League classification archive

Denmark · 2026/2027

League profileSeason 2026/202759 completed fixtures

Superliga

Denmark. 12 teams in the 2026/2027 season. Every figure on this page is calculated from completed fixtures only; 73 scheduled fixtures are excluded.

Teams
12
Completed fixtures
59
Scheduled fixtures
73
Season
2026/2027
League intelligenceWhat stands out

Team data

01 / Classification

Current table

Table based on completed matches in our data. Three points for a win. Official points deductions are not included.

Classification tableCompleted fixtures only
League table from completed fixtures
#TeamPWDLGFGAGDPts
1FC København1080224101424
2FC Midtjylland106401910922
3Viborg FF10622178920
4Nordsjælland105321410418
5Brøndby IF105141717016
6Horsens103341819-112
7Silkeborg IF102531515011
8Randers FC103161116-510
9Odense BK10244814-610
10Lyngby Boldklub101451221-97
11AGF90541117-65
12Sønderjyske Fodbold91261221-95
02 / Fixtures

Results & fixtures

Latest completed matches, and the next round that has not been fully played.

Results archiveMost recent first
03 / Attack & defence

Attack & defence rankings

Compare teams across the league for goals, clean sheets, scoring rates and other match results.

Attack & defence rankingsCompleted fixtures only
Goals scored ranking per match
RankTeamPer match
1FC København2.40
2FC Midtjylland1.90
3Horsens1.80
4Brøndby IF1.70
5Viborg FF1.70
6Silkeborg IF1.50
7Nordsjælland1.40
8Sønderjyske Fodbold1.33
9AGF1.22
10Lyngby Boldklub1.20
11Randers FC1.10
12Odense BK0.80
04 / Shots

Team shot rankings

Compare teams by shots, shots on target and scoring efficiency. Figures are built from recorded player shots in completed league matches.

Team shot rankingsCompleted fixtures only
Shots ranking
RankTeamPer match
1Nordsjælland17.9
2AGF16.8
3FC København15.7
4Brøndby IF15.1
5Odense BK14.8
6Lyngby Boldklub14.7
7Viborg FF14.4
8FC Midtjylland13.6
9Silkeborg IF12.7
10Horsens11.8
11Sønderjyske Fodbold11.6
12Randers FC10.6

Attacking output context

See how each team's shot volume and scoring rate compare with the rest of the league.

Attacking output contextLeague-relative context
Team attacking output context
TeamShots / matchGoals / shotOutput context
Nordsjælland17.97.8%High Volume / Low Conversion
AGF16.87.3%High Volume / Low Conversion
FC København15.717.0%High Volume / High Conversion
Brøndby IF15.111.3%High Volume / Low Conversion
Odense BK14.85.4%High Volume / Low Conversion
Lyngby Boldklub14.78.2%Balanced Output
Viborg FF14.411.8%Balanced Output
FC Midtjylland13.614.0%Low Volume / High Conversion
Silkeborg IF12.713.2%Low Volume / High Conversion
Horsens11.815.3%Low Volume / High Conversion
Sønderjyske Fodbold11.611.5%Low Volume / Average Conversion
Randers FC10.611.6%Low Volume / Average Conversion
05 / Possession

Team possession

Team possessionCompleted fixtures only
TeamAverage possessionMatches measured
Nordsjælland56.4%10
AGF56.1%9
Brøndby IF54.2%10
Odense BK52.9%10
FC København52.0%10
Lyngby Boldklub51.0%10
FC Midtjylland49.5%10
Silkeborg IF49.0%10
Viborg FF48.1%10
Horsens45.7%10
Randers FC45.0%10
Sønderjyske Fodbold39.7%9

Average possession in completed league matches this season. More possession does not necessarily mean better performance.

Territory context

See how each team's possession and corner numbers compare with the rest of the league.

Territory contextLeague-relative context
Territory context by team
TeamPossessionCorners / matchTerritory
Nordsjælland56.4%5.9Possession & Territory
AGF56.1%7.1Possession & Territory
Brøndby IF54.2%6.3Possession & Territory
Odense BK52.9%6.4Possession & Territory
FC København52.0%4.3Possession Without Corner Volume
Lyngby Boldklub51.0%5.6Direct Territory
FC Midtjylland49.5%5.4Balanced Territory
Silkeborg IF49.0%4.3Limited Territory
Viborg FF48.1%5.1Limited Territory
Horsens45.7%3.0Limited Territory
Randers FC45.0%4.0Limited Territory
Sønderjyske Fodbold39.7%4.3Limited Territory
Method

Methodology

MethodologySample & coverage rules

Data source

Match, lineup, event and player statistics come from Sportmonks and are stored per fixture. Only completed fixtures with recorded minutes are aggregated. Announced lineups and future fixtures are excluded.

Per 90 minutes

A per-90 value scales a season total to a full match: total × 90 ÷ minutes played. It is not calculated when minutes are missing or zero.

Missing data

The provider omits some statistics instead of sending a zero. A missing value is shown as "not available" and never converted to 0, so rates and percentiles are only produced where the underlying fields genuinely exist.

Impact Score

The Football Performance Lab Impact Score is an experimental in-house model that combines role-relative percentile families with explicit weights. It is not an official rating and not a measure of transfer value.

Minimum samples

Values are calculated internally from 180 minutes, but a player is only shown publicly with a ranked Impact Score from 360 minutes and 5 appearances, with at least 90% metric coverage and an established role. A single appearance contributes a match impact observation from 30 minutes.

Full methodology