Best Midfielders in the La Liga 2025/26
Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 La Liga midfielders in 2025/26, Edu Expósito leads the ranking as a Box-to-Box with a composite score of 2.95. Pablo Fornals (Creator) ranks second at 2.79, followed by Koke (Metronome) at 2.51. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
Edu Expósito
23 games · Spain
Pablo Fornals
28 games · Spain
Koke
24 games · Spain
Full La Liga Midfielders Rankings
| # | Player | Style | KP/90 | Goals/90 | TW/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Edu Expósito | Box-to-Box | 2.85 | 0.00 | 1.04 | 23 | Similar → |
| 2 | Pablo Fornals | Creator | 2.73 | 0.26 | 0.94 | 28 | Similar → |
| 3 | Koke | Metronome | 1.39 | 0.09 | 1.16 | 24 | Similar → |
| 4 | Luis Milla | Box-to-Box | 2.30 | 0.00 | 0.79 | 23 | Similar → |
| 5 | Federico Valverde | Metronome | 1.46 | 0.17 | 0.89 | 21 | Similar → |
| 6 | Iñigo Ruiz de Galarreta | Ball-Winner | 1.17 | 0.04 | 1.30 | 23 | Similar → |
| 7 | Pepelu | Ball-Winner | 0.86 | 0.09 | 1.32 | 23 | Similar → |
| 8 | Aurélien Tchouaméni | Metronome | 0.87 | 0.04 | 1.40 | 19 | Similar → |
| 9 | Lucien Agoumé | Ball-Winner | 0.98 | 0.04 | 1.20 | 20 | Similar → |
| 10 | Mikel Jauregizar | Box-to-Box | 0.90 | 0.07 | 1.52 | 26 | Similar → |
| 11 | Sergi Darder | Creator | 2.04 | 0.04 | 0.38 | 24 | Similar → |
| 12 | Carlos Soler | Creator | 1.87 | 0.18 | 0.78 | 24 | Similar → |
| 13 | Antonio Blanco | Ball-Winner | 0.69 | 0.06 | 1.72 | 25 | Similar → |
| 14 | Pablo Barrios | Metronome | 1.08 | 0.05 | 0.85 | 21 | Similar → |
| 15 | Carles Aleñá | Box-to-Box | 1.65 | 0.00 | 1.18 | 26 | Similar → |
| 16 | Jon Moncayola | Midfielder | 1.12 | 0.00 | 0.75 | 17 | Similar → |
| 17 | Aleix Febas | Metronome | 0.78 | 0.06 | 1.16 | 25 | Similar → |
| 18 | Jon Gorrotxategi | Box-to-Box | 0.75 | 0.04 | 1.25 | 23 | Similar → |
| 19 | Santi Comesaña | Box-to-Box | 0.99 | 0.12 | 0.95 | 22 | Similar → |
| 20 | Santiago Colombatto | Box-to-Box | 1.12 | 0.00 | 0.84 | 20 | Similar → |
| 21 | Alberto Reina | Creator | 1.38 | 0.16 | 0.66 | 23 | Similar → |
| 22 | Marc Roca | Balanced Midfielder | 0.84 | 0.05 | 1.38 | 22 | Similar → |
| 23 | Pablo Ibáñez | Ball-Winner | 0.77 | 0.04 | 1.20 | 27 | Similar → |
| 24 | Omar Mascarell | Box-to-Box | 0.33 | 0.08 | 1.21 | 19 | Similar → |
| 25 | Iván Martín | Box-to-Box | 0.74 | 0.00 | 1.59 | 22 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Frequently Asked Questions
Who is the best midfielder in the La Liga right now?
Based on per-90 data in 2025/26, Edu Expósito is the top-ranked midfielder in the La Liga. Edu Expósito is classified as a Box-to-Box by Rising Transfers' DNA analysis system.
How are La Liga midfielders ranked on Rising Transfers?
Rising Transfers ranks midfielders using a composite per-90 score across key performance dimensions specific to the position. All statistics are normalised per 90 minutes of play to allow fair comparison between players with different minutes. Only players with 1,350+ minutes (equivalent to approximately 15 full matches) are included to ensure statistical reliability.
What does the DNA archetype mean for midfielders?
Each player is assigned a DNA archetype (e.g. Creator, Ball-Winner, Pressing Forward) based on their playing style vector — a 768-dimensional representation of their per-90 performance across 47 metrics. The archetype describes how the player plays, not just their position.
How often is the La Liga midfielder ranking updated?
Rankings are recalculated weekly as new match data is processed into Rising Transfers' DNA pipeline. The underlying per-90 statistics are sourced from live match data across the La Liga season.
Midfielders Rankings in Other Leagues
Other Positions in the La Liga
Rankings are generated by Rising Transfers using per-90 statistics from the 2025/26 La Liga season. Only players with 1,350+ minutes in the current season are included to ensure statistical reliability. Scores are computed using a position-specific composite formula across 47 performance dimensions. Data is refreshed weekly. Learn more about our methodology →
Some players may be excluded due to data availability (e.g. mid-season transfers, injury absences, or cup-only appearances). Rankings reflect on-pitch statistical performance and do not account for team defensive structure or shot quality — elite players on dominant teams may rank lower on volume-based metrics.