Best Goalkeepers in the Bundesliga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Goalkeepers 2025-26
Our database tracks 62 Bundesliga Goalkeepers in the 2025-26 season, representing 24 clubs with a combined market value of €197.4M. The average market value for Bundesliga Goalkeepers is €3.2M, with the average age at 28.8 years old.
The most valuable goalkeeper in the Bundesliga is Gregor Kobel, worth €40.0M and playing for Borussia Dortmund at 27 years old. The top 5 Goalkeepers average €19.2M in market value, including Noah Atubolu and Kamil Grabara.
Age distribution shows the youngest tracked goalkeeper is Tiago Pereira Cardoso (19 years, Borussia Mönchengladbach, €1.5M), while the oldest is Manuel Neuer (39 years, Bayern Munich, €4.0M). Research shows Goalkeepers typically peak at age 29.
Our 1-year forecast model projects 30 Goalkeepers (48%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Bundesliga market for Goalkeepers remains actively developing with emerging talent in the 2025-26 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 €197.4M combined value.
Age Distribution: Bundesliga Goalkeepers
The Bundesliga GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (32 players, 52% of market). The 27-29 age group holds the most value at €70.9M, averaging €10.1M per player.
Top Goalkeepers by Age Bracket
U21 Years (1 players)
21-23 Years (12 players)
24-26 Years (10 players)
27-29 Years (7 players)
Market Value Distribution
Elite Tier Concentration
The top 7 Goalkeepers (11% of players) control €115.0M
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 €41.5M (averaging €10.4M per player). The top 10 clubs account for 52% of tracked Goalkeepers.
Borussia Dortmund (4 Goalkeepers)
SC Freiburg (3 Goalkeepers)
Bayern Munich (3 Goalkeepers)
VfL Wolfsburg (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 • 27 years old
€34.6M
€40.0M
+15.6%
Expected: €46.2M
87.0
Noah Atubolu
SC Freiburg • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €23.6M
70.0
Kamil Grabara
VfL Wolfsburg • 26 years old
€12.1M
€14.0M
+15.6%
Expected: €16.3M
68.8
Alexander Nübel
VfB Stuttgart • 29 years old
€10.4M
€12.0M
+15.6%
Expected: €12.4M
66.8
Jonas Urbig
Bayern Munich • 22 years old
€10.4M
€12.0M
+15.6%
Expected: €16.4M
64.2
Mark Flekken
Bayer 04 Leverkusen • 32 years old
€10.0M
€10.0M
+0.0%
Expected: €9.7M
59.8
Finn Dahmen
FC Augsburg • 27 years old
€7.8M
€9.0M
+15.6%
Expected: €10.0M
59.7
Maarten Vandevoordt
RB Leipzig • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €10.5M
56.2
Diant Ramaj
1.FC Heidenheim 1846 • 24 years old
€6.1M
€7.0M
+15.6%
Expected: €8.8M
55.1
Moritz Nicolas
Borussia Mönchengladbach • 27 years old
€4.3M
€5.0M
+15.6%
Expected: €5.6M
52.1
Michael Zetterer
Eintracht Frankfurt • 30 years old
€4.5M
€4.5M
+0.0%
Expected: €4.4M
50.3
Robin Zentner
1.FSV Mainz 05 • 30 years old
€4.0M
€4.0M
+0.0%
Expected: €3.9M
48.8
Nikola Vasilj
FC St. Pauli • 29 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.5
Manuel Neuer
Bayern Munich • 39 years old
€4.0M
€4.0M
+0.0%
Expected: €3.9M
45.2
Daniel Peretz
Hamburger SV • 25 years old
€2.6M
€3.0M
+15.6%
Expected: €3.6M
41.5
Frederik Rönnow
1.FC Union Berlin • 33 years old
€3.0M
€3.0M
+0.0%
Expected: €2.9M
40.5
Karl Hein
SV Werder Bremen • 23 years old
€2.6M
€3.0M
+15.6%
Expected: €3.9M
40.1
Nediljko Labrovic
FC Augsburg • 26 years old
€2.2M
€2.5M
+15.6%
Expected: €2.9M
39.8
Oliver Baumann
TSG 1899 Hoffenheim • 35 years old
€3.0M
€3.0M
+0.0%
Expected: €2.9M
39.6
Jonas Omlin
Borussia Mönchengladbach • 31 years old
€2.5M
€2.5M
+0.0%
Expected: €2.4M
39.0
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)
1.FC Heidenheim 1846's Diant Ramaj at 24 years old has the highest Pre-Peak Value Efficiency at 9.33×. That means Diant Ramaj is valued 9.33× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is SC Freiburg's Noah Atubolu, who is 23 years old, with a 9.00× PPVE. Third is Jonas Urbig of Bayern Munich, who is 22 years old with a 6.00× 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 9.33× means the player is worth 833% 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 | Diant Ramaj 1.FC Heidenheim 1846 | 24 | 24-26 | €7.0M | €750K | 9.33× |
| #2 | Noah Atubolu SC Freiburg | 23 | 21-23 | €18.0M | €2.0M | 9.00× |
| #3 | Jonas Urbig Bayern Munich | 22 | 21-23 | €12.0M | €2.0M | 6.00× |
| #4 | Daniel Peretz Hamburger SV | 25 | 24-26 | €3.0M | €750K | 4.00× |
| #5 | Maarten Vandevoordt RB Leipzig | 23 | 21-23 | €8.0M | €2.0M | 4.00× |
| #6 | Karl Hein SV Werder Bremen | 23 | 21-23 | €3.0M | €2.0M | 1.50× |
| #7 | Kauã Santos Eintracht Frankfurt | 22 | 21-23 | €2.5M | €2.0M | 1.25× |
| #8 | Luca Philipp TSG 1899 Hoffenheim | 24 | 24-26 | €750K | €750K | 1.00× |
| #9 | Mio Backhaus SV Werder Bremen | 21 | 21-23 | €2.0M | €2.0M | 1.00× |
| #10 | Tiago Pereira Cardoso Borussia Mönchengladbach | 19 | U21 | €1.5M | €1.5M | 1.00× |
| #11 | Ben Voll FC St. Pauli | 24 | 24-26 | €500K | €750K | 0.67× |
| #12 | Lasse Rieß 1.FSV Mainz 05 | 24 | 24-26 | €400K | €750K | 0.53× |
| #13 | Daniil Khudyakov SK Sturm Graz | 21 | 21-23 | €800K | €2.0M | 0.40× |
| #14 | Tom Ritzy Hülsmann TSV Hartberg | 21 | 21-23 | €500K | €2.0M | 0.25× |
| #15 | Frank Feller 1.FC Heidenheim 1846 | 21 | 21-23 | €500K | €2.0M | 0.25× |
| #16 | Matteo Bignetti SK Sturm Graz | 21 | 21-23 | €400K | €2.0M | 0.20× |
| #17 | Daniel Klein FC Augsburg | 24 | 24-26 | €150K | €750K | 0.20× |
| #18 | Lúkas Petersson TSG 1899 Hoffenheim | 21 | 21-23 | €250K | €2.0M | 0.13× |
| #19 | Silas Ostrzinski Borussia Dortmund | 21 | 21-23 | €200K | €2.0M | 0.10× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
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 184.5. That means Tiago Pereira Cardoso has 51% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Bayern Munich's Jonas Urbig with a 166.3 RAU (36% upside, 0% uncertainty). Third is Kauã Santos of Eintracht Frankfurt with a 166.3 RAU (36% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 184.5 means the upside is 184.5× 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 | €2.3M | €2.1M-2.5M | +51% | 184.5 |
| #2 | Jonas Urbig Bayern Munich | €16.4M | €15.0M-17.7M | +36% | 166.3 |
| #3 | Kauã Santos Eintracht Frankfurt | €3.4M | €3.1M-3.7M | +36% | 166.3 |
| #4 | Mio Backhaus SV Werder Bremen | €2.8M | €2.6M-3.1M | +41% | 158.9 |
| #5 | Tom Ritzy Hülsmann TSV Hartberg | €707K | €642K-772K | +41% | 158.9 |
| #6 | Lúkas Petersson TSG 1899 Hoffenheim | €353K | €321K-386K | +41% | 158.9 |
| #7 | Frank Feller 1.FC Heidenheim 1846 | €707K | €642K-772K | +41% | 158.9 |
| #8 | Matteo Bignetti SK Sturm Graz | €565K | €513K-617K | +41% | 158.9 |
| #9 | Silas Ostrzinski Borussia Dortmund | €283K | €257K-309K | +41% | 158.9 |
| #10 | Daniil Khudyakov SK Sturm Graz | €1.1M | €1.0M-1.2M | +41% | 158.9 |
| #11 | Maarten Vandevoordt RB Leipzig | €10.5M | €9.7M-11.3M | +31% | 148.7 |
| #12 | Noah Atubolu SC Freiburg | €23.6M | €21.7M-25.5M | +31% | 148.7 |
| #13 | Karl Hein SV Werder Bremen | €3.9M | €3.6M-4.3M | +31% | 148.7 |
| #14 | Daniel Klein FC Augsburg | €189K | €174K-204K | +26% | 129.7 |
| #15 | Lasse Rieß 1.FSV Mainz 05 | €505K | €464K-545K | +26% | 129.7 |
| #16 | Luca Philipp TSG 1899 Hoffenheim | €946K | €871K-1.0M | +26% | 129.7 |
| #17 | Ben Voll FC St. Pauli | €631K | €580K-681K | +26% | 129.7 |
| #18 | Diant Ramaj 1.FC Heidenheim 1846 | €8.8M | €8.1M-9.5M | +26% | 129.7 |
| #19 | Daniel Peretz Hamburger SV | €3.6M | €3.3M-3.9M | +21% | 109.0 |
| #20 | Nediljko Labrovic FC Augsburg | €2.9M | €2.7M-3.1M | +16% | 86.6 |
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)
1.FC Union Berlin's Frederik Rönnow in the 30+ age bracket has the highest Age-Share Concentration at +-27.9%. That means Mark Flekken captures 23.7% of total market value while representing only 51.6% of players in their age group—showing dominant elite status.
In second is SCR Altach's Dejan Stojanovic with a +-27.9% ASC (23.7% value share vs 51.6% player share in 30+ bracket). Third is Marius Müller of VfL Wolfsburg with a +-27.9% ASC (23.7% value vs 51.6% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-27.9% ASC means the player captures -27.9% 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 | Frederik Rönnow 1.FC Union Berlin | 30+ | 23.7% | 51.6% | -27.9% |
| #2 | Dejan Stojanovic SCR Altach | 30+ | 23.7% | 51.6% | -27.9% |
| #3 | Marius Müller VfL Wolfsburg | 30+ | 23.7% | 51.6% | -27.9% |
| #4 | Mark Flekken Bayer 04 Leverkusen | 30+ | 23.7% | 51.6% | -27.9% |
| #5 | Eric Oelschlägel Without Club | 30+ | 23.7% | 51.6% | -27.9% |
| #6 | Marvin Schwäbe 1.FC Köln | 30+ | 23.7% | 51.6% | -27.9% |
| #7 | Jannik Huth SC Freiburg | 30+ | 23.7% | 51.6% | -27.9% |
| #8 | Robin Zentner 1.FSV Mainz 05 | 30+ | 23.7% | 51.6% | -27.9% |
| #9 | Leopold Zingerle RB Leipzig | 30+ | 23.7% | 51.6% | -27.9% |
| #10 | Carl Klaus 1.FC Union Berlin | 30+ | 23.7% | 51.6% | -27.9% |
| #11 | Manuel Neuer Bayern Munich | 30+ | 23.7% | 51.6% | -27.9% |
| #12 | Fabian Bredlow VfB Stuttgart | 30+ | 23.7% | 51.6% | -27.9% |
| #13 | Michael Zetterer Eintracht Frankfurt | 30+ | 23.7% | 51.6% | -27.9% |
| #14 | Ron-Robert Zieler 1.FC Köln | 30+ | 23.7% | 51.6% | -27.9% |
| #15 | Jonas Omlin Borussia Mönchengladbach | 30+ | 23.7% | 51.6% | -27.9% |
| #16 | Tobias Sippel Borussia Mönchengladbach | 30+ | 23.7% | 51.6% | -27.9% |
| #17 | Sascha Burchert FC St. Pauli | 30+ | 23.7% | 51.6% | -27.9% |
| #18 | Jens Grahl Eintracht Frankfurt | 30+ | 23.7% | 51.6% | -27.9% |
| #19 | Sven Ulreich Bayern Munich | 30+ | 23.7% | 51.6% | -27.9% |
| #20 | Kevin Müller 1.FC Heidenheim 1846 | 30+ | 23.7% | 51.6% | -27.9% |
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: 19 immediate targets, 0 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
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 €400K. 0 undervalued, 4 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 |
Maarten Vandevoordt RB Leipzig | €8.0M | €800K | -1.00 | Good Value |
Moritz Nicolas Borussia Mönchengladbach | €5.0M | €800K | -0.57 | Good Value |
Fabian Ehmann Grazer AK 1902 | €175K | €800K | -0.31 | Fair Value |
Daniel Klein FC Augsburg | €150K | €800K | -0.29 | Fair Value |
Sascha Burchert FC St. Pauli | €200K | €800K | -0.24 | Fair Value |
Jens Grahl Eintracht Frankfurt | €200K | €800K | -0.24 | Fair Value |
Vitus Eicher Without Club | €250K | €800K | -0.21 | 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 |
Stefan Drljaca VfB Stuttgart | €325K | €800K | -0.20 | Fair Value |
Silas Ostrzinski Borussia Dortmund | €200K | €800K | -0.19 | Fair Value |
Eric Oelschlägel Without Club | €300K | €800K | -0.18 | Fair Value |
Tobias Sippel Borussia Mönchengladbach | €300K | €800K | -0.18 | Fair Value |
Pavao Pervan VfL Wolfsburg | €300K | €800K | -0.18 | Fair Value |
Markus Kolke SV Werder Bremen | €300K | €800K | -0.18 | Fair Value |
Lasse Rieß 1.FSV Mainz 05 | €400K | €800K | -0.17 | Fair Value |
Lúkas Petersson TSG 1899 Hoffenheim | €250K | €800K | -0.16 | Fair Value |
Carl Klaus 1.FC Union Berlin | €350K | €800K | -0.15 | Fair Value |
Ben Voll FC St. Pauli | €500K | €800K | -0.12 | Fair Value |