Per-90 performance rankings · Rising Transfers DNA Analysis · 20 players ranked
Based on per-90 statistics across 20 Serie A goalkeepers in 2025/26, Jean Butez leads the ranking as a Sweeper-Keeper with a composite score of 0.62. Mile Svilar (Reliable Keeper) ranks second at 0.60, followed by Edoardo Corvi (Traditional Keeper) at 0.56. All rankings are calculated using Rising Transfers' 47-dimension per-90 analysis methodology.
Methodology: Per-90 stats explained · DNA matching
27 games · France
25 games · Serbia
| # | Player | Style | Clean Sheets | Save % | GC/90 | Games | |
|---|---|---|---|---|---|---|---|
| 1 | Jean Butez | Sweeper-Keeper | 17/32 (53%) | 75% | 0.76 | 27 | Similar → |
| 2 | Mile Svilar | Reliable Keeper | 14/29 (48%) | 77% | 0.82 | 25 | Similar → |
| 3 | Edoardo Corvi | Traditional Keeper | 6/13 (46%) | 71% | 1.06 | 17 | Similar → |
| 4 | Ivan Provedel | Traditional Keeper | 7/17 (41%) | 78% | 0.96 | 26 | Similar → |
| 5 | Yann Sommer | Traditional Keeper | 11/26 (42%) | 69% | 0.91 | 23 | Similar → |
| 6 | Mike Maignan | Traditional Keeper | 13/36 (36%) | 75% | 0.96 | 37 | Similar → |
| 7 | Emil Audero | Sweeper-Keeper | 10/26 (38%) | 71% | 1.47 | 34 | Similar → |
| 8 | Michele Di Gregorio | Goalkeeper | 10/26 (38%) | 71% | 0.85 | 23 | Similar → |
| 9 | Maduka Okoye | Traditional Keeper | 8/23 (35%) | 72% | 1.10 | 30 | Similar → |
| 10 | David de Gea | Traditional Keeper | 10/29 (34%) | 71% | 1.32 | 25 | Similar → |
| 11 | Marco Carnesecchi | Traditional Keeper | 9/30 (30%) | 77% | 0.95 | 25 | Similar → |
| 12 | Alberto Paleari | Traditional Keeper | 8/25 (32%) | 65% | 1.55 | 29 | Similar → |
| 13 | Wladimiro Falcone | Traditional Keeper | 8/31 (26%) | 69% | 1.32 | 38 | Similar → |
| 14 | Vanja Milinković-Savić | Sweeper-Keeper | 5/20 (25%) | 69% | 0.93 | 18 | Similar → |
| 15 | Lorenzo Montipò | Traditional Keeper | 9/31 (29%) | 63% | 1.54 | 35 | Similar → |
| 16 | Zion Suzuki | Commanding Keeper | 4/18 (22%) | 70% | 1.40 | 20 | Similar → |
| 17 | Elia Caprile | Traditional Keeper | 6/32 (19%) | 70% | 1.40 | 38 | Similar → |
| 18 | Arijanet Murić | Commanding Keeper | 5/31 (16%) | 74% | 1.34 | 32 | Similar → |
| 19 | Nicola Leali | Traditional Keeper | 2/13 (15%) | 68% | 1.32 | 22 | Similar → |
| 20 | Adrian Semper | Traditional Keeper | 1/19 (5%) | 66% | 1.68 | 25 | Similar → |
KP = Key passes · TW = Tackles won · Int = Interceptions · Clr = Clearances · GC = Goals conceded
Based on per-90 data in 2025/26, Jean Butez is the top-ranked goalkeeper in the Serie A. Jean Butez is classified as a Sweeper-Keeper by Rising Transfers' DNA analysis system.
Goalkeepers are ranked using a clean sheet rate (60%) + save percentage (40%) formula. Clean sheet rate is calculated from actual match results this season — the number of games where the goalkeeper's team conceded zero goals divided by total games played. Save percentage is computed as saves/(saves + goals conceded) per 90 minutes. Only goalkeepers with 1,350+ minutes in the current season are included.
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.
