Best U23 Young Left Wingers in the Serie A
8 players aged 23 or under · ranked by Analytical Strength Score
Best Young Left Wingers in the Serie A (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Young Left Wingers 2022-23
Our database tracked 8 Serie A Young Left Wingers in the 2022-23 season, representing 6 clubs with a combined market value of €181.5M. The average market value for Serie A Young Left Wingers was €22.7M, with the average age at 21.3 years old.
The most valuable young left winger in the Serie A was Kenan Yıldız, worth €75.0M and played for Juventus FC at 20 years old. The top 5 Young Left Wingers averaged €32.8M in market value, including Jesús Rodríguez and Assane Diao.
Age distribution showed the youngest tracked young left winger was Kenan Yıldız (20 years, Juventus FC, €75.0M), while the oldest was Jacob Ondrejka (23 years, Parma Calcio 1913, €8.0M). 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 2022-23 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 €181.5M 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 U21 bracket (4 players, 50% of market). The U21 age group holds the most value at €137.5M, averaging €34.4M per player.
Top Young Left Wingers by Age Bracket
U21 Years (4 players)
21-23 Years (4 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 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
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
Jonathan Rowe
Bologna FC 1909 • 22 years old
€14.7M
€17.0M
+15.6%
Expected: €18.0M
71.4
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
Jeremy Sarmiento
US Cremonese • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.5M
57.4
Alieu Njie
Torino FC • 20 years old
€2.2M
€2.5M
+15.6%
Expected: €2.9M
39.1
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 2.50×. That means Kenan Yıldız is valued 2.50× higher than the median player in the U21 age bracket—representing exceptional value before reaching peak age.
In second is Bologna FC 1909's Jonathan Rowe, who is 22 years old, with a 1.42× 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 2.50× means the player is worth 150% 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 | €30.0M | 2.50× |
| #2 | Jonathan Rowe Bologna FC 1909 | 22 | 21-23 | €17.0M | €12.0M | 1.42× |
| #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 | Jeremy Sarmiento US Cremonese | 23 | 21-23 | €7.0M | €12.0M | 0.58× |
| #8 | Alieu Njie Torino FC | 20 | U21 | €2.5M | €30.0M | 0.08× |
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 Kenan Yıldız is projected to appreciate 35% as they reach their peak age in 6 years—representing significant upside before entering their prime.
In second is Como 1907's Jesús Rodríguez, who is 20 years old, with a +35% RPP (6 years to peak). Third is Kenan Yıldız of Juventus FC, 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 | Jesús Rodríguez Como 1907 | 20 | 6 | €30.0M | €46.4M | +35% |
| #3 | Kenan Yıldız Juventus FC | 20 | 6 | €75.0M | €115.9M | +35% |
| #4 | Alieu Njie Torino FC | 20 | 6 | €2.5M | €3.9M | +35% |
| #5 | Jonathan Rowe Bologna FC 1909 | 22 | 4 | €17.0M | €22.7M | +25% |
| #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 | Jeremy Sarmiento US Cremonese | 23 | 3 | €7.0M | €8.7M | +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 58.7. That means Kenan Yıldız has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Como 1907's Assane Diao with a 46.3 RAU (15% upside, 0% uncertainty). Third is Jesús Rodríguez 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 58.7 means the upside is 58.7× 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 | €89.5M | €77.2M-101.9M | +19% | 58.7 |
| #2 | Assane Diao Como 1907 | €34.4M | €29.7M-39.1M | +15% | 46.3 |
| #3 | Jesús Rodríguez Como 1907 | €34.4M | €29.7M-39.1M | +15% | 46.3 |
| #4 | Alieu Njie Torino FC | €2.9M | €2.5M-3.3M | +15% | 46.3 |
| #5 | Jacob Ondrejka Parma Calcio 1913 | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #6 | Jeremy Sarmiento US Cremonese | €7.5M | €6.6M-8.4M | +7% | 27.5 |
| #7 | Benja Domínguez Bologna FC 1909 | €12.7M | €11.2M-14.2M | +6% | 23.0 |
| #8 | Jonathan Rowe Bologna FC 1909 | €18.0M | €15.8M-20.2M | +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)
US Cremonese's Jeremy Sarmiento in the 21-23 age bracket has the highest Age-Share Concentration at +-25.8%. That means Jonathan Rowe captures 24.2% of total market value while representing only 50.0% of players in their age group—showing dominant elite status.
In second is Parma Calcio 1913's Jacob Ondrejka with a +-25.8% ASC (24.2% value share vs 50.0% player share in 21-23 bracket). Third is Jonathan Rowe of Bologna FC 1909 with a +-25.8% ASC (24.2% value vs 50.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-25.8% ASC means the player captures -25.8% 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 | Jeremy Sarmiento US Cremonese | 21-23 | 24.2% | 50.0% | -25.8% |
| #2 | Jacob Ondrejka Parma Calcio 1913 | 21-23 | 24.2% | 50.0% | -25.8% |
| #3 | Jonathan Rowe Bologna FC 1909 | 21-23 | 24.2% | 50.0% | -25.8% |
| #4 | Benja Domínguez Bologna FC 1909 | 21-23 | 24.2% | 50.0% | -25.8% |
| #5 | Assane Diao Como 1907 | U21 | 75.8% | 50.0% | +25.8% |
| #6 | Jesús Rodríguez Como 1907 | U21 | 75.8% | 50.0% | +25.8% |
| #7 | Kenan Yıldız Juventus FC | U21 | 75.8% | 50.0% | +25.8% |
| #8 | Alieu Njie Torino FC | U21 | 75.8% | 50.0% | +25.8% |
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: 1 immediate targets, 7 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. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Jeremy Sarmiento US Cremonese | €7.0M | €17.0M | -0.20 | Fair Value |
Assane Diao Como 1907 | €30.0M | €17.0M | 0.00 | Fair Value |
Jesús Rodríguez Como 1907 | €30.0M | €17.0M | 0.00 | Fair Value |
Jacob Ondrejka Parma Calcio 1913 | €8.0M | €17.0M | 0.00 | Fair Value |
Jonathan Rowe Bologna FC 1909 | €17.0M | €17.0M | 0.00 | Fair Value |
Kenan Yıldız Juventus FC | €75.0M | €17.0M | 0.00 | Fair Value |
Alieu Njie Torino FC | €2.5M | €17.0M | 0.00 | Fair Value |
Benja Domínguez Bologna FC 1909 | €12.0M | €17.0M | +0.80 | Above Market |
