Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 Serie A forwards in 2025/26, Lautaro Martínez leads the ranking as a Poacher with a composite score of 0.85. Moise Kean (Complete Forward) ranks second at 0.64, followed by Christian Pulisic (Inside Forward) at 0.63. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
25 games · Argentina
26 games · Italy
| # | Player | Style | Goals/90 | Ast/90 | Shots/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Lautaro Martínez | Poacher | 0.70 | 0.25 | 3.80 | 25 | Similar → |
| 2 | Moise Kean | Complete Forward | 0.35 | 0.04 | 4.32 | 26 | Similar → |
| 3 | Christian Pulisic | Inside Forward | 0.45 | 0.22 | 3.02 | 30 | Similar → |
| 4 | Riccardo Orsolini | Attacker | 0.42 | 0.04 | 3.47 | 27 | Similar → |
| 5 | Rafael Leão | Inside Forward | 0.43 | 0.14 | 3.03 | 29 | Similar → |
| 6 | Anastasios Douvikas | Poacher | 0.55 | 0.04 | 2.61 | 38 | Similar → |
| 7 | Giovanni Simeone | Complete Forward | 0.44 | 0.00 | 3.17 | 32 | Similar → |
| 8 | Paulo Dybala | Link-up Striker | 0.13 | 0.47 | 2.85 | 22 | Similar → |
| 9 | Christopher Nkunku | Complete Forward | 0.47 | 0.20 | 1.93 | 32 | Similar → |
| 10 | Keinan Davis | Target Man | 0.43 | 0.17 | 2.16 | 30 | Similar → |
| 11 | Federico Bonazzoli | Complete Forward | 0.36 | 0.07 | 2.67 | 35 | Similar → |
| 12 | Armand Laurienté | Complete Forward | 0.24 | 0.31 | 2.44 | 38 | Similar → |
| 13 | Rasmus Højlund | Goal Scorer | 0.39 | 0.16 | 1.96 | 21 | Similar → |
| 14 | Andrea Pinamonti | Complete Forward | 0.32 | 0.10 | 2.52 | 36 | Similar → |
| 15 | Domenico Berardi | Inside Forward | 0.36 | 0.18 | 1.83 | 26 | Similar → |
| 16 | Jonathan David | Complete Forward | 0.30 | 0.20 | 2.07 | 35 | Similar → |
| 17 | Gustav Isaksen | Inside Forward | 0.30 | 0.00 | 2.80 | 29 | Similar → |
| 18 | Ché Adams | Complete Forward | 0.28 | 0.10 | 2.52 | 33 | Similar → |
| 19 | Matías Soulé | Attacker | 0.25 | 0.21 | 2.17 | 25 | Similar → |
| 20 | Lorenzo Colombo | Target Man | 0.28 | 0.04 | 2.54 | 37 | Similar → |
| 21 | Lameck Banda | Complete Forward | 0.26 | 0.20 | 1.94 | 32 | Similar → |
| 22 | Sebastiano Esposito | Forward | 0.23 | 0.17 | 1.90 | 36 | Similar → |
| 23 | Matteo Cancellieri | Forward | 0.21 | 0.10 | 2.15 | 29 | Similar → |
| 24 | Vitinha | Target Man | 0.17 | 0.04 | 2.54 | 34 | Similar → |
| 25 | Albert Gudmundsson | Complete Forward | 0.20 | 0.16 | 1.63 | 25 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Lautaro Martínez is the top-ranked forward in the Serie A. Lautaro Martínez is classified as a Poacher 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 Serie A season.
Rankings are generated by Rising Transfers using per-90 statistics from the 2025/26 Serie A 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.
