Best U23 Young Left Wingers in the Serie A
8 players aged 23 or under · ranked by Analytical Strength Index
Best Young Left Wingers in the Serie A (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Serie A Young Left Wingers 2026-27
Our database tracked 8 Serie A Young Left Wingers in the 2026-27 season, representing 6 clubs with a combined market value of €175.3M. The average market value for Serie A Young Left Wingers was €21.9M, with the average age at 21 years old.
The most valuable young left winger in the Serie A was Kenan Yıldız, worth €75.0M and played for Juventus FC at 21 years old. The top 5 Young Left Wingers averaged €32.6M in market value, including Assane Diao and Jesús Rodríguez.
Age distribution showed the youngest tracked young left winger was Assane Diao (20 years, Como 1907, €30.0M), while the oldest was Jonathan Rowe (23 years, Bologna FC 1909, €16.0M). Research shows Young Left Wingers typically peak at age 26.
Historical analysis showed 8 Young Left Wingers (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 Left Wingers remained actively developing with emerging talent in the 2026-27 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 Left Wingers. Identify undervalued assets and track market momentum across 6 clubs with €175.3M combined value.
Age Distribution: Serie A Young Left Wingers
The Serie A LW market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (5 players, 63% of market). The 21-23 age group holds the most value at €113.5M, averaging €22.7M per player.
Top Young Left Wingers by Age Bracket
U21 Years (3 players)
21-23 Years (5 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Left Wingers (13% of players) control €75.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 13% of the Serie A LW pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Young Left Wingers
Among 6 Serie A clubs, Juventus FC leads with 1 Young Left Wingers worth €75.0M (averaging €75.0M per player). The top 10 clubs account for 100% of tracked Young Left Wingers.
Juventus FC (1 Young Left Wingers)
Como 1907 (2 Young Left Wingers)
Bologna FC 1909 (2 Young Left Wingers)
Parma Calcio 1913 (1 Young Left Wingers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Kenan Yıldız
Juventus FC • 21 years old
€64.9M
€75.0M
+15.6%
Expected: €86.1M
92.9
Assane Diao
Como 1907 • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
Jesús Rodríguez
Como 1907 • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
Jonathan Rowe
Bologna FC 1909 • 23 years old
€13.8M
€16.0M
+15.6%
Expected: €17.1M
71.2
Benja Domínguez
Bologna FC 1909 • 22 years old
€10.4M
€12.0M
+15.6%
Expected: €12.7M
67.1
Jacob Ondrejka
Parma Calcio 1913 • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €8.6M
59.0
Alieu Njie
Torino FC • 21 years old
€2.2M
€2.5M
+15.6%
Expected: €2.8M
39.7
Agustín Albarracín
Cagliari Calcio • 20 years old
€1.6M
€1.8M
+15.6%
Expected: €2.1M
35.0
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 21 years old has the highest Pre-Peak Value Efficiency at 6.25×. That means Kenan Yıldız is valued 6.25× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Bologna FC 1909's Jonathan Rowe, who is 23 years old, with a 1.33× PPVE. Third is Assane Diao of Como 1907, who is 20 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 6.25× means the player is worth 525% 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 | 21 | 21-23 | €75.0M | €12.0M | 6.25× |
| #2 | Jonathan Rowe Bologna FC 1909 | 23 | 21-23 | €16.0M | €12.0M | 1.33× |
| #3 | Assane Diao Como 1907 | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #4 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #5 | Benja Domínguez Bologna FC 1909 | 22 | 21-23 | €12.0M | €12.0M | 1.00× |
| #6 | Jacob Ondrejka Parma Calcio 1913 | 23 | 21-23 | €8.0M | €12.0M | 0.67× |
| #7 | Alieu Njie Torino FC | 21 | 21-23 | €2.5M | €12.0M | 0.21× |
| #8 | Agustín Albarracín Cagliari Calcio | 20 | U21 | €1.8M | €30.0M | 0.06× |
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)
Como 1907's Assane Diao at 20 years old has the highest Return-to-Peak Potential at +35%. That means Assane Diao is projected to appreciate 35% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is Cagliari Calcio's Agustín Albarracín, who is 20 years old, with a +35% RPP (6 years to peak). Third is Jesús Rodríguez of Como 1907, who is 20 years old with a +35% RPP (6 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 35% RPP means the player is expected to gain 35% 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 | Assane Diao Como 1907 | 20 | 6 | €30.0M | €46.4M | +35% |
| #2 | Agustín Albarracín Cagliari Calcio | 20 | 6 | €1.8M | €2.8M | +35% |
| #3 | Jesús Rodríguez Como 1907 | 20 | 6 | €30.0M | €46.4M | +35% |
| #4 | Alieu Njie Torino FC | 21 | 5 | €2.5M | €3.6M | +30% |
| #5 | Kenan Yıldız Juventus FC | 21 | 5 | €75.0M | €107.8M | +30% |
| #6 | Benja Domínguez Bologna FC 1909 | 22 | 4 | €12.0M | €16.0M | +25% |
| #7 | Jacob Ondrejka Parma Calcio 1913 | 23 | 3 | €8.0M | €9.9M | +20% |
| #8 | Jonathan Rowe Bologna FC 1909 | 23 | 3 | €16.0M | €19.9M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Juventus FC's Kenan Yıldız has the highest Risk-Adjusted Upside at 46.6. That means Kenan Yıldız has 15% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Cagliari Calcio's Agustín Albarracín with a 46.3 RAU (15% upside, 0% uncertainty). Third is Assane Diao of Como 1907 with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 46.6 means the upside is 46.6× 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 | Kenan Yıldız Juventus FC | €86.1M | €74.2M-97.9M | +15% | 46.6 |
| #2 | Agustín Albarracín Cagliari Calcio | €2.1M | €1.8M-2.3M | +15% | 46.3 |
| #3 | Assane Diao Como 1907 | €34.4M | €29.7M-39.1M | +15% | 46.3 |
| #4 | Jesús Rodríguez Como 1907 | €34.4M | €29.7M-39.1M | +15% | 46.3 |
| #5 | Alieu Njie Torino FC | €2.8M | €2.4M-3.1M | +10% | 33.7 |
| #6 | Jacob Ondrejka Parma Calcio 1913 | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #7 | Jonathan Rowe Bologna FC 1909 | €17.1M | €15.1M-19.2M | +7% | 27.5 |
| #8 | Benja Domínguez Bologna FC 1909 | €12.7M | €11.2M-14.2M | +6% | 23.0 |
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 left winger 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)
Parma Calcio 1913's Jacob Ondrejka in the 21-23 age bracket has the highest Age-Share Concentration at +2.2%. That means Kenan Yıldız captures 64.7% of total market value while representing only 62.5% of players in their age group-showing dominant elite status.
In second is Bologna FC 1909's Jonathan Rowe with a +2.2% ASC (64.7% value share vs 62.5% player share in 21-23 bracket). Third is Kenan Yıldız of Juventus FC with a +2.2% ASC (64.7% value vs 62.5% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +2.2% ASC means the player captures 2.2% 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 | Jacob Ondrejka Parma Calcio 1913 | 21-23 | 64.7% | 62.5% | +2.2% |
| #2 | Jonathan Rowe Bologna FC 1909 | 21-23 | 64.7% | 62.5% | +2.2% |
| #3 | Kenan Yıldız Juventus FC | 21-23 | 64.7% | 62.5% | +2.2% |
| #4 | Alieu Njie Torino FC | 21-23 | 64.7% | 62.5% | +2.2% |
| #5 | Benja Domínguez Bologna FC 1909 | 21-23 | 64.7% | 62.5% | +2.2% |
| #6 | Assane Diao Como 1907 | U21 | 35.3% | 37.5% | -2.2% |
| #7 | Agustín Albarracín Cagliari Calcio | U21 | 35.3% | 37.5% | -2.2% |
| #8 | Jesús Rodríguez Como 1907 | U21 | 35.3% | 37.5% | -2.2% |
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, 8 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
No players in this category
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. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Jacob Ondrejka Parma Calcio 1913 | €8.0M | €16.0M | -1.00 | Good Value |
Assane Diao Como 1907 | €30.0M | €16.0M | 0.00 | Fair Value |
Agustín Albarracín Cagliari Calcio | €1.8M | €16.0M | 0.00 | Fair Value |
Jesús Rodríguez Como 1907 | €30.0M | €16.0M | 0.00 | Fair Value |
Jonathan Rowe Bologna FC 1909 | €16.0M | €16.0M | 0.00 | Fair Value |
Kenan Yıldız Juventus FC | €75.0M | €16.0M | 0.00 | Fair Value |
Alieu Njie Torino FC | €2.5M | €16.0M | 0.00 | Fair Value |
Benja Domínguez Bologna FC 1909 | €12.0M | €16.0M | 0.00 | Fair Value |
How We Rank Serie A Young Left Wingers
Our Analytical Strength Index is calibrated specifically for young left wingers, 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 LW
Historical Achievement Index (35%)
Peak career market value for Serie A young left wingers, 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 left wingers, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Attackers with 2,200+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Attackers peak at 26 with fastest 7.0%/year decline (pace-dependent). 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.
LW Performance Benchmarks
Peak Age: 26 years (peak pace and finishing efficiency)
Decline Rate: 7.0% per year (fastest decline, pace-dependent position)
Optimal Minutes: 2,200-2,400 per season (high-intensity position requires rotation)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Attacker -7.0%/year post-peak, +5%/year pre-peak
• 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: ±18% confidence interval (most volatile, form-dependent)
Research Foundation
• Dendir (2016): Age-performance curves for young left wingers
• 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 Left Wingers in the 2026-27 season
Who are the most valuable Young Left Wingers in the Serie A in 2026-27?
The most valuable young left winger in the Serie A in 2026-27 is Kenan Yıldız, who is worth €75.0M and plays for Juventus FC. The second most valuable is Assane Diao (€30.0M, Como 1907), followed by Jesús Rodríguez (€30.0M, Como 1907). Our database tracks 8 Serie A Young Left Wingers with comprehensive market valuations updated for the 2026-27 season.
How are Serie A Young Left Wingers ranked?
Serie A Young Left Wingers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Left Wingers. 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 Left Wingers peak?
Attackers typically peak at age 26, with the fastest decline rate of 7.0% per year after peak. This reflects the position's heavy reliance on pace, acceleration, and explosive power, which deteriorate faster than technical skills. Research by Carmichael et al. (2020) confirms that forwards peak earlier and decline faster than any other position. The optimal playing time is around 2,200-2,400 minutes per season.
How much does it cost to sign a top young left winger from the Serie A?
Transfer fees for Serie A Young Left Wingers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young left winger Kenan Yıldız (market value: €75.0M), estimated transfer fees would range from €60.0M to €105.0M 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 Left Wingers?
Our 1-year forecast model projects market value changes for Serie A Young Left Wingers based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), 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-attackers have ±18% volatility (most volatile due to form-dependency). 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 left winger data come from?
Our Serie A young left winger 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.