League classification archive

Denmark · 2025/2026

League profileSeason 2025/2026193 completed fixtures

Superliga

Denmark. 12 teams in the 2025/2026 season. Every figure on this page is calculated from completed fixtures only.

Teams
12
Completed fixtures
193
Scheduled fixtures
0
Season
2025/2026
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
1AGF321910362323067
2FC Midtjylland321612472363660
3FC København331661170452554
4Nordsjælland32155125146550
5Brøndby IF33136144538745
6Viborg FF32135144951-244
7Sønderjyske Fodbold32128124449-544
8Odense BK32118135160-941
9Silkeborg IF32106164167-2636
10Randers FC3298153347-1435
11Fredericia3297164568-2334
12Vejle Boldklub3259183660-2424
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 Midtjylland2.25
2FC København2.12
3AGF1.94
4Nordsjælland1.59
5Odense BK1.59
6Viborg FF1.53
7Fredericia1.41
8Sønderjyske Fodbold1.38
9Brøndby IF1.36
10Silkeborg IF1.28
11Vejle Boldklub1.13
12Randers FC1.03
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
1FC København17.6
2AGF15.7
3FC Midtjylland14.3
4Brøndby IF14.2
5Nordsjælland13.8
6Viborg FF13.7
7Odense BK12.5
8Randers FC12.4
9Fredericia12.3
10Sønderjyske Fodbold12.1
11Silkeborg IF11.4
12Vejle Boldklub11.3

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
FC København17.612.0%High Volume / High Conversion
AGF15.712.4%High Volume / High Conversion
FC Midtjylland14.315.7%High Volume / High Conversion
Brøndby IF14.29.6%High Volume / Low Conversion
Nordsjælland13.811.9%High Volume / High Conversion
Viborg FF13.711.6%Balanced Output
Odense BK12.513.2%Balanced Output
Randers FC12.48.3%Low Volume / Low Conversion
Fredericia12.311.8%Low Volume / Average Conversion
Sønderjyske Fodbold12.111.4%Low Volume / Low Conversion
Silkeborg IF11.411.2%Low Volume / Low Conversion
Vejle Boldklub11.310.3%Low Volume / Low Conversion
05 / Possession

Team possession

Team possessionCompleted fixtures only
TeamAverage possessionMatches measured
Nordsjælland57.2%32
FC København55.1%33
FC Midtjylland53.8%32
AGF53.6%32
Odense BK51.4%32
Brøndby IF51.2%33
Silkeborg IF48.8%32
Randers FC48.4%32
Viborg FF47.6%32
Vejle Boldklub44.6%32
Fredericia44.1%32
Sønderjyske Fodbold43.9%32

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
Nordsjælland57.2%4.8Possession & Territory
FC København55.1%5.8Possession & Territory
FC Midtjylland53.8%5.5Possession & Territory
AGF53.6%5.5Possession & Territory
Odense BK51.4%5.4Possession & Territory
Brøndby IF51.2%4.1Limited Territory
Silkeborg IF48.8%4.3Limited Territory
Randers FC48.4%5.3Direct Territory
Viborg FF47.6%4.6Limited Territory
Vejle Boldklub44.6%4.1Limited Territory
Fredericia44.1%4.8Limited Territory
Sønderjyske Fodbold43.9%4.0Limited 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