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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
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
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 / Results archive

Recent results

Most recent completed fixtures, newest first.

Results archiveMost recent first
Recent completed fixtures in this competition
DateHomeScoreAwayMatch
21 May 2026Brøndby IF1–3FC KøbenhavnMatch report
17 May 2026AGF6–2Viborg FFMatch report
17 May 2026Sønderjyske Fodbold1–4NordsjællandMatch report
17 May 2026FC Midtjylland2–3Brøndby IFMatch report
17 May 2026FC København5–0Randers FCMatch report
17 May 2026Odense BK0–1Vejle BoldklubMatch report
17 May 2026Fredericia4–1Silkeborg IFMatch report
11 May 2026Randers FC2–2Odense BKMatch report
10 May 2026Brøndby IF0–2AGFMatch report
10 May 2026Silkeborg IF0–4FC KøbenhavnMatch report
10 May 2026Nordsjælland0–0FC MidtjyllandMatch report
10 May 2026Vejle Boldklub2–0FredericiaMatch report
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. 1Franculino23goals
  2. 2Jordan Larsson19goals
  3. 3Tobias Bech16goals
  4. 4Youssoufa Moukoko15goals
  5. 5Aral Şimşir14goals
  6. 6Kristian Arnstad13goals
  7. 7Mikkel Duelund13goals
  8. 8Christian Gammelgaard11goals
  9. 9Valdemar Byskov11goals
  10. 10Patrick Mortensen10goals

Most assists

Season totals from completed fixtures.

  1. 1Aral Şimşir24assists
  2. 2Jordan Larsson14assists
  3. 3Mohamed Elyounoussi13assists
  4. 4Thomas Jørgensen12assists
  5. 5Christian Gammelgaard9assists
  6. 6Darío Osorio9assists
  7. 7Felix Beijmo7assists
  8. 8Tobias Bech7assists
  9. 9Marcos López7assists
  10. 10Elies Mahmoud7assists

Most minutes

Minutes played in completed fixtures.

  1. 1Wessel Dammers4006minutes
  2. 2Dominik Kotarski3810minutes
  3. 3Lucas Lund3780minutes
  4. 4Jesper Hansen3780minutes
  5. 5Felix Beijmo3675minutes
  6. 6Gift Links3651minutes
  7. 7Eric Kahl3606minutes
  8. 8Daniel Høegh3604minutes
  9. 9Maxime Soulas3597minutes
  10. 10Thomas Jørgensen3593minutes

Highest Impact Score

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

  1. 1Darío Osorio77.8/ 100
  2. 2Marcos López74.5/ 100
  3. 3Dani Silva73.8/ 100
  4. 4Zanka73.7/ 100
  5. 5Junnosuke Suzuki71.8/ 100
  6. 6Daniel Høegh71.1/ 100
  7. 7Youssoufa Moukoko70.7/ 100
  8. 8William Clem69.8/ 100
  9. 9Thomas Jørgensen69.4/ 100
  10. 10Viktor Dadason 69.1/ 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