Best Goalkeepers in the World (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: World Goalkeepers 2023-24
Our database tracked 997 World Goalkeepers in the 2023-24 season, representing 701 clubs with a combined market value of €2.0B. The average market value for World Goalkeepers was €2.0M, with the average age at 27.5 years old.
The most valuable goalkeeper in the World was Gianluigi Donnarumma, worth €45.0M and played for Manchester City at 27 years old. The top 5 Goalkeepers averaged €39.0M in market value, including Diogo Costa and Bart Verbruggen.
Age distribution showed the youngest tracked goalkeeper was Michał Perchel (18 years, Puszcza Niepolomice, €350K), while the oldest was Manuel Neuer (40 years, Bayern Munich, €4.0M). Research shows Goalkeepers typically peak at age 29.
Historical analysis showed 592 Goalkeepers (59%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The World market for Goalkeepers remained highly competitive with significant transfer activity in the 2023-24 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 World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Goalkeepers. Identify undervalued assets and track market momentum across 701 clubs with €2.0B combined value.
Age Distribution: World Goalkeepers
The World GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (314 players, 31% of market). The 27-29 age group holds the most value at €650.3M, averaging €2.5M per player.
Top Goalkeepers by Age Bracket
U21 Years (42 players)
21-23 Years (158 players)
24-26 Years (219 players)
27-29 Years (264 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Goalkeepers (10% of players) control €1.3B
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 1% of the World GK pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: World Goalkeepers
Among 701 World clubs, Manchester City leads with 3 Goalkeepers worth €75.0M (averaging €25.0M per player). The top 10 clubs account for 3% of tracked Goalkeepers.
Manchester City (3 Goalkeepers)
Paris Saint-Germain (3 Goalkeepers)
Tottenham Hotspur (3 Goalkeepers)
Borussia Dortmund (3 Goalkeepers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Gianluigi Donnarumma
Manchester City • 27 years old
€38.9M
€45.0M
+15.6%
Expected: €48.0M
72.6
Diogo Costa
FC Porto • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €44.6M
68.9
Bart Verbruggen
Brighton & Hove Albion • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €41.8M
66.7
Gregor Kobel
Borussia Dortmund • 28 years old
€34.6M
€40.0M
+15.6%
Expected: €40.7M
66.4
Lucas Chevalier
Paris Saint-Germain • 24 years old
€30.3M
€35.0M
+15.6%
Expected: €40.2M
66.0
Mile Svilar
AS Roma • 26 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
64.3
David Raya
Arsenal FC • 30 years old
€37.0M
€35.0M
-5.4%
Expected: €32.7M
62.5
Joan García
FC Barcelona • 25 years old
€25.9M
€30.0M
+15.6%
Expected: €31.8M
55.5
Anatoliy Trubin
SL Benfica • 24 years old
€24.2M
€28.0M
+15.6%
Expected: €30.9M
53.5
Giorgi Mamardashvili
Liverpool FC • 25 years old
€24.2M
€28.0M
+15.6%
Expected: €29.6M
53.4
Guglielmo Vicario
Tottenham Hotspur • 29 years old
€25.9M
€30.0M
+15.6%
Expected: €30.9M
51.7
Senne Lammens
Manchester United • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €28.7M
51.2
James Trafford
Manchester City • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €28.7M
51.2
Marco Carnesecchi
Atalanta BC • 25 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
50.2
Dean Henderson
Crystal Palace • 29 years old
€24.2M
€28.0M
+15.6%
Expected: €28.8M
50.0
Unai Simón
Athletic Bilbao • 28 years old
€21.6M
€25.0M
+15.6%
Expected: €24.4M
48.2
Guillaume Restes
FC Toulouse • 21 years old
€17.3M
€20.0M
+15.6%
Expected: €24.7M
46.3
Caoimhín Kelleher
Brentford FC • 27 years old
€19.0M
€22.0M
+15.6%
Expected: €22.5M
46.2
Thibaut Courtois
Real Madrid • 34 years old
€23.2M
€18.0M
-22.6%
Expected: €15.3M
46.1
Robert Sánchez
Chelsea FC • 28 years old
€19.0M
€22.0M
+15.6%
Expected: €21.5M
45.6
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)
Brighton & Hove Albion's Bart Verbruggen at 23 years old has the highest Pre-Peak Value Efficiency at 70.00×. That means Bart Verbruggen is valued 70.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's Lucas Chevalier, who is 24 years old, with a 58.33× PPVE. Third is Senne Lammens of Manchester United, who is 23 years old with a 50.00× 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 70.00× means the player is worth 6900% 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 | Bart Verbruggen Brighton & Hove Albion | 23 | 21-23 | €35.0M | €500K | 70.00× |
| #2 | Lucas Chevalier Paris Saint-Germain | 24 | 24-26 | €35.0M | €600K | 58.33× |
| #3 | Senne Lammens Manchester United | 23 | 21-23 | €25.0M | €500K | 50.00× |
| #4 | Joan García FC Barcelona | 25 | 24-26 | €30.0M | €600K | 50.00× |
| #5 | James Trafford Manchester City | 23 | 21-23 | €25.0M | €500K | 50.00× |
| #6 | Giorgi Mamardashvili Liverpool FC | 25 | 24-26 | €28.0M | €600K | 46.67× |
| #7 | Anatoliy Trubin SL Benfica | 24 | 24-26 | €28.0M | €600K | 46.67× |
| #8 | Marco Carnesecchi Atalanta BC | 25 | 24-26 | €25.0M | €600K | 41.67× |
| #9 | Guillaume Restes FC Toulouse | 21 | 21-23 | €20.0M | €500K | 40.00× |
| #10 | Robin Roefs Sunderland AFC | 23 | 21-23 | €18.0M | €500K | 36.00× |
| #11 | Noah Atubolu SC Freiburg | 24 | 24-26 | €20.0M | €600K | 33.33× |
| #12 | Antonín Kinský Tottenham Hotspur | 23 | 21-23 | €13.0M | €500K | 26.00× |
| #13 | Mads Hermansen West Ham United | 25 | 24-26 | €15.0M | €600K | 25.00× |
| #14 | Filip Jørgensen Chelsea FC | 24 | 24-26 | €15.0M | €600K | 25.00× |
| #15 | Jonas Urbig Bayern Munich | 22 | 21-23 | €12.0M | €500K | 24.00× |
| #16 | Mio Backhaus SV Werder Bremen | 22 | 21-23 | €10.0M | €500K | 20.00× |
| #17 | Lukas Hornicek SC Braga | 23 | 21-23 | €10.0M | €500K | 20.00× |
| #18 | Luiz Júnior Villarreal CF | 25 | 24-26 | €12.0M | €600K | 20.00× |
| #19 | Robin Risser RC Lens | 21 | 21-23 | €10.0M | €500K | 20.00× |
| #20 | Gabriel Brazão Santos FC | 25 | 24-26 | €11.0M | €600K | 18.33× |
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)
Puszcza Niepolomice's Michał Perchel at 18 years old has the highest Return-to-Peak Potential at +55%. That means Michał Perchel is projected to appreciate 55% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is Beerschot VA's Emile Doucouré, who is 18 years old, with a +55% RPP (8 years to peak). Third is Renato Marin of Paris Saint-Germain, who is 19 years old with a +52% 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 55% RPP means the player is expected to gain 55% 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 | Michał Perchel Puszcza Niepolomice | 18 | 8 | €350K | €778K | +55% |
| #2 | Emile Doucouré Beerschot VA | 18 | 8 | €300K | €667K | +55% |
| #3 | Renato Marin Paris Saint-Germain | 19 | 7 | €500K | €1.0M | +52% |
| #4 | Nils Ramming Brighton & Hove Albion U21 | 19 | 7 | €500K | €1.0M | +52% |
| #5 | Denys Marchenko Obolon Kyiv | 19 | 7 | €600K | €1.2M | +52% |
| #6 | Nazar Domchak Karpaty Lviv | 19 | 7 | €700K | €1.4M | +52% |
| #7 | Kiyani Zeggen AZ Alkmaar U21 | 19 | 7 | €300K | €620K | +52% |
| #8 | Matthias Pieklak Lommel SK | 19 | 7 | €500K | €1.0M | +52% |
| #9 | Callan McKenna AFC Bournemouth U21 | 19 | 7 | €600K | €1.2M | +52% |
| #10 | Tommaso Vannucchi Cosenza Calcio | 19 | 7 | €500K | €1.0M | +52% |
| #11 | Cristhian Loor Botafogo de Futebol e Regatas | 20 | 6 | €350K | €673K | +48% |
| #12 | Kasper Kiilerich Aarhus Fremad | 20 | 6 | €350K | €673K | +48% |
| #13 | Deniz Dilmen Pendikspor | 20 | 6 | €700K | €1.3M | +48% |
| #14 | Patryk Letkiewicz Wisla Kraków | 20 | 6 | €350K | €673K | +48% |
| #15 | Axel Holewinski Pogon Szczecin | 20 | 6 | €350K | €673K | +48% |
| #16 | Ignacio Sáez Club Universidad de Chile | 20 | 6 | €300K | €576K | +48% |
| #17 | Andrés Tovar Envigado FC | 20 | 6 | €250K | €480K | +48% |
| #18 | Andrew Rick Philadelphia Union | 20 | 6 | €400K | €769K | +48% |
| #19 | Onuralp Çevikkan Trabzonspor | 20 | 6 | €900K | €1.7M | +48% |
| #20 | Fran González Real Madrid Castilla | 20 | 6 | €1.0M | €1.9M | +48% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Puszcza Niepolomice's Michał Perchel has the highest Risk-Adjusted Upside at 166.9. That means Michał Perchel has 44% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Beerschot VA's Emile Doucouré with a 166.9 RAU (44% upside, 0% uncertainty). Third is Nazar Domchak of Karpaty Lviv with a 154.3 RAU (40% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 166.9 means the upside is 166.9× 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 | Michał Perchel Puszcza Niepolomice | €505K | €459K-552K | +44% | 166.9 |
| #2 | Emile Doucouré Beerschot VA | €433K | €393K-473K | +44% | 166.9 |
| #3 | Nazar Domchak Karpaty Lviv | €978K | €888K-1.1M | +40% | 154.3 |
| #4 | Renato Marin Paris Saint-Germain | €698K | €634K-762K | +40% | 154.3 |
| #5 | Nils Ramming Brighton & Hove Albion U21 | €698K | €634K-762K | +40% | 154.3 |
| #6 | Matthias Pieklak Lommel SK | €698K | €634K-762K | +40% | 154.3 |
| #7 | Tommaso Vannucchi Cosenza Calcio | €698K | €634K-762K | +40% | 154.3 |
| #8 | Denys Marchenko Obolon Kyiv | €838K | €761K-915K | +40% | 154.3 |
| #9 | Kiyani Zeggen AZ Alkmaar U21 | €419K | €380K-457K | +40% | 154.3 |
| #10 | Callan McKenna AFC Bournemouth U21 | €838K | €761K-915K | +40% | 154.3 |
| #11 | Cristhian Loor Botafogo de Futebol e Regatas | €448K | €406K-489K | +28% | 118.5 |
| #12 | Kasper Kiilerich Aarhus Fremad | €448K | €406K-489K | +28% | 118.5 |
| #13 | Deniz Dilmen Pendikspor | €895K | €813K-978K | +28% | 118.5 |
| #14 | Patryk Letkiewicz Wisla Kraków | €448K | €406K-489K | +28% | 118.5 |
| #15 | Axel Holewinski Pogon Szczecin | €448K | €406K-489K | +28% | 118.5 |
| #16 | Andrew Rick Philadelphia Union | €512K | €464K-559K | +28% | 118.5 |
| #17 | Vladyslav Krapyvtsov Girona FC | €512K | €464K-559K | +28% | 118.5 |
| #18 | Timo Schlieck SpVgg Greuther Fürth | €512K | €464K-559K | +28% | 118.5 |
| #19 | Ignacio Sáez Club Universidad de Chile | €384K | €348K-419K | +28% | 118.5 |
| #20 | Onuralp Çevikkan Trabzonspor | €1.2M | €1.0M-1.3M | +28% | 118.5 |
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)
Independiente Santa Fe's Andrés Mosquera in the 30+ age bracket has the highest Age-Share Concentration at +-11.9%. That means David Raya captures 19.6% of total market value while representing only 31.5% of players in their age group—showing dominant elite status.
In second is Ludogorets Razgrad's Hendrik Bonmann with a +-11.9% ASC (19.6% value share vs 31.5% player share in 30+ bracket). Third is Thibaut Courtois of Real Madrid with a +-11.9% ASC (19.6% value vs 31.5% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-11.9% ASC means the player captures -11.9% 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 | Andrés Mosquera Independiente Santa Fe | 30+ | 19.6% | 31.5% | -11.9% |
| #2 | Hendrik Bonmann Ludogorets Razgrad | 30+ | 19.6% | 31.5% | -11.9% |
| #3 | Thibaut Courtois Real Madrid | 30+ | 19.6% | 31.5% | -11.9% |
| #4 | Andrey Lunev Dynamo Moscow | 30+ | 19.6% | 31.5% | -11.9% |
| #5 | Karl-Johan Johnsson RC Strasbourg Alsace | 30+ | 19.6% | 31.5% | -11.9% |
| #6 | Günay Güvenç Galatasaray | 30+ | 19.6% | 31.5% | -11.9% |
| #7 | Maksym Koval Without Club | 30+ | 19.6% | 31.5% | -11.9% |
| #8 | Rafał Leszczyński Wisla Plock | 30+ | 19.6% | 31.5% | -11.9% |
| #9 | Lee Nicholls Huddersfield Town | 30+ | 19.6% | 31.5% | -11.9% |
| #10 | Sean Johnson D.C. United | 30+ | 19.6% | 31.5% | -11.9% |
| #11 | Cican Stankovic Without Club | 30+ | 19.6% | 31.5% | -11.9% |
| #12 | Alessio Cragno FC Südtirol | 30+ | 19.6% | 31.5% | -11.9% |
| #13 | Antonio Rodríguez Club Tijuana | 30+ | 19.6% | 31.5% | -11.9% |
| #14 | Oliver Zelenika NK Varazdin | 30+ | 19.6% | 31.5% | -11.9% |
| #15 | Kristijan Kahlina Charlotte FC | 30+ | 19.6% | 31.5% | -11.9% |
| #16 | Hendrik Van Crombrugge KRC Genk | 30+ | 19.6% | 31.5% | -11.9% |
| #17 | Alberto Brignoli AEK Athens | 30+ | 19.6% | 31.5% | -11.9% |
| #18 | Egor Baburin Volga Uljanovsk | 30+ | 19.6% | 31.5% | -11.9% |
| #19 | Jakub Slowik Yokohama FC | 30+ | 19.6% | 31.5% | -11.9% |
| #20 | Cláudio Ramos FC Porto | 30+ | 19.6% | 31.5% | -11.9% |
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: 145 immediate targets, 199 standard acquisitions, 0 watch-list prospects, 260 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 €450K. 0 undervalued, 130 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Robin Roefs Sunderland AFC | €18.0M | €500K | -1.40 | Good Value |
Joan García FC Barcelona | €30.0M | €500K | -1.00 | Good Value |
Matthieu Epolo Standard Liège | €5.0M | €500K | -1.00 | Good Value |
Guillaume Restes FC Toulouse | €20.0M | €500K | -1.00 | Good Value |
Matvey Safonov Paris Saint-Germain | €15.0M | €500K | -0.83 | Good Value |
Andriy Lunin Real Madrid | €15.0M | €500K | -0.83 | Good Value |
Moritz Nicolas Borussia Mönchengladbach | €5.0M | €500K | -0.75 | Good Value |
Ionuț Radu Celta de Vigo | €5.0M | €500K | -0.75 | Good Value |
Aleksandr Maksimenko Spartak Moscow | €5.0M | €500K | -0.75 | Good Value |
José Sá Wolverhampton Wanderers | €5.0M | €500K | -0.67 | Good Value |
Guglielmo Vicario Tottenham Hotspur | €30.0M | €500K | -0.67 | Good Value |
Walter Benítez Crystal Palace | €5.0M | €500K | -0.67 | Good Value |
Lucas Perri Leeds United | €16.0M | €500K | -0.67 | Good Value |
Stefan Ortega Manchester City | €5.0M | €500K | -0.67 | Good Value |
Andrés Tovar Envigado FC | €250K | €500K | -0.63 | Good Value |
Tom Bramel RKC Waalwijk | €250K | €500K | -0.63 | Good Value |
Justin Bengui RWDM Brussels | €250K | €500K | -0.63 | Good Value |
Velizar-Iliya Iliev Audace Cerignola | €250K | €500K | -0.63 | Good Value |
Ebbe De Vlaeminck KV Kortrijk | €250K | €500K | -0.63 | Good Value |
Rome-Jayden Owusu-Oduro AZ Alkmaar | €7.0M | €500K | -0.60 | Good Value |
