Best U23 Young Left Wingers in the World
301 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
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
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
Jean-Mattéo Bahoya
Eintracht Frankfurt • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €26.4M
52.3
Oskar Pietuszewski
FC Porto • 18 years old
€21.6M
€25.0M
+15.6%
Expected: €28.7M
51.6
Martial Godo
RC Strasbourg Alsace • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.4M
48.7
Kerim Alajbegovic
Fußballclub Red Bull Salzburg • 18 years old
€19.0M
€22.0M
+15.6%
Expected: €25.2M
48.0
Williot Swedberg
Celta de Vigo • 22 years old
€17.3M
€20.0M
+15.6%
Expected: €21.1M
47.5
Tyrique George
Chelsea FC • 20 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
46.7
Wilson Odobert
Tottenham Hotspur • 21 years old
€15.6M
€18.0M
+15.6%
Expected: €19.0M
44.9
Pablo Pagis
FC Lorient • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €16.0M
41.9
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 241 clubs with €1.1B 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 (200 players, 67% of market). The 21-23 age group holds the most value at €669.6M, averaging €3.3M per player.
Top Young Left Wingers by Age Bracket
U21 Years (99 players)
21-23 Years (200 players)
Market Value Distribution
Elite Tier Concentration
The top 30 Young Left Wingers (10% of players) control €778.0M
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 241 World clubs, RB Leipzig leads with 3 Young Left Wingers worth €123.0M (averaging €41.0M per player). The top 10 clubs account for 7% of tracked Young Left Wingers.
RB Leipzig (3 Young Left Wingers)
Chelsea FC (3 Young Left Wingers)
Juventus FC (1 Young Left Wingers)
Villarreal CF (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 112.50×. That means Yan Diomande is valued 112.50× 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 75.00× PPVE. Third is Said El Mala of 1.FC Köln, who is 20 years old with a 56.25× 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 112.50× means the player is worth 11150% 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 | €800K | 112.50× |
| #2 | Kenan Yıldız Juventus FC | 21 | 21-23 | €75.0M | €1.0M | 75.00× |
| #3 | Said El Mala 1.FC Köln | 20 | U21 | €45.0M | €800K | 56.25× |
| #4 | Bazoumana Touré TSG 1899 Hoffenheim | 20 | U21 | €40.0M | €800K | 50.00× |
| #5 | Alberto Moleiro Villarreal CF | 22 | 21-23 | €50.0M | €1.0M | 50.00× |
| #6 | Rio Ngumoha Liverpool FC | 18 | U21 | €30.0M | €800K | 37.50× |
| #7 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €800K | 37.50× |
| #8 | Antonio Nusa RB Leipzig | 21 | 21-23 | €32.0M | €1.0M | 32.00× |
| #9 | Oskar Pietuszewski FC Porto | 18 | U21 | €25.0M | €800K | 31.25× |
| #10 | Jamie Gittens Chelsea FC | 22 | 21-23 | €30.0M | €1.0M | 30.00× |
| #11 | Malick Fofana Olympique Lyon | 21 | 21-23 | €30.0M | €1.0M | 30.00× |
| #12 | Víctor Muñoz CA Osasuna | 23 | 21-23 | €30.0M | €1.0M | 30.00× |
| #13 | Alejandro Garnacho Chelsea FC | 22 | 21-23 | €28.0M | €1.0M | 28.00× |
| #14 | Kerim Alajbegovic Fußballclub Red Bull Salzburg | 18 | U21 | €22.0M | €800K | 27.50× |
| #15 | Tyrique George Chelsea FC | 20 | U21 | €20.0M | €800K | 25.00× |
| #16 | Jean-Mattéo Bahoya Eintracht Frankfurt | 21 | 21-23 | €25.0M | €1.0M | 25.00× |
| #17 | Martial Godo RC Strasbourg Alsace | 23 | 21-23 | €22.0M | €1.0M | 22.00× |
| #18 | Williot Swedberg Celta de Vigo | 22 | 21-23 | €20.0M | €1.0M | 20.00× |
| #19 | Jan Virgili RCD Mallorca | 20 | U21 | €15.0M | €800K | 18.75× |
| #20 | Wilson Odobert Tottenham Hotspur | 21 | 21-23 | €18.0M | €1.0M | 18.00× |
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 | Luca Rafaelli Instituto Atlético Central Córdoba | 18 | 8 | €400K | €715K | +44% |
| #7 | Bryan Zamblé San Diego Football Club | 18 | 8 | €800K | €1.4M | +44% |
| #8 | Kerim Alajbegovic Fußballclub Red Bull Salzburg | 18 | 8 | €22.0M | €39.3M | +44% |
| #9 | Bruno Arady Club Nacional | 19 | 7 | €400K | €715K | +44% |
| #10 | Martín Mundaca Coquimbo Unido | 19 | 7 | €650K | €1.2M | +44% |
| #11 | Dimitrios Berdos Panthessalonikios Athlitikos Omilos Konstantinoupoliton | 18 | 8 | €300K | €536K | +44% |
| #12 | Rémi Himbert Olympique Lyon | 18 | 8 | €10.0M | €17.9M | +44% |
| #13 | Ruan Pablo Esporte Clube Bahia | 18 | 8 | €8.0M | €14.3M | +44% |
| #14 | Jai Rose Western Sydney Wanderers | 18 | 8 | €250K | €447K | +44% |
| #15 | Gabrijel Sivalec Slaven Belupo Koprivnica | 18 | 8 | €500K | €894K | +44% |
| #16 | Berkay Aslan Basaksehir FK | 19 | 7 | €400K | €665K | +40% |
| #17 | Ognjen Bondzulic FK Mladost Lucani | 19 | 7 | €800K | €1.3M | +40% |
| #18 | Oskar Spiten Molde Fotballklubb | 19 | 7 | €4.5M | €7.5M | +40% |
| #19 | Trevan Sanusi FC Lorient | 19 | 7 | €400K | €665K | +40% |
| #20 | Ondrej Penxa AC Sparta Prague | 19 | 7 | €500K | €831K | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Club Universidad de Chile's Ignacio Vásquez has the highest Risk-Adjusted Upside at 33.7. That means Ignacio Vásquez has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Disqualification's Matías Retamal 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 | Ignacio Vásquez Club Universidad de Chile | €386K | €333K-439K | +10% | 33.7 |
| #2 | Matías Retamal Disqualification | €276K | €238K-314K | +10% | 33.7 |
| #3 | Maxloren Castro Club Sporting Cristal | €1.1M | €950K-1.3M | +10% | 33.7 |
| #4 | Alexis Fretes Club Libertad Asunción | €441K | €380K-502K | +10% | 33.7 |
| #5 | Bruno Arady Club Nacional | €441K | €380K-502K | +10% | 33.7 |
| #6 | Dener Da Silva Club Deportivo Guabirá | €248K | €214K-282K | +10% | 33.7 |
| #7 | Martín Mundaca Coquimbo Unido | €717K | €618K-816K | +10% | 33.7 |
| #8 | Kerim Alajbegovic Fußballclub Red Bull Salzburg | €25.2M | €20.0M-30.5M | +15% | 31.0 |
| #9 | Oskar Pietuszewski FC Porto | €28.7M | €22.7M-34.6M | +15% | 31.0 |
| #10 | Tyrique George Chelsea FC | €22.9M | €18.2M-27.7M | +15% | 31.0 |
| #11 | Jan Virgili RCD Mallorca | €17.2M | €13.6M-20.8M | +15% | 31.0 |
| #12 | Rayane Messi Neom Sports Club | €3.1M | €2.4M-3.7M | +10% | 22.5 |
| #13 | Dean Bosnjak Macarthur FC | €386K | €306K-466K | +10% | 22.5 |
| #14 | Blessing Asumang Göteborgs Atlet- och Idrottssällskap | €386K | €306K-466K | +10% | 22.5 |
| #15 | Franco Minerva Club Atlético Platense | €386K | €306K-466K | +10% | 22.5 |
| #16 | Jeremías Merlo Club de Gimnasia y Esgrima La Plata | €772K | €612K-932K | +10% | 22.5 |
| #17 | Simão Pedro FK Zeleznicar Pancevo | €772K | €612K-932K | +10% | 22.5 |
| #18 | Cristian Sima FCV Farul Constanta | €386K | €306K-466K | +10% | 22.5 |
| #19 | Dilan Godoy Club Atlético Vélez Sársfield | €772K | €612K-932K | +10% | 22.5 |
| #20 | Leo Sauer Feyenoord Rotterdam | €7.7M | €6.1M-9.3M | +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 +-8.4%. That means Kenan Yıldız captures 58.5% of total market value while representing only 66.9% of players in their age group-showing dominant elite status.
In second is FC Nantes's Stredair Appuah with a +-8.4% ASC (58.5% value share vs 66.9% player share in 21-23 bracket). Third is Sami Jalal of Viborg FF with a +-8.4% ASC (58.5% value vs 66.9% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-8.4% ASC means the player captures -8.4% 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 | Sondre Ørjasæter FC Twente Enschede | 21-23 | 58.5% | 66.9% | -8.4% |
| #2 | Stredair Appuah FC Nantes | 21-23 | 58.5% | 66.9% | -8.4% |
| #3 | Sami Jalal Viborg FF | 21-23 | 58.5% | 66.9% | -8.4% |
| #4 | Wesley Al-Nassr Football Club | 21-23 | 58.5% | 66.9% | -8.4% |
| #5 | Daniel Bassi Fotballklubben Bodø/Glimt | 21-23 | 58.5% | 66.9% | -8.4% |
| #6 | Walter Núñez Club Atlético Newell’s Old Boys | 21-23 | 58.5% | 66.9% | -8.4% |
| #7 | Guillermo López Club Deportivo Maldonado | 21-23 | 58.5% | 66.9% | -8.4% |
| #8 | Dilan Salgado CD Palestino | 21-23 | 58.5% | 66.9% | -8.4% |
| #9 | Diether Vásquez Universidad César Vallejo | 21-23 | 58.5% | 66.9% | -8.4% |
| #10 | Eliel Cuiabá Esporte Clube (MT) | 21-23 | 58.5% | 66.9% | -8.4% |
| #11 | Klayver Rukh Lviv | 21-23 | 58.5% | 66.9% | -8.4% |
| #12 | Milan Kolarevic FK Vojvodina Novi Sad | 21-23 | 58.5% | 66.9% | -8.4% |
| #13 | Mirko Susak NK Lokomotiva Zagreb | 21-23 | 58.5% | 66.9% | -8.4% |
| #14 | Adrián Liso Getafe CF | 21-23 | 58.5% | 66.9% | -8.4% |
| #15 | Pau Sans Cracovia | 21-23 | 58.5% | 66.9% | -8.4% |
| #16 | Kenyel Michel Minnesota United FC | 21-23 | 58.5% | 66.9% | -8.4% |
| #17 | Ángel Saavedra Mazatlán FC | 21-23 | 58.5% | 66.9% | -8.4% |
| #18 | Jaurès Assoumou Samsunspor | 21-23 | 58.5% | 66.9% | -8.4% |
| #19 | José Klinger CD Macará | 21-23 | 58.5% | 66.9% | -8.4% |
| #20 | Umeh Emmanuel FC Zürich | 21-23 | 58.5% | 66.9% | -8.4% |
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, 105 standard acquisitions, 194 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 €700K. 0 undervalued, 27 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Alexander Røssing-Lelesiit Hamburger SV | €5.0M | €900K | -1.50 | Good Value |
Jan Virgili RCD Mallorca | €15.0M | €900K | -1.40 | Good Value |
Mateo Silvetti Club Internacional de Fútbol Miami | €6.0M | €900K | -1.00 | Good Value |
Alberto Moleiro Villarreal CF | €50.0M | €900K | -1.00 | Good Value |
Julien Duranville Borussia Dortmund | €6.0M | €900K | -1.00 | Good Value |
Rio Ngumoha Liverpool FC | €30.0M | €900K | -0.67 | Good Value |
Jesús Rodríguez Como 1907 | €30.0M | €900K | -0.67 | Good Value |
Dener Da Silva Club Deportivo Guabirá | €225K | €900K | -0.63 | Good Value |
Leonel Jaime Club Atlético River Plate | €225K | €900K | -0.63 | Good Value |
Mardochée Miguel Servette FC | €250K | €900K | -0.58 | Good Value |
Daniel Barat 1.FC Slovacko | €250K | €900K | -0.58 | Good Value |
Bassco Soyer Gil Vicente FC | €250K | €900K | -0.58 | Good Value |
Matías Retamal Disqualification | €250K | €900K | -0.58 | Good Value |
Nathan Walker Wellington Phoenix | €250K | €900K | -0.58 | Good Value |
Jai Rose Western Sydney Wanderers | €250K | €900K | -0.58 | Good Value |
Abdoulaye Camara Vejle Boldklub | €250K | €900K | -0.58 | Good Value |
Gary Rea Club Deportivo Oriente Petrolero | €225K | €900K | -0.52 | Good Value |
José Alí Cusco FC | €225K | €900K | -0.52 | Good Value |
Pablo López Valencia CF | €300K | €900K | -0.50 | Fair Value |
Dilan Salgado CD Palestino | €250K | €900K | -0.50 | Fair Value |
Market Overview: World Young Left Wingers 2023-24
Our database tracked 299 World Young Left Wingers in the 2023-24 season, representing 241 clubs with a combined market value of €1.1B. The average market value for World Young Left Wingers was €3.8M, 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 287 Young Left Wingers (96%) 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 2023-24 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 2023-24 season
Who are the most valuable Young Left Wingers in the World in 2023-24?
The most valuable young left winger in the World in 2023-24 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 299 World Young Left Wingers with comprehensive market valuations updated for the 2023-24 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 2023-24 season to ensure accuracy for recruitment and investment decisions.