Best Goalkeepers in the Serie A (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Goalkeepers 2022-23
Our database tracked 49 Serie A Goalkeepers in the 2022-23 season, representing 20 clubs with a combined market value of €243.9M. The average market value for Serie A Goalkeepers was €5.0M, with the average age at 29.5 years old.
The most valuable goalkeeper in the Serie A was Mile Svilar, worth €35.0M and played for AS Roma at 26 years old. The top 5 Goalkeepers averaged €25.0M in market value, including Marco Carnesecchi and Mike Maignan.
Age distribution showed the youngest tracked goalkeeper was Lorenzo Torriani (21 years, AC Milan, €500K), while the oldest was Daniele Padelli (40 years, Udinese Calcio, €150K). Research shows Goalkeepers typically peak at age 29.
Historical analysis showed 19 Goalkeepers (39%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Serie A market for Goalkeepers remained actively developing with emerging talent in the 2022-23 season.
💡 Use the search bar below to find specific players, or apply filters to narrow results by club, age range, or market value. Click the chart icon next to any player to view their historical value trajectory and forecast.
Explore Market Size by Position in Serie A
Interactive bubble chart showing predicted 2-year growth vs current age for all Serie A Goalkeepers. Identify undervalued assets and track market momentum across 20 clubs with €243.9M combined value.
Age Distribution: Serie A Goalkeepers
The Serie A GK market shows 4 distinct age segments, with the largest cohort in the 30+ bracket (24 players, 49% of market). The 27-29 age group holds the most value at €83.6M, averaging €7.0M per player.
Top Goalkeepers by Age Bracket
21-23 Years (5 players)
24-26 Years (8 players)
27-29 Years (12 players)
30+ Years (24 players)
Market Value Distribution
Elite Tier Concentration
The top 5 Goalkeepers (10% of players) control €125.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 2% of the Serie A GK pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Serie A Goalkeepers
Among 20 Serie A clubs, AS Roma leads with 3 Goalkeepers worth €37.3M (averaging €12.4M per player). The top 10 clubs account for 61% of tracked Goalkeepers.
AS Roma (3 Goalkeepers)
SSC Napoli (3 Goalkeepers)
AC Milan (3 Goalkeepers)
Atalanta BC (2 Goalkeepers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Mile Svilar
AS Roma • 26 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
86.8
Marco Carnesecchi
Atalanta BC • 25 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
77.5
Mike Maignan
AC Milan • 30 years old
€26.4M
€25.0M
-5.4%
Expected: €22.5M
76.7
Zion Suzuki
Parma Calcio 1913 • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
74.3
Vanja Milinković-Savić
SSC Napoli • 29 years old
€17.3M
€20.0M
+15.6%
Expected: €20.6M
73.4
Michele Di Gregorio
Juventus FC • 28 years old
€15.6M
€18.0M
+15.6%
Expected: €17.6M
72.5
Alex Meret
SSC Napoli • 29 years old
€12.1M
€14.0M
+15.6%
Expected: €14.4M
68.8
Josep Martínez
Inter Milan • 28 years old
€7.8M
€9.0M
+15.6%
Expected: €8.8M
60.2
Maduka Okoye
Udinese Calcio • 26 years old
€6.9M
€8.0M
+15.6%
Expected: €8.6M
59.7
Arijanet Murić
US Sassuolo • 27 years old
€6.5M
€7.5M
+15.6%
Expected: €7.7M
58.3
Jean Butez
Como 1907 • 30 years old
€4.8M
€4.5M
-5.4%
Expected: €4.0M
51.2
David de Gea
ACF Fiorentina • 35 years old
€4.5M
€3.5M
-22.6%
Expected: €3.1M
50.1
Franco Israel
Torino FC • 26 years old
€3.3M
€3.8M
+15.6%
Expected: €4.1M
50.0
Justin Bijlow
Genoa CFC • 28 years old
€3.5M
€4.0M
+15.6%
Expected: €3.9M
49.7
Wladimiro Falcone
US Lecce • 31 years old
€4.5M
€3.5M
-22.6%
Expected: €3.1M
48.4
Adrian Semper
Pisa Sporting Club • 28 years old
€3.0M
€3.5M
+15.6%
Expected: €3.4M
48.0
Emil Audero
US Cremonese • 29 years old
€2.8M
€3.2M
+15.6%
Expected: €3.3M
46.3
Ivan Provedel
SS Lazio • 32 years old
€3.9M
€3.0M
-22.6%
Expected: €2.6M
43.5
Yann Sommer
Inter Milan • 37 years old
€3.2M
€2.5M
-22.6%
Expected: €2.2M
43.3
Stefano Turati
US Sassuolo • 24 years old
€2.6M
€3.0M
+15.6%
Expected: €3.3M
43.3
Scout Tools
Advanced analytics for scouting and recruitment decisions. Each tool provides unique insights into player value, potential, and market dynamics.
Pre-Peak Value Efficiency (PPVE)
Identifies pre-peak players offering exceptional value relative to their age bracket. Higher PPVE = better value.
Understanding Pre-Peak Value Efficiency (PPVE)
Parma Calcio 1913's Zion Suzuki at 23 years old has the highest Pre-Peak Value Efficiency at 33.33×. That means Zion Suzuki is valued 33.33× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Atalanta BC's Marco Carnesecchi, who is 25 years old, with a 8.33× PPVE. Third is Răzvan Sava of Udinese Calcio, who is 23 years old with a 4.17× PPVE.
How PPVE is calculated: PPVE compares a player's current market value to the median value of all players in their age bracket. A PPVE of 33.33× means the player is worth 3233% more than typical players their age—making them high-value targets before they reach peak value.
PPVE by Age Bracket
| Rank | Player | Age | Bracket | Current Value | Bracket Median | PPVE |
|---|---|---|---|---|---|---|
| #1 | Zion Suzuki Parma Calcio 1913 | 23 | 21-23 | €20.0M | €600K | 33.33× |
| #2 | Marco Carnesecchi Atalanta BC | 25 | 24-26 | €25.0M | €3.0M | 8.33× |
| #3 | Răzvan Sava Udinese Calcio | 23 | 21-23 | €2.5M | €600K | 4.17× |
| #4 | Stefano Turati US Sassuolo | 24 | 24-26 | €3.0M | €3.0M | 1.00× |
| #5 | Gioele Zacchi US Sassuolo | 22 | 21-23 | €600K | €600K | 1.00× |
| #6 | Lorenzo Torriani AC Milan | 21 | 21-23 | €500K | €600K | 0.83× |
| #7 | Filippo Rinaldi Parma Calcio 1913 | 23 | 21-23 | €300K | €600K | 0.50× |
| #8 | Edoardo Corvi Parma Calcio 1913 | 25 | 24-26 | €700K | €3.0M | 0.23× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Understanding Return-to-Peak Potential (RPP)
AC Milan's Lorenzo Torriani at 21 years old has the highest Return-to-Peak Potential at +44%. That means Lorenzo Torriani is projected to appreciate 44% as they reach their peak age in 5 years—representing significant upside before entering their prime.
In second is US Sassuolo's Gioele Zacchi, who is 22 years old, with a +40% RPP (4 years to peak). Third is Zion Suzuki of Parma Calcio 1913, who is 23 years old with a +35% RPP (3 years to peak).
How RPP is calculated: RPP compares a player's current market value to their forecasted peak value, calculating the percentage appreciation potential. A 44% RPP means the player is expected to gain 44% value as they enter their prime—making them excellent growth investments.
Recovery Potential by Player
| Rank | Player | Age | Years to Peak | Current | Peak Forecast | RPP % |
|---|---|---|---|---|---|---|
| #1 | Lorenzo Torriani AC Milan | 21 | 5 | €500K | €894K | +44% |
| #2 | Gioele Zacchi US Sassuolo | 22 | 4 | €600K | €997K | +40% |
| #3 | Zion Suzuki Parma Calcio 1913 | 23 | 3 | €20.0M | €30.9M | +35% |
| #4 | Răzvan Sava Udinese Calcio | 23 | 3 | €2.5M | €3.9M | +35% |
| #5 | Filippo Rinaldi Parma Calcio 1913 | 23 | 3 | €300K | €464K | +35% |
| #6 | Stefano Turati US Sassuolo | 24 | 2 | €3.0M | €4.3M | +30% |
| #7 | Edoardo Corvi Parma Calcio 1913 | 25 | 1 | €700K | €936K | +25% |
| #8 | Marco Carnesecchi Atalanta BC | 25 | 1 | €25.0M | €33.4M | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
AC Milan's Lorenzo Torriani has the highest Risk-Adjusted Upside at 103.3. That means Lorenzo Torriani has 23% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is US Sassuolo's Gioele Zacchi with a 100.1 RAU (19% upside, 0% uncertainty). Third is Filippo Rinaldi of Parma Calcio 1913 with a 79.9 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 103.3 means the upside is 103.3× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Lorenzo Torriani AC Milan | €617K | €561K-674K | +23% | 103.3 |
| #2 | Gioele Zacchi US Sassuolo | €714K | €657K-772K | +19% | 100.1 |
| #3 | Filippo Rinaldi Parma Calcio 1913 | €344K | €316K-371K | +15% | 79.9 |
| #4 | Zion Suzuki Parma Calcio 1913 | €22.9M | €21.1M-24.8M | +15% | 79.9 |
| #5 | Răzvan Sava Udinese Calcio | €2.9M | €2.6M-3.1M | +15% | 79.9 |
| #6 | Mile Svilar AS Roma | €39.0M | €35.9M-42.1M | +11% | 64.1 |
| #7 | Stefano Turati US Sassuolo | €3.3M | €3.0M-3.6M | +10% | 58.1 |
| #8 | Christian Früchtl US Lecce | €1.1M | €985K-1.2M | +7% | 41.2 |
| #9 | Maduka Okoye Udinese Calcio | €8.6M | €7.9M-9.3M | +7% | 41.2 |
| #10 | Federico Ravaglia Bologna FC 1909 | €2.1M | €2.0M-2.3M | +7% | 41.2 |
| #11 | Franco Israel Torino FC | €4.1M | €3.7M-4.4M | +7% | 41.2 |
| #12 | Marco Carnesecchi Atalanta BC | €26.5M | €24.3M-28.6M | +6% | 34.5 |
| #13 | Edoardo Corvi Parma Calcio 1913 | €741K | €682K-800K | +6% | 34.5 |
| #14 | Vanja Milinković-Savić SSC Napoli | €20.6M | €18.9M-22.2M | +3% | 18.0 |
| #15 | Alex Meret SSC Napoli | €14.4M | €13.3M-15.6M | +3% | 18.0 |
| #16 | Emil Audero US Cremonese | €3.3M | €3.0M-3.6M | +3% | 18.0 |
| #17 | Giacomo Satalino US Sassuolo | €410K | €377K-442K | +2% | 14.7 |
| #18 | Arijanet Murić US Sassuolo | €7.7M | €7.1M-8.3M | +2% | 14.7 |
| #19 | Oliver Christensen ACF Fiorentina | €1.5M | €1.4M-1.7M | +2% | 14.7 |
Roster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
What This Shows
Z-Score explained: Measures how many standard deviations a player's strength is from the position average. Z-Score = 0 means average, +1.0 is one standard deviation above average, -1.0 is below average.
How to use: RPI < -1.0 indicates critical depth shortage. These positions need immediate reinforcement. RPI > +1.0 suggests strong depth, allowing selective, high-value additions only.
Current market: goalkeeper position shows weak depth (avg Z-score: -0.00). RPI: -0.00.
Position Depth Analysis
Highest Z-Scores
Lowest Z-Scores
Age-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Understanding Age-Share Concentration (ASC)
Juventus FC's Mattia Perin in the 30+ age bracket has the highest Age-Share Concentration at +-25.3%. That means Mike Maignan captures 23.7% of total market value while representing only 49.0% of players in their age group—showing dominant elite status.
In second is Genoa CFC's Benjamin Siegrist with a +-25.3% ASC (23.7% value share vs 49.0% player share in 30+ bracket). Third is Luca Lezzerini of ACF Fiorentina with a +-25.3% ASC (23.7% value vs 49.0% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-25.3% ASC means the player captures -25.3% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.
Value Concentration by Player
| Rank | Player | Age Bracket | Value Share | Player Share | ASC |
|---|---|---|---|---|---|
| #1 | Mattia Perin Juventus FC | 30+ | 23.7% | 49.0% | -25.3% |
| #2 | Benjamin Siegrist Genoa CFC | 30+ | 23.7% | 49.0% | -25.3% |
| #3 | Luca Lezzerini ACF Fiorentina | 30+ | 23.7% | 49.0% | -25.3% |
| #4 | Nicola Leali Genoa CFC | 30+ | 23.7% | 49.0% | -25.3% |
| #5 | Alberto Paleari Torino FC | 30+ | 23.7% | 49.0% | -25.3% |
| #6 | Mike Maignan AC Milan | 30+ | 23.7% | 49.0% | -25.3% |
| #7 | Ivan Provedel SS Lazio | 30+ | 23.7% | 49.0% | -25.3% |
| #8 | Marco Sportiello Atalanta BC | 30+ | 23.7% | 49.0% | -25.3% |
| #9 | Wladimiro Falcone US Lecce | 30+ | 23.7% | 49.0% | -25.3% |
| #10 | Simone Scuffet Pisa Sporting Club | 30+ | 23.7% | 49.0% | -25.3% |
| #11 | Simone Perilli Hellas Verona | 30+ | 23.7% | 49.0% | -25.3% |
| #12 | Lorenzo Montipò Hellas Verona | 30+ | 23.7% | 49.0% | -25.3% |
| #13 | Pierluigi Gollini AS Roma | 30+ | 23.7% | 49.0% | -25.3% |
| #14 | Nikita Contini SSC Napoli | 30+ | 23.7% | 49.0% | -25.3% |
| #15 | Daniele Padelli Udinese Calcio | 30+ | 23.7% | 49.0% | -25.3% |
| #16 | Jean Butez Como 1907 | 30+ | 23.7% | 49.0% | -25.3% |
| #17 | Yann Sommer Inter Milan | 30+ | 23.7% | 49.0% | -25.3% |
| #18 | David de Gea ACF Fiorentina | 30+ | 23.7% | 49.0% | -25.3% |
| #19 | Raffaele Di Gennaro Inter Milan | 30+ | 23.7% | 49.0% | -25.3% |
| #20 | Carlo Pinsoglio Juventus FC | 30+ | 23.7% | 49.0% | -25.3% |
Buy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
What This Shows
How to use: "Buy Now - High Upside" = immediate priority targets. "Watch List" = monitor for 6-12 months. "Peak" = pay premium for proven performers. "Aging" = short-term depth only.
Current market: 2 immediate targets, 6 standard acquisitions, 0 watch-list prospects, 14 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
Price vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
What This Shows
How to use: Z-score < -1.5 = significantly undervalued (potential bargain). Z-score > +1.5 = premium pricing (requires strong justification). Within ±1.0 = fair market value.
Current market: Position median is €800K. 0 undervalued, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Michele Di Gregorio Juventus FC | €18.0M | €2.0M | -1.00 | Good Value |
Edoardo Corvi Parma Calcio 1913 | €700K | €2.0M | -0.65 | Good Value |
Christian Früchtl US Lecce | €1.0M | €2.0M | -0.50 | Fair Value |
Giacomo Satalino US Sassuolo | €400K | €2.0M | -0.44 | Fair Value |
Daniele Padelli Udinese Calcio | €150K | €2.0M | -0.40 | Fair Value |
Mauro Vigorito Como 1907 | €150K | €2.0M | -0.40 | Fair Value |
Carlo Pinsoglio Juventus FC | €200K | €2.0M | -0.38 | Fair Value |
Raffaele Di Gennaro Inter Milan | €300K | €2.0M | -0.33 | Fair Value |
Luca Lezzerini ACF Fiorentina | €350K | €2.0M | -0.31 | Fair Value |
Simone Perilli Hellas Verona | €400K | €2.0M | -0.29 | Fair Value |
Nikita Contini SSC Napoli | €400K | €2.0M | -0.29 | Fair Value |
Marco Silvestri US Cremonese | €500K | €2.0M | -0.24 | Fair Value |
Arijanet Murić US Sassuolo | €7.5M | €2.0M | -0.23 | Fair Value |
Alen Sherri Cagliari Calcio | €1.0M | €2.0M | -0.20 | Fair Value |
Benjamin Siegrist Genoa CFC | €600K | €2.0M | -0.19 | Fair Value |
Filippo Rinaldi Parma Calcio 1913 | €300K | €2.0M | -0.15 | Fair Value |
Pierluigi Gollini AS Roma | €800K | €2.0M | -0.10 | Fair Value |
Lorenzo Torriani AC Milan | €500K | €2.0M | -0.05 | Fair Value |
Alberto Paleari Torino FC | €1.0M | €2.0M | 0.00 | Fair Value |
Mike Maignan AC Milan | €25.0M | €2.0M | 0.00 | Fair Value |