Best Central Midfielders in the Danish Superliga 2026/2027
The best central midfielders in the Danish Superliga 2026/2027, ranked by FootyCabin's position-adjusted season Impact Score. 10 players meet the existing eligibility rules for this position; the top 10 are listed.
| Rank# | Player | Club | Minutes | Impact Score | Passes / 90 | Pass accuracy | Final-third passes / 90 | Chances created / 90 | Losses / 100 touches |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Justin JanssenNordsjælland | Nordsjælland | 824 | 70.8 | 72.96 | 87.6% | 12.89 | 1.64 | 15.0 |
| 2 | Nicklas Røjkjær Nordsjælland | Nordsjælland | 498 | 62.8 | 60.90 | 89.3% | 7.05 | 2.17 | 17.9 |
| 3 | Casper Winther— | — | 667 | 58.3 | 54.65 | 85.4% | 9.72 | 2.02 | 19.1 |
| 4 | Mark BrinkNordsjælland | Nordsjælland | 648 | 57.6 | 65.14 | 85.9% | 8.89 | 2.08 | 17.4 |
| 5 | Ismahila OuédraogoOdense BK | Odense BK | 704 | 53.6 | 58.17 | 88.8% | 9.08 | 0.13 | 11.6 |
| 6 | Jens Jakob ThomasenLyngby Boldklub | Lyngby Boldklub | 486 | 49.9 | 57.59 | 86.2% | 7.78 | 0.74 | 13.8 |
| 7 | Jeppe Grønning Viborg FF | Viborg FF | 990 | 47.1 | 48.36 | 87.2% | 7.55 | 0.36 | 13.0 |
| 8 | Lauge SandgravLyngby Boldklub | Lyngby Boldklub | 878 | 45.9 | 61.71 | 82.2% | 10.05 | 0.82 | 19.6 |
| 9 | Asker BeckViborg FF | Viborg FF | 834 | 30.9 | 36.58 | 83.2% | 3.67 | 1.30 | 21.8 |
| 10 | Mads SøndergaardViborg FF | Viborg FF | 643 | 30.8 | 28.41 | 79.3% | 4.06 | 0.98 | 22.8 |
How this ranking works
Players are ranked by the Football Performance Lab Impact Score, an experimental in-house model that combines role-relative percentile families using explicit position-specific weights. The score shown here is the stored season-level figure for the Danish Superliga 2026/2027; nothing is recalculated for this page. It is not an official rating, not a definitive measure of player quality, and not a prediction.
Only players with a published Impact Score for this competition and season are eligible, and a position page is published only when at least 5 players qualify. Players without enough data are excluded rather than shown with a substitute figure, and a statistic the provider did not record is shown as not available, never as zero. Read the full scoring methodology.
Last updated: 23 Oct 2026