Best U23 Young Attacking Midfielders in the Serie A
11 players aged 23 or under · ranked by Analytical Strength Index
Best Young Attacking Midfielders in the Serie A (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Serie A Young Attacking Midfielders 2024-25
Our database tracked 11 Serie A Young Attacking Midfielders in the 2024-25 season, representing 9 clubs with a combined market value of €130.3M. The average market value for Serie A Young Attacking Midfielders was €11.8M, with the average age at 21 years old.
The most valuable young attacking midfielder in the Serie A was Nico Paz, worth €65.0M and played for Como 1907 at 21 years old. The top 5 Young Attacking Midfielders averaged €20.6M in market value, including Tommaso Baldanzi and Giovanni Fabbian.
Age distribution showed the youngest tracked young attacking midfielder was Darryl Bakola (18 years, US Sassuolo, €4.0M), while the oldest was Tommaso Baldanzi (23 years, Genoa CFC, €10.0M). Research shows Young Attacking Midfielders typically peak at age 26.
Historical analysis showed 11 Young Attacking Midfielders (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 Attacking Midfielders remained actively developing with emerging talent 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 9 clubs with €130.3M combined value.
Age Distribution: Serie A Young Attacking Midfielders
The Serie A CAM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (7 players, 64% of market). The 21-23 age group holds the most value at €103.8M, averaging €14.8M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (4 players)
21-23 Years (7 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Young Attacking Midfielders (18% of players) control €75.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 9% of the Serie A CAM pool.
Elite (€50M+)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Serie A Young Attacking Midfielders
Among 9 Serie A clubs, Como 1907 leads with 1 Young Attacking Midfielders worth €65.0M (averaging €65.0M per player). The top 10 clubs account for 100% of tracked Young Attacking Midfielders.
Como 1907 (1 Young Attacking Midfielders)
US Sassuolo (2 Young Attacking Midfielders)
Genoa CFC (2 Young Attacking Midfielders)
ACF Fiorentina (1 Young Attacking Midfielders)
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 • 21 years old
€56.2M
€65.0M
+15.6%
Expected: €74.6M
90.0
Tommaso Baldanzi
Genoa CFC • 23 years old
€8.6M
€10.0M
+15.6%
Expected: €10.7M
61.6
Giovanni Fabbian
ACF Fiorentina • 23 years old
€8.6M
€10.0M
+15.6%
Expected: €10.7M
61.6
Cristian Volpato
US Sassuolo • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.6M
61.0
Vasilije Adžić
Juventus FC • 20 years old
€6.9M
€8.0M
+15.6%
Expected: €9.2M
57.0
Lorran
Pisa Sporting Club • 19 years old
€6.5M
€7.5M
+15.6%
Expected: €8.9M
55.6
Gaetano Oristanio
Parma Calcio 1913 • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Adrian Przyborek
SS Lazio • 19 years old
€6.1M
€7.0M
+15.6%
Expected: €8.3M
54.8
Darryl Bakola
US Sassuolo • 18 years old
€3.5M
€4.0M
+15.6%
Expected: €4.9M
47.3
Antonio Vergara
SSC Napoli • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.7M
40.9
Hugo Cuenca
Genoa CFC • 21 years old
€259K
€300K
+15.6%
Expected: €331K
13.7
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 21 years old has the highest Pre-Peak Value Efficiency at 6.50×. That means Nico Paz is valued 6.50× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Juventus FC's Vasilije Adžić, who is 20 years old, with a 1.07× PPVE. Third is Lorran of Pisa Sporting Club, who is 19 years old with a 1.00× 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 6.50× means the player is worth 550% 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 | 21 | 21-23 | €65.0M | €10.0M | 6.50× |
| #2 | Vasilije Adžić Juventus FC | 20 | U21 | €8.0M | €7.5M | 1.07× |
| #3 | Lorran Pisa Sporting Club | 19 | U21 | €7.5M | €7.5M | 1.00× |
| #4 | Giovanni Fabbian ACF Fiorentina | 23 | 21-23 | €10.0M | €10.0M | 1.00× |
| #5 | Tommaso Baldanzi Genoa CFC | 23 | 21-23 | €10.0M | €10.0M | 1.00× |
| #6 | Cristian Volpato US Sassuolo | 22 | 21-23 | €10.0M | €10.0M | 1.00× |
| #7 | Adrian Przyborek SS Lazio | 19 | U21 | €7.0M | €7.5M | 0.93× |
| #8 | Gaetano Oristanio Parma Calcio 1913 | 23 | 21-23 | €6.0M | €10.0M | 0.60× |
| #9 | Darryl Bakola US Sassuolo | 18 | U21 | €4.0M | €7.5M | 0.53× |
| #10 | Antonio Vergara SSC Napoli | 23 | 21-23 | €2.5M | €10.0M | 0.25× |
| #11 | Hugo Cuenca Genoa CFC | 21 | 21-23 | €300K | €10.0M | 0.03× |
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)
US Sassuolo's Darryl Bakola at 18 years old has the highest Return-to-Peak Potential at +44%. That means Darryl Bakola is projected to appreciate 44% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Pisa Sporting Club's Lorran, who is 19 years old, with a +40% RPP (7 years to peak). Third is Adrian Przyborek of SS Lazio, who is 19 years old with a +40% 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 44% RPP means the player is expected to gain 44% 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 | Darryl Bakola US Sassuolo | 18 | 8 | €4.0M | €7.1M | +44% |
| #2 | Lorran Pisa Sporting Club | 19 | 7 | €7.5M | €12.5M | +40% |
| #3 | Adrian Przyborek SS Lazio | 19 | 7 | €7.0M | €11.6M | +40% |
| #4 | Vasilije Adžić Juventus FC | 20 | 6 | €8.0M | €12.4M | +35% |
| #5 | Hugo Cuenca Genoa CFC | 21 | 5 | €300K | €431K | +30% |
| #6 | Nico Paz Como 1907 | 21 | 5 | €65.0M | €93.4M | +30% |
| #7 | Cristian Volpato US Sassuolo | 22 | 4 | €10.0M | €13.4M | +25% |
| #8 | Gaetano Oristanio Parma Calcio 1913 | 23 | 3 | €6.0M | €7.5M | +20% |
| #9 | Giovanni Fabbian ACF Fiorentina | 23 | 3 | €10.0M | €12.4M | +20% |
| #10 | Tommaso Baldanzi Genoa CFC | 23 | 3 | €10.0M | €12.4M | +20% |
| #11 | Antonio Vergara SSC Napoli | 23 | 3 | €2.5M | €3.1M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
US Sassuolo's Darryl Bakola has the highest Risk-Adjusted Upside at 55.1. That means Darryl Bakola has 23% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is SS Lazio's Adrian Przyborek with a 46.4 RAU (19% upside, 0% uncertainty). Third is Lorran of Pisa Sporting Club with a 46.4 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 55.1 means the upside is 55.1× 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 | Darryl Bakola US Sassuolo | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #2 | Adrian Przyborek SS Lazio | €8.3M | €6.9M-9.8M | +19% | 46.4 |
| #3 | Lorran Pisa Sporting Club | €8.9M | €7.4M-10.5M | +19% | 46.4 |
| #4 | Nico Paz Como 1907 | €74.6M | €61.7M-87.5M | +15% | 37.3 |
| #5 | Vasilije Adžić Juventus FC | €9.2M | €7.6M-10.8M | +15% | 37.1 |
| #6 | Hugo Cuenca Genoa CFC | €331K | €274K-388K | +10% | 26.9 |
| #7 | Giovanni Fabbian ACF Fiorentina | €10.7M | €9.1M-12.3M | +7% | 22.0 |
| #8 | Tommaso Baldanzi Genoa CFC | €10.7M | €9.1M-12.3M | +7% | 22.0 |
| #9 | Antonio Vergara SSC Napoli | €2.7M | €2.3M-3.1M | +7% | 22.0 |
| #10 | Gaetano Oristanio Parma Calcio 1913 | €6.4M | €5.5M-7.4M | +7% | 22.0 |
| #11 | Cristian Volpato US Sassuolo | €10.6M | €9.0M-12.2M | +6% | 18.4 |
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 attacking midfielder 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)
Pisa Sporting Club's Lorran in the U21 age bracket has the highest Age-Share Concentration at +-16.0%. That means Vasilije Adžić captures 20.3% of total market value while representing only 36.4% of players in their age group-showing dominant elite status.
In second is SS Lazio's Adrian Przyborek with a +-16.0% ASC (20.3% value share vs 36.4% player share in U21 bracket). Third is Darryl Bakola of US Sassuolo with a +-16.0% ASC (20.3% value vs 36.4% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-16.0% ASC means the player captures -16.0% 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 | Lorran Pisa Sporting Club | U21 | 20.3% | 36.4% | -16.0% |
| #2 | Adrian Przyborek SS Lazio | U21 | 20.3% | 36.4% | -16.0% |
| #3 | Darryl Bakola US Sassuolo | U21 | 20.3% | 36.4% | -16.0% |
| #4 | Vasilije Adžić Juventus FC | U21 | 20.3% | 36.4% | -16.0% |
| #5 | Gaetano Oristanio Parma Calcio 1913 | 21-23 | 79.7% | 63.6% | +16.0% |
| #6 | Giovanni Fabbian ACF Fiorentina | 21-23 | 79.7% | 63.6% | +16.0% |
| #7 | Tommaso Baldanzi Genoa CFC | 21-23 | 79.7% | 63.6% | +16.0% |
| #8 | Antonio Vergara SSC Napoli | 21-23 | 79.7% | 63.6% | +16.0% |
| #9 | Cristian Volpato US Sassuolo | 21-23 | 79.7% | 63.6% | +16.0% |
| #10 | Hugo Cuenca Genoa CFC | 21-23 | 79.7% | 63.6% | +16.0% |
| #11 | Nico Paz Como 1907 | 21-23 | 79.7% | 63.6% | +16.0% |
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: 3 immediate targets, 8 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 €65.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Hugo Cuenca Genoa CFC | €300K | €7.5M | -1.00 | Good Value |
Adrian Przyborek SS Lazio | €7.0M | €7.5M | -0.50 | Fair Value |
Lorran Pisa Sporting Club | €7.5M | €7.5M | 0.00 | Fair Value |
Darryl Bakola US Sassuolo | €4.0M | €7.5M | 0.00 | Fair Value |
Gaetano Oristanio Parma Calcio 1913 | €6.0M | €7.5M | 0.00 | Fair Value |
Giovanni Fabbian ACF Fiorentina | €10.0M | €7.5M | 0.00 | Fair Value |
Tommaso Baldanzi Genoa CFC | €10.0M | €7.5M | 0.00 | Fair Value |
Antonio Vergara SSC Napoli | €2.5M | €7.5M | 0.00 | Fair Value |
Cristian Volpato US Sassuolo | €10.0M | €7.5M | 0.00 | Fair Value |
Nico Paz Como 1907 | €65.0M | €7.5M | 0.00 | Fair Value |
Vasilije Adžić Juventus FC | €8.0M | €7.5M | +0.50 | Fair Value |