Best Goalkeepers in the Serie A (Aug 2026)
Ranked by Analytical Strength Index
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.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Mile Svilar
Associazione Sportiva Roma • 27 years old
€30.3M
€35.0M
+15.6%
Expected: €35.9M
86.8
Marco Carnesecchi
Atalanta BC • 26 years old
€25.9M
€30.0M
+15.6%
Expected: €28.0M
80.0
Zion Suzuki
Parma Calcio 1913 • 24 years old
€17.3M
€20.0M
+15.6%
Expected: €19.4M
74.5
Vanja Milinković-Savić
SSC Napoli • 29 years old
€17.3M
€20.0M
+15.6%
Expected: €19.0M
73.9
Mike Maignan
AC Milan • 31 years old
€21.1M
€20.0M
-5.4%
Expected: €16.8M
73.8
Elia Caprile
Cagliari Calcio • 25 years old
€13.0M
€15.0M
+15.6%
Expected: €14.6M
70.9
Maduka Okoye
Udinese Calcio • 27 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
62.5
Josep Martínez
Inter Milan • 28 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
62.1
Michele Di Gregorio
Juventus FC • 29 years old
€8.6M
€10.0M
+15.6%
Expected: €9.5M
61.6
Christos Mandas
Società Sportiva Lazio S.p.A. • 24 years old
€6.9M
€8.0M
+15.6%
Expected: €7.8M
59.3
Edoardo Motta
Società Sportiva Lazio S.p.A. • 21 years old
€6.9M
€8.0M
+15.6%
Expected: €8.1M
59.0
Arijanet Murić
US Sassuolo • 27 years old
€6.5M
€7.5M
+15.6%
Expected: €7.7M
58.8
Alex Meret
SSC Napoli • 29 years old
€6.9M
€8.0M
+15.6%
Expected: €7.6M
58.7
Jean Butez
Como 1907 • 31 years old
€8.5M
€8.0M
-5.4%
Expected: €6.7M
58.6
Filip Stanković
Venezia FC • 24 years old
€4.3M
€5.0M
+15.6%
Expected: €4.9M
53.2
David de Gea
ACF Fiorentina • 35 years old
€4.5M
€3.5M
-22.6%
Expected: €1.7M
49.7
Massimo Pessina
Bologna Football Club 1909 • 18 years old
€3.0M
€3.5M
+15.6%
Expected: €4.1M
48.0
Wladimiro Falcone
US Lecce • 31 years old
€3.7M
€3.5M
-5.4%
Expected: €2.9M
47.9
Stefano Turati
US Sassuolo • 24 years old
€2.6M
€3.0M
+15.6%
Expected: €2.9M
43.3
Ivan Provedel
Società Sportiva Lazio S.p.A. • 32 years old
€3.9M
€3.0M
-22.6%
Expected: €1.8M
43.0
If you were Serie A's sporting director, who would you sign?
Pick a club, select up to 3 players, and build your transfer proposal.
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 34 clubs with €312.5M combined value.
Age Distribution: Serie A Goalkeepers
The Serie A GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (68 players, 40% of market). The 27-29 age group holds the most value at €115.2M, averaging €3.7M per player.
Top Goalkeepers by Age Bracket
U21 Years (11 players)
21-23 Years (22 players)
24-26 Years (37 players)
27-29 Years (31 players)
Market Value Distribution
Elite Tier Concentration
The top 17 Goalkeepers (10% of players) control €221.5M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 1% of the Serie A GK pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Serie A Goalkeepers
Among 34 Serie A clubs, Associazione Sportiva Roma leads with 9 Goalkeepers worth €38.3M (averaging €4.3M per player). The top 10 clubs account for 47% of tracked Goalkeepers.
Associazione Sportiva Roma (9 Goalkeepers)
Atalanta BC (7 Goalkeepers)
SSC Napoli (6 Goalkeepers)
AC Milan (10 Goalkeepers)
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 24 years old has the highest Pre-Peak Value Efficiency at 57.14×. That means Zion Suzuki is valued 57.14× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Cagliari Calcio's Elia Caprile, who is 25 years old, with a 42.86× PPVE. Third is Edoardo Motta of Società Sportiva Lazio S.p.A., who is 21 years old with a 32.00× 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 57.14× means the player is worth 5614% 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 | 24 | 24-26 | €20.0M | €350K | 57.14× |
| #2 | Elia Caprile Cagliari Calcio | 25 | 24-26 | €15.0M | €350K | 42.86× |
| #3 | Edoardo Motta Società Sportiva Lazio S.p.A. | 21 | 21-23 | €8.0M | €250K | 32.00× |
| #4 | Christos Mandas Società Sportiva Lazio S.p.A. | 24 | 24-26 | €8.0M | €350K | 22.86× |
| #5 | Filip Stanković Venezia FC | 24 | 24-26 | €5.0M | €350K | 14.29× |
| #6 | Stefano Turati US Sassuolo | 24 | 24-26 | €3.0M | €350K | 8.57× |
| #7 | Răzvan Sava Udinese Calcio | 24 | 24-26 | €2.5M | €350K | 7.14× |
| #8 | Massimo Pessina Bologna Football Club 1909 | 18 | U21 | €3.5M | €500K | 7.00× |
| #9 | Noel Törnqvist Como 1907 | 24 | 24-26 | €2.0M | €350K | 5.71× |
| #10 | Sebastiano Desplanches AC Milan | 23 | 21-23 | €1.3M | €250K | 5.20× |
| #11 | Edoardo Corvi Parma Calcio 1913 | 25 | 24-26 | €1.5M | €350K | 4.29× |
| #12 | Tommaso Martinelli ACF Fiorentina | 20 | U21 | €2.0M | €500K | 4.00× |
| #13 | Paolo Vismara Atalanta BC | 23 | 21-23 | €900K | €250K | 3.60× |
| #14 | Alessandro Nunziante Udinese Calcio | 19 | U21 | €1.8M | €500K | 3.60× |
| #15 | Lorenzo Torriani AC Milan | 21 | 21-23 | €800K | €250K | 3.20× |
| #16 | Henrique Menke Como 1907 | 19 | U21 | €1.5M | €500K | 3.00× |
| #17 | Mihai Popa Torino FC | 25 | 24-26 | €1.0M | €350K | 2.86× |
| #18 | Filippo Rinaldi Parma Calcio 1913 | 23 | 21-23 | €600K | €250K | 2.40× |
| #19 | Gioele Zacchi US Sassuolo | 23 | 21-23 | €600K | €250K | 2.40× |
| #20 | Giovanni Daffara Juventus FC | 21 | 21-23 | €600K | €250K | 2.40× |
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)
Bologna Football Club 1909's Massimo Pessina at 18 years old has the highest Return-to-Peak Potential at +58%. That means Massimo Pessina is projected to appreciate 58% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Udinese Calcio's Alessandro Nunziante, who is 19 years old, with a +55% RPP (7 years to peak). Third is Radoslaw Zelezny of Associazione Sportiva Roma, who is 19 years old with a +55% RPP (7 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 58% RPP means the player is expected to gain 58% 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 | Massimo Pessina Bologna Football Club 1909 | 18 | 8 | €3.5M | €8.4M | +58% |
| #2 | Alessandro Nunziante Udinese Calcio | 19 | 7 | €1.8M | €4.0M | +55% |
| #3 | Radoslaw Zelezny Associazione Sportiva Roma | 19 | 7 | €200K | €444K | +55% |
| #4 | Mathias Ferrante SSC Napoli | 19 | 7 | €200K | €444K | +55% |
| #5 | Henrique Menke Como 1907 | 19 | 7 | €1.5M | €3.3M | +55% |
| #6 | Ernestas Lysionok Genoa CFC | 19 | 7 | €600K | €1.3M | +55% |
| #7 | Lapo Siviero Torino FC | 19 | 7 | €500K | €1.1M | +55% |
| #8 | Tommaso Vannucchi ACF Fiorentina | 19 | 7 | €400K | €889K | +55% |
| #9 | Tommaso Martinelli ACF Fiorentina | 20 | 6 | €2.0M | €4.1M | +52% |
| #10 | Pietro Leonardelli ACF Fiorentina | 20 | 6 | €125K | €258K | +52% |
| #11 | Francesco Plaia Torino FC | 20 | 6 | €200K | €413K | +52% |
| #12 | Claudio Turi SSC Napoli | 21 | 5 | €150K | €288K | +48% |
| #13 | Alessandro Calligaris Inter Milan | 21 | 5 | €400K | €769K | +48% |
| #14 | Giovanni Daffara Juventus FC | 21 | 5 | €600K | €1.2M | +48% |
| #15 | Federico Magro Hellas Verona | 21 | 5 | €300K | €576K | +48% |
| #16 | Simone Calvani Genoa CFC | 21 | 5 | €150K | €288K | +48% |
| #17 | Edoardo Motta Società Sportiva Lazio S.p.A. | 21 | 5 | €8.0M | €15.4M | +48% |
| #18 | Velizar-Iliya Iliev Cagliari Calcio | 21 | 5 | €250K | €480K | +48% |
| #19 | Jacopo Seghetti FC Empoli | 21 | 5 | €150K | €288K | +48% |
| #20 | Lorenzo Torriani AC Milan | 21 | 5 | €800K | €1.5M | +48% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
ACF Fiorentina's Tommaso Martinelli has the highest Risk-Adjusted Upside at 76.5. That means Tommaso Martinelli has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is ACF Fiorentina's Pietro Leonardelli with a 76.5 RAU (16% upside, 0% uncertainty). Third is Lapo Siviero of Torino FC with a 76.5 RAU (16% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 76.5 means the upside is 76.5× 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 | Tommaso Martinelli ACF Fiorentina | €2.3M | €2.1M-2.5M | +16% | 76.5 |
| #2 | Pietro Leonardelli ACF Fiorentina | €145K | €132K-159K | +16% | 76.5 |
| #3 | Lapo Siviero Torino FC | €582K | €528K-635K | +16% | 76.5 |
| #4 | Ernestas Lysionok Genoa CFC | €698K | €634K-762K | +16% | 76.5 |
| #5 | Massimo Pessina Bologna Football Club 1909 | €4.1M | €3.7M-4.4M | +16% | 76.5 |
| #6 | Alessandro Nunziante Udinese Calcio | €2.1M | €1.9M-2.3M | +16% | 76.5 |
| #7 | Henrique Menke Como 1907 | €1.7M | €1.6M-1.9M | +16% | 76.5 |
| #8 | Radoslaw Zelezny Associazione Sportiva Roma | €233K | €211K-254K | +16% | 76.5 |
| #9 | Mathias Ferrante SSC Napoli | €233K | €211K-254K | +16% | 76.5 |
| #10 | Francesco Plaia Torino FC | €233K | €211K-254K | +16% | 76.5 |
| #11 | Tommaso Vannucchi ACF Fiorentina | €466K | €423K-508K | +16% | 76.5 |
| #12 | Mile Svilar Associazione Sportiva Roma | €35.9M | €33.1M-38.8M | +3% | 16.5 |
| #13 | Tommaso Cucchietti Torino FC | €154K | €141K-166K | +2% | 14.7 |
| #14 | Stefano Greco Associazione Sportiva Roma | €154K | €141K-166K | +2% | 14.7 |
| #15 | Aniello Viscovo FC Crotone | €154K | €141K-166K | +2% | 14.7 |
| #16 | Lorenzo Crisanto Associazione Sportiva Roma | €154K | €141K-166K | +2% | 14.7 |
| #17 | Leonardo Marson US Sassuolo | €307K | €283K-332K | +2% | 14.7 |
| #18 | Michele Cerofolini Frosinone Calcio | €717K | €660K-774K | +2% | 14.7 |
| #19 | Demba Thiam SPAL | €358K | €330K-387K | +2% | 14.7 |
| #20 | Alessandro Giacomel FC Empoli | €256K | €236K-277K | +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 strong 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)
SSC Napoli's Alex Meret in the 27-29 age bracket has the highest Age-Share Concentration at +18.5%. That means Mile Svilar captures 36.9% of total market value while representing only 18.3% of players in their age group-showing dominant elite status.
In second is US Cremonese's Emil Audero with a +18.5% ASC (36.9% value share vs 18.3% player share in 27-29 bracket). Third is Vanja Milinković-Savić of SSC Napoli with a +18.5% ASC (36.9% value vs 18.3% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +18.5% ASC means the player captures 18.5% 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 | Alex Meret SSC Napoli | 27-29 | 36.9% | 18.3% | +18.5% |
| #2 | Emil Audero US Cremonese | 27-29 | 36.9% | 18.3% | +18.5% |
| #3 | Vanja Milinković-Savić SSC Napoli | 27-29 | 36.9% | 18.3% | +18.5% |
| #4 | Andrea Zaccagno Torino FC | 27-29 | 36.9% | 18.3% | +18.5% |
| #5 | Alessandro Livieri AC Milan | 27-29 | 36.9% | 18.3% | +18.5% |
| #6 | Michele Di Gregorio Juventus FC | 27-29 | 36.9% | 18.3% | +18.5% |
| #7 | Samuele Perisan FC Empoli | 27-29 | 36.9% | 18.3% | +18.5% |
| #8 | Alen Sherri Cagliari Calcio | 27-29 | 36.9% | 18.3% | +18.5% |
| #9 | Tommaso Cucchietti Torino FC | 27-29 | 36.9% | 18.3% | +18.5% |
| #10 | Adrian Semper Pisa Sporting Club | 27-29 | 36.9% | 18.3% | +18.5% |
| #11 | Stefano Greco Associazione Sportiva Roma | 27-29 | 36.9% | 18.3% | +18.5% |
| #12 | Giacomo Satalino US Sassuolo | 27-29 | 36.9% | 18.3% | +18.5% |
| #13 | Jonathan Klinsmann Cesena FC | 27-29 | 36.9% | 18.3% | +18.5% |
| #14 | Aniello Viscovo FC Crotone | 27-29 | 36.9% | 18.3% | +18.5% |
| #15 | Mouhamadou Sarr US Cremonese | 27-29 | 36.9% | 18.3% | +18.5% |
| #16 | Mile Svilar Associazione Sportiva Roma | 27-29 | 36.9% | 18.3% | +18.5% |
| #17 | Maduka Okoye Udinese Calcio | 27-29 | 36.9% | 18.3% | +18.5% |
| #18 | Lorenzo Crisanto Associazione Sportiva Roma | 27-29 | 36.9% | 18.3% | +18.5% |
| #19 | Kristjan Matosevic Società Sportiva Lazio S.p.A. | 27-29 | 36.9% | 18.3% | +18.5% |
| #20 | Leonardo Marson US Sassuolo | 27-29 | 36.9% | 18.3% | +18.5% |
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: 11 immediate targets, 0 standard acquisitions, 22 watch-list prospects, 58 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
BUY NOW - Medium Upside
No players in this category
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 €250K. 0 undervalued, 20 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Arijanet Murić US Sassuolo | €7.5M | €400K | -1.25 | Good Value |
Alex Meret SSC Napoli | €8.0M | €400K | -1.00 | Good Value |
Elia Caprile Cagliari Calcio | €15.0M | €400K | -1.00 | Good Value |
Filip Stanković Venezia FC | €5.0M | €400K | -1.00 | Good Value |
Joyce Anacoura Parma Calcio 1913 | €125K | €400K | -0.46 | Fair Value |
Alessandro Iacobucci Frosinone Calcio | €150K | €400K | -0.42 | Fair Value |
Marco Bleve US Lecce | €150K | €400K | -0.42 | Fair Value |
Lazar Petkovic Parma Calcio 1913 | €150K | €400K | -0.42 | Fair Value |
Daniele Padelli Udinese Calcio | €150K | €400K | -0.42 | Fair Value |
Michele Nardi Parma Calcio 1913 | €150K | €400K | -0.42 | Fair Value |
Giacomo Volpe Juventus FC | €150K | €400K | -0.42 | Fair Value |
Enrico Alfonso Brescia Calcio | €150K | €400K | -0.42 | Fair Value |
Vincenzo Fiorillo US Salernitana 1919 | €150K | €400K | -0.42 | Fair Value |
Lys Gomis Frosinone Calcio | €150K | €400K | -0.42 | Fair Value |
Mauro Vigorito Como 1907 | €150K | €400K | -0.42 | Fair Value |
Umberto Saracco Torino FC | €175K | €400K | -0.38 | Fair Value |
Jacopo Coletta Chievo Verona | €200K | €400K | -0.33 | Fair Value |
Jacopo Furlan FC Empoli | €200K | €400K | -0.33 | Fair Value |
Lorenzo Andrenacci Genoa CFC | €200K | €400K | -0.33 | Fair Value |
Simone Moschin Chievo Verona | €200K | €400K | -0.33 | Fair Value |
Market Overview: Serie A Goalkeepers 2025-26
Our database tracks 169 Serie A Goalkeepers in the 2025-26 season, representing 34 clubs with a combined market value of €312.5M. The average market value for Serie A Goalkeepers is €1.8M, with the average age at 28 years old.
The most valuable goalkeeper in the Serie A is Mile Svilar, worth €35.0M and playing for Associazione Sportiva Roma at 27 years old. The top 5 Goalkeepers average €25.0M in market value, including Marco Carnesecchi and Zion Suzuki.
Age distribution shows the youngest tracked goalkeeper is Massimo Pessina (18 years, Bologna Football Club 1909, €3.5M), while the oldest is Ciprian Tatarusanu (40 years, AC Milan, €400K). Research shows Goalkeepers typically peak at age 30.
Our 1-year forecast model projects 45 Goalkeepers (27%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Serie A market for Goalkeepers remains actively developing with emerging talent in the 2025-26 season.
How We Rank Serie A Goalkeepers
Our Analytical Strength Index is calibrated specifically for goalkeepers, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for GK
Historical Achievement Index (35%)
Peak career market value for Serie A goalkeepers, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Serie A goalkeepers, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Goalkeepers with 2,700+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Goalkeepers peak at 30 with gradual 3.5%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Serie A receives Top 5 European league premium for competitive intensity and quality of opposition.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
GK Performance Benchmarks
Peak Age: 30 years (latest of all positions due to experience premium)
Decline Rate: Widening steps, not a flat rate: about -5% at 31, -10% at 32, steeper from 33 (latest onset of any position)
Optimal Minutes: 2,700 per season (near-complete games for #1 goalkeeper)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Compounding and banded around a peak of 30: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±8% confidence interval (most stable)
Research Foundation
• Dendir (2016): Age-performance curves for goalkeepers
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Serie A Goalkeepers in the 2025-26 season
Who are the most valuable Goalkeepers in the Serie A in 2025-26?
The most valuable goalkeeper in the Serie A in 2025-26 is Mile Svilar, who is worth €35.0M and plays for Associazione Sportiva Roma. The second most valuable is Marco Carnesecchi (€30.0M, Atalanta BC), followed by Zion Suzuki (€20.0M, Parma Calcio 1913). Our database tracks 169 Serie A Goalkeepers with comprehensive market valuations updated for the 2025-26 season.
How are Serie A Goalkeepers ranked?
Serie A Goalkeepers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Goalkeepers. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Serie A competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Goalkeepers peak?
Goalkeepers typically peak at age 30, later than outfield players. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% in the first year after peak, -10% in the second, and steeper again from 33. This is supported by research from Dendir (2016) showing that goalkeepers maintain elite performance longer due to the position's reliance on positioning, decision-making, and experience rather than pure athleticism. The optimal playing time for peak performance is around 2,700 minutes per season.
How much does it cost to sign a top goalkeeper from the Serie A?
Transfer fees for Serie A Goalkeepers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked goalkeeper Mile Svilar (market value: €35.0M), estimated transfer fees would range from €28.0M to €49.0M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Serie A transactions.
What is the value forecast for Serie A Goalkeepers?
Our 1-year forecast model projects market value changes for Serie A Goalkeepers based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-goalkeepers have ±8% volatility (most stable). Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Serie A goalkeeper data come from?
Our Serie A goalkeeper data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Serie A sources and updated monthly for the 2025-26 season to ensure accuracy for recruitment and investment decisions.