Best U23 Young Players in the Serie A
123 players aged 23 or under · ranked by Analytical Strength Score
Best Young Players in the Serie A (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Young Players 2024-25
Our database tracked 123 Serie A Young Players in the 2024-25 season, representing 21 clubs with a combined market value of €1.2B. The average market value for Serie A Young Players was €9.5M, with the average age at 21.6 years old.
The most valuable young player in the Serie A was Kenan Yıldız, worth €75.0M and played for Juventus FC at 20 years old. The top 5 Young Players averaged €48.4M in market value, including Nico Paz and Rasmus Højlund.
Age distribution showed the youngest tracked young player was Honest Ahanor (18 years, Atalanta BC, €20.0M), while the oldest was Rasmus Højlund (23 years, SSC Napoli, €45.0M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 123 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 Serie A 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 Serie A
Interactive bubble chart showing predicted 2-year growth vs current age for all Serie A Young Players. Identify undervalued assets and track market momentum across 21 clubs with €1.2B combined value.
Age Distribution: Serie A Young Players
The Serie A ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (98 players, 80% of market). The 21-23 age group holds the most value at €912.3M, averaging €9.3M per player.
Top Young Players by Age Bracket
U21 Years (25 players)
21-23 Years (98 players)
Market Value Distribution
Elite Tier Concentration
The top 13 Young Players (11% of players) control €477.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Serie A ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Young Players
Among 21 Serie A clubs, Como 1907 leads with 7 Young Players worth €152.0M (averaging €21.7M per player). The top 10 clubs account for 53% of tracked Young Players.
Como 1907 (7 Young Players)
AS Roma (9 Young Players)
Juventus FC (5 Young Players)
Bologna FC 1909 (5 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.
Kenan Yıldız
Juventus FC • 20 years old
€64.9M
€75.0M
+15.6%
Expected: €89.5M
91.9
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €63.1M
88.0
Rasmus Højlund
SSC Napoli • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
87.7
Matías Soulé
AS Roma • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
84.6
Ardon Jashari
AC Milan • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
84.0
Giorgio Scalvini
Atalanta BC • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
84.0
Santiago Castro
Bologna FC 1909 • 21 years old
€30.3M
€35.0M
+15.6%
Expected: €40.2M
83.4
Francisco Conceição
Juventus FC • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
79.1
Jesús Rodríguez
Como 1907 • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
Assane Diao
Como 1907 • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
Wesley
AS Roma • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.2
Evan Ferguson
AS Roma • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
75.6
Pietro Comuzzo
ACF Fiorentina • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
75.6
Koni De Winter
AC Milan • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Ange-Yoan Bonny
Inter Milan • 22 years old
€19.9M
€23.0M
+15.6%
Expected: €24.3M
75.2
Zion Suzuki
Parma Calcio 1913 • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
74.3
Yunus Musah
Atalanta BC • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
Andy Diouf
Inter Milan • 22 years old
€15.6M
€18.0M
+15.6%
Expected: €19.1M
72.1
Jonathan Rowe
Bologna FC 1909 • 22 years old
€14.7M
€17.0M
+15.6%
Expected: €18.0M
71.4
Honest Ahanor
Atalanta BC • 18 years old
€17.3M
€20.0M
+15.6%
Expected: €24.7M
71.0
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)
Juventus FC's Kenan Yıldız at 20 years old has the highest Pre-Peak Value Efficiency at 15.00×. That means Kenan Yıldız is valued 15.00× higher than the median player in the U21 age bracket—representing exceptional value before reaching peak age.
In second is Como 1907's Nico Paz, who is 21 years old, with a 9.17× PPVE. Third is Rasmus Højlund of SSC Napoli, who is 23 years old with a 7.50× 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 15.00× means the player is worth 1400% 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 | Kenan Yıldız Juventus FC | 20 | U21 | €75.0M | €5.0M | 15.00× |
| #2 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €6.0M | 9.17× |
| #3 | Rasmus Højlund SSC Napoli | 23 | 21-23 | €45.0M | €6.0M | 7.50× |
| #4 | Assane Diao Como 1907 | 20 | U21 | €30.0M | €5.0M | 6.00× |
| #5 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €5.0M | 6.00× |
| #6 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €35.0M | €6.0M | 5.83× |
| #7 | Matías Soulé AS Roma | 23 | 21-23 | €35.0M | €6.0M | 5.83× |
| #8 | Santiago Castro Bologna FC 1909 | 21 | 21-23 | €35.0M | €6.0M | 5.83× |
| #9 | Ardon Jashari AC Milan | 23 | 21-23 | €32.0M | €6.0M | 5.33× |
| #10 | Francisco Conceição Juventus FC | 23 | 21-23 | €30.0M | €6.0M | 5.00× |
| #11 | Evan Ferguson AS Roma | 21 | 21-23 | €25.0M | €6.0M | 4.17× |
| #12 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €25.0M | €6.0M | 4.17× |
| #13 | Wesley AS Roma | 22 | 21-23 | €25.0M | €6.0M | 4.17× |
| #14 | Honest Ahanor Atalanta BC | 18 | U21 | €20.0M | €5.0M | 4.00× |
| #15 | Ange-Yoan Bonny Inter Milan | 22 | 21-23 | €23.0M | €6.0M | 3.83× |
| #16 | Koni De Winter AC Milan | 23 | 21-23 | €22.0M | €6.0M | 3.67× |
| #17 | Zion Suzuki Parma Calcio 1913 | 23 | 21-23 | €20.0M | €6.0M | 3.33× |
| #18 | Yunus Musah Atalanta BC | 23 | 21-23 | €20.0M | €6.0M | 3.33× |
| #19 | Andy Diouf Inter Milan | 22 | 21-23 | €18.0M | €6.0M | 3.00× |
| #20 | Jonathan Rowe Bologna FC 1909 | 22 | 21-23 | €17.0M | €6.0M | 2.83× |
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)
ACF Fiorentina's Tommaso Martinelli at 20 years old has the highest Return-to-Peak Potential at +48%. That means Tommaso Martinelli is projected to appreciate 48% as they reach their peak age in 6 years—representing significant upside before entering their prime.
In second is Udinese Calcio's Matteo Palma, who is 18 years old, with a +44% RPP (8 years to peak). Third is Francesco Camarda of US Lecce, 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 | Tommaso Martinelli ACF Fiorentina | 20 | 6 | €1.8M | €3.5M | +48% |
| #2 | Matteo Palma Udinese Calcio | 18 | 8 | €2.5M | €4.5M | +44% |
| #3 | Francesco Camarda US Lecce | 18 | 8 | €10.0M | €17.9M | +44% |
| #4 | Honest Ahanor Atalanta BC | 18 | 8 | €20.0M | €35.7M | +44% |
| #5 | Buba Sangaré AS Roma | 18 | 8 | €1.0M | €1.8M | +44% |
| #6 | Lorenzo Torriani AC Milan | 21 | 5 | €500K | €894K | +44% |
| #7 | Lorran Pisa Sporting Club | 19 | 7 | €9.0M | €15.0M | +40% |
| #8 | Seydou Fini Genoa CFC | 19 | 7 | €1.3M | €2.2M | +40% |
| #9 | Lennon Miller Udinese Calcio | 19 | 7 | €8.0M | €13.3M | +40% |
| #10 | Jeff Ekhator Genoa CFC | 19 | 7 | €7.0M | €11.6M | +40% |
| #11 | Vasilije Adžić Juventus FC | 19 | 7 | €8.0M | €13.3M | +40% |
| #12 | Naj Razi Without Club | 19 | 7 | €300K | €499K | +40% |
| #13 | İsak Vural Pisa Sporting Club | 19 | 7 | €4.5M | €7.5M | +40% |
| #14 | Luca Lipani US Sassuolo | 20 | 6 | €4.5M | €7.5M | +40% |
| #15 | Gioele Zacchi US Sassuolo | 22 | 4 | €600K | €997K | +40% |
| #16 | David Odogu AC Milan | 19 | 7 | €5.0M | €8.3M | +40% |
| #17 | Juan Rodríguez Cagliari Calcio | 20 | 6 | €3.0M | €4.6M | +35% |
| #18 | Semih Kılıçsoy Cagliari Calcio | 20 | 6 | €12.0M | €18.5M | +35% |
| #19 | Davide Bartesaghi AC Milan | 20 | 6 | €3.0M | €4.6M | +35% |
| #20 | Assane Diao Como 1907 | 20 | 6 | €30.0M | €46.4M | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
ACF Fiorentina's Tommaso Martinelli has the highest Risk-Adjusted Upside at 118.5. That means Tommaso Martinelli has 28% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is AC Milan's Lorenzo Torriani with a 103.3 RAU (23% upside, 0% uncertainty). Third is Gioele Zacchi of US Sassuolo 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 | Tommaso Martinelli ACF Fiorentina | €2.3M | €2.1M-2.5M | +28% | 118.5 |
| #2 | Lorenzo Torriani AC Milan | €617K | €561K-674K | +23% | 103.3 |
| #3 | Gioele Zacchi US Sassuolo | €714K | €657K-772K | +19% | 100.1 |
| #4 | Zion Suzuki Parma Calcio 1913 | €22.9M | €21.1M-24.8M | +15% | 79.9 |
| #5 | Răzvan Sava Udinese Calcio | €2.9M | €2.6M-3.1M | +15% | 79.9 |
| #6 | Filippo Rinaldi Parma Calcio 1913 | €373K | €343K-402K | +15% | 79.9 |
| #7 | Matteo Palma Udinese Calcio | €3.1M | €2.7M-3.5M | +23% | 68.9 |
| #8 | Francesco Camarda US Lecce | €12.3M | €10.6M-14.1M | +23% | 68.9 |
| #9 | Honest Ahanor Atalanta BC | €24.7M | €21.3M-28.1M | +23% | 68.9 |
| #10 | Buba Sangaré AS Roma | €1.2M | €1.1M-1.4M | +23% | 68.9 |
| #11 | Kenan Yıldız Juventus FC | €89.5M | €77.2M-101.9M | +19% | 58.7 |
| #12 | Lennon Miller Udinese Calcio | €9.5M | €8.2M-10.8M | +19% | 58.0 |
| #13 | David Odogu AC Milan | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #14 | Luca Lipani US Sassuolo | €5.4M | €4.6M-6.1M | +19% | 58.0 |
| #15 | İsak Vural Pisa Sporting Club | €5.4M | €4.6M-6.1M | +19% | 58.0 |
| #16 | Jeff Ekhator Genoa CFC | €8.3M | €7.2M-9.5M | +19% | 58.0 |
| #17 | Seydou Fini Genoa CFC | €1.5M | €1.3M-1.8M | +19% | 58.0 |
| #18 | Santiago Castro Bologna FC 1909 | €40.2M | €34.6M-45.7M | +15% | 46.6 |
| #19 | Naj Razi Without Club | €357K | €296K-419K | +19% | 46.4 |
| #20 | Vasilije Adžić Juventus FC | €9.5M | €7.9M-11.2M | +19% | 46.4 |
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)
Torino FC's Ali Dembélé in the 21-23 age bracket has the highest Age-Share Concentration at +-1.8%. That means Nico Paz captures 77.9% of total market value while representing only 79.7% of players in their age group—showing dominant elite status.
In second is Hellas Verona's Gift Orban with a +-1.8% ASC (77.9% value share vs 79.7% player share in 21-23 bracket). Third is Christian Ordóñez of Parma Calcio 1913 with a +-1.8% ASC (77.9% value vs 79.7% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-1.8% ASC means the player captures -1.8% 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 | Ali Dembélé Torino FC | 21-23 | 77.9% | 79.7% | -1.8% |
| #2 | Gift Orban Hellas Verona | 21-23 | 77.9% | 79.7% | -1.8% |
| #3 | Christian Ordóñez Parma Calcio 1913 | 21-23 | 77.9% | 79.7% | -1.8% |
| #4 | Junior Ajayi Hellas Verona | 21-23 | 77.9% | 79.7% | -1.8% |
| #5 | Tiago Gabriel US Lecce | 21-23 | 77.9% | 79.7% | -1.8% |
| #6 | Mateus Lusuardi Pisa Sporting Club | 21-23 | 77.9% | 79.7% | -1.8% |
| #7 | Mariano Troilo Parma Calcio 1913 | 21-23 | 77.9% | 79.7% | -1.8% |
| #8 | Matías Pérez US Lecce | 21-23 | 77.9% | 79.7% | -1.8% |
| #9 | Zion Suzuki Parma Calcio 1913 | 21-23 | 77.9% | 79.7% | -1.8% |
| #10 | Francisco Conceição Juventus FC | 21-23 | 77.9% | 79.7% | -1.8% |
| #11 | Koni De Winter AC Milan | 21-23 | 77.9% | 79.7% | -1.8% |
| #12 | Aster Vranckx US Sassuolo | 21-23 | 77.9% | 79.7% | -1.8% |
| #13 | Yunus Musah Atalanta BC | 21-23 | 77.9% | 79.7% | -1.8% |
| #14 | Sebastiano Esposito Cagliari Calcio | 21-23 | 77.9% | 79.7% | -1.8% |
| #15 | Tomas Suslov Hellas Verona | 21-23 | 77.9% | 79.7% | -1.8% |
| #16 | Devyne Rensch AS Roma | 21-23 | 77.9% | 79.7% | -1.8% |
| #17 | Edoardo Bove AS Roma | 21-23 | 77.9% | 79.7% | -1.8% |
| #18 | Josh Doig US Sassuolo | 21-23 | 77.9% | 79.7% | -1.8% |
| #19 | Jeremy Sarmiento US Cremonese | 21-23 | 77.9% | 79.7% | -1.8% |
| #20 | Adam Obert Cagliari Calcio | 21-23 | 77.9% | 79.7% | -1.8% |
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: 17 immediate targets, 106 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 €75.0M. 2 undervalued, 3 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
David Odogu AC Milan | €5.0M | €6.0M | -1.75 | Undervalued |
Francisco Conceição Juventus FC | €30.0M | €6.0M | -1.67 | Undervalued |
Zanos Savva Torino FC | €200K | €6.0M | -1.35 | Good Value |
Naj Razi Without Club | €300K | €6.0M | -1.29 | Good Value |
Ardon Jashari AC Milan | €32.0M | €6.0M | -1.00 | Good Value |
Buba Sangaré AS Roma | €1.0M | €6.0M | -0.88 | Good Value |
Jeppe Corfitzen Without Club | €250K | €6.0M | -0.80 | Good Value |
Junior Ajayi Hellas Verona | €300K | €6.0M | -0.77 | Good Value |
Hugo Cuenca Genoa CFC | €300K | €6.0M | -0.77 | Good Value |
Filippo Rinaldi Parma Calcio 1913 | €325K | €6.0M | -0.76 | Good Value |
Jeff Ekhator Genoa CFC | €7.0M | €6.0M | -0.75 | Good Value |
Nicolò Cavuoti Cagliari Calcio | €400K | €6.0M | -0.73 | Good Value |
Seydou Fini Genoa CFC | €1.3M | €6.0M | -0.71 | Good Value |
Yeferson Paz US Sassuolo | €450K | €6.0M | -0.70 | Good Value |
Matías Pérez US Lecce | €500K | €6.0M | -0.68 | Good Value |
Daniel Oyegoke Hellas Verona | €500K | €6.0M | -0.68 | Good Value |
Lorenzo Torriani AC Milan | €500K | €6.0M | -0.68 | Good Value |
Gioele Zacchi US Sassuolo | €600K | €6.0M | -0.64 | Good Value |
Edoardo Bove AS Roma | €5.0M | €6.0M | -0.63 | Good Value |
Josh Doig US Sassuolo | €5.0M | €6.0M | -0.63 | Good Value |
