Best U23 Young Players in the Bundesliga
148 players aged 23 or under · ranked by Analytical Strength Score
Best Young Players in the Bundesliga (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Young Players 2024-25
Our database tracked 148 Bundesliga Young Players in the 2024-25 season, representing 29 clubs with a combined market value of €1.4B. The average market value for Bundesliga Young Players was €9.3M, with the average age at 21.5 years old.
The most valuable young player in the Bundesliga was Jamal Musiala, worth €140.0M and played for Bayern Munich at 23 years old. The top 5 Young Players averaged €61.4M in market value, including Aleksandar Pavlovic and Castello Lukeba.
Age distribution showed the youngest tracked young player was Patrice Covic (18 years, SV Werder Bremen, €2.5M), while the oldest was Jamal Musiala (23 years, Bayern Munich, €140.0M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 148 Young Players (100%) 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 Young Players remained highly competitive with significant transfer activity in the 2024-25 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 Young Players. Identify undervalued assets and track market momentum across 29 clubs with €1.4B combined value.
Age Distribution: Bundesliga Young Players
The Bundesliga ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (110 players, 74% of market). The 21-23 age group holds the most value at €1.1B, averaging €10.0M per player.
Top Young Players by Age Bracket
U21 Years (38 players)
21-23 Years (110 players)
Market Value Distribution
Elite Tier Concentration
The top 15 Young Players (10% of players) control €569.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the Bundesliga ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Young Players
Among 29 Bundesliga clubs, Bayern Munich leads with 4 Young Players worth €237.0M (averaging €59.3M per player). The top 10 clubs account for 57% of tracked Young Players.
Bayern Munich (4 Young Players)
RB Leipzig (10 Young Players)
Eintracht Frankfurt (11 Young Players)
Bayer 04 Leverkusen (9 Young Players)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Jamal Musiala
Bayern Munich • 23 years old
€121.1M
€140.0M
+15.6%
Expected: €156.0M
95.5
Aleksandar Pavlovic
Bayern Munich • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €65.6M
90.2
Castello Lukeba
RB Leipzig • 23 years old
€34.6M
€40.0M
+15.6%
Expected: €44.6M
86.2
Hugo Larsson
Eintracht Frankfurt • 21 years old
€34.6M
€40.0M
+15.6%
Expected: €45.9M
85.0
Malik Tillman
Bayer 04 Leverkusen • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.7M
82.6
Johan Bakayoko
RB Leipzig • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
79.1
Tom Bischof
Bayern Munich • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.4
Eliesse Ben Seghir
Bayer 04 Leverkusen • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €30.9M
77.0
Antonio Nusa
RB Leipzig • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €30.9M
77.0
Maximilian Beier
Borussia Dortmund • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €26.8M
76.8
Bilal El Khannouss
VfB Stuttgart • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
76.7
Konstantinos Koulierakis
VfL Wolfsburg • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.2
Paul Nebel
1.FSV Mainz 05 • 23 years old
€20.8M
€24.0M
+15.6%
Expected: €26.7M
76.1
Elye Wahi
Eintracht Frankfurt • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Chrislain Matsima
FC Augsburg • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Conrad Harder
RB Leipzig • 21 years old
€20.8M
€24.0M
+15.6%
Expected: €26.5M
75.1
Nathaniel Brown
Eintracht Frankfurt • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €23.3M
74.6
Yan Couto
Borussia Dortmund • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
Jarell Quansah
Bayer 04 Leverkusen • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
Fábio Silva
Borussia Dortmund • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
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)
Bayern Munich's Jamal Musiala at 23 years old has the highest Pre-Peak Value Efficiency at 23.33×. That means Jamal Musiala is valued 23.33× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Bayern Munich's Aleksandar Pavlovic, who is 21 years old, with a 9.17× PPVE. Third is Castello Lukeba of RB Leipzig, who is 23 years old with a 6.67× 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 23.33× means the player is worth 2233% 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 | Jamal Musiala Bayern Munich | 23 | 21-23 | €140.0M | €6.0M | 23.33× |
| #2 | Aleksandar Pavlovic Bayern Munich | 21 | 21-23 | €55.0M | €6.0M | 9.17× |
| #3 | Castello Lukeba RB Leipzig | 23 | 21-23 | €40.0M | €6.0M | 6.67× |
| #4 | Hugo Larsson Eintracht Frankfurt | 21 | 21-23 | €40.0M | €6.0M | 6.67× |
| #5 | Malik Tillman Bayer 04 Leverkusen | 23 | 21-23 | €32.0M | €6.0M | 5.33× |
| #6 | Johan Bakayoko RB Leipzig | 23 | 21-23 | €30.0M | €6.0M | 5.00× |
| #7 | Tom Bischof Bayern Munich | 20 | U21 | €30.0M | €6.0M | 5.00× |
| #8 | Bilal El Khannouss VfB Stuttgart | 21 | 21-23 | €28.0M | €6.0M | 4.67× |
| #9 | Eliesse Ben Seghir Bayer 04 Leverkusen | 21 | 21-23 | €28.0M | €6.0M | 4.67× |
| #10 | Antonio Nusa RB Leipzig | 21 | 21-23 | €28.0M | €6.0M | 4.67× |
| #11 | Maximilian Beier Borussia Dortmund | 23 | 21-23 | €25.0M | €6.0M | 4.17× |
| #12 | Konstantinos Koulierakis VfL Wolfsburg | 22 | 21-23 | €25.0M | €6.0M | 4.17× |
| #13 | Paul Nebel 1.FSV Mainz 05 | 23 | 21-23 | €24.0M | €6.0M | 4.00× |
| #14 | Conrad Harder RB Leipzig | 21 | 21-23 | €24.0M | €6.0M | 4.00× |
| #15 | Chrislain Matsima FC Augsburg | 23 | 21-23 | €22.0M | €6.0M | 3.67× |
| #16 | Elye Wahi Eintracht Frankfurt | 23 | 21-23 | €22.0M | €6.0M | 3.67× |
| #17 | Nathaniel Brown Eintracht Frankfurt | 22 | 21-23 | €22.0M | €6.0M | 3.67× |
| #18 | Fábio Silva Borussia Dortmund | 23 | 21-23 | €20.0M | €6.0M | 3.33× |
| #19 | Yan Couto Borussia Dortmund | 23 | 21-23 | €20.0M | €6.0M | 3.33× |
| #20 | Jarell Quansah Bayer 04 Leverkusen | 23 | 21-23 | €20.0M | €6.0M | 3.33× |
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)
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 FC St. Pauli's Marwin Schmitz, who is 19 years old, with a +44% RPP (7 years to peak). Third is Matteo Bignetti of SK Sturm Graz, who is 21 years old with a +44% RPP (5 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 | Marwin Schmitz FC St. Pauli | 19 | 7 | €200K | €357K | +44% |
| #3 | Matteo Bignetti SK Sturm Graz | 21 | 5 | €400K | €715K | +44% |
| #4 | Patrice Covic SV Werder Bremen | 18 | 8 | €2.5M | €4.5M | +44% |
| #5 | Niklas Swider Borussia Mönchengladbach | 19 | 7 | €250K | €447K | +44% |
| #6 | Joane Gadou Red Bull Salzburg | 19 | 7 | €15.0M | €24.9M | +40% |
| #7 | Mathys Angély VfL Wolfsburg | 19 | 7 | €600K | €997K | +40% |
| #8 | Julien Duranville Borussia Dortmund | 19 | 7 | €8.5M | €14.1M | +40% |
| #9 | Almugera Kabar Borussia Dortmund | 19 | 7 | €1.0M | €1.7M | +40% |
| #10 | Assan Ouédraogo RB Leipzig | 19 | 7 | €7.0M | €11.6M | +40% |
| #11 | Mio Backhaus SV Werder Bremen | 22 | 4 | €2.0M | €3.3M | +40% |
| #12 | Tom Ritzy Hülsmann TSV Hartberg | 22 | 4 | €500K | €831K | +40% |
| #13 | Silas Ostrzinski Borussia Dortmund | 22 | 4 | €200K | €332K | +40% |
| #14 | Lúkas Petersson TSG 1899 Hoffenheim | 22 | 4 | €250K | €415K | +40% |
| #15 | Daniil Khudyakov SK Sturm Graz | 22 | 4 | €800K | €1.3M | +40% |
| #16 | Frank Feller 1.FC Heidenheim 1846 | 22 | 4 | €500K | €831K | +40% |
| #17 | Luka Vuskovic Hamburger SV | 19 | 7 | €12.0M | €19.9M | +40% |
| #18 | Noahkai Banks FC Augsburg | 19 | 7 | €6.0M | €10.0M | +40% |
| #19 | Finn Jeltsch VfB Stuttgart | 19 | 7 | €20.0M | €33.2M | +40% |
| #20 | Tidiam Gomis RB Leipzig | 19 | 7 | €3.0M | €5.0M | +40% |
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 SK Sturm Graz's Matteo Bignetti with a 103.3 RAU (23% upside, 0% uncertainty). Third is Mio Backhaus of SV Werder Bremen 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 | Matteo Bignetti SK Sturm Graz | €494K | €448K-539K | +23% | 103.3 |
| #3 | Mio Backhaus SV Werder Bremen | €2.4M | €2.2M-2.6M | +19% | 100.1 |
| #4 | Tom Ritzy Hülsmann TSV Hartberg | €595K | €548K-643K | +19% | 100.1 |
| #5 | Lúkas Petersson TSG 1899 Hoffenheim | €298K | €274K-321K | +19% | 100.1 |
| #6 | Frank Feller 1.FC Heidenheim 1846 | €595K | €548K-643K | +19% | 100.1 |
| #7 | Silas Ostrzinski Borussia Dortmund | €238K | €219K-257K | +19% | 100.1 |
| #8 | Daniil Khudyakov SK Sturm Graz | €953K | €876K-1.0M | +19% | 100.1 |
| #9 | Jonas Urbig Bayern Munich | €14.3M | €13.1M-15.4M | +19% | 100.1 |
| #10 | Noah Atubolu SC Freiburg | €20.6M | €19.0M-22.3M | +15% | 79.9 |
| #11 | Kauã Santos Eintracht Frankfurt | €2.9M | €2.6M-3.1M | +15% | 79.9 |
| #12 | Niklas Swider Borussia Mönchengladbach | €309K | €266K-351K | +23% | 68.9 |
| #13 | Marwin Schmitz FC St. Pauli | €247K | €213K-281K | +23% | 68.9 |
| #14 | Aleksandar Pavlovic Bayern Munich | €65.6M | €56.6M-74.7M | +19% | 58.7 |
| #15 | Mathys Angély VfL Wolfsburg | €714K | €616K-813K | +19% | 58.0 |
| #16 | Julien Duranville Borussia Dortmund | €10.1M | €8.7M-11.5M | +19% | 58.0 |
| #17 | Almugera Kabar Borussia Dortmund | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #18 | Finn Jeltsch VfB Stuttgart | €23.8M | €20.5M-27.1M | +19% | 58.0 |
| #19 | Luka Vuskovic Hamburger SV | €14.3M | €12.3M-16.3M | +19% | 58.0 |
| #20 | Noahkai Banks FC Augsburg | €7.1M | €6.2M-8.1M | +19% | 58.0 |
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: young player 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)
Bayer 04 Leverkusen's Alejo Sarco in the U21 age bracket has the highest Age-Share Concentration at +-5.5%. That means Tom Bischof captures 20.2% of total market value while representing only 25.7% of players in their age group—showing dominant elite status.
In second is FC St. Pauli's Marwin Schmitz with a +-5.5% ASC (20.2% value share vs 25.7% player share in U21 bracket). Third is Niklas Swider of Borussia Mönchengladbach with a +-5.5% ASC (20.2% value vs 25.7% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-5.5% ASC means the player captures -5.5% 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 | Alejo Sarco Bayer 04 Leverkusen | U21 | 20.2% | 25.7% | -5.5% |
| #2 | Marwin Schmitz FC St. Pauli | U21 | 20.2% | 25.7% | -5.5% |
| #3 | Niklas Swider Borussia Mönchengladbach | U21 | 20.2% | 25.7% | -5.5% |
| #4 | Mickael Dosso Wolfsberger AC | U21 | 20.2% | 25.7% | -5.5% |
| #5 | Bazoumana Touré TSG 1899 Hoffenheim | U21 | 20.2% | 25.7% | -5.5% |
| #6 | Joane Gadou Red Bull Salzburg | U21 | 20.2% | 25.7% | -5.5% |
| #7 | Mathys Angély VfL Wolfsburg | U21 | 20.2% | 25.7% | -5.5% |
| #8 | Patrice Covic SV Werder Bremen | U21 | 20.2% | 25.7% | -5.5% |
| #9 | Aarón Anselmino Borussia Dortmund | U21 | 20.2% | 25.7% | -5.5% |
| #10 | Ludwig Vraa Grazer AK 1902 | U21 | 20.2% | 25.7% | -5.5% |
| #11 | Fabio Chiarodia Borussia Mönchengladbach | U21 | 20.2% | 25.7% | -5.5% |
| #12 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | U21 | 20.2% | 25.7% | -5.5% |
| #13 | Elias Baum Eintracht Frankfurt | U21 | 20.2% | 25.7% | -5.5% |
| #14 | Mert Kömür FC Augsburg | U21 | 20.2% | 25.7% | -5.5% |
| #15 | El Chadaille Bitshiabu RB Leipzig | U21 | 20.2% | 25.7% | -5.5% |
| #16 | Bence Dárdai VfL Wolfsburg | U21 | 20.2% | 25.7% | -5.5% |
| #17 | Julius Beck SK Sturm Graz | U21 | 20.2% | 25.7% | -5.5% |
| #18 | Can Uzun Eintracht Frankfurt | U21 | 20.2% | 25.7% | -5.5% |
| #19 | Julien Duranville Borussia Dortmund | U21 | 20.2% | 25.7% | -5.5% |
| #20 | Tom Bischof Bayern Munich | U21 | 20.2% | 25.7% | -5.5% |
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: 26 immediate targets, 122 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
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 €1.0M. 1 undervalued, 3 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Joane Gadou Red Bull Salzburg | €15.0M | €6.0M | -3.00 | Undervalued |
Johan Bakayoko RB Leipzig | €30.0M | €6.0M | -1.25 | Good Value |
Rocco Reitz Borussia Mönchengladbach | €15.0M | €6.0M | -1.00 | Good Value |
Malik Tillman Bayer 04 Leverkusen | €32.0M | €6.0M | -1.00 | Good Value |
Aleksandar Pavlovic Bayern Munich | €55.0M | €6.0M | -1.00 | Good Value |
Jeanuël Belocian Bayer 04 Leverkusen | €15.0M | €6.0M | -1.00 | Good Value |
Jean-Mattéo Bahoya Eintracht Frankfurt | €17.0M | €6.0M | -1.00 | Good Value |
Mert Kömür FC Augsburg | €5.0M | €6.0M | -0.75 | Good Value |
Adam Daghim VfL Wolfsburg | €5.0M | €6.0M | -0.75 | Good Value |
Clement Bischoff Red Bull Salzburg | €5.0M | €6.0M | -0.75 | Good Value |
Jakub Kaminski 1.FC Köln | €5.0M | €6.0M | -0.63 | Good Value |
Igor Matanovic SC Freiburg | €5.0M | €6.0M | -0.63 | Good Value |
Anton Kade FC Augsburg | €5.0M | €6.0M | -0.63 | Good Value |
Tim Oermann SK Sturm Graz | €5.0M | €6.0M | -0.63 | Good Value |
Noah Atubolu SC Freiburg | €18.0M | €6.0M | -0.57 | Good Value |
Adam Hlozek TSG 1899 Hoffenheim | €18.0M | €6.0M | -0.57 | Good Value |
Carney Chukwuemeka Borussia Dortmund | €18.0M | €6.0M | -0.57 | Good Value |
Maxim Dal 1.FSV Mainz 05 | €150K | €6.0M | -0.53 | Good Value |
Mickael Dosso Wolfsberger AC | €175K | €6.0M | -0.52 | Good Value |
Marwin Schmitz FC St. Pauli | €200K | €6.0M | -0.50 | Fair Value |