Football statistics for OB

Team Info

Season

Country

Stadium

2025/26

Denmark

Nature Energy Park

Competition

Denmark

Superliga

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	13	8	62%	33%	86%
2	Midtjylland	13	8	62%	86%	33%
3	Nordsjaelland	13	8	62%	33%	86%
4	AGF	13	8	62%	43%	83%
5	Brondby	13	7	54%	86%	17%
6	Sonderjyske	13	6	46%	50%	43%
7	Randers	13	6	46%	50%	43%
8	Silkeborg	13	9	69%	50%	86%
9	OB	13	11	85%	86%	83%
10	Viborg	13	8	62%	83%	43%
11	Vejle	13	7	54%	71%	33%
12	Fredericia	13	8	62%	43%	83%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Copenhagen	13	12	92%	83%	100%
2	Midtjylland	13	12	92%	100%	83%
3	Nordsjaelland	13	13	100%	100%	100%
4	AGF	13	12	92%	86%	100%
5	Brondby	13	13	100%	100%	100%
6	Sonderjyske	13	12	92%	100%	86%
7	Randers	13	12	92%	83%	100%
8	Silkeborg	13	13	100%	100%	100%
9	OB	13	13	100%	100%	100%
10	Viborg	13	12	92%	100%	86%
11	Vejle	13	13	100%	100%	100%
12	Fredericia	13	13	100%	100%	100%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	13	12	92%	83%	100%
2	Midtjylland	13	11	85%	100%	67%
3	Nordsjaelland	13	8	62%	33%	86%
4	AGF	13	9	69%	43%	100%
5	Brondby	13	11	85%	100%	67%
6	Sonderjyske	13	10	77%	83%	71%
7	Randers	13	8	62%	67%	57%
8	Silkeborg	13	12	92%	100%	86%
9	OB	13	13	100%	100%	100%
10	Viborg	13	10	77%	83%	71%
11	Vejle	13	12	92%	100%	83%
12	Fredericia	13	12	92%	86%	100%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	13	6	46%	33%	57%
2	Midtjylland	13	7	54%	71%	33%
3	Nordsjaelland	13	4	31%	17%	43%
4	AGF	13	5	38%	29%	50%
5	Brondby	13	4	31%	43%	17%
6	Sonderjyske	13	4	31%	17%	43%
7	Randers	13	2	15%	17%	14%
8	Silkeborg	13	6	46%	33%	57%
9	OB	13	8	62%	71%	50%
10	Viborg	13	3	23%	33%	14%
11	Vejle	13	3	23%	29%	17%
12	Fredericia	13	6	46%	43%	50%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	13	4	31%	33%	29%
2	Midtjylland	13	5	38%	71%	0%
3	Nordsjaelland	13	3	23%	0%	43%
4	AGF	13	4	31%	14%	50%
5	Brondby	13	3	23%	29%	17%
6	Sonderjyske	13	3	23%	17%	29%
7	Randers	13	2	15%	17%	14%
8	Silkeborg	13	4	31%	17%	43%
9	OB	13	6	46%	57%	33%
10	Viborg	13	2	15%	33%	0%
11	Vejle	13	1	8%	0%	17%
12	Fredericia	13	5	38%	29%	50%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Copenhagen	13	2	15%	17%	14%
2	Midtjylland	13	5	38%	71%	0%
3	Nordsjaelland	13	1	8%	0%	14%
4	AGF	13	2	15%	0%	33%
5	Brondby	13	2	15%	29%	0%
6	Sonderjyske	13	1	8%	0%	14%
7	Randers	13	1	8%	17%	0%
8	Silkeborg	13	3	23%	17%	29%
9	OB	13	3	23%	14%	33%
10	Viborg	13	0	0%	0%	0%
11	Vejle	13	1	8%	0%	17%
12	Fredericia	13	1	8%	0%	17%

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	13	5	38%	67%	14%
2	Midtjylland	13	5	38%	14%	67%
3	Nordsjaelland	13	5	38%	67%	14%
4	AGF	13	5	38%	57%	17%
5	Brondby	13	6	46%	14%	83%
6	Sonderjyske	13	7	54%	50%	57%
7	Randers	13	7	54%	50%	57%
8	Silkeborg	13	4	31%	50%	14%
9	OB	13	2	15%	14%	17%
10	Viborg	13	5	38%	17%	57%
11	Vejle	13	6	46%	29%	67%
12	Fredericia	13	5	38%	57%	17%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	13	1	8%	17%	0%
2	Midtjylland	13	1	8%	0%	17%
3	Nordsjaelland	13	0	0%	0%	0%
4	AGF	13	1	8%	14%	0%
5	Brondby	13	0	0%	0%	0%
6	Sonderjyske	13	1	8%	0%	14%
7	Randers	13	1	8%	17%	0%
8	Silkeborg	13	0	0%	0%	0%
9	OB	13	0	0%	0%	0%
10	Viborg	13	1	8%	0%	14%
11	Vejle	13	0	0%	0%	0%
12	Fredericia	13	0	0%	0%	0%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	13	1	8%	17%	0%
2	Midtjylland	13	2	15%	0%	33%
3	Nordsjaelland	13	5	38%	67%	14%
4	AGF	13	4	31%	57%	0%
5	Brondby	13	2	15%	0%	33%
6	Sonderjyske	13	3	23%	17%	29%
7	Randers	13	5	38%	33%	43%
8	Silkeborg	13	1	8%	0%	14%
9	OB	13	0	0%	0%	0%
10	Viborg	13	3	23%	17%	29%
11	Vejle	13	1	8%	0%	17%
12	Fredericia	13	1	8%	14%	0%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	13	7	54%	67%	43%
2	Midtjylland	13	6	46%	29%	67%
3	Nordsjaelland	13	9	69%	83%	57%
4	AGF	13	8	62%	71%	50%
5	Brondby	13	9	69%	57%	83%
6	Sonderjyske	13	9	69%	83%	57%
7	Randers	13	11	85%	83%	86%
8	Silkeborg	13	7	54%	67%	43%
9	OB	13	5	38%	29%	50%
10	Viborg	13	10	77%	67%	86%
11	Vejle	13	10	77%	71%	83%
12	Fredericia	13	7	54%	57%	50%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	13	9	69%	67%	71%
2	Midtjylland	13	8	62%	29%	100%
3	Nordsjaelland	13	10	77%	100%	57%
4	AGF	13	9	69%	86%	50%
5	Brondby	13	10	77%	71%	83%
6	Sonderjyske	13	10	77%	83%	71%
7	Randers	13	11	85%	83%	86%
8	Silkeborg	13	9	69%	83%	57%
9	OB	13	7	54%	43%	67%
10	Viborg	13	11	85%	67%	100%
11	Vejle	13	12	92%	100%	83%
12	Fredericia	13	8	62%	71%	50%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Copenhagen	13	11	85%	83%	86%
2	Midtjylland	13	8	62%	29%	100%
3	Nordsjaelland	13	12	92%	100%	86%
4	AGF	13	11	85%	100%	67%
5	Brondby	13	11	85%	71%	100%
6	Sonderjyske	13	12	92%	100%	86%
7	Randers	13	12	92%	83%	100%
8	Silkeborg	13	10	77%	83%	71%
9	OB	13	10	77%	86%	67%
10	Viborg	13	13	100%	100%	100%
11	Vejle	13	12	92%	100%	83%
12	Fredericia	13	12	92%	100%	83%

Average goals scored and conceded: OB

Knowing De Stribede’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 OB’s over/under numbers and goal rates below:

85% of OB games in the league have had 3 or more goals (De Stribede and opponent goals, combined). The percentage of games where matches have had 2 or fewer goals is 15%.

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 OB’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.