Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 La Liga forwards in 2025/26, Kylian Mbappé leads the ranking as a Dynamic Forward with a composite score of 1.04. Raphinha (Inside Forward) ranks second at 0.95, followed by Robert Lewandowski (Poacher) at 0.80. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
31 games · France
22 games · Brazil
| # | Player | Style | Goals/90 | Ast/90 | Shots/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Kylian Mbappé | Dynamic Forward | 0.86 | 0.17 | 5.04 | 31 | Similar → |
| 2 | Raphinha | Inside Forward | 0.84 | 0.19 | 4.21 | 22 | Similar → |
| 3 | Robert Lewandowski | Poacher | 0.76 | 0.11 | 3.42 | 31 | Similar → |
| 4 | Marcus Rashford | Inside Forward | 0.41 | 0.41 | 3.88 | 32 | Similar → |
| 5 | Ferran Torres | Poacher | 0.73 | 0.09 | 3.15 | 33 | Similar → |
| 6 | Vedat Muriqi | Target Man | 0.66 | 0.03 | 3.33 | 37 | Similar → |
| 7 | Georges Mikautadze | Poacher | 0.58 | 0.27 | 2.80 | 31 | Similar → |
| 8 | Vinicius Junior | Inside Forward | 0.51 | 0.16 | 3.22 | 36 | Similar → |
| 9 | Abde Ezzalzouli | Inside Forward | 0.40 | 0.32 | 2.92 | 29 | Similar → |
| 10 | Alexander Sørloth | Target Man | 0.55 | 0.00 | 3.15 | 33 | Similar → |
| 11 | Borja Iglesias | Poacher | 0.66 | 0.10 | 2.18 | 35 | Similar → |
| 12 | Ante Budimir | Target Man | 0.53 | 0.00 | 3.21 | 36 | Similar → |
| 13 | Kike García | Target Man | 0.46 | 0.06 | 3.28 | 35 | Similar → |
| 14 | Lucas Boyé | Poacher | 0.53 | 0.05 | 2.89 | 28 | Similar → |
| 15 | Toni Martínez | Target Man | 0.47 | 0.07 | 3.08 | 36 | Similar → |
| 16 | Rafa Mir | Complete Forward | 0.41 | 0.00 | 3.53 | 26 | Similar → |
| 17 | Mikel Oyarzabal | Complete Forward | 0.48 | 0.14 | 2.61 | 24 | Similar → |
| 18 | Ferran Jutglà | Inside Forward | 0.49 | 0.16 | 2.44 | 30 | Similar → |
| 19 | Gorka Guruzeta | Target Man | 0.38 | 0.11 | 3.19 | 35 | Similar → |
| 20 | Antony | Inside Forward | 0.29 | 0.22 | 3.29 | 32 | Similar → |
| 21 | Akor Adams | Target Man | 0.41 | 0.18 | 2.74 | 31 | Similar → |
| 22 | Cucho Hernández | Complete Forward | 0.38 | 0.10 | 3.07 | 32 | Similar → |
| 23 | Julián Alvarez | Complete Forward | 0.38 | 0.19 | 2.59 | 28 | Similar → |
| 24 | André Silva | Complete Forward | 0.44 | 0.00 | 2.69 | 30 | Similar → |
| 25 | Nicolas Pépé | Inside Forward | 0.31 | 0.31 | 2.30 | 35 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Kylian Mbappé is the top-ranked forward in the La Liga. Kylian Mbappé is classified as a Dynamic Forward by Rising Transfers' DNA analysis system.
Rising Transfers ranks forwards 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.
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.
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.
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.
