Best Left Wingers in the Serie A (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Left Wingers 2022-23
Our database tracked 24 Serie A Left Wingers in the 2022-23 season, representing 15 clubs with a combined market value of €357.9M. The average market value for Serie A Left Wingers was €14.9M, with the average age at 25.0 years old.
The most valuable left winger in the Serie A was Kenan Yıldız, worth €75.0M and played for Juventus FC at 21 years old. The top 5 Left Wingers averaged €44.6M in market value, including Rafael Leão and Jesús Rodríguez.
Age distribution showed the youngest tracked left winger was Jesús Rodríguez (20 years, Como 1907, €30.0M), while the oldest was Stephan El Shaarawy (33 years, AS Roma, €2.5M). Research shows Left Wingers typically peak at age 26.
Historical analysis showed 13 Left Wingers (54%) 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 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 Left Wingers. Identify undervalued assets and track market momentum across 15 clubs with €357.9M combined value.
Age Distribution: Serie A Left Wingers
The Serie A LW market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (9 players, 38% of market). The 24-26 age group holds the most value at €131.3M, averaging €14.6M per player.
Top Left Wingers by Age Bracket
U21 Years (3 players)
21-23 Years (5 players)
24-26 Years (9 players)
27-29 Years (5 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Left Wingers (13% of players) control €175.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 8% of the Serie A LW pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Left Wingers
Among 15 Serie A clubs, Juventus FC leads with 1 Left Wingers worth €75.0M (averaging €75.0M per player). The top 10 clubs account for 75% of tracked Left Wingers.
Juventus FC (1 Left Wingers)
AC Milan (1 Left Wingers)
Como 1907 (2 Left Wingers)
Bologna FC 1909 (3 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 • 21 years old
€64.9M
€75.0M
+15.6%
Expected: €86.1M
92.9
Rafael Leão
AC Milan • 26 years old
€60.5M
€70.0M
+15.6%
Expected: €75.0M
91.8
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
Kamaldeen Sulemana
Atalanta BC • 24 years old
€15.6M
€18.0M
+15.6%
Expected: €18.4M
72.2
Nicolò Cambiaghi
Bologna FC 1909 • 25 years old
€15.6M
€18.0M
+15.6%
Expected: €17.6M
71.8
Jonathan Rowe
Bologna FC 1909 • 23 years old
€13.8M
€16.0M
+15.6%
Expected: €17.1M
71.2
Mattia Zaccagni
SS Lazio • 30 years old
€19.4M
€15.0M
-22.6%
Expected: €12.4M
69.5
Armand Laurienté
US Sassuolo • 27 years old
€14.8M
€14.0M
-5.4%
Expected: €12.3M
68.3
Benja Domínguez
Bologna FC 1909 • 22 years old
€10.4M
€12.0M
+15.6%
Expected: €12.7M
67.1
Jack Harrison
ACF Fiorentina • 29 years old
€12.9M
€10.0M
-22.6%
Expected: €8.3M
60.7
Manor Solomon
ACF Fiorentina • 26 years old
€7.8M
€9.0M
+15.6%
Expected: €9.3M
59.1
Jacob Ondrejka
Parma Calcio 1913 • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €8.6M
59.0
Maxwel Cornet
Genoa CFC • 29 years old
€6.5M
€5.0M
-22.6%
Expected: €4.1M
52.1
Alieu Fadera
US Sassuolo • 24 years old
€3.9M
€4.5M
+15.6%
Expected: €4.6M
51.4
Riccardo Sottil
US Lecce • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.3
Lameck Banda
US Lecce • 25 years old
€2.6M
€3.0M
+15.6%
Expected: €2.9M
42.3
Dennis Johnsen
US Cremonese • 28 years old
€3.9M
€3.0M
-22.6%
Expected: €2.6M
42.0
Mattia Felici
Cagliari Calcio • 25 years old
€2.4M
€2.8M
+15.6%
Expected: €2.7M
41.4
Stephan El Shaarawy
AS Roma • 33 years old
€3.2M
€2.5M
-22.6%
Expected: €2.2M
40.3
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 Nicolò Cambiaghi, who is 25 years old, with a 4.00× PPVE. Third is Kamaldeen Sulemana of Atalanta BC, who is 24 years old with a 4.00× 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 | Nicolò Cambiaghi Bologna FC 1909 | 25 | 24-26 | €18.0M | €4.5M | 4.00× |
| #3 | Kamaldeen Sulemana Atalanta BC | 24 | 24-26 | €18.0M | €4.5M | 4.00× |
| #4 | Jonathan Rowe Bologna FC 1909 | 23 | 21-23 | €16.0M | €12.0M | 1.33× |
| #5 | Assane Diao Como 1907 | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #6 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #7 | Alieu Fadera US Sassuolo | 24 | 24-26 | €4.5M | €4.5M | 1.00× |
| #8 | Benja Domínguez Bologna FC 1909 | 22 | 21-23 | €12.0M | €12.0M | 1.00× |
| #9 | Lameck Banda US Lecce | 25 | 24-26 | €3.0M | €4.5M | 0.67× |
| #10 | Jacob Ondrejka Parma Calcio 1913 | 23 | 21-23 | €8.0M | €12.0M | 0.67× |
| #11 | Mattia Felici Cagliari Calcio | 25 | 24-26 | €2.8M | €4.5M | 0.62× |
| #12 | Adrian Benedyczak Parma Calcio 1913 | 25 | 24-26 | €2.5M | €4.5M | 0.56× |
| #13 | Alieu Njie Torino FC | 21 | 21-23 | €2.5M | €12.0M | 0.21× |
| #14 | 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 Jesús Rodríguez 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% |
| #9 | Kamaldeen Sulemana Atalanta BC | 24 | 2 | €18.0M | €20.8M | +14% |
| #10 | Alieu Fadera US Sassuolo | 24 | 2 | €4.5M | €5.2M | +14% |
| #11 | Mattia Felici Cagliari Calcio | 25 | 1 | €2.8M | €3.0M | +7% |
| #12 | Adrian Benedyczak Parma Calcio 1913 | 25 | 1 | €2.5M | €2.7M | +7% |
| #13 | Lameck Banda US Lecce | 25 | 1 | €3.0M | €3.2M | +7% |
| #14 | Nicolò Cambiaghi Bologna FC 1909 | 25 | 1 | €18.0M | €19.4M | +7% |
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 | Rafael Leão AC Milan | €75.0M | €66.0M-84.0M | +7% | 27.8 |
| #7 | Jacob Ondrejka Parma Calcio 1913 | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #8 | Jonathan Rowe Bologna FC 1909 | €17.1M | €15.1M-19.2M | +7% | 27.5 |
| #9 | Benja Domínguez Bologna FC 1909 | €12.7M | €11.2M-14.2M | +6% | 23.0 |
| #10 | Riccardo Sottil US Lecce | €3.6M | €3.2M-4.0M | +3% | 12.0 |
| #11 | Manor Solomon ACF Fiorentina | €9.3M | €8.2M-10.4M | +3% | 12.0 |
| #12 | Kamaldeen Sulemana Atalanta BC | €18.4M | €16.2M-20.6M | +2% | 9.8 |
| #13 | Alieu Fadera US Sassuolo | €4.6M | €4.1M-5.2M | +2% | 9.8 |
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: 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)
Genoa CFC's Maxwel Cornet in the 27-29 age bracket has the highest Age-Share Concentration at +-11.4%. That means Armand Laurienté captures 9.4% of total market value while representing only 20.8% of players in their age group—showing dominant elite status.
In second is US Lecce's Tete Morente with a +-11.4% ASC (9.4% value share vs 20.8% player share in 27-29 bracket). Third is Dennis Johnsen of US Cremonese with a +-11.4% ASC (9.4% value vs 20.8% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-11.4% ASC means the player captures -11.4% 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 | Maxwel Cornet Genoa CFC | 27-29 | 9.4% | 20.8% | -11.4% |
| #2 | Tete Morente US Lecce | 27-29 | 9.4% | 20.8% | -11.4% |
| #3 | Dennis Johnsen US Cremonese | 27-29 | 9.4% | 20.8% | -11.4% |
| #4 | Jack Harrison ACF Fiorentina | 27-29 | 9.4% | 20.8% | -11.4% |
| #5 | Armand Laurienté US Sassuolo | 27-29 | 9.4% | 20.8% | -11.4% |
| #6 | Jacob Ondrejka Parma Calcio 1913 | 21-23 | 31.7% | 20.8% | +10.9% |
| #7 | Jonathan Rowe Bologna FC 1909 | 21-23 | 31.7% | 20.8% | +10.9% |
| #8 | Kenan Yıldız Juventus FC | 21-23 | 31.7% | 20.8% | +10.9% |
| #9 | Alieu Njie Torino FC | 21-23 | 31.7% | 20.8% | +10.9% |
| #10 | Benja Domínguez Bologna FC 1909 | 21-23 | 31.7% | 20.8% | +10.9% |
| #11 | Assane Diao Como 1907 | U21 | 17.3% | 12.5% | +4.8% |
| #12 | Agustín Albarracín Cagliari Calcio | U21 | 17.3% | 12.5% | +4.8% |
| #13 | Jesús Rodríguez Como 1907 | U21 | 17.3% | 12.5% | +4.8% |
| #14 | Mattia Zaccagni SS Lazio | 30+ | 4.9% | 8.3% | -3.4% |
| #15 | Stephan El Shaarawy AS Roma | 30+ | 4.9% | 8.3% | -3.4% |
| #16 | Rafael Leão AC Milan | 24-26 | 36.7% | 37.5% | -0.8% |
| #17 | Riccardo Sottil US Lecce | 24-26 | 36.7% | 37.5% | -0.8% |
| #18 | Manor Solomon ACF Fiorentina | 24-26 | 36.7% | 37.5% | -0.8% |
| #19 | Adrian Benedyczak Parma Calcio 1913 | 24-26 | 36.7% | 37.5% | -0.8% |
| #20 | Nicolò Cambiaghi Bologna FC 1909 | 24-26 | 36.7% | 37.5% | -0.8% |
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: 0 immediate targets, 8 standard acquisitions, 0 watch-list prospects, 11 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
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, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Tete Morente US Lecce | €1.8M | €9.0M | -1.00 | Good Value |
Jacob Ondrejka Parma Calcio 1913 | €8.0M | €9.0M | -1.00 | Good Value |
Adrian Benedyczak Parma Calcio 1913 | €2.5M | €9.0M | -0.71 | Good Value |
Maxwel Cornet Genoa CFC | €5.0M | €9.0M | -0.56 | Good Value |
Mattia Felici Cagliari Calcio | €2.8M | €9.0M | -0.29 | Fair Value |
Assane Diao Como 1907 | €30.0M | €9.0M | 0.00 | Fair Value |
Agustín Albarracín Cagliari Calcio | €1.8M | €9.0M | 0.00 | Fair Value |
Jesús Rodríguez Como 1907 | €30.0M | €9.0M | 0.00 | Fair Value |
Mattia Zaccagni SS Lazio | €15.0M | €9.0M | 0.00 | Fair Value |
Rafael Leão AC Milan | €70.0M | €9.0M | 0.00 | Fair Value |
Manor Solomon ACF Fiorentina | €9.0M | €9.0M | 0.00 | Fair Value |
Dennis Johnsen US Cremonese | €3.0M | €9.0M | 0.00 | Fair Value |
Jack Harrison ACF Fiorentina | €10.0M | €9.0M | 0.00 | Fair Value |
Nicolò Cambiaghi Bologna FC 1909 | €18.0M | €9.0M | 0.00 | Fair Value |
Lameck Banda US Lecce | €3.0M | €9.0M | 0.00 | Fair Value |
Jonathan Rowe Bologna FC 1909 | €16.0M | €9.0M | 0.00 | Fair Value |
Kamaldeen Sulemana Atalanta BC | €18.0M | €9.0M | 0.00 | Fair Value |
Kenan Yıldız Juventus FC | €75.0M | €9.0M | 0.00 | Fair Value |
Alieu Njie Torino FC | €2.5M | €9.0M | 0.00 | Fair Value |
Stephan El Shaarawy AS Roma | €2.5M | €9.0M | 0.00 | Fair Value |