Best U23 Young Players in the Bundesliga
132 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Bundesliga (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Bundesliga Young Players 2022-23
Our database tracked 132 Bundesliga Young Players in the 2022-23 season, representing 28 clubs with a combined market value of €1.5B. The average market value for Bundesliga Young Players was €11.6M, with the average age at 21 years old.
The most valuable young player in the Bundesliga was Jamal Musiala, worth €130.0M and played for Bayern Munich at 23 years old. The top 5 Young Players averaged €64.0M 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, €4.0M), while the oldest was Jamal Musiala (23 years, Bayern Munich, €130.0M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 132 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 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 Young Players. Identify undervalued assets and track market momentum across 28 clubs with €1.5B 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 (99 players, 75% of market). The 21-23 age group holds the most value at €1.2B, averaging €11.7M per player.
Top Young Players by Age Bracket
U21 Years (33 players)
21-23 Years (99 players)
Market Value Distribution
Elite Tier Concentration
The top 14 Young Players (11% of players) control €632.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Bundesliga ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Young Players
Among 28 Bundesliga clubs, Bayern Munich leads with 4 Young Players worth €247.0M (averaging €61.8M per player). The top 10 clubs account for 54% of tracked Young Players.
Bayern Munich (4 Young Players)
RB Leipzig (12 Young Players)
Eintracht Frankfurt (10 Young Players)
Bayer 04 Leverkusen (6 Young Players)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Jamal Musiala
Bayern Munich • 23 years old
€112.4M
€130.0M
+15.6%
Expected: €144.9M
95.5
Aleksandar Pavlovic
Bayern Munich • 22 years old
€56.2M
€65.0M
+15.6%
Expected: €74.6M
92.8
Castello Lukeba
RB Leipzig • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
87.7
Jarell Quansah
Bayer 04 Leverkusen • 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
Can Uzun
Eintracht Frankfurt • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €53.7M
84.9
Tom Bischof
Bayern Munich • 20 years old
€34.6M
€40.0M
+15.6%
Expected: €47.7M
84.6
Nathaniel Brown
Eintracht Frankfurt • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
84.0
Luka Vuskovic
Hamburger SV • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €49.6M
83.8
Antonio Nusa
RB Leipzig • 21 years old
€27.7M
€32.0M
+15.6%
Expected: €36.7M
82.3
Bilal El Khannouss
VfB Stuttgart • 22 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
82.0
Maximilian Beier
Borussia Dortmund • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
79.1
Fisnik Asllani
TSG 1899 Hoffenheim • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
79.1
Fábio Silva
Borussia Dortmund • 23 years old
€24.2M
€28.0M
+15.6%
Expected: €30.0M
78.2
Brajan Gruda
RB Leipzig • 22 years old
€24.2M
€28.0M
+15.6%
Expected: €29.6M
77.6
Johan Manzambi
SC Freiburg • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
Johan Bakayoko
RB Leipzig • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €26.8M
76.8
Assan Ouédraogo
RB Leipzig • 20 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
76.4
Carney Chukwuemeka
Borussia Dortmund • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.2
Konstantinos Koulierakis
VfL Wolfsburg • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.2
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 18.57×. That means Jamal Musiala is valued 18.57× 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 22 years old, with a 9.29× PPVE. Third is Can Uzun of Eintracht Frankfurt, who is 20 years old with a 9.00× 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 18.57× means the player is worth 1757% 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 | €130.0M | €7.0M | 18.57× |
| #2 | Aleksandar Pavlovic Bayern Munich | 22 | 21-23 | €65.0M | €7.0M | 9.29× |
| #3 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €5.0M | 9.00× |
| #4 | Tom Bischof Bayern Munich | 20 | U21 | €40.0M | €5.0M | 8.00× |
| #5 | Luka Vuskovic Hamburger SV | 19 | U21 | €40.0M | €5.0M | 8.00× |
| #6 | Castello Lukeba RB Leipzig | 23 | 21-23 | €45.0M | €7.0M | 6.43× |
| #7 | Johan Manzambi SC Freiburg | 20 | U21 | €30.0M | €5.0M | 6.00× |
| #8 | Jarell Quansah Bayer 04 Leverkusen | 23 | 21-23 | €40.0M | €7.0M | 5.71× |
| #9 | Hugo Larsson Eintracht Frankfurt | 21 | 21-23 | €40.0M | €7.0M | 5.71× |
| #10 | Assan Ouédraogo RB Leipzig | 20 | U21 | €28.0M | €5.0M | 5.60× |
| #11 | Bazoumana Touré TSG 1899 Hoffenheim | 20 | U21 | €25.0M | €5.0M | 5.00× |
| #12 | Nathaniel Brown Eintracht Frankfurt | 22 | 21-23 | €35.0M | €7.0M | 5.00× |
| #13 | Ibrahim Maza Bayer 04 Leverkusen | 20 | U21 | €25.0M | €5.0M | 5.00× |
| #14 | Finn Jeltsch VfB Stuttgart | 19 | U21 | €25.0M | €5.0M | 5.00× |
| #15 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €32.0M | €7.0M | 4.57× |
| #16 | Antonio Nusa RB Leipzig | 21 | 21-23 | €32.0M | €7.0M | 4.57× |
| #17 | Fisnik Asllani TSG 1899 Hoffenheim | 23 | 21-23 | €30.0M | €7.0M | 4.29× |
| #18 | Maximilian Beier Borussia Dortmund | 23 | 21-23 | €30.0M | €7.0M | 4.29× |
| #19 | Fábio Silva Borussia Dortmund | 23 | 21-23 | €28.0M | €7.0M | 4.00× |
| #20 | Brajan Gruda RB Leipzig | 22 | 21-23 | €28.0M | €7.0M | 4.00× |
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 Patrice Covic of SV Werder Bremen, who is 18 years old with a +44% RPP (8 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 | Patrice Covic SV Werder Bremen | 18 | 8 | €4.0M | €7.1M | +44% |
| #4 | Niklas Swider Borussia Mönchengladbach | 19 | 7 | €250K | €447K | +44% |
| #5 | Jonathan Norbye RB Leipzig | 19 | 7 | €300K | €499K | +40% |
| #6 | Mathys Angély VfL Wolfsburg | 19 | 7 | €600K | €997K | +40% |
| #7 | Noahkai Banks FC Augsburg | 19 | 7 | €15.0M | €24.9M | +40% |
| #8 | Finn Jeltsch VfB Stuttgart | 19 | 7 | €25.0M | €41.5M | +40% |
| #9 | Matteo Bignetti SK Sturm Graz | 22 | 4 | €400K | €665K | +40% |
| #10 | Tom Ritzy Hülsmann TSV Hartberg | 22 | 4 | €800K | €1.3M | +40% |
| #11 | Silas Ostrzinski Borussia Dortmund | 22 | 4 | €200K | €332K | +40% |
| #12 | Lúkas Petersson TSG 1899 Hoffenheim | 22 | 4 | €600K | €997K | +40% |
| #13 | Daniil Khudyakov SK Sturm Graz | 22 | 4 | €700K | €1.2M | +40% |
| #14 | Emil Gazdov FC St. Pauli | 22 | 4 | €175K | €291K | +40% |
| #15 | Frank Feller 1.FC Heidenheim 1846 | 22 | 4 | €500K | €831K | +40% |
| #16 | Joane Gadou Red Bull Salzburg | 19 | 7 | €12.0M | €19.9M | +40% |
| #17 | Luka Vuskovic Hamburger SV | 19 | 7 | €40.0M | €66.5M | +40% |
| #18 | Tidiam Gomis RB Leipzig | 19 | 7 | €3.0M | €5.0M | +40% |
| #19 | Jonas Urbig Bayern Munich | 22 | 4 | €12.0M | €19.9M | +40% |
| #20 | Mio Backhaus SV Werder Bremen | 22 | 4 | €10.0M | €16.6M | +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 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 | Luka Vuskovic Hamburger SV | €49.6M | €42.7M-56.4M | +24% | 70.0 |
| #13 | Niklas Swider Borussia Mönchengladbach | €309K | €266K-351K | +23% | 68.9 |
| #14 | Marwin Schmitz FC St. Pauli | €247K | €213K-281K | +23% | 68.9 |
| #15 | Tom Bischof Bayern Munich | €47.7M | €41.1M-54.3M | +19% | 58.7 |
| #16 | Jonathan Norbye RB Leipzig | €357K | €308K-407K | +19% | 58.0 |
| #17 | Mathys Angély VfL Wolfsburg | €714K | €616K-813K | +19% | 58.0 |
| #18 | Joane Gadou Red Bull Salzburg | €14.3M | €12.3M-16.3M | +19% | 58.0 |
| #19 | Tidiam Gomis RB Leipzig | €3.6M | €3.1M-4.1M | +19% | 58.0 |
| #20 | Finn Jeltsch VfB Stuttgart | €29.8M | €25.7M-33.9M | +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 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)
LASK's João Tornich in the 21-23 age bracket has the highest Age-Share Concentration at +0.8%. That means Jamal Musiala captures 75.8% of total market value while representing only 75.0% of players in their age group-showing dominant elite status.
In second is SV Ried's Kingstone Mutandwa with a +0.8% ASC (75.8% value share vs 75.0% player share in 21-23 bracket). Third is Kento Shiogai of VfL Wolfsburg with a +0.8% ASC (75.8% value vs 75.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +0.8% ASC means the player captures 0.8% 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 | João Tornich LASK | 21-23 | 75.8% | 75.0% | +0.8% |
| #2 | Kingstone Mutandwa SV Ried | 21-23 | 75.8% | 75.0% | +0.8% |
| #3 | Kento Shiogai VfL Wolfsburg | 21-23 | 75.8% | 75.0% | +0.8% |
| #4 | Abdoulie Ceesay FC St. Pauli | 21-23 | 75.8% | 75.0% | +0.8% |
| #5 | Paul Nebel 1.FSV Mainz 05 | 21-23 | 75.8% | 75.0% | +0.8% |
| #6 | Joe Scally Borussia Mönchengladbach | 21-23 | 75.8% | 75.0% | +0.8% |
| #7 | Giovanni Reyna Borussia Mönchengladbach | 21-23 | 75.8% | 75.0% | +0.8% |
| #8 | Fábio Silva Borussia Dortmund | 21-23 | 75.8% | 75.0% | +0.8% |
| #9 | Jamie Lawrence WSG Tirol | 21-23 | 75.8% | 75.0% | +0.8% |
| #10 | Luca Netz Borussia Mönchengladbach | 21-23 | 75.8% | 75.0% | +0.8% |
| #11 | Fisnik Asllani TSG 1899 Hoffenheim | 21-23 | 75.8% | 75.0% | +0.8% |
| #12 | Janis Antiste Rapid Vienna | 21-23 | 75.8% | 75.0% | +0.8% |
| #13 | Luca Jaquez VfB Stuttgart | 21-23 | 75.8% | 75.0% | +0.8% |
| #14 | Adam Hlozek TSG 1899 Hoffenheim | 21-23 | 75.8% | 75.0% | +0.8% |
| #15 | Johan Bakayoko RB Leipzig | 21-23 | 75.8% | 75.0% | +0.8% |
| #16 | Armindo Sieb 1.FSV Mainz 05 | 21-23 | 75.8% | 75.0% | +0.8% |
| #17 | Grant-Leon Ranos Borussia Mönchengladbach | 21-23 | 75.8% | 75.0% | +0.8% |
| #18 | Maximilian Beier Borussia Dortmund | 21-23 | 75.8% | 75.0% | +0.8% |
| #19 | Ísak Jóhannesson 1.FC Köln | 21-23 | 75.8% | 75.0% | +0.8% |
| #20 | Jamal Musiala Bayern Munich | 21-23 | 75.8% | 75.0% | +0.8% |
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: 24 immediate targets, 108 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 €130.0M. 1 undervalued, 4 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Johan Manzambi SC Freiburg | €30.0M | €7.0M | -2.00 | Undervalued |
Aleksandar Pavlovic Bayern Munich | €65.0M | €7.0M | -1.00 | Good Value |
Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.0M | €7.0M | -0.67 | Good Value |
Elias Baum Eintracht Frankfurt | €5.0M | €7.0M | -0.67 | Good Value |
Cole Campbell TSG 1899 Hoffenheim | €5.0M | €7.0M | -0.67 | Good Value |
Clement Bischoff Red Bull Salzburg | €5.0M | €7.0M | -0.67 | Good Value |
Mahmut Kücüksahin FC Augsburg | €175K | €7.0M | -0.66 | Good Value |
Emil Gazdov FC St. Pauli | €175K | €7.0M | -0.66 | Good Value |
Silas Ostrzinski Borussia Dortmund | €200K | €7.0M | -0.65 | Good Value |
Fisnik Asllani TSG 1899 Hoffenheim | €30.0M | €7.0M | -0.63 | Good Value |
Maximilian Beier Borussia Dortmund | €30.0M | €7.0M | -0.63 | Good Value |
Matteo Bignetti SK Sturm Graz | €400K | €7.0M | -0.55 | Good Value |
David Preu 1.FC Union Berlin | €400K | €7.0M | -0.55 | Good Value |
Elias Bakatukanda FC Blau-Weiss Linz | €400K | €7.0M | -0.55 | Good Value |
Ademola Ola-Adebomi WSG Tirol | €400K | €7.0M | -0.55 | Good Value |
Adam Hlozek TSG 1899 Hoffenheim | €15.0M | €7.0M | -0.50 | Fair Value |
Fin Stevens FC St. Pauli | €500K | €7.0M | -0.50 | Fair Value |
William Bøving 1.FSV Mainz 05 | €5.0M | €7.0M | -0.50 | Fair Value |
Tiago Tomás VfB Stuttgart | €15.0M | €7.0M | -0.50 | Fair Value |
Jenson Seelt VfL Wolfsburg | €5.0M | €7.0M | -0.50 | Fair Value |