Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 Ligue 1 forwards in 2025/26, Mason Greenwood leads the ranking as a Inside Forward with a composite score of 0.83. Khvicha Kvaratskhelia (Inside Forward) ranks second at 0.75, followed by Estéban Lepaul (Poacher) at 0.74. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
32 games · England
28 games · Georgia
| # | Player | Style | Goals/90 | Ast/90 | Shots/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Mason Greenwood | Inside Forward | 0.58 | 0.26 | 4.19 | 32 | Similar → |
| 2 | Khvicha Kvaratskhelia | Inside Forward | 0.49 | 0.24 | 3.94 | 28 | Similar → |
| 3 | Estéban Lepaul | Poacher | 0.70 | 0.18 | 2.95 | 32 | Similar → |
| 4 | Odsonne Édouard | Poacher | 0.62 | 0.15 | 3.04 | 28 | Similar → |
| 5 | Bradley Barcola | Inside Forward | 0.57 | 0.05 | 3.45 | 29 | Similar → |
| 6 | Pablo Pagis | Inside Forward | 0.50 | 0.25 | 2.97 | 28 | Similar → |
| 7 | Folarin Balogun | Poacher | 0.52 | 0.16 | 3.09 | 30 | Similar → |
| 8 | Wesley Saïd | Complete Forward | 0.56 | 0.09 | 2.71 | 28 | Similar → |
| 9 | Pierre-Emerick Aubameyang | Complete Forward | 0.44 | 0.22 | 2.64 | 30 | Similar → |
| 10 | Lassine Sinayoko | Complete Forward | 0.42 | 0.13 | 2.98 | 32 | Similar → |
| 11 | Florian Thauvin | Inside Forward | 0.41 | 0.23 | 2.63 | 32 | Similar → |
| 12 | Ludovic Blas | Complete Forward | 0.29 | 0.23 | 2.74 | 32 | Similar → |
| 13 | Igor Paixão | Inside Forward | 0.27 | 0.23 | 2.60 | 30 | Similar → |
| 14 | Breel Embolo | Complete Forward | 0.43 | 0.14 | 2.01 | 31 | Similar → |
| 15 | Mousa Tamari | Inside Forward | 0.24 | 0.24 | 2.59 | 33 | Similar → |
| 16 | Olivier Giroud | Target Man | 0.41 | 0.06 | 2.28 | 29 | Similar → |
| 17 | Matthis Abline | Complete Forward | 0.21 | 0.14 | 3.04 | 33 | Similar → |
| 18 | Ilan Kebbal | Inside Forward | 0.36 | 0.16 | 2.02 | 29 | Similar → |
| 19 | Sofiane Diop | Inside Forward | 0.34 | 0.13 | 2.27 | 33 | Similar → |
| 20 | Gauthier Hein | Inside Forward | 0.31 | 0.27 | 1.68 | 29 | Similar → |
| 21 | Issa Soumaré | Complete Forward | 0.25 | 0.16 | 2.36 | 33 | Similar → |
| 22 | Ludovic Ajorque | Target Man | 0.26 | 0.29 | 1.78 | 32 | Similar → |
| 23 | Yann Gboho | Dynamic Forward | 0.27 | 0.17 | 1.98 | 32 | Similar → |
| 24 | Maghnes Akliouche | Link-up Striker | 0.22 | 0.22 | 1.79 | 31 | Similar → |
| 25 | Mohamed-Ali Cho | Forward | 0.21 | 0.16 | 1.65 | 24 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Mason Greenwood is the top-ranked forward in the Ligue 1. Mason Greenwood is classified as a Inside 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 Ligue 1 season.
Rankings are generated by Rising Transfers using per-90 statistics from the 2025/26 Ligue 1 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.
