Per-90 performance rankings · Rising Transfers DNA Analysis · 25 players ranked
Based on per-90 statistics across 25 Serie A defenders in 2025/26, Victor Nelsson leads the ranking as a Physical Stopper with a composite score of 0.72. Giorgio Scalvini (Ball-Playing CB) ranks second at 0.71, followed by Amir Rrahmani (Ball-Playing CB) at 0.71. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
38 games · Denmark
24 games · Italy
| # | Player | Style | TW/90 | Int/90 | Clr/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Victor Nelsson | Physical Stopper | 0.86 | 1.87 | 7.08 | 38 | Similar → |
| 2 | Giorgio Scalvini | Ball-Playing CB | 1.21 | 2.13 | 3.61 | 24 | Similar → |
| 3 | Amir Rrahmani | Ball-Playing CB | 0.86 | 1.20 | 3.55 | 21 | Similar → |
| 4 | Ardian Ismajli | Ball-Playing CB | 0.68 | 1.60 | 7.55 | 25 | Similar → |
| 5 | Tarik Muharemović | Ball-Playing CB | 0.73 | 1.43 | 7.04 | 32 | Similar → |
| 6 | Leo Østigård | Ball-Playing CB | 0.95 | 1.03 | 7.49 | 29 | Similar → |
| 7 | Francesco Acerbi | Ball-Playing CB | 0.74 | 1.18 | 5.94 | 18 | Similar → |
| 8 | Carlos Augusto | Active Full-Back | 1.29 | 0.92 | 3.23 | 34 | Similar → |
| 9 | Oumar Solet | Ball-Playing CB | 1.46 | 1.49 | 3.80 | 35 | Similar → |
| 10 | Alessandro Bastoni | Ball-Playing CB | 1.52 | 0.96 | 3.20 | 22 | Similar → |
| 11 | Evan Ndicka | Ball-Playing CB | 0.54 | 1.64 | 4.63 | 20 | Similar → |
| 12 | Berat Djimsiti | Ball-Playing CB | 0.93 | 1.57 | 5.52 | 22 | Similar → |
| 13 | Alessandro Circati | Ball-Playing CB | 0.72 | 0.91 | 5.06 | 31 | Similar → |
| 14 | Matteo Bianchetti | Ball-Playing CB | 1.28 | 0.82 | 5.73 | 27 | Similar → |
| 15 | Mario Hermoso | Reading Defender | 0.92 | 1.29 | 3.39 | 18 | Similar → |
| 16 | Gianluca Mancini | Ball-Playing CB | 0.83 | 1.44 | 3.70 | 24 | Similar → |
| 17 | Alessandro Buongiorno | Reading Defender | 0.93 | 1.43 | 4.03 | 21 | Similar → |
| 18 | Mario Gila | Ball-Playing CB | 1.37 | 0.98 | 3.87 | 18 | Similar → |
| 19 | Luca Ranieri | Ball-Playing CB | 1.02 | 0.87 | 4.62 | 25 | Similar → |
| 20 | Filippo Terracciano | Ball-Playing CB | 0.49 | 1.67 | 3.50 | 36 | Similar → |
| 21 | Thomas Kristensen | Ball-Playing CB | 0.53 | 0.94 | 7.20 | 28 | Similar → |
| 22 | Lautaro Valenti | Physical Stopper | 1.24 | 1.04 | 5.76 | 27 | Similar → |
| 23 | Juan Miranda | Defender | 0.85 | 1.26 | 2.59 | 21 | Similar → |
| 24 | Alessio Romagnoli | Ball-Playing CB | 0.55 | 1.11 | 4.52 | 19 | Similar → |
| 25 | Christian Kabasele | Physical Stopper | 0.33 | 1.44 | 6.26 | 30 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Victor Nelsson is the top-ranked defender in the Serie A. Victor Nelsson is classified as a Physical Stopper by Rising Transfers' DNA analysis system.
Rising Transfers ranks defenders 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.
