Best U23 Young Left Wingers in the World
318 players aged 23 or under · ranked by Analytical Strength Index
Best Young Left Wingers in the World (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.
Kenan Yıldız
Juventus FC • 21 years old
€64.9M
€75.0M
+15.6%
Expected: €75.7M
94.0
Yan Diomande
RB Leipzig • 19 years old
€77.8M
€90.0M
+15.6%
Expected: €89.2M
91.3
Alberto Moleiro
Villarreal CF • 22 years old
€43.2M
€50.0M
+15.6%
Expected: €50.5M
80.9
Said El Mala
1.FC Köln • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €47.5M
77.1
Bazoumana Touré
TSG 1899 Hoffenheim • 20 years old
€34.6M
€40.0M
+15.6%
Expected: €42.2M
71.6
Patrick Dorgu
Manchester United • 21 years old
€30.3M
€35.0M
+15.6%
Expected: €35.3M
66.0
Savinho
Manchester City • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €35.3M
65.9
Mika Godts
Ajax Amsterdam • 21 years old
€30.3M
€35.0M
+15.6%
Expected: €35.3M
65.5
Antonio Nusa
RB Leipzig • 21 years old
€27.7M
€32.0M
+15.6%
Expected: €32.3M
62.7
Rio Ngumoha
Liverpool FC • 18 years old
€25.9M
€30.0M
+15.6%
Expected: €31.7M
58.1
Jamie Gittens
Chelsea FC • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €30.3M
57.8
Jesús Rodríguez
Como 1907 • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €31.7M
57.6
Malick Fofana
Olympique Lyon • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €30.3M
57.6
Assane Diao
Como 1907 • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €30.3M
57.6
Andreas Schjelderup
SL Benfica • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €30.3M
57.3
Víctor Muñoz
CA Osasuna • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €30.8M
56.5
Alejandro Garnacho
Chelsea FC • 22 years old
€24.2M
€28.0M
+15.6%
Expected: €29.6M
55.8
Jonathan Rowe
Olympique Marseille • 23 years old
€24.2M
€28.0M
+15.6%
Expected: €29.8M
54.5
Alisson Santos
SSC Napoli • 23 years old
€24.2M
€28.0M
+15.6%
Expected: €29.8M
54.5
Jean-Mattéo Bahoya
Eintracht Frankfurt • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €26.4M
52.3
If you were World's sporting director, who would you sign?
Pick a club, select up to 3 players, and build your transfer proposal.
Explore Market Size by Position in World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Young Left Wingers. Identify undervalued assets and track market momentum across 239 clubs with €1.8B combined value.
Age Distribution: World Young Left Wingers
The World LW market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (233 players, 74% of market). The 21-23 age group holds the most value at €1.2B, averaging €5.2M per player.
Top Young Left Wingers by Age Bracket
U21 Years (82 players)
21-23 Years (233 players)
Market Value Distribution
Elite Tier Concentration
The top 32 Young Left Wingers (10% of players) control €998.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the World LW pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Young Left Wingers
Among 239 World clubs, RB Leipzig leads with 5 Young Left Wingers worth €133.0M (averaging €26.6M per player). The top 10 clubs account for 8% of tracked Young Left Wingers.
RB Leipzig (5 Young Left Wingers)
Chelsea FC (3 Young Left Wingers)
Juventus FC (1 Young Left Wingers)
Como 1907 (2 Young Left Wingers)
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)
RB Leipzig's Yan Diomande at 19 years old has the highest Pre-Peak Value Efficiency at 45.00×. That means Yan Diomande is valued 45.00× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is Juventus FC's Kenan Yıldız, who is 21 years old, with a 41.67× PPVE. Third is Alberto Moleiro of Villarreal CF, who is 22 years old with a 27.78× 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 45.00× means the player is worth 4400% 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 | Yan Diomande RB Leipzig | 19 | U21 | €90.0M | €2.0M | 45.00× |
| #2 | Kenan Yıldız Juventus FC | 21 | 21-23 | €75.0M | €1.8M | 41.67× |
| #3 | Alberto Moleiro Villarreal CF | 22 | 21-23 | €50.0M | €1.8M | 27.78× |
| #4 | Said El Mala 1.FC Köln | 20 | U21 | €45.0M | €2.0M | 22.50× |
| #5 | Bazoumana Touré TSG 1899 Hoffenheim | 20 | U21 | €40.0M | €2.0M | 20.00× |
| #6 | Savinho Manchester City | 22 | 21-23 | €35.0M | €1.8M | 19.44× |
| #7 | Mika Godts Ajax Amsterdam | 21 | 21-23 | €35.0M | €1.8M | 19.44× |
| #8 | Patrick Dorgu Manchester United | 21 | 21-23 | €35.0M | €1.8M | 19.44× |
| #9 | Antonio Nusa RB Leipzig | 21 | 21-23 | €32.0M | €1.8M | 17.78× |
| #10 | Assane Diao Como 1907 | 21 | 21-23 | €30.0M | €1.8M | 16.67× |
| #11 | Andreas Schjelderup SL Benfica | 22 | 21-23 | €30.0M | €1.8M | 16.67× |
| #12 | Jamie Gittens Chelsea FC | 22 | 21-23 | €30.0M | €1.8M | 16.67× |
| #13 | Malick Fofana Olympique Lyon | 21 | 21-23 | €30.0M | €1.8M | 16.67× |
| #14 | Víctor Muñoz CA Osasuna | 23 | 21-23 | €30.0M | €1.8M | 16.67× |
| #15 | Jonathan Rowe Olympique Marseille | 23 | 21-23 | €28.0M | €1.8M | 15.56× |
| #16 | Alejandro Garnacho Chelsea FC | 22 | 21-23 | €28.0M | €1.8M | 15.56× |
| #17 | Alisson Santos SSC Napoli | 23 | 21-23 | €28.0M | €1.8M | 15.56× |
| #18 | Rio Ngumoha Liverpool FC | 18 | U21 | €30.0M | €2.0M | 15.00× |
| #19 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €2.0M | 15.00× |
| #20 | Kevin FC Shakhtar Donetsk | 23 | 21-23 | €25.0M | €1.8M | 13.89× |
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)
Club Sporting Cristal's Maxloren Castro at 18 years old has the highest Return-to-Peak Potential at +48%. That means Maxloren Castro is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Charlotte Football Club's Nimfasha Berchimas, who is 18 years old, with a +44% RPP (8 years to peak). Third is Rio Ngumoha of Liverpool FC, who is 18 years old with a +44% RPP (8 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 48% RPP means the player is expected to gain 48% 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 | Maxloren Castro Club Sporting Cristal | 18 | 8 | €1.0M | €1.9M | +48% |
| #2 | Nimfasha Berchimas Charlotte Football Club | 18 | 8 | €1.5M | €2.7M | +44% |
| #3 | Rio Ngumoha Liverpool FC | 18 | 8 | €30.0M | €53.6M | +44% |
| #4 | Oskar Pietuszewski FC Porto | 18 | 8 | €25.0M | €44.7M | +44% |
| #5 | Alex Marchal Real Sociedad | 18 | 8 | €800K | €1.4M | +44% |
| #6 | Bryan Zamblé San Diego Football Club | 18 | 8 | €800K | €1.4M | +44% |
| #7 | Kerim Alajbegovic Fußballclub Red Bull Salzburg | 18 | 8 | €22.0M | €39.3M | +44% |
| #8 | Martín Mundaca Coquimbo Unido | 19 | 7 | €650K | €1.2M | +44% |
| #9 | Rémi Himbert Olympique Lyon | 18 | 8 | €10.0M | €17.9M | +44% |
| #10 | Ruan Pablo Esporte Clube Bahia | 18 | 8 | €8.0M | €14.3M | +44% |
| #11 | Moises Paniagua Wydad Casablanca | 19 | 7 | €1.0M | €1.8M | +44% |
| #12 | Ognjen Bondzulic FK Mladost Lucani | 19 | 7 | €800K | €1.3M | +40% |
| #13 | Oskar Spiten Molde Fotballklubb | 19 | 7 | €4.5M | €7.5M | +40% |
| #14 | Mikey Moore Rangers FC | 19 | 7 | €18.0M | €29.9M | +40% |
| #15 | Jay Robinson Southampton FC | 19 | 7 | €8.0M | €13.3M | +40% |
| #16 | Oumar Camara Vitória Guimarães SC | 19 | 7 | €8.0M | €13.3M | +40% |
| #17 | Quentin Ndjantou Paris Saint-Germain | 19 | 7 | €8.0M | €13.3M | +40% |
| #18 | Rayane Messi Neom Sports Club | 19 | 7 | €2.8M | €4.7M | +40% |
| #19 | Berat Luş Galatasaray | 19 | 7 | €800K | €1.3M | +40% |
| #20 | Deniz Zeitler TSG 1899 Hoffenheim | 19 | 7 | €4.0M | €6.6M | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Zenit St. Petersburg's Pedro has the highest Risk-Adjusted Upside at 33.7. That means Pedro has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Wydad Casablanca's Moises Paniagua with a 33.7 RAU (10% upside, 0% uncertainty). Third is Maxloren Castro of Club Sporting Cristal with a 33.7 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 33.7 means the upside is 33.7× 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 | Pedro Zenit St. Petersburg | €16.5M | €14.3M-18.8M | +10% | 33.7 |
| #2 | Moises Paniagua Wydad Casablanca | €1.1M | €950K-1.3M | +10% | 33.7 |
| #3 | Maxloren Castro Club Sporting Cristal | €1.1M | €950K-1.3M | +10% | 33.7 |
| #4 | Martín Mundaca Coquimbo Unido | €717K | €618K-816K | +10% | 33.7 |
| #5 | Mikey Moore Rangers FC | €20.7M | €16.4M-24.9M | +15% | 31.0 |
| #6 | Kerim Alajbegovic Fußballclub Red Bull Salzburg | €25.2M | €20.0M-30.5M | +15% | 31.0 |
| #7 | Oskar Pietuszewski FC Porto | €28.7M | €22.7M-34.6M | +15% | 31.0 |
| #8 | Tyrique George Chelsea FC | €22.9M | €18.2M-27.7M | +15% | 31.0 |
| #9 | Jan Virgili RCD Mallorca | €17.2M | €13.6M-20.8M | +15% | 31.0 |
| #10 | Rayane Messi Neom Sports Club | €3.1M | €2.4M-3.7M | +10% | 22.5 |
| #11 | Jeremías Merlo Club de Gimnasia y Esgrima La Plata | €772K | €612K-932K | +10% | 22.5 |
| #12 | Simão Pedro FK Zeleznicar Pancevo | €772K | €612K-932K | +10% | 22.5 |
| #13 | Dilan Godoy Club Atlético Vélez Sársfield | €772K | €612K-932K | +10% | 22.5 |
| #14 | Mamadou Diakhon Club Brugge KV | €7.7M | €6.1M-9.3M | +10% | 22.5 |
| #15 | Herba Guirassy FC Nantes | €7.7M | €6.1M-9.3M | +10% | 22.5 |
| #16 | Prince Amoako Junior FC Nordsjaelland | €7.7M | €6.1M-9.3M | +10% | 22.5 |
| #17 | Leo Sauer Feyenoord Rotterdam | €7.7M | €6.1M-9.3M | +10% | 22.5 |
| #18 | Tom Watson Brighton & Hove Albion | €7.7M | €6.1M-9.3M | +10% | 22.5 |
| #19 | Santiago López Club Atlético Tigre | €2.2M | €1.7M-2.7M | +10% | 22.5 |
| #20 | Jay Robinson Southampton FC | €8.8M | €7.0M-10.6M | +10% | 22.5 |
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 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)
FC Twente Enschede's Sondre Ørjasæter in the 21-23 age bracket has the highest Age-Share Concentration at +-5.1%. That means Kenan Yıldız captures 68.9% of total market value while representing only 74.0% of players in their age group-showing dominant elite status.
In second is West Ham United's Keiber Lamadrid with a +-5.1% ASC (68.9% value share vs 74.0% player share in 21-23 bracket). Third is Sami Jalal of Viborg FF with a +-5.1% ASC (68.9% value vs 74.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-5.1% ASC means the player captures -5.1% 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 | Sondre Ørjasæter FC Twente Enschede | 21-23 | 68.9% | 74.0% | -5.1% |
| #2 | Keiber Lamadrid West Ham United | 21-23 | 68.9% | 74.0% | -5.1% |
| #3 | Sami Jalal Viborg FF | 21-23 | 68.9% | 74.0% | -5.1% |
| #4 | Wesley Al-Nassr Football Club | 21-23 | 68.9% | 74.0% | -5.1% |
| #5 | Daniel Bassi Fotballklubben Bodø/Glimt | 21-23 | 68.9% | 74.0% | -5.1% |
| #6 | Walter Núñez Club Atlético Newell’s Old Boys | 21-23 | 68.9% | 74.0% | -5.1% |
| #7 | Antoine Joujou FC Famalicão | 21-23 | 68.9% | 74.0% | -5.1% |
| #8 | Sebastián Castillo TOV FK Metalist 1925 Kharkiv | 21-23 | 68.9% | 74.0% | -5.1% |
| #9 | Eguinaldo FC Shakhtar Donetsk | 21-23 | 68.9% | 74.0% | -5.1% |
| #10 | Milan Kolarevic FK Vojvodina Novi Sad | 21-23 | 68.9% | 74.0% | -5.1% |
| #11 | Emrecan Bulut Caykur Rizespor | 21-23 | 68.9% | 74.0% | -5.1% |
| #12 | Marwan Al-Sahafi Royal Antwerp FC | 21-23 | 68.9% | 74.0% | -5.1% |
| #13 | Enso González Wolverhampton Wanderers | 21-23 | 68.9% | 74.0% | -5.1% |
| #14 | Adrián Liso Getafe CF | 21-23 | 68.9% | 74.0% | -5.1% |
| #15 | Pau Sans Cracovia | 21-23 | 68.9% | 74.0% | -5.1% |
| #16 | Assane Diao Como 1907 | 21-23 | 68.9% | 74.0% | -5.1% |
| #17 | Kenyel Michel Minnesota United FC | 21-23 | 68.9% | 74.0% | -5.1% |
| #18 | Ángel Saavedra Mazatlán FC | 21-23 | 68.9% | 74.0% | -5.1% |
| #19 | Jaurès Assoumou Samsunspor | 21-23 | 68.9% | 74.0% | -5.1% |
| #20 | Umeh Emmanuel FC Zürich | 21-23 | 68.9% | 74.0% | -5.1% |
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, 96 standard acquisitions, 219 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 €900K. 0 undervalued, 31 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Eguinaldo FC Shakhtar Donetsk | €5.0M | €1.8M | -1.00 | Good Value |
Alexander Røssing-Lelesiit Hamburger SV | €5.0M | €1.8M | -1.00 | Good Value |
Suleman Sani RB Leipzig | €5.0M | €1.8M | -1.00 | Good Value |
Samuel Edozie Southampton FC | €5.0M | €1.8M | -1.00 | Good Value |
Ștefan Baiaram Universitatea Craiova | €5.0M | €1.8M | -1.00 | Good Value |
Alberto Moleiro Villarreal CF | €50.0M | €1.8M | -1.00 | Good Value |
Isak Jensen AZ Alkmaar | €5.0M | €1.8M | -1.00 | Good Value |
Ismaël Gharbi FC Augsburg | €5.0M | €1.8M | -1.00 | Good Value |
Agustín Ojeda New York City Football Club | €5.0M | €1.8M | -1.00 | Good Value |
Fábio Baldé Hamburger SV | €5.0M | €1.8M | -1.00 | Good Value |
Matías Abaldo Club Atlético Independiente de Avellaneda | €5.0M | €1.8M | -1.00 | Good Value |
Tidiam Gomis RB Leipzig | €5.0M | €1.8M | -1.00 | Good Value |
Pedro Zenit St. Petersburg | €15.0M | €1.8M | -0.71 | Good Value |
Jan Virgili RCD Mallorca | €15.0M | €1.8M | -0.71 | Good Value |
Ansu Fati AS Monaco | €15.0M | €1.8M | -0.71 | Good Value |
Pablo Pagis FC Lorient | €15.0M | €1.8M | -0.71 | Good Value |
Rio Ngumoha Liverpool FC | €30.0M | €1.8M | -0.67 | Good Value |
Jesús Rodríguez Como 1907 | €30.0M | €1.8M | -0.67 | Good Value |
Emrecan Bulut Caykur Rizespor | €600K | €1.8M | -0.50 | Fair Value |
Mateo Silvetti Club Internacional de Fútbol Miami | €6.0M | €1.8M | -0.50 | Fair Value |
Market Overview: World Young Left Wingers 2026-27
Our database tracked 315 World Young Left Wingers in the 2026-27 season, representing 239 clubs with a combined market value of €1.8B. The average market value for World Young Left Wingers was €5.6M, with the average age at 21 years old.
The most valuable young left winger in the World was Kenan Yıldız, worth €75.0M and played for Juventus FC at 21 years old. The top 5 Young Left Wingers averaged €60.0M in market value, including Yan Diomande and Alberto Moleiro.
Age distribution showed the youngest tracked young left winger was Rio Ngumoha (18 years, Liverpool FC, €30.0M), while the oldest was Víctor Muñoz (23 years, CA Osasuna, €30.0M). Research shows Young Left Wingers typically peak at age 26.
Historical analysis showed 307 Young Left Wingers (97%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The World market for Young Left Wingers remained highly competitive with significant transfer activity in the 2026-27 season.
How We Rank World 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 World 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 World 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%)
World competition level factored into comparative strength assessment.
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: Widening steps, not a flat rate: about -5% at 27, -10% at 28, steeper from 29 (earliest onset, 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: Compounding and banded around a peak of 26: +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: ±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 World Young Left Wingers in the 2026-27 season
Who are the most valuable Young Left Wingers in the World in 2026-27?
The most valuable young left winger in the World in 2026-27 is Kenan Yıldız, who is worth €75.0M and plays for Juventus FC. The second most valuable is Yan Diomande (€90.0M, RB Leipzig), followed by Alberto Moleiro (€50.0M, Villarreal CF). Our database tracks 315 World Young Left Wingers with comprehensive market valuations updated for the 2026-27 season.
How are World Young Left Wingers ranked?
World 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 World 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 peak earliest, typically at age 26. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 27, -10% at 28, and -15% or more from 29. 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 World?
Transfer fees for World 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 World transactions.
What is the value forecast for World Young Left Wingers?
Our 1-year forecast model projects market value changes for World 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 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-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 World young left winger data come from?
Our World 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 World sources and updated monthly for the 2026-27 season to ensure accuracy for recruitment and investment decisions.
