Best Left Wingers in the Serie A (Dec 2025)
Ranked by Analytical Strength Score
Market Overview: Serie A Left Wingers 2025-26
Our database tracks 25 Serie A Left Wingers in the 2025-26 season, representing 16 clubs with a combined market value of €389.7M. The average market value for Serie A Left Wingers is €15.6M, with the average age at 25.1 years old.
The most valuable left winger in the Serie A is Kenan Yıldız, worth €75.0M and playing for Juventus FC at 20 years old. The top 5 Left Wingers average €46.0M in market value, including Rafael Leão and Jesús Rodríguez.
Age distribution shows the youngest tracked left winger is Kenan Yıldız (20 years, Juventus FC, €75.0M), while the oldest is Nicola Sansone (34 years, Without Club, €400K). Research shows Left Wingers typically peak at age 26.
Our 1-year forecast model projects 17 Left Wingers (68%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Serie A market for Left Wingers remains actively developing with emerging talent in the 2025-26 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 16 clubs with €389.7M 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, 36% of market). The U21 age group holds the most value at €137.5M, averaging €34.4M per player.
Top Left Wingers by Age Bracket
U21 Years (4 players)
21-23 Years (5 players)
24-26 Years (9 players)
27-29 Years (4 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Left Wingers (12% 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 16 Serie A clubs, Juventus FC leads with 1 Left Wingers worth €75.0M (averaging €75.0M per player). The top 10 clubs account for 68% of tracked Left Wingers.
Juventus FC (1 Left Wingers)
AC Milan (1 Left Wingers)
Como 1907 (2 Left Wingers)
SSC Napoli (2 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
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
Noa Lang
SSC Napoli • 26 years old
€21.6M
€25.0M
+15.6%
Expected: €25.7M
75.4
Kamaldeen Sulemana
Atalanta BC • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
Mattia Zaccagni
SS Lazio • 30 years old
€25.8M
€20.0M
-22.6%
Expected: €16.6M
73.0
Jonathan Rowe
Bologna FC 1909 • 22 years old
€14.7M
€17.0M
+15.6%
Expected: €18.0M
71.4
Armand Laurienté
US Sassuolo • 27 years old
€15.9M
€15.0M
-5.4%
Expected: €13.1M
69.1
Eljif Elmas
SSC Napoli • 26 years old
€12.1M
€14.0M
+15.6%
Expected: €14.4M
68.2
Benja Domínguez
Bologna FC 1909 • 22 years old
€10.4M
€12.0M
+15.6%
Expected: €12.7M
67.1
Nicolò Cambiaghi
Bologna FC 1909 • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
61.3
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
€10.3M
€8.0M
-22.6%
Expected: €6.6M
57.9
Jeremy Sarmiento
US Cremonese • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.5M
57.4
Alieu Fadera
US Sassuolo • 24 years old
€3.9M
€4.5M
+15.6%
Expected: €4.6M
51.4
Stephan El Shaarawy
AS Roma • 33 years old
€4.5M
€3.5M
-22.6%
Expected: €3.1M
48.1
Dennis Johnsen
US Cremonese • 27 years old
€3.7M
€3.5M
-5.4%
Expected: €3.1M
47.4
Riccardo Sottil
US Lecce • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.3
Lameck Banda
US Lecce • 24 years old
€2.6M
€3.0M
+15.6%
Expected: €3.1M
42.7
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)
Bologna FC 1909's Nicolò Cambiaghi at 24 years old has the highest Pre-Peak Value Efficiency at 3.33×. That means Nicolò Cambiaghi is valued 3.33× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Juventus FC's Kenan Yıldız, who is 20 years old, with a 2.50× PPVE. Third is Kamaldeen Sulemana of Atalanta BC, who is 23 years old with a 1.67× 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 3.33× means the player is worth 233% 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 | Nicolò Cambiaghi Bologna FC 1909 | 24 | 24-26 | €10.0M | €3.0M | 3.33× |
| #2 | Kenan Yıldız Juventus FC | 20 | U21 | €75.0M | €30.0M | 2.50× |
| #3 | Kamaldeen Sulemana Atalanta BC | 23 | 21-23 | €20.0M | €12.0M | 1.67× |
| #4 | Alieu Fadera US Sassuolo | 24 | 24-26 | €4.5M | €3.0M | 1.50× |
| #5 | Jonathan Rowe Bologna FC 1909 | 22 | 21-23 | €17.0M | €12.0M | 1.42× |
| #6 | Assane Diao Como 1907 | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #7 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #8 | Adrian Benedyczak Parma Calcio 1913 | 25 | 24-26 | €3.0M | €3.0M | 1.00× |
| #9 | Lameck Banda US Lecce | 24 | 24-26 | €3.0M | €3.0M | 1.00× |
| #10 | Benja Domínguez Bologna FC 1909 | 22 | 21-23 | €12.0M | €12.0M | 1.00× |
| #11 | Mattia Felici Cagliari Calcio | 24 | 24-26 | €2.8M | €3.0M | 0.93× |
| #12 | Jacob Ondrejka Parma Calcio 1913 | 23 | 21-23 | €8.0M | €12.0M | 0.67× |
| #13 | Jeremy Sarmiento US Cremonese | 23 | 21-23 | €7.0M | €12.0M | 0.58× |
| #14 | 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 | Kamaldeen Sulemana Atalanta BC | 23 | 3 | €20.0M | €24.9M | +20% |
| #8 | Jacob Ondrejka Parma Calcio 1913 | 23 | 3 | €8.0M | €9.9M | +20% |
| #9 | Jeremy Sarmiento US Cremonese | 23 | 3 | €7.0M | €8.7M | +20% |
| #10 | Alieu Fadera US Sassuolo | 24 | 2 | €4.5M | €5.2M | +14% |
| #11 | Mattia Felici Cagliari Calcio | 24 | 2 | €2.8M | €3.2M | +14% |
| #12 | Nicolò Cambiaghi Bologna FC 1909 | 24 | 2 | €10.0M | €11.6M | +14% |
| #13 | Lameck Banda US Lecce | 24 | 2 | €3.0M | €3.5M | +14% |
| #14 | Adrian Benedyczak Parma Calcio 1913 | 25 | 1 | €3.0M | €3.2M | +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 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 | Rafael Leão AC Milan | €75.0M | €66.0M-84.0M | +7% | 27.8 |
| #6 | Jacob Ondrejka Parma Calcio 1913 | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #7 | Kamaldeen Sulemana Atalanta BC | €21.4M | €18.8M-24.0M | +7% | 27.5 |
| #8 | Jeremy Sarmiento US Cremonese | €7.5M | €6.6M-8.4M | +7% | 27.5 |
| #9 | Benja Domínguez Bologna FC 1909 | €12.7M | €11.2M-14.2M | +6% | 23.0 |
| #10 | Jonathan Rowe Bologna FC 1909 | €18.0M | €15.8M-20.2M | +6% | 23.0 |
| #11 | Riccardo Sottil US Lecce | €3.6M | €3.2M-4.0M | +3% | 12.0 |
| #12 | Eljif Elmas SSC Napoli | €14.4M | €12.7M-16.1M | +3% | 12.0 |
| #13 | Noa Lang SSC Napoli | €25.7M | €22.7M-28.8M | +3% | 12.0 |
| #14 | Mattia Felici Cagliari Calcio | €2.9M | €2.5M-3.2M | +2% | 9.8 |
| #15 | Alieu Fadera US Sassuolo | €4.6M | €4.1M-5.2M | +2% | 9.8 |
| #16 | Lameck Banda US Lecce | €3.1M | €2.7M-3.4M | +2% | 9.8 |
| #17 | Nicolò Cambiaghi Bologna FC 1909 | €10.2M | €9.0M-11.5M | +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 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 Assane Diao in the U21 age bracket has the highest Age-Share Concentration at +19.3%. That means Kenan Yıldız captures 35.3% of total market value while representing only 16.0% of players in their age group—showing dominant elite status.
In second is Como 1907's Jesús Rodríguez with a +19.3% ASC (35.3% value share vs 16.0% player share in U21 bracket). Third is Kenan Yıldız of Juventus FC with a +19.3% ASC (35.3% value vs 16.0% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +19.3% ASC means the player captures 19.3% 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 | Assane Diao Como 1907 | U21 | 35.3% | 16.0% | +19.3% |
| #2 | Jesús Rodríguez Como 1907 | U21 | 35.3% | 16.0% | +19.3% |
| #3 | Kenan Yıldız Juventus FC | U21 | 35.3% | 16.0% | +19.3% |
| #4 | Alieu Njie Torino FC | U21 | 35.3% | 16.0% | +19.3% |
| #5 | Maxwel Cornet Genoa CFC | 27-29 | 7.3% | 16.0% | -8.7% |
| #6 | Tete Morente US Lecce | 27-29 | 7.3% | 16.0% | -8.7% |
| #7 | Dennis Johnsen US Cremonese | 27-29 | 7.3% | 16.0% | -8.7% |
| #8 | Armand Laurienté US Sassuolo | 27-29 | 7.3% | 16.0% | -8.7% |
| #9 | Mattia Zaccagni SS Lazio | 30+ | 6.1% | 12.0% | -5.9% |
| #10 | Nicola Sansone Without Club | 30+ | 6.1% | 12.0% | -5.9% |
| #11 | Stephan El Shaarawy AS Roma | 30+ | 6.1% | 12.0% | -5.9% |
| #12 | Jeremy Sarmiento US Cremonese | 21-23 | 16.4% | 20.0% | -3.6% |
| #13 | Jacob Ondrejka Parma Calcio 1913 | 21-23 | 16.4% | 20.0% | -3.6% |
| #14 | Jonathan Rowe Bologna FC 1909 | 21-23 | 16.4% | 20.0% | -3.6% |
| #15 | Kamaldeen Sulemana Atalanta BC | 21-23 | 16.4% | 20.0% | -3.6% |
| #16 | Benja Domínguez Bologna FC 1909 | 21-23 | 16.4% | 20.0% | -3.6% |
| #17 | Noa Lang SSC Napoli | 24-26 | 34.8% | 36.0% | -1.2% |
| #18 | Rafael Leão AC Milan | 24-26 | 34.8% | 36.0% | -1.2% |
| #19 | Riccardo Sottil US Lecce | 24-26 | 34.8% | 36.0% | -1.2% |
| #20 | Eljif Elmas SSC Napoli | 24-26 | 34.8% | 36.0% | -1.2% |
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: 1 immediate targets, 8 standard acquisitions, 0 watch-list prospects, 11 at peak.
BUY NOW - High Upside
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 | €2.0M | €8.0M | -1.00 | Good Value |
Nicolò Cambiaghi Bologna FC 1909 | €10.0M | €8.0M | -1.00 | Good Value |
Jonathan Rowe Bologna FC 1909 | €17.0M | €8.0M | -1.00 | Good Value |
Nicola Sansone Without Club | €400K | €8.0M | -1.00 | Good Value |
Mattia Felici Cagliari Calcio | €2.8M | €8.0M | -0.40 | Fair Value |
Jeremy Sarmiento US Cremonese | €7.0M | €8.0M | -0.20 | Fair Value |
Assane Diao Como 1907 | €30.0M | €8.0M | 0.00 | Fair Value |
Jesús Rodríguez Como 1907 | €30.0M | €8.0M | 0.00 | Fair Value |
Maxwel Cornet Genoa CFC | €8.0M | €8.0M | 0.00 | Fair Value |
Mattia Zaccagni SS Lazio | €20.0M | €8.0M | 0.00 | Fair Value |
Noa Lang SSC Napoli | €25.0M | €8.0M | 0.00 | Fair Value |
Rafael Leão AC Milan | €70.0M | €8.0M | 0.00 | Fair Value |
Eljif Elmas SSC Napoli | €14.0M | €8.0M | 0.00 | Fair Value |
Dennis Johnsen US Cremonese | €3.5M | €8.0M | 0.00 | Fair Value |
Adrian Benedyczak Parma Calcio 1913 | €3.0M | €8.0M | 0.00 | Fair Value |
Lameck Banda US Lecce | €3.0M | €8.0M | 0.00 | Fair Value |
Armand Laurienté US Sassuolo | €15.0M | €8.0M | 0.00 | Fair Value |
Jacob Ondrejka Parma Calcio 1913 | €8.0M | €8.0M | 0.00 | Fair Value |
Kamaldeen Sulemana Atalanta BC | €20.0M | €8.0M | 0.00 | Fair Value |
Kenan Yıldız Juventus FC | €75.0M | €8.0M | 0.00 | Fair Value |