Best U23 Young Players in the Serie A
211 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Serie A (Sep 2026)
Ranked by Analytical Strength Index
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.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Nico Paz
Como 1907 • 22 years old
€69.2M
€80.0M
+15.6%
Expected: €77.8M
93.5
Kenan Yıldız
Juventus FC • 21 years old
€64.9M
€75.0M
+15.6%
Expected: €75.7M
92.1
Rasmus Højlund
SSC Napoli • 23 years old
€51.9M
€60.0M
+15.6%
Expected: €61.6M
89.8
Wesley
Associazione Sportiva Roma • 23 years old
€34.6M
€40.0M
+15.6%
Expected: €38.9M
86.7
Pio Esposito
Inter Milan • 21 years old
€38.9M
€45.0M
+15.6%
Expected: €45.4M
85.9
Giorgio Scalvini
Atalanta BC • 22 years old
€32.9M
€38.0M
+15.6%
Expected: €38.4M
85.8
Petar Sučić
Inter Milan • 22 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
85.4
Marco Palestra
Cagliari Calcio • 21 years old
€30.3M
€35.0M
+15.6%
Expected: €35.3M
84.4
Máximo Perrone
Como 1907 • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €34.1M
84.2
Ange-Yoan Bonny
Inter Milan • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €35.3M
83.7
Matías Soulé
Associazione Sportiva Roma • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €35.9M
83.3
Santiago Castro
Bologna Football Club 1909 • 21 years old
€27.7M
€32.0M
+15.6%
Expected: €32.3M
81.8
Jacobo Ramón
Como 1907 • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €29.1M
78.9
Martin Baturina
Como 1907 • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €28.0M
78.6
Francisco Conceição
Juventus FC • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €30.8M
78.4
Honest Ahanor
Atalanta BC • 18 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
78.0
Assane Diao
Como 1907 • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €30.3M
78.0
Niccolò Pisilli
Associazione Sportiva Roma • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €29.1M
77.8
Alisson Santos
SSC Napoli • 23 years old
€24.2M
€28.0M
+15.6%
Expected: €29.8M
77.6
Tarik Muharemović
US Sassuolo • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €24.3M
77.1
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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 25 clubs with €1.7B 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 (152 players, 72% of market). The 21-23 age group holds the most value at €1.5B, averaging €9.6M per player.
Top Young Players by Age Bracket
U21 Years (58 players)
21-23 Years (152 players)
Market Value Distribution
Elite Tier Concentration
The top 21 Young Players (10% of players) control €813.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the Serie A ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Young Players
Among 25 Serie A clubs, Como 1907 leads with 12 Young Players worth €283.3M (averaging €23.6M per player). The top 10 clubs account for 54% of tracked Young Players.
Como 1907 (12 Young Players)
Associazione Sportiva Roma (12 Young Players)
Juventus FC (13 Young Players)
Inter Milan (13 Young Players)
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)
Como 1907's Nico Paz at 22 years old has the highest Pre-Peak Value Efficiency at 20.00×. That means Nico Paz is valued 20.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Juventus FC's Kenan Yıldız, who is 21 years old, with a 18.75× PPVE. Third is Honest Ahanor of Atalanta BC, who is 18 years old with a 15.00× 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 20.00× means the player is worth 1900% 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 | Nico Paz Como 1907 | 22 | 21-23 | €80.0M | €4.0M | 20.00× |
| #2 | Kenan Yıldız Juventus FC | 21 | 21-23 | €75.0M | €4.0M | 18.75× |
| #3 | Honest Ahanor Atalanta BC | 18 | U21 | €30.0M | €2.0M | 15.00× |
| #4 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €2.0M | 15.00× |
| #5 | Rasmus Højlund SSC Napoli | 23 | 21-23 | €60.0M | €4.0M | 15.00× |
| #6 | Pio Esposito Inter Milan | 21 | 21-23 | €45.0M | €4.0M | 11.25× |
| #7 | Davide Bartesaghi AC Milan | 20 | U21 | €22.0M | €2.0M | 11.00× |
| #8 | Petar Sučić Inter Milan | 22 | 21-23 | €40.0M | €4.0M | 10.00× |
| #9 | Wesley Associazione Sportiva Roma | 23 | 21-23 | €40.0M | €4.0M | 10.00× |
| #10 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €38.0M | €4.0M | 9.50× |
| #11 | Jeff Ekhator Genoa CFC | 19 | U21 | €18.0M | €2.0M | 9.00× |
| #12 | Máximo Perrone Como 1907 | 23 | 21-23 | €35.0M | €4.0M | 8.75× |
| #13 | Matías Soulé Associazione Sportiva Roma | 23 | 21-23 | €35.0M | €4.0M | 8.75× |
| #14 | Ange-Yoan Bonny Inter Milan | 22 | 21-23 | €35.0M | €4.0M | 8.75× |
| #15 | Marco Palestra Cagliari Calcio | 21 | 21-23 | €35.0M | €4.0M | 8.75× |
| #16 | Santiago Castro Bologna Football Club 1909 | 21 | 21-23 | €32.0M | €4.0M | 8.00× |
| #17 | Francesco Camarda US Lecce | 18 | U21 | €15.0M | €2.0M | 7.50× |
| #18 | Assane Diao Como 1907 | 21 | 21-23 | €30.0M | €4.0M | 7.50× |
| #19 | Francisco Conceição Juventus FC | 23 | 21-23 | €30.0M | €4.0M | 7.50× |
| #20 | Martin Baturina Como 1907 | 23 | 21-23 | €30.0M | €4.0M | 7.50× |
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)
Bologna Football Club 1909's Massimo Pessina at 18 years old has the highest Return-to-Peak Potential at +58%. That means Massimo Pessina is projected to appreciate 58% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Udinese Calcio's Alessandro Nunziante, who is 19 years old, with a +55% RPP (7 years to peak). Third is Henrique Menke of Como 1907, who is 19 years old with a +55% RPP (7 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 58% RPP means the player is expected to gain 58% 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 | Massimo Pessina Bologna Football Club 1909 | 18 | 8 | €3.5M | €8.4M | +58% |
| #2 | Alessandro Nunziante Udinese Calcio | 19 | 7 | €1.8M | €4.0M | +55% |
| #3 | Henrique Menke Como 1907 | 19 | 7 | €1.5M | €3.3M | +55% |
| #4 | Ernestas Lysionok Genoa CFC | 19 | 7 | €600K | €1.3M | +55% |
| #5 | Lapo Siviero Torino FC | 19 | 7 | €500K | €1.1M | +55% |
| #6 | Matteo Palma Udinese Calcio | 18 | 8 | €5.0M | €10.3M | +52% |
| #7 | Honest Ahanor Atalanta BC | 18 | 8 | €30.0M | €62.0M | +52% |
| #8 | Tommaso Martinelli ACF Fiorentina | 20 | 6 | €2.0M | €4.1M | +52% |
| #9 | Federico Steffanoni Atalanta BC | 18 | 8 | €800K | €1.5M | +48% |
| #10 | Adrian Lahdo Como 1907 | 18 | 8 | €10.0M | €19.2M | +48% |
| #11 | Eman Košpo ACF Fiorentina | 19 | 7 | €1.5M | €2.9M | +48% |
| #12 | Branimir Mlacic Udinese Calcio | 19 | 7 | €5.0M | €9.6M | +48% |
| #13 | Buba Sangaré Associazione Sportiva Roma | 19 | 7 | €4.5M | €8.6M | +48% |
| #14 | Matteo Cocchi Inter Milan | 19 | 7 | €1.5M | €2.9M | +48% |
| #15 | Giovanni Daffara Juventus FC | 21 | 5 | €600K | €1.2M | +48% |
| #16 | Edoardo Motta Società Sportiva Lazio S.p.A. | 21 | 5 | €8.0M | €15.4M | +48% |
| #17 | Lorenzo Torriani AC Milan | 21 | 5 | €800K | €1.5M | +48% |
| #18 | Francesco Camarda US Lecce | 18 | 8 | €15.0M | €26.8M | +44% |
| #19 | Adrian Przyborek Società Sportiva Lazio S.p.A. | 19 | 7 | €6.0M | €10.7M | +44% |
| #20 | Alphadjo Cissè Hellas Verona | 19 | 7 | €6.0M | €10.7M | +44% |
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 76.5. That means Tommaso Martinelli has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Torino FC's Lapo Siviero with a 76.5 RAU (16% upside, 0% uncertainty). Third is Ernestas Lysionok of Genoa CFC with a 76.5 RAU (16% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 76.5 means the upside is 76.5× 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 | +16% | 76.5 |
| #2 | Lapo Siviero Torino FC | €582K | €528K-635K | +16% | 76.5 |
| #3 | Ernestas Lysionok Genoa CFC | €698K | €634K-762K | +16% | 76.5 |
| #4 | Massimo Pessina Bologna Football Club 1909 | €4.1M | €3.7M-4.4M | +16% | 76.5 |
| #5 | Alessandro Nunziante Udinese Calcio | €2.1M | €1.9M-2.3M | +16% | 76.5 |
| #6 | Henrique Menke Como 1907 | €1.7M | €1.6M-1.9M | +16% | 76.5 |
| #7 | Matteo Palma Udinese Calcio | €5.8M | €5.1M-6.5M | +16% | 61.2 |
| #8 | Gabriele Re Cecconi Inter Milan | €772K | €683K-861K | +10% | 40.4 |
| #9 | Luis Balbo ACF Fiorentina | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #10 | Eman Košpo ACF Fiorentina | €1.7M | €1.5M-1.8M | +10% | 40.4 |
| #11 | Tobias Slotsager Hellas Verona | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #12 | Matteo Cocchi Inter Milan | €1.7M | €1.5M-1.8M | +10% | 40.4 |
| #13 | Branimir Mlacic Udinese Calcio | €5.5M | €4.9M-6.1M | +10% | 40.4 |
| #14 | David Odogu AC Milan | €5.5M | €4.9M-6.1M | +10% | 40.4 |
| #15 | Eddy Kouadio ACF Fiorentina | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #16 | Niccolò Fortini ACF Fiorentina | €11.0M | €9.8M-12.3M | +10% | 40.4 |
| #17 | Javier Gil Juventus FC | €1.1M | €976K-1.2M | +10% | 40.4 |
| #18 | Fallou Cham Hellas Verona | €1.1M | €976K-1.2M | +10% | 40.4 |
| #19 | Othniël Raterink Cagliari Calcio | €1.1M | €976K-1.2M | +10% | 40.4 |
| #20 | Lorenzo Tosto FC Empoli | €1.3M | €1.2M-1.5M | +10% | 40.4 |
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 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)
SSC Napoli's Giovane in the 21-23 age bracket has the highest Age-Share Concentration at +12.0%. That means Nico Paz captures 84.4% of total market value while representing only 72.4% of players in their age group-showing dominant elite status.
In second is Parma Calcio 1913's Christian Ordóñez with a +12.0% ASC (84.4% value share vs 72.4% player share in 21-23 bracket). Third is Jan Ziolkowski of Associazione Sportiva Roma with a +12.0% ASC (84.4% value vs 72.4% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +12.0% ASC means the player captures 12.0% 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 | Giovane SSC Napoli | 21-23 | 84.4% | 72.4% | +12.0% |
| #2 | Christian Ordóñez Parma Calcio 1913 | 21-23 | 84.4% | 72.4% | +12.0% |
| #3 | Jan Ziolkowski Associazione Sportiva Roma | 21-23 | 84.4% | 72.4% | +12.0% |
| #4 | Assane Diao Como 1907 | 21-23 | 84.4% | 72.4% | +12.0% |
| #5 | Pedro Felipe Juventus FC | 21-23 | 84.4% | 72.4% | +12.0% |
| #6 | Isaac Hellas Verona | 21-23 | 84.4% | 72.4% | +12.0% |
| #7 | Agustín Albarracín Cagliari Calcio | 21-23 | 84.4% | 72.4% | +12.0% |
| #8 | Filipe Bordon Società Sportiva Lazio S.p.A. | 21-23 | 84.4% | 72.4% | +12.0% |
| #9 | Tiago Gabriel US Lecce | 21-23 | 84.4% | 72.4% | +12.0% |
| #10 | Eivind Helland Bologna Football Club 1909 | 21-23 | 84.4% | 72.4% | +12.0% |
| #11 | Mariano Troilo Parma Calcio 1913 | 21-23 | 84.4% | 72.4% | +12.0% |
| #12 | Matías Pérez US Lecce | 21-23 | 84.4% | 72.4% | +12.0% |
| #13 | Nils Zätterström Genoa CFC | 21-23 | 84.4% | 72.4% | +12.0% |
| #14 | Juan Rodríguez Cagliari Calcio | 21-23 | 84.4% | 72.4% | +12.0% |
| #15 | Giorgi Kvernadze Frosinone Calcio | 21-23 | 84.4% | 72.4% | +12.0% |
| #16 | Francisco Conceição Juventus FC | 21-23 | 84.4% | 72.4% | +12.0% |
| #17 | Aster Vranckx US Sassuolo | 21-23 | 84.4% | 72.4% | +12.0% |
| #18 | Yunus Musah AC Milan | 21-23 | 84.4% | 72.4% | +12.0% |
| #19 | Brian Oddei US Sassuolo | 21-23 | 84.4% | 72.4% | +12.0% |
| #20 | Devyne Rensch Associazione Sportiva Roma | 21-23 | 84.4% | 72.4% | +12.0% |
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: 7 immediate targets, 55 standard acquisitions, 148 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
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 €900K. 0 undervalued, 14 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Elia Plicco Parma Calcio 1913 | €500K | €3.0M | -0.83 | Good Value |
Alessandro Romano Associazione Sportiva Roma | €500K | €3.0M | -0.83 | Good Value |
Lapo Siviero Torino FC | €500K | €3.0M | -0.83 | Good Value |
Rasmus Højlund SSC Napoli | €60.0M | €3.0M | -0.75 | Good Value |
Ernestas Lysionok Genoa CFC | €600K | €3.0M | -0.75 | Good Value |
Federico Cassa Atalanta BC | €700K | €3.0M | -0.67 | Good Value |
Gabriele Re Cecconi Inter Milan | €700K | €3.0M | -0.67 | Good Value |
Assane Diao Como 1907 | €30.0M | €3.0M | -0.63 | Good Value |
Francisco Conceição Juventus FC | €30.0M | €3.0M | -0.63 | Good Value |
Aster Vranckx US Sassuolo | €5.0M | €3.0M | -0.63 | Good Value |
Martin Baturina Como 1907 | €30.0M | €3.0M | -0.63 | Good Value |
Medon Berisha US Lecce | €5.0M | €3.0M | -0.63 | Good Value |
Gaetano Oristanio Parma Calcio 1913 | €5.0M | €3.0M | -0.63 | Good Value |
Rafa Obrador Torino FC | €5.0M | €3.0M | -0.63 | Good Value |
Vanja Vlahović Atalanta BC | €5.0M | €3.0M | -0.63 | Good Value |
Iker Bravo Udinese Calcio | €5.0M | €3.0M | -0.63 | Good Value |
Niccolò Pisilli Associazione Sportiva Roma | €30.0M | €3.0M | -0.63 | Good Value |
Jacobo Ramón Como 1907 | €30.0M | €3.0M | -0.63 | Good Value |
Tiago Gabriel US Lecce | €15.0M | €3.0M | -0.60 | Good Value |
Fabio Miretti Juventus FC | €15.0M | €3.0M | -0.60 | Good Value |
Market Overview: Serie A Young Players 2026-27
Our database tracked 210 Serie A Young Players in the 2026-27 season, representing 25 clubs with a combined market value of €1.7B. The average market value for Serie A Young Players was €8.2M, with the average age at 21 years old.
The most valuable young player in the Serie A was Nico Paz, worth €80.0M and played for Como 1907 at 22 years old. The top 5 Young Players averaged €60.0M in market value, including Kenan Yıldız and Rasmus Højlund.
Age distribution showed the youngest tracked young player was Honest Ahanor (18 years, Atalanta BC, €30.0M), while the oldest was Rasmus Højlund (23 years, SSC Napoli, €60.0M). Research shows Young Players typically peak at age 26.
Historical analysis showed 168 Young Players (80%) 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 2026-27 season.
How We Rank Serie A Young Players
Our Analytical Strength Index is calibrated specifically for young players, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for ALL
Historical Achievement Index (35%)
Peak career market value for Serie A young players, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Serie A young players, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 27 with 6.0%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Serie A receives Top 5 European league premium for competitive intensity and quality of opposition.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
ALL Performance Benchmarks
Peak Age: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Compounding and banded around a peak of 27: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young players
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Serie A Young Players in the 2026-27 season
Who are the most valuable Young Players in the Serie A in 2026-27?
The most valuable young player in the Serie A in 2026-27 is Nico Paz, who is worth €80.0M and plays for Como 1907. The second most valuable is Kenan Yıldız (€75.0M, Juventus FC), followed by Rasmus Højlund (€60.0M, SSC Napoli). Our database tracks 210 Serie A Young Players with comprehensive market valuations updated for the 2026-27 season.
How are Serie A Young Players ranked?
Serie A Young Players are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Players. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Serie A competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Young Players peak?
How much does it cost to sign a top young player from the Serie A?
Transfer fees for Serie A Young Players vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young player Nico Paz (market value: €80.0M), estimated transfer fees would range from €64.0M to €112.0M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Serie A transactions.
What is the value forecast for Serie A Young Players?
Our 1-year forecast model projects market value changes for Serie A Young Players based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-midfielders have ±12-15% volatility. Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Serie A young player data come from?
Our Serie A young player data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Serie A sources and updated monthly for the 2026-27 season to ensure accuracy for recruitment and investment decisions.