Best U23 Young Attacking Midfielders in the Serie A
21 players aged 23 or under · ranked by Analytical Strength Index
Best Young Attacking Midfielders 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
Martin Baturina
Como 1907 • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €28.0M
78.6
Antonio Vergara
SSC Napoli • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €14.6M
70.0
Giovanni Fabbian
Bologna Football Club 1909 • 23 years old
€8.6M
€10.0M
+15.6%
Expected: €9.7M
61.4
Cristian Volpato
US Sassuolo • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.1M
60.9
Tommaso Baldanzi
Associazione Sportiva Roma • 23 years old
€7.4M
€8.5M
+15.6%
Expected: €8.2M
59.3
Vasilije Adžić
Juventus FC • 20 years old
€6.9M
€8.0M
+15.6%
Expected: €8.8M
57.3
Alphadjo Cissè
Hellas Verona • 19 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
53.3
Adrian Przyborek
Società Sportiva Lazio S.p.A. • 19 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
53.3
Gaetano Oristanio
Parma Calcio 1913 • 23 years old
€4.3M
€5.0M
+15.6%
Expected: €4.9M
52.7
Simone Pafundi
Udinese Calcio • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.5M
51.5
Sergiu Perciun
Torino FC • 20 years old
€1.3M
€1.5M
+15.6%
Expected: €1.7M
32.9
Tommaso Rubino
ACF Fiorentina • 19 years old
€1.0M
€1.2M
+15.6%
Expected: €1.3M
29.7
David Pejičić
Udinese Calcio • 19 years old
€865K
€1.0M
+15.6%
Expected: €1.1M
27.4
Federico Cassa
Atalanta BC • 20 years old
€605K
€700K
+15.6%
Expected: €772K
23.4
Elia Plicco
Parma Calcio 1913 • 19 years old
€432K
€500K
+15.6%
Expected: €551K
18.8
Saad El Haddad
Venezia FC • 21 years old
€346K
€400K
+15.6%
Expected: €406K
16.8
Andrea Sodero
FC Empoli • 22 years old
€259K
€300K
+15.6%
Expected: €304K
13.7
Naj Razi
Como 1907 • 19 years old
€238K
€275K
+15.6%
Expected: €303K
11.3
Daniele Quieto
Inter Milan • 20 years old
€216K
€250K
+15.6%
Expected: €276K
10.6
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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 Attacking Midfielders. Identify undervalued assets and track market momentum across 17 clubs with €189.8M 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 U21 bracket (11 players, 52% of market). The 21-23 age group holds the most value at €159.4M, averaging €15.9M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (11 players)
21-23 Years (10 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Young Attacking Midfielders (14% of players) control €125.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 5% of the Serie A CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Young Attacking Midfielders
Among 17 Serie A clubs, Como 1907 leads with 3 Young Attacking Midfielders worth €110.3M (averaging €36.8M per player). The top 10 clubs account for 67% of tracked Young Attacking Midfielders.
Como 1907 (3 Young Attacking Midfielders)
SSC Napoli (1 Young Attacking Midfielders)
Bologna Football Club 1909 (1 Young Attacking Midfielders)
US Sassuolo (1 Young Attacking Midfielders)
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 8.00×. That means Nico Paz is valued 8.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Juventus FC's Vasilije Adžić, who is 20 years old, with a 6.67× PPVE. Third is Adrian Przyborek of Società Sportiva Lazio S.p.A., who is 19 years old with a 5.00× 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 8.00× means the player is worth 700% 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 | €10.0M | 8.00× |
| #2 | Vasilije Adžić Juventus FC | 20 | U21 | €8.0M | €1.2M | 6.67× |
| #3 | Adrian Przyborek Società Sportiva Lazio S.p.A. | 19 | U21 | €6.0M | €1.2M | 5.00× |
| #4 | Alphadjo Cissè Hellas Verona | 19 | U21 | €6.0M | €1.2M | 5.00× |
| #5 | Simone Pafundi Udinese Calcio | 20 | U21 | €5.0M | €1.2M | 4.17× |
| #6 | Martin Baturina Como 1907 | 23 | 21-23 | €30.0M | €10.0M | 3.00× |
| #7 | Antonio Vergara SSC Napoli | 23 | 21-23 | €15.0M | €10.0M | 1.50× |
| #8 | Sergiu Perciun Torino FC | 20 | U21 | €1.5M | €1.2M | 1.25× |
| #9 | Giovanni Fabbian Bologna Football Club 1909 | 23 | 21-23 | €10.0M | €10.0M | 1.00× |
| #10 | Cristian Volpato US Sassuolo | 22 | 21-23 | €10.0M | €10.0M | 1.00× |
| #11 | Tommaso Rubino ACF Fiorentina | 19 | U21 | €1.2M | €1.2M | 1.00× |
| #12 | Tommaso Baldanzi Associazione Sportiva Roma | 23 | 21-23 | €8.5M | €10.0M | 0.85× |
| #13 | David Pejičić Udinese Calcio | 19 | U21 | €1.0M | €1.2M | 0.83× |
| #14 | Federico Cassa Atalanta BC | 20 | U21 | €700K | €1.2M | 0.58× |
| #15 | Gaetano Oristanio Parma Calcio 1913 | 23 | 21-23 | €5.0M | €10.0M | 0.50× |
| #16 | Elia Plicco Parma Calcio 1913 | 19 | U21 | €500K | €1.2M | 0.42× |
| #17 | Naj Razi Como 1907 | 19 | U21 | €275K | €1.2M | 0.23× |
| #18 | Daniele Quieto Inter Milan | 20 | U21 | €250K | €1.2M | 0.21× |
| #19 | Saad El Haddad Venezia FC | 21 | 21-23 | €400K | €10.0M | 0.04× |
| #20 | Andrea Sodero FC Empoli | 22 | 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)
Società Sportiva Lazio S.p.A.'s Adrian Przyborek at 19 years old has the highest Return-to-Peak Potential at +44%. That means Alphadjo Cissè is projected to appreciate 44% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Como 1907's Naj Razi, who is 19 years old, with a +44% RPP (7 years to peak). Third is Alphadjo Cissè of Hellas Verona, who is 19 years old with a +44% 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 | Adrian Przyborek Società Sportiva Lazio S.p.A. | 19 | 7 | €6.0M | €10.7M | +44% |
| #2 | Naj Razi Como 1907 | 19 | 7 | €275K | €491K | +44% |
| #3 | Alphadjo Cissè Hellas Verona | 19 | 7 | €6.0M | €10.7M | +44% |
| #4 | David Pejičić Udinese Calcio | 19 | 7 | €1.0M | €1.8M | +44% |
| #5 | Elia Plicco Parma Calcio 1913 | 19 | 7 | €500K | €894K | +44% |
| #6 | Tommaso Rubino ACF Fiorentina | 19 | 7 | €1.2M | €2.1M | +44% |
| #7 | Federico Cassa Atalanta BC | 20 | 6 | €700K | €1.2M | +40% |
| #8 | Daniele Quieto Inter Milan | 20 | 6 | €250K | €415K | +40% |
| #9 | Vasilije Adžić Juventus FC | 20 | 6 | €8.0M | €13.3M | +40% |
| #10 | Simone Pafundi Udinese Calcio | 20 | 6 | €5.0M | €8.3M | +40% |
| #11 | Sergiu Perciun Torino FC | 20 | 6 | €1.5M | €2.5M | +40% |
| #12 | Saad El Haddad Venezia FC | 21 | 5 | €400K | €618K | +35% |
| #13 | Cristian Volpato US Sassuolo | 22 | 4 | €10.0M | €14.4M | +30% |
| #14 | Andrea Sodero FC Empoli | 22 | 4 | €300K | €431K | +30% |
| #15 | Nico Paz Como 1907 | 22 | 4 | €80.0M | €115.0M | +30% |
| #16 | Gaetano Oristanio Parma Calcio 1913 | 23 | 3 | €5.0M | €6.7M | +25% |
| #17 | Giovanni Fabbian Bologna Football Club 1909 | 23 | 3 | €10.0M | €13.4M | +25% |
| #18 | Martin Baturina Como 1907 | 23 | 3 | €30.0M | €40.1M | +25% |
| #19 | Antonio Vergara SSC Napoli | 23 | 3 | €15.0M | €20.1M | +25% |
| #20 | Tommaso Baldanzi Associazione Sportiva Roma | 23 | 3 | €8.5M | €11.4M | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Atalanta BC's Federico Cassa has the highest Risk-Adjusted Upside at 31.1. That means Federico Cassa has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Società Sportiva Lazio S.p.A.'s Adrian Przyborek with a 31.1 RAU (10% upside, 0% uncertainty). Third is Alphadjo Cissè of Hellas Verona with a 31.1 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 31.1 means the upside is 31.1× 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 | Federico Cassa Atalanta BC | €772K | €656K-887K | +10% | 31.1 |
| #2 | Adrian Przyborek Società Sportiva Lazio S.p.A. | €6.6M | €5.6M-7.6M | +10% | 31.1 |
| #3 | Alphadjo Cissè Hellas Verona | €6.6M | €5.6M-7.6M | +10% | 31.1 |
| #4 | Sergiu Perciun Torino FC | €1.7M | €1.4M-1.9M | +10% | 31.1 |
| #5 | David Pejičić Udinese Calcio | €1.1M | €938K-1.3M | +10% | 31.1 |
| #6 | Elia Plicco Parma Calcio 1913 | €551K | €469K-634K | +10% | 31.1 |
| #7 | Daniele Quieto Inter Milan | €276K | €234K-317K | +10% | 31.1 |
| #8 | Simone Pafundi Udinese Calcio | €5.5M | €4.7M-6.3M | +10% | 31.1 |
| #9 | Vasilije Adžić Juventus FC | €8.8M | €7.5M-10.1M | +10% | 31.1 |
| #10 | Tommaso Rubino ACF Fiorentina | €1.3M | €1.1M-1.5M | +10% | 31.1 |
| #11 | Naj Razi Como 1907 | €303K | €258K-349K | +10% | 31.1 |
| #12 | Cristian Volpato US Sassuolo | €10.1M | €8.8M-11.5M | +1% | 5.4 |
| #13 | Andrea Sodero FC Empoli | €304K | €265K-344K | +1% | 5.4 |
| #14 | Saad El Haddad Venezia FC | €406K | €345K-466K | +1% | 4.7 |
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 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)
Como 1907's Martin Baturina in the 21-23 age bracket has the highest Age-Share Concentration at +36.4%. That means Nico Paz captures 84.0% of total market value while representing only 47.6% of players in their age group-showing dominant elite status.
In second is Parma Calcio 1913's Gaetano Oristanio with a +36.4% ASC (84.0% value share vs 47.6% player share in 21-23 bracket). Third is Giovanni Fabbian of Bologna Football Club 1909 with a +36.4% ASC (84.0% value vs 47.6% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +36.4% ASC means the player captures 36.4% 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 | Martin Baturina Como 1907 | 21-23 | 84.0% | 47.6% | +36.4% |
| #2 | Gaetano Oristanio Parma Calcio 1913 | 21-23 | 84.0% | 47.6% | +36.4% |
| #3 | Giovanni Fabbian Bologna Football Club 1909 | 21-23 | 84.0% | 47.6% | +36.4% |
| #4 | Tommaso Baldanzi Associazione Sportiva Roma | 21-23 | 84.0% | 47.6% | +36.4% |
| #5 | Nicolò Cavuoti Cagliari Calcio | 21-23 | 84.0% | 47.6% | +36.4% |
| #6 | Antonio Vergara SSC Napoli | 21-23 | 84.0% | 47.6% | +36.4% |
| #7 | Cristian Volpato US Sassuolo | 21-23 | 84.0% | 47.6% | +36.4% |
| #8 | Andrea Sodero FC Empoli | 21-23 | 84.0% | 47.6% | +36.4% |
| #9 | Saad El Haddad Venezia FC | 21-23 | 84.0% | 47.6% | +36.4% |
| #10 | Nico Paz Como 1907 | 21-23 | 84.0% | 47.6% | +36.4% |
| #11 | David Pejičić Udinese Calcio | U21 | 16.0% | 52.4% | -36.4% |
| #12 | Adrian Przyborek Società Sportiva Lazio S.p.A. | U21 | 16.0% | 52.4% | -36.4% |
| #13 | Federico Cassa Atalanta BC | U21 | 16.0% | 52.4% | -36.4% |
| #14 | Elia Plicco Parma Calcio 1913 | U21 | 16.0% | 52.4% | -36.4% |
| #15 | Daniele Quieto Inter Milan | U21 | 16.0% | 52.4% | -36.4% |
| #16 | Tommaso Rubino ACF Fiorentina | U21 | 16.0% | 52.4% | -36.4% |
| #17 | Simone Pafundi Udinese Calcio | U21 | 16.0% | 52.4% | -36.4% |
| #18 | Vasilije Adžić Juventus FC | U21 | 16.0% | 52.4% | -36.4% |
| #19 | Naj Razi Como 1907 | U21 | 16.0% | 52.4% | -36.4% |
| #20 | Alphadjo Cissè Hellas Verona | U21 | 16.0% | 52.4% | -36.4% |
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: 0 immediate targets, 11 standard acquisitions, 10 watch-list prospects, 0 at peak.
BUY NOW - High Upside
No players in this category
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 €80.0M. 1 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Gaetano Oristanio Parma Calcio 1913 | €5.0M | €5.0M | -3.33 | Undervalued |
Tommaso Baldanzi Associazione Sportiva Roma | €8.5M | €5.0M | -1.00 | Good Value |
Simone Pafundi Udinese Calcio | €5.0M | €5.0M | -0.50 | Fair Value |
Nicolò Cavuoti Cagliari Calcio | €200K | €5.0M | -0.50 | Fair Value |
Daniele Quieto Inter Milan | €250K | €5.0M | -0.49 | Fair Value |
Naj Razi Como 1907 | €275K | €5.0M | -0.46 | Fair Value |
Elia Plicco Parma Calcio 1913 | €500K | €5.0M | -0.22 | Fair Value |
Adrian Przyborek Società Sportiva Lazio S.p.A. | €6.0M | €5.0M | 0.00 | Fair Value |
Federico Cassa Atalanta BC | €700K | €5.0M | 0.00 | Fair Value |
Martin Baturina Como 1907 | €30.0M | €5.0M | 0.00 | Fair Value |
Giovanni Fabbian Bologna Football Club 1909 | €10.0M | €5.0M | 0.00 | Fair Value |
Antonio Vergara SSC Napoli | €15.0M | €5.0M | 0.00 | Fair Value |
Cristian Volpato US Sassuolo | €10.0M | €5.0M | 0.00 | Fair Value |
Andrea Sodero FC Empoli | €300K | €5.0M | 0.00 | Fair Value |
Nico Paz Como 1907 | €80.0M | €5.0M | 0.00 | Fair Value |
Alphadjo Cissè Hellas Verona | €6.0M | €5.0M | 0.00 | Fair Value |
David Pejičić Udinese Calcio | €1.0M | €5.0M | +0.32 | Fair Value |
Saad El Haddad Venezia FC | €400K | €5.0M | +0.50 | Above Market |
Tommaso Rubino ACF Fiorentina | €1.2M | €5.0M | +0.54 | Above Market |
Sergiu Perciun Torino FC | €1.5M | €5.0M | +0.86 | Above Market |
Market Overview: Serie A Young Attacking Midfielders 2022-23
Our database tracked 21 Serie A Young Attacking Midfielders in the 2022-23 season, representing 17 clubs with a combined market value of €189.8M. The average market value for Serie A Young Attacking Midfielders was €9.0M, with the average age at 21 years old.
The most valuable young attacking midfielder in the Serie A was Nico Paz, worth €80.0M and played for Como 1907 at 22 years old. The top 5 Young Attacking Midfielders averaged €29.0M in market value, including Martin Baturina and Antonio Vergara.
Age distribution showed the youngest tracked young attacking midfielder was Alphadjo Cissè (19 years, Hellas Verona, €6.0M), while the oldest was Martin Baturina (23 years, Como 1907, €30.0M). Research shows Young Attacking Midfielders typically peak at age 27.
Historical analysis showed 14 Young Attacking Midfielders (67%) 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 2022-23 season.
How We Rank Serie A Young Attacking Midfielders
Our Analytical Strength Index is calibrated specifically for young attacking midfielders, 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 CAM
Historical Achievement Index (35%)
Peak career market value for Serie A young attacking midfielders, 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 attacking midfielders, 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.
CAM 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 attacking midfielders
• 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 Attacking Midfielders in the 2022-23 season
Who are the most valuable Young Attacking Midfielders in the Serie A in 2022-23?
The most valuable young attacking midfielder in the Serie A in 2022-23 is Nico Paz, who is worth €80.0M and plays for Como 1907. The second most valuable is Martin Baturina (€30.0M, Como 1907), followed by Antonio Vergara (€15.0M, SSC Napoli). Our database tracks 21 Serie A Young Attacking Midfielders with comprehensive market valuations updated for the 2022-23 season.
How are Serie A Young Attacking Midfielders ranked?
Serie A Young Attacking Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Attacking Midfielders. 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 Attacking Midfielders peak?
Attacking midfielders typically peak at age 27, in line with other midfielders. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, and steeper from 30. This position demands high technical ability, creativity, and burst acceleration. The optimal playing time is around 2,400 minutes per season.
How much does it cost to sign a top young attacking midfielder from the Serie A?
Transfer fees for Serie A Young Attacking Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young attacking midfielder 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 Attacking Midfielders?
Our 1-year forecast model projects market value changes for Serie A Young Attacking Midfielders 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 attacking midfielder data come from?
Our Serie A young attacking midfielder 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 2022-23 season to ensure accuracy for recruitment and investment decisions.