cards 1st Half 2nd Half Over Under Goals Clean Sheet BTTS Match Scoring / Conceding First

Over 2.5
Over 0.5
Over 1.5
Over 3.5
Over 4.5
Over 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	8	67%	40%	86%
2	Midtjylland	12	7	58%	86%	20%
3	Nordsjaelland	12	8	67%	33%	100%
4	AGF	12	8	67%	50%	83%
5	Brondby	12	6	50%	86%	0%
6	Sonderjyske	11	5	45%	40%	50%
7	Randers	12	6	50%	60%	43%
8	Silkeborg	12	8	67%	50%	83%
9	OB	12	10	83%	83%	83%
10	Viborg	12	8	67%	83%	50%
11	Vejle	12	6	50%	67%	33%
12	Fredericia	11	6	55%	33%	80%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Copenhagen	12	12	100%	100%	100%
2	Midtjylland	12	11	92%	100%	80%
3	Nordsjaelland	12	12	100%	100%	100%
4	AGF	12	11	92%	83%	100%
5	Brondby	12	12	100%	100%	100%
6	Sonderjyske	11	11	100%	100%	100%
7	Randers	12	12	100%	100%	100%
8	Silkeborg	12	12	100%	100%	100%
9	OB	12	12	100%	100%	100%
10	Viborg	12	12	100%	100%	100%
11	Vejle	12	12	100%	100%	100%
12	Fredericia	11	11	100%	100%	100%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	12	12	100%	100%	100%
2	Midtjylland	12	10	83%	100%	60%
3	Nordsjaelland	12	8	67%	33%	100%
4	AGF	12	9	75%	50%	100%
5	Brondby	12	10	83%	100%	60%
6	Sonderjyske	11	9	82%	80%	83%
7	Randers	12	8	67%	80%	57%
8	Silkeborg	12	11	92%	100%	83%
9	OB	12	12	100%	100%	100%
10	Viborg	12	10	83%	83%	83%
11	Vejle	12	11	92%	100%	83%
12	Fredericia	11	10	91%	83%	100%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	12	6	50%	40%	57%
2	Midtjylland	12	6	50%	71%	20%
3	Nordsjaelland	12	4	33%	17%	50%
4	AGF	12	5	42%	33%	50%
5	Brondby	12	3	25%	43%	0%
6	Sonderjyske	11	4	36%	20%	50%
7	Randers	12	2	17%	20%	14%
8	Silkeborg	12	6	50%	33%	67%
9	OB	12	7	58%	67%	50%
10	Viborg	12	3	25%	33%	17%
11	Vejle	12	3	25%	33%	17%
12	Fredericia	11	5	45%	33%	60%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	12	4	33%	40%	29%
2	Midtjylland	12	5	42%	71%	0%
3	Nordsjaelland	12	3	25%	0%	50%
4	AGF	12	4	33%	17%	50%
5	Brondby	12	2	17%	29%	0%
6	Sonderjyske	11	3	27%	20%	33%
7	Randers	12	2	17%	20%	14%
8	Silkeborg	12	4	33%	17%	50%
9	OB	12	5	42%	50%	33%
10	Viborg	12	2	17%	33%	0%
11	Vejle	12	1	8%	0%	17%
12	Fredericia	11	5	45%	33%	60%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	12	2	17%	20%	14%
2	Midtjylland	12	5	42%	71%	0%
3	Nordsjaelland	12	1	8%	0%	17%
4	AGF	12	2	17%	0%	33%
5	Brondby	12	2	17%	29%	0%
6	Sonderjyske	11	1	9%	0%	17%
7	Randers	12	1	8%	20%	0%
8	Silkeborg	12	3	25%	17%	33%
9	OB	12	3	25%	17%	33%
10	Viborg	12	0	0%	0%	0%
11	Vejle	12	1	8%	0%	17%
12	Fredericia	11	1	9%	0%	20%

Under 2.5
Under 0.5
Under 1.5
Under 3.5
Under 4.5
Under 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	4	33%	60%	14%
2	Midtjylland	12	5	42%	14%	80%
3	Nordsjaelland	12	4	33%	67%	0%
4	AGF	12	4	33%	50%	17%
5	Brondby	12	6	50%	14%	100%
6	Sonderjyske	11	6	55%	60%	50%
7	Randers	12	6	50%	40%	57%
8	Silkeborg	12	4	33%	50%	17%
9	OB	12	2	17%	17%	17%
10	Viborg	12	4	33%	17%	50%
11	Vejle	12	6	50%	33%	67%
12	Fredericia	11	5	45%	67%	20%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	0	0%	0%	0%
2	Midtjylland	12	1	8%	0%	20%
3	Nordsjaelland	12	0	0%	0%	0%
4	AGF	12	1	8%	17%	0%
5	Brondby	12	0	0%	0%	0%
6	Sonderjyske	11	0	0%	0%	0%
7	Randers	12	0	0%	0%	0%
8	Silkeborg	12	0	0%	0%	0%
9	OB	12	0	0%	0%	0%
10	Viborg	12	0	0%	0%	0%
11	Vejle	12	0	0%	0%	0%
12	Fredericia	11	0	0%	0%	0%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	0	0%	0%	0%
2	Midtjylland	12	2	17%	0%	40%
3	Nordsjaelland	12	4	33%	67%	0%
4	AGF	12	3	25%	50%	0%
5	Brondby	12	2	17%	0%	40%
6	Sonderjyske	11	2	18%	20%	17%
7	Randers	12	4	33%	20%	43%
8	Silkeborg	12	1	8%	0%	17%
9	OB	12	0	0%	0%	0%
10	Viborg	12	2	17%	17%	17%
11	Vejle	12	1	8%	0%	17%
12	Fredericia	11	1	9%	17%	0%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	6	50%	60%	43%
2	Midtjylland	12	6	50%	29%	80%
3	Nordsjaelland	12	8	67%	83%	50%
4	AGF	12	7	58%	67%	50%
5	Brondby	12	9	75%	57%	100%
6	Sonderjyske	11	7	64%	80%	50%
7	Randers	12	10	83%	80%	86%
8	Silkeborg	12	6	50%	67%	33%
9	OB	12	5	42%	33%	50%
10	Viborg	12	9	75%	67%	83%
11	Vejle	12	9	75%	67%	83%
12	Fredericia	11	6	55%	67%	40%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	8	67%	60%	71%
2	Midtjylland	12	7	58%	29%	100%
3	Nordsjaelland	12	9	75%	100%	50%
4	AGF	12	8	67%	83%	50%
5	Brondby	12	10	83%	71%	100%
6	Sonderjyske	11	8	73%	80%	67%
7	Randers	12	10	83%	80%	86%
8	Silkeborg	12	8	67%	83%	50%
9	OB	12	7	58%	50%	67%
10	Viborg	12	10	83%	67%	100%
11	Vejle	12	11	92%	100%	83%
12	Fredericia	11	6	55%	67%	40%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	12	10	83%	80%	86%
2	Midtjylland	12	7	58%	29%	100%
3	Nordsjaelland	12	11	92%	100%	83%
4	AGF	12	10	83%	100%	67%
5	Brondby	12	10	83%	71%	100%
6	Sonderjyske	11	10	91%	100%	83%
7	Randers	12	11	92%	80%	100%
8	Silkeborg	12	9	75%	83%	67%
9	OB	12	9	75%	83%	67%
10	Viborg	12	12	100%	100%	100%
11	Vejle	12	11	92%	100%	83%
12	Fredericia	11	10	91%	100%	80%

Average goals scored and conceded: Silkeborg

Knowing SIF’s averages in terms of goals scored and conceded is instrumental in understanding how the team is performing in the Superliga 2025/2026 on both ends of the pitch.

Check out some of the Silkeborg’s over/under numbers and goal rates below:

67% of Silkeborg games in the league have had 3 or more goals (SIF and opponent goals, combined). The percentage of games where matches have had 2 or fewer goals is 33%.

This page can filter the number of goals, from above or below 0.5 goals to 5.5 goals. You can also sort them in ascending and descending order based on the number of times it has occurred, as well as their frequency at home, away from home, and overall in Danish Superliga.

All of this information can help determine how Silkeborg’s offence and defence are performing throughout the season. If the goal rate during matches is high, it is important to determine the cause of such a lot of goals going in.

However, it is important to remember that goal percentage statistics cannot be analysed in isolation. Instead, they should be considered alongside several other factors, such as tactics, personnel moves, and others.