Best Goalkeepers in the Bundesliga (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Goalkeepers 2022-23
Our database tracked 60 Bundesliga Goalkeepers in the 2022-23 season, representing 24 clubs with a combined market value of €206.2M. The average market value for Bundesliga Goalkeepers was €3.4M, with the average age at 29.0 years old.
The most valuable goalkeeper in the Bundesliga was Gregor Kobel, worth €40.0M and played for Borussia Dortmund at 28 years old. The top 5 Goalkeepers averaged €19.2M in market value, including Noah Atubolu and Kamil Grabara.
Age distribution showed the youngest tracked goalkeeper was Tiago Pereira Cardoso (20 years, Borussia Mönchengladbach, €1.5M), while the oldest was Manuel Neuer (40 years, Bayern Munich, €4.0M). Research shows Goalkeepers typically peak at age 29.
Historical analysis showed 28 Goalkeepers (47%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Bundesliga 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 Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Goalkeepers. Identify undervalued assets and track market momentum across 24 clubs with €206.2M combined value.
Age Distribution: Bundesliga Goalkeepers
The Bundesliga GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (29 players, 48% of market). The 27-29 age group holds the most value at €82.7M, averaging €10.3M per player.
Top Goalkeepers by Age Bracket
U21 Years (1 players)
21-23 Years (10 players)
24-26 Years (12 players)
27-29 Years (8 players)
Market Value Distribution
Elite Tier Concentration
The top 6 Goalkeepers (10% of players) control €108.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 2% of the Bundesliga GK pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Bundesliga Goalkeepers
Among 24 Bundesliga clubs, Borussia Dortmund leads with 4 Goalkeepers worth €41.4M (averaging €10.3M per player). The top 10 clubs account for 53% of tracked Goalkeepers.
Borussia Dortmund (4 Goalkeepers)
SC Freiburg (3 Goalkeepers)
Bayern Munich (3 Goalkeepers)
FC Augsburg (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.
Gregor Kobel
Borussia Dortmund • 28 years old
€34.6M
€40.0M
+15.6%
Expected: €40.7M
87.5
Noah Atubolu
SC Freiburg • 24 years old
€17.3M
€20.0M
+15.6%
Expected: €22.1M
74.5
Kamil Grabara
VfL Wolfsburg • 27 years old
€10.4M
€12.0M
+15.6%
Expected: €12.3M
67.7
Jonas Urbig
Bayern Munich • 22 years old
€10.4M
€12.0M
+15.6%
Expected: €14.3M
67.7
Finn Dahmen
FC Augsburg • 28 years old
€10.4M
€12.0M
+15.6%
Expected: €11.7M
67.3
Alexander Nübel
VfB Stuttgart • 29 years old
€10.4M
€12.0M
+15.6%
Expected: €12.4M
66.8
Mio Backhaus
SV Werder Bremen • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €11.9M
61.8
Mark Flekken
Bayer 04 Leverkusen • 32 years old
€10.3M
€8.0M
-22.6%
Expected: €6.8M
59.5
Maarten Vandevoordt
RB Leipzig • 24 years old
€6.9M
€8.0M
+15.6%
Expected: €8.8M
59.3
Diant Ramaj
1.FC Heidenheim 1846 • 24 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
57.6
Kauã Santos
Eintracht Frankfurt • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €8.0M
57.4
Manuel Neuer
Bayern Munich • 40 years old
€5.2M
€4.0M
-22.6%
Expected: €3.6M
54.2
Moritz Nicolas
Borussia Mönchengladbach • 28 years old
€4.3M
€5.0M
+15.6%
Expected: €4.9M
52.6
Michael Zetterer
Eintracht Frankfurt • 30 years old
€4.8M
€4.5M
-5.4%
Expected: €4.0M
51.2
Nikola Vasilj
FC St. Pauli • 30 years old
€4.8M
€4.5M
-5.4%
Expected: €4.0M
51.2
Oliver Baumann
TSG 1899 Hoffenheim • 36 years old
€3.9M
€3.0M
-22.6%
Expected: €2.7M
45.2
Karl Hein
SV Werder Bremen • 24 years old
€2.6M
€3.0M
+15.6%
Expected: €3.3M
43.3
Marvin Schwäbe
1.FC Köln • 31 years old
€3.9M
€3.0M
-22.6%
Expected: €2.7M
43.0
Robin Zentner
1.FSV Mainz 05 • 31 years old
€3.9M
€3.0M
-22.6%
Expected: €2.7M
43.0
Frederik Rönnow
1.FC Union Berlin • 33 years old
€3.2M
€2.5M
-22.6%
Expected: €2.1M
41.6
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)
SC Freiburg's Noah Atubolu at 24 years old has the highest Pre-Peak Value Efficiency at 26.67×. That means Noah Atubolu is valued 26.67× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Bayern Munich's Jonas Urbig, who is 22 years old, with a 17.14× PPVE. Third is Mio Backhaus of SV Werder Bremen, who is 22 years old with a 14.29× 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 26.67× means the player is worth 2567% 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 | Noah Atubolu SC Freiburg | 24 | 24-26 | €20.0M | €750K | 26.67× |
| #2 | Jonas Urbig Bayern Munich | 22 | 21-23 | €12.0M | €700K | 17.14× |
| #3 | Mio Backhaus SV Werder Bremen | 22 | 21-23 | €10.0M | €700K | 14.29× |
| #4 | Maarten Vandevoordt RB Leipzig | 24 | 24-26 | €8.0M | €750K | 10.67× |
| #5 | Kauã Santos Eintracht Frankfurt | 23 | 21-23 | €7.0M | €700K | 10.00× |
| #6 | Diant Ramaj 1.FC Heidenheim 1846 | 24 | 24-26 | €7.0M | €750K | 9.33× |
| #7 | Karl Hein SV Werder Bremen | 24 | 24-26 | €3.0M | €750K | 4.00× |
| #8 | Tom Ritzy Hülsmann TSV Hartberg | 22 | 21-23 | €800K | €700K | 1.14× |
| #9 | Luca Philipp TSG 1899 Hoffenheim | 25 | 24-26 | €750K | €750K | 1.00× |
| #10 | Daniil Khudyakov SK Sturm Graz | 22 | 21-23 | €700K | €700K | 1.00× |
| #11 | Tiago Pereira Cardoso Borussia Mönchengladbach | 20 | U21 | €1.5M | €1.5M | 1.00× |
| #12 | Lasse Rieß 1.FSV Mainz 05 | 24 | 24-26 | €700K | €750K | 0.93× |
| #13 | Lúkas Petersson TSG 1899 Hoffenheim | 22 | 21-23 | €600K | €700K | 0.86× |
| #14 | Frank Feller 1.FC Heidenheim 1846 | 22 | 21-23 | €500K | €700K | 0.71× |
| #15 | Ben Voll FC St. Pauli | 25 | 24-26 | €500K | €750K | 0.67× |
| #16 | Jan Olschowsky Borussia Mönchengladbach | 24 | 24-26 | €450K | €750K | 0.60× |
| #17 | Matteo Bignetti SK Sturm Graz | 22 | 21-23 | €400K | €700K | 0.57× |
| #18 | Franz Stolz Grazer AK 1902 | 25 | 24-26 | €350K | €750K | 0.47× |
| #19 | Silas Ostrzinski Borussia Dortmund | 22 | 21-23 | €200K | €700K | 0.29× |
| #20 | Emil Gazdov FC St. Pauli | 22 | 21-23 | €175K | €700K | 0.25× |
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)
Borussia Mönchengladbach's Tiago Pereira Cardoso at 20 years old has the highest Return-to-Peak Potential at +48%. That means Tiago Pereira Cardoso is projected to appreciate 48% as they reach their peak age in 6 years—representing significant upside before entering their prime.
In second is SK Sturm Graz's Matteo Bignetti, who is 22 years old, with a +40% RPP (4 years to peak). Third is Tom Ritzy Hülsmann of TSV Hartberg, who is 22 years old with a +40% RPP (4 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 48% RPP means the player is expected to gain 48% 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 | Tiago Pereira Cardoso Borussia Mönchengladbach | 20 | 6 | €1.5M | €2.9M | +48% |
| #2 | Matteo Bignetti SK Sturm Graz | 22 | 4 | €400K | €665K | +40% |
| #3 | Tom Ritzy Hülsmann TSV Hartberg | 22 | 4 | €800K | €1.3M | +40% |
| #4 | Silas Ostrzinski Borussia Dortmund | 22 | 4 | €200K | €332K | +40% |
| #5 | Lúkas Petersson TSG 1899 Hoffenheim | 22 | 4 | €600K | €997K | +40% |
| #6 | Daniil Khudyakov SK Sturm Graz | 22 | 4 | €700K | €1.2M | +40% |
| #7 | Emil Gazdov FC St. Pauli | 22 | 4 | €175K | €291K | +40% |
| #8 | Frank Feller 1.FC Heidenheim 1846 | 22 | 4 | €500K | €831K | +40% |
| #9 | Jonas Urbig Bayern Munich | 22 | 4 | €12.0M | €19.9M | +40% |
| #10 | Mio Backhaus SV Werder Bremen | 22 | 4 | €10.0M | €16.6M | +40% |
| #11 | Kauã Santos Eintracht Frankfurt | 23 | 3 | €7.0M | €10.8M | +35% |
| #12 | Maarten Vandevoordt RB Leipzig | 24 | 2 | €8.0M | €11.5M | +30% |
| #13 | Lasse Rieß 1.FSV Mainz 05 | 24 | 2 | €700K | €1.0M | +30% |
| #14 | Jan Olschowsky Borussia Mönchengladbach | 24 | 2 | €450K | €647K | +30% |
| #15 | Noah Atubolu SC Freiburg | 24 | 2 | €20.0M | €28.7M | +30% |
| #16 | Diant Ramaj 1.FC Heidenheim 1846 | 24 | 2 | €7.0M | €10.1M | +30% |
| #17 | Karl Hein SV Werder Bremen | 24 | 2 | €3.0M | €4.3M | +30% |
| #18 | Franz Stolz Grazer AK 1902 | 25 | 1 | €350K | €468K | +25% |
| #19 | Daniel Klein FC Augsburg | 25 | 1 | €150K | €201K | +25% |
| #20 | Ben Voll FC St. Pauli | 25 | 1 | €500K | €668K | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Borussia Mönchengladbach's Tiago Pereira Cardoso has the highest Risk-Adjusted Upside at 118.5. That means Tiago Pereira Cardoso has 28% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is TSG 1899 Hoffenheim's Lúkas Petersson with a 100.1 RAU (19% upside, 0% uncertainty). Third is Frank Feller of 1.FC Heidenheim 1846 with a 100.1 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 118.5 means the upside is 118.5× 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 | Tiago Pereira Cardoso Borussia Mönchengladbach | €1.9M | €1.7M-2.1M | +28% | 118.5 |
| #2 | Lúkas Petersson TSG 1899 Hoffenheim | €714K | €657K-772K | +19% | 100.1 |
| #3 | Frank Feller 1.FC Heidenheim 1846 | €595K | €548K-643K | +19% | 100.1 |
| #4 | Daniil Khudyakov SK Sturm Graz | €833K | €767K-900K | +19% | 100.1 |
| #5 | Emil Gazdov FC St. Pauli | €208K | €192K-225K | +19% | 100.1 |
| #6 | Matteo Bignetti SK Sturm Graz | €476K | €438K-514K | +19% | 100.1 |
| #7 | Tom Ritzy Hülsmann TSV Hartberg | €953K | €876K-1.0M | +19% | 100.1 |
| #8 | Silas Ostrzinski Borussia Dortmund | €238K | €219K-257K | +19% | 100.1 |
| #9 | Mio Backhaus SV Werder Bremen | €11.9M | €11.0M-12.9M | +19% | 100.1 |
| #10 | Jonas Urbig Bayern Munich | €14.3M | €13.1M-15.4M | +19% | 100.1 |
| #11 | Kauã Santos Eintracht Frankfurt | €8.0M | €7.4M-8.7M | +15% | 79.9 |
| #12 | Lasse Rieß 1.FSV Mainz 05 | €772K | €710K-833K | +10% | 58.1 |
| #13 | Noah Atubolu SC Freiburg | €22.1M | €20.3M-23.8M | +10% | 58.1 |
| #14 | Diant Ramaj 1.FC Heidenheim 1846 | €7.7M | €7.1M-8.3M | +10% | 58.1 |
| #15 | Maarten Vandevoordt RB Leipzig | €8.8M | €8.1M-9.5M | +10% | 58.1 |
| #16 | Karl Hein SV Werder Bremen | €3.3M | €3.0M-3.6M | +10% | 58.1 |
| #17 | Jan Olschowsky Borussia Mönchengladbach | €496K | €456K-536K | +10% | 58.1 |
| #18 | Nico Mantl FC Blau-Weiss Linz | €1.1M | €985K-1.2M | +7% | 41.2 |
| #19 | Nediljko Labrovic FC Augsburg | €2.1M | €2.0M-2.3M | +7% | 41.2 |
| #20 | Daniel Klein FC Augsburg | €159K | €146K-171K | +6% | 34.5 |
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 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)
VfB Stuttgart's Alexander Nübel in the 27-29 age bracket has the highest Age-Share Concentration at +26.8%. That means Gregor Kobel captures 40.1% of total market value while representing only 13.3% of players in their age group—showing dominant elite status.
In second is FC Augsburg's Finn Dahmen with a +26.8% ASC (40.1% value share vs 13.3% player share in 27-29 bracket). Third is Gregor Kobel of Borussia Dortmund with a +26.8% ASC (40.1% value vs 13.3% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +26.8% ASC means the player captures 26.8% 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 | Alexander Nübel VfB Stuttgart | 27-29 | 40.1% | 13.3% | +26.8% |
| #2 | Finn Dahmen FC Augsburg | 27-29 | 40.1% | 13.3% | +26.8% |
| #3 | Gregor Kobel Borussia Dortmund | 27-29 | 40.1% | 13.3% | +26.8% |
| #4 | Moritz Nicolas Borussia Mönchengladbach | 27-29 | 40.1% | 13.3% | +26.8% |
| #5 | Florian Müller SC Freiburg | 27-29 | 40.1% | 13.3% | +26.8% |
| #6 | Fabian Ehmann Grazer AK 1902 | 27-29 | 40.1% | 13.3% | +26.8% |
| #7 | Kamil Grabara VfL Wolfsburg | 27-29 | 40.1% | 13.3% | +26.8% |
| #8 | Stefan Drljaca VfB Stuttgart | 27-29 | 40.1% | 13.3% | +26.8% |
| #9 | Frederik Rönnow 1.FC Union Berlin | 30+ | 22.2% | 48.3% | -26.2% |
| #10 | Dejan Stojanovic SCR Altach | 30+ | 22.2% | 48.3% | -26.2% |
| #11 | Marius Müller VfL Wolfsburg | 30+ | 22.2% | 48.3% | -26.2% |
| #12 | Mark Flekken Bayer 04 Leverkusen | 30+ | 22.2% | 48.3% | -26.2% |
| #13 | Marvin Schwäbe 1.FC Köln | 30+ | 22.2% | 48.3% | -26.2% |
| #14 | Jannik Huth SC Freiburg | 30+ | 22.2% | 48.3% | -26.2% |
| #15 | Robin Zentner 1.FSV Mainz 05 | 30+ | 22.2% | 48.3% | -26.2% |
| #16 | Leopold Zingerle RB Leipzig | 30+ | 22.2% | 48.3% | -26.2% |
| #17 | Carl Klaus 1.FC Union Berlin | 30+ | 22.2% | 48.3% | -26.2% |
| #18 | Manuel Neuer Bayern Munich | 30+ | 22.2% | 48.3% | -26.2% |
| #19 | Fabian Bredlow VfB Stuttgart | 30+ | 22.2% | 48.3% | -26.2% |
| #20 | Michael Zetterer Eintracht Frankfurt | 30+ | 22.2% | 48.3% | -26.2% |
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: 10 immediate targets, 11 standard acquisitions, 0 watch-list prospects, 9 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 €500K. 0 undervalued, 5 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Diant Ramaj 1.FC Heidenheim 1846 | €7.0M | €800K | -1.00 | Good Value |
Daniel Klein FC Augsburg | €150K | €800K | -1.00 | Good Value |
Emil Gazdov FC St. Pauli | €175K | €800K | -0.65 | Good Value |
Franz Stolz Grazer AK 1902 | €350K | €800K | -0.64 | Good Value |
Silas Ostrzinski Borussia Dortmund | €200K | €800K | -0.60 | Good Value |
Kauã Santos Eintracht Frankfurt | €7.0M | €800K | -0.60 | Good Value |
Jan Olschowsky Borussia Mönchengladbach | €450K | €800K | -0.45 | Fair Value |
Ben Voll FC St. Pauli | €500K | €800K | -0.36 | Fair Value |
Jens Grahl Eintracht Frankfurt | €200K | €800K | -0.24 | Fair Value |
Niklas Lomb Bayer 04 Leverkusen | €250K | €800K | -0.21 | Fair Value |
Daniel Batz 1.FSV Mainz 05 | €250K | €800K | -0.21 | Fair Value |
Matteo Bignetti SK Sturm Graz | €400K | €800K | -0.20 | Fair Value |
Tobias Sippel Borussia Mönchengladbach | €300K | €800K | -0.19 | Fair Value |
Pavao Pervan VfL Wolfsburg | €300K | €800K | -0.19 | Fair Value |
Markus Kolke SV Werder Bremen | €300K | €800K | -0.19 | Fair Value |
Carl Klaus 1.FC Union Berlin | €350K | €800K | -0.17 | Fair Value |
Jannik Huth SC Freiburg | €400K | €800K | -0.14 | Fair Value |
Leopold Zingerle RB Leipzig | €400K | €800K | -0.14 | Fair Value |
Patrick Drewes Borussia Dortmund | €400K | €800K | -0.14 | Fair Value |
Fabian Ehmann Grazer AK 1902 | €175K | €800K | -0.12 | Fair Value |
