League classification archive

Denmark · 2026/2027

League profileSeason 2026/202727 completed fixtures

Superliga

Denmark. 12 teams in the 2026/2027 season. Every figure on this page is calculated from completed fixtures only; 105 scheduled fixtures are excluded.

Teams
12
Completed fixtures
27
Scheduled fixtures
105
Season
2026/2027
01 / Classification

Current table

Provisional standing from the completed fixtures in our database. Three points for a win; no official deductions or provider standings are applied.

Classification tableCompleted fixtures only
League table from completed fixtures
#TeamPWDLGFGAGDPts
1Viborg FF531172510
2Nordsjælland431061510
3Brøndby IF431073410
4FC Midtjylland431074310
5FC København430110739
6Horsens521267-17
7Odense BK511346-24
8Silkeborg IF411235-24
9Randers FC511337-44
10AGF403167-13
11Lyngby Boldklub5023610-42
12Sønderjyske Fodbold5014410-61
02 / Results archive

Recent results

Most recent completed fixtures, newest first.

Results archiveMost recent first
03 / Team index

Teams

Clubs participating in this season, in alphabetical order.

04 / Player intelligence

Top performers

Existing player season figures only. Impact Score appears solely for players who already meet the publishable sample and coverage rules.

League intelligence recordPublishable samples only

Most goals

Season totals from completed fixtures.

  1. 1Mohamed Elyounoussi4goals
  2. 2Birger Meling4goals
  3. 3Mohamed Cherif Haidara2goals
  4. 4Mads Frøkjaer-Jensen2goals
  5. 5Kristian Arnstad2goals
  6. 6Adrian Justinussen2goals
  7. 7Kelvin Ehibhatiomhan2goals
  8. 8Oliver Ross2goals
  9. 9Fiete Arp2goals
  10. 10Mads Søndergaard2goals

Most assists

Season totals from completed fixtures.

  1. 1Oliver Bundgaard2assists
  2. 2Darío Osorio2assists
  3. 3Callum McCowatt2assists
  4. 4Max Ejdum2assists
  5. 5Alex Král2assists
  6. 6Valdemar Byskov2assists
  7. 7Olti Hyseni2assists
  8. 8Marcus McCoy1assists
  9. 9Julius Madsen1assists
  10. 10Maxime Soulas1assists

Most minutes

Minutes played in completed fixtures.

  1. 1Marcus McCoy450minutes
  2. 2Daniel Høegh450minutes
  3. 3Wessel Dammers450minutes
  4. 4Julius Madsen450minutes
  5. 5Maxime Soulas450minutes
  6. 6Zan Zaletel450minutes
  7. 7Oliver Bundgaard450minutes
  8. 8Matej Delac450minutes
  9. 9Ismahila Ouédraogo450minutes
  10. 10C. Winther450minutes

Highest Impact Score

Only players who meet the existing publishable sample and coverage rules.

  1. 1Kasper Kiilerich73.3/ 100
  2. 2Lukas Kirkegaard65.8/ 100
  3. 3James Gomez64.3/ 100
  4. 4Elies Mahmoud60.1/ 100
  5. 5S. Colyn59.3/ 100
  6. 6Oliver Bundgaard58.5/ 100
  7. 7Laurits Pedersen56.8/ 100
  8. 8C. Winther56.4/ 100
  9. 9Daniel Høegh56.1/ 100
  10. 10Ísak Snaer Thorvaldsson53.5/ 100
05 / 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