Best Right Wingers in the World (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: World Right Wingers 2022-23
Our database tracked 999 World Right Wingers in the 2022-23 season, representing 688 clubs with a combined market value of €4.2B. The average market value for World Right Wingers was €4.2M, with the average age at 26.0 years old.
The most valuable right winger in the World was Bukayo Saka, worth €130.0M and played for Arsenal FC at 24 years old. The top 5 Right Wingers averaged €125.0M in market value, including Michael Olise and Désiré Doué.
Age distribution showed the youngest tracked right winger was Lamine Yamal (18 years, FC Barcelona, €200.0M), while the oldest was Edgar Méndez (36 years, PT Prachuap FC, €250K). Research shows Right Wingers typically peak at age 26.
Historical analysis showed 463 Right Wingers (46%) 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 Right Wingers remained highly competitive with significant transfer activity 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 World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Right Wingers. Identify undervalued assets and track market momentum across 688 clubs with €4.2B combined value.
Age Distribution: World Right Wingers
The World RW market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (331 players, 33% of market). The 24-26 age group holds the most value at €1.8B, averaging €5.6M per player.
Top Right Wingers by Age Bracket
U21 Years (52 players)
21-23 Years (198 players)
24-26 Years (331 players)
27-29 Years (245 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Right Wingers (10% of players) control €3.0B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the World RW pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Right Wingers
Among 688 World clubs, FC Barcelona leads with 2 Right Wingers worth €210.0M (averaging €105.0M per player). The top 10 clubs account for 2% of tracked Right Wingers.
FC Barcelona (2 Right Wingers)
Arsenal FC (2 Right Wingers)
Real Madrid (3 Right Wingers)
Crystal Palace (5 Right Wingers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Bukayo Saka
Arsenal FC • 24 years old
€112.4M
€130.0M
+15.6%
Expected: €138.6M
95.5
Michael Olise
Bayern Munich • 24 years old
€112.4M
€130.0M
+15.6%
Expected: €138.6M
95.5
Désiré Doué
Paris Saint-Germain • 20 years old
€77.8M
€90.0M
+15.6%
Expected: €107.4M
92.2
Bryan Mbeumo
Manchester United • 26 years old
€64.9M
€75.0M
+15.6%
Expected: €80.4M
92.0
Lamine Yamal
FC Barcelona • 18 years old
€173.0M
€200.0M
+15.6%
Expected: €257.0M
90.1
Antoine Semenyo
Manchester City • 26 years old
€56.2M
€65.0M
+15.6%
Expected: €69.7M
87.0
Karim Adeyemi
Borussia Dortmund • 24 years old
€51.9M
€60.0M
+15.6%
Expected: €64.0M
86.4
Christian Pulisic
AC Milan • 27 years old
€63.4M
€60.0M
-5.4%
Expected: €54.7M
85.2
Rodrygo
Real Madrid • 25 years old
€51.9M
€60.0M
+15.6%
Expected: €61.0M
84.6
Pedro Neto
Chelsea FC • 26 years old
€51.9M
€60.0M
+15.6%
Expected: €64.3M
82.7
Franco Mastantuono
Real Madrid • 18 years old
€43.2M
€50.0M
+15.6%
Expected: €64.3M
82.6
Mohammed Kudus
Tottenham Hotspur • 25 years old
€47.6M
€55.0M
+15.6%
Expected: €56.0M
79.9
Amad Diallo
Manchester United • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.7M
79.1
Geovany Quenda
Sporting CP • 19 years old
€38.9M
€45.0M
+15.6%
Expected: €55.8M
77.3
Noni Madueke
Arsenal FC • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €53.3M
77.2
Mason Greenwood
Olympique Marseille • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €53.3M
77.1
Anthony Elanga
Newcastle United • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €53.3M
77.1
Maghnes Akliouche
AS Monaco • 24 years old
€38.9M
€45.0M
+15.6%
Expected: €48.0M
72.4
Iliman Ndiaye
Everton FC • 26 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
69.5
Giuliano Simeone
Atlético de Madrid • 23 years old
€34.6M
€40.0M
+15.6%
Expected: €44.6M
69.2
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)
Arsenal FC's Bukayo Saka at 24 years old has the highest Pre-Peak Value Efficiency at 130.00×. That means Bukayo Saka is valued 130.00× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Bayern Munich's Michael Olise, who is 24 years old, with a 130.00× PPVE. Third is Lamine Yamal of FC Barcelona, who is 18 years old with a 80.00× 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 130.00× means the player is worth 12900% 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 | Bukayo Saka Arsenal FC | 24 | 24-26 | €130.0M | €1.0M | 130.00× |
| #2 | Michael Olise Bayern Munich | 24 | 24-26 | €130.0M | €1.0M | 130.00× |
| #3 | Lamine Yamal FC Barcelona | 18 | U21 | €200.0M | €2.5M | 80.00× |
| #4 | Amad Diallo Manchester United | 23 | 21-23 | €50.0M | €800K | 62.50× |
| #5 | Rodrygo Real Madrid | 25 | 24-26 | €60.0M | €1.0M | 60.00× |
| #6 | Karim Adeyemi Borussia Dortmund | 24 | 24-26 | €60.0M | €1.0M | 60.00× |
| #7 | Mohammed Kudus Tottenham Hotspur | 25 | 24-26 | €55.0M | €1.0M | 55.00× |
| #8 | Noni Madueke Arsenal FC | 24 | 24-26 | €50.0M | €1.0M | 50.00× |
| #9 | Mason Greenwood Olympique Marseille | 24 | 24-26 | €50.0M | €1.0M | 50.00× |
| #10 | Anthony Elanga Newcastle United | 24 | 24-26 | €50.0M | €1.0M | 50.00× |
| #11 | Giuliano Simeone Atlético de Madrid | 23 | 21-23 | €40.0M | €800K | 50.00× |
| #12 | Maghnes Akliouche AS Monaco | 24 | 24-26 | €45.0M | €1.0M | 45.00× |
| #13 | Yéremy Pino Crystal Palace | 23 | 21-23 | €35.0M | €800K | 43.75× |
| #14 | Matías Soulé AS Roma | 23 | 21-23 | €35.0M | €800K | 43.75× |
| #15 | Dan Ndoye Nottingham Forest | 25 | 24-26 | €40.0M | €1.0M | 40.00× |
| #16 | Dilane Bakwa Nottingham Forest | 23 | 21-23 | €32.0M | €800K | 40.00× |
| #17 | Francisco Conceição Juventus FC | 23 | 21-23 | €30.0M | €800K | 37.50× |
| #18 | Désiré Doué Paris Saint-Germain | 20 | U21 | €90.0M | €2.5M | 36.00× |
| #19 | Brennan Johnson Crystal Palace | 25 | 24-26 | €35.0M | €1.0M | 35.00× |
| #20 | Brajan Gruda RB Leipzig | 22 | 21-23 | €28.0M | €800K | 35.00× |
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)
Real Madrid's Franco Mastantuono at 18 years old has the highest Return-to-Peak Potential at +44%. That means Lamine Yamal is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is Akron Togliatti's Arseniy Dmitriev, who is 18 years old, with a +44% RPP (8 years to peak). Third is Bruno Durdov of HNK Hajduk Split, 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 44% RPP means the player is expected to gain 44% 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 | Franco Mastantuono Real Madrid | 18 | 8 | €50.0M | €89.4M | +44% |
| #2 | Arseniy Dmitriev Akron Togliatti | 18 | 8 | €400K | €715K | +44% |
| #3 | Bruno Durdov HNK Hajduk Split | 18 | 8 | €3.0M | €5.4M | +44% |
| #4 | Lamine Yamal FC Barcelona | 18 | 8 | €200.0M | €357.4M | +44% |
| #5 | David Otorbi Valencia Mestalla | 18 | 8 | €500K | €894K | +44% |
| #6 | André Miranda FC Porto B | 18 | 8 | €500K | €894K | +44% |
| #7 | Henrique Carmo CSKA Moscow | 19 | 7 | €3.5M | €5.8M | +40% |
| #8 | Gennadiy Synchuk CF Montréal | 19 | 7 | €2.0M | €3.3M | +40% |
| #9 | Antoni Klukowski Widzew Lodz | 19 | 7 | €300K | €499K | +40% |
| #10 | Eser Gürbüz SC Heerenveen | 19 | 7 | €600K | €997K | +40% |
| #11 | Geovany Quenda Sporting CP | 19 | 7 | €45.0M | €74.8M | +40% |
| #12 | Bennit Bröger SC Paderborn 07 | 19 | 7 | €500K | €831K | +40% |
| #13 | Ethan Mbappé LOSC Lille | 19 | 7 | €9.0M | €15.0M | +40% |
| #14 | Samuel Amo-Ameyaw RC Strasbourg Alsace | 19 | 7 | €8.0M | €13.3M | +40% |
| #15 | Ian Subiabre CA River Plate | 19 | 7 | €1.5M | €2.5M | +40% |
| #16 | Clayton Diandy Al-Diraiyah FC | 19 | 7 | €900K | €1.5M | +40% |
| #17 | Luka Vrzic HNK Gorica | 19 | 7 | €450K | €748K | +40% |
| #18 | Sindre Walle Egeli Ipswich Town | 19 | 7 | €20.0M | €33.2M | +40% |
| #19 | Hugo Camberos Deportivo Guadalajara | 19 | 7 | €2.2M | €3.7M | +40% |
| #20 | Gianluca Prestianni SL Benfica | 20 | 6 | €12.0M | €18.5M | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Real Madrid's Franco Mastantuono has the highest Risk-Adjusted Upside at 80.4. That means Lamine Yamal has 29% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is FC Barcelona's Lamine Yamal with a 80.4 RAU (29% upside, 0% uncertainty). Third is Geovany Quenda of Sporting CP with a 70.0 RAU (24% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 80.4 means the upside is 80.4× 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 | Franco Mastantuono Real Madrid | €64.3M | €55.4M-73.1M | +29% | 80.4 |
| #2 | Lamine Yamal FC Barcelona | €257.0M | €221.6M-292.5M | +29% | 80.4 |
| #3 | Geovany Quenda Sporting CP | €55.8M | €48.1M-63.5M | +24% | 70.0 |
| #4 | Bruno Durdov HNK Hajduk Split | €3.7M | €3.2M-4.2M | +23% | 68.9 |
| #5 | David Otorbi Valencia Mestalla | €617K | €532K-703K | +23% | 68.9 |
| #6 | André Miranda FC Porto B | €617K | €532K-703K | +23% | 68.9 |
| #7 | Arseniy Dmitriev Akron Togliatti | €494K | €426K-562K | +23% | 68.9 |
| #8 | Désiré Doué Paris Saint-Germain | €107.4M | €92.6M-122.2M | +19% | 58.7 |
| #9 | Antoni Klukowski Widzew Lodz | €357K | €308K-407K | +19% | 58.0 |
| #10 | Eser Gürbüz SC Heerenveen | €714K | €616K-813K | +19% | 58.0 |
| #11 | Gennadiy Synchuk CF Montréal | €2.4M | €2.1M-2.7M | +19% | 58.0 |
| #12 | Bennit Bröger SC Paderborn 07 | €595K | €513K-678K | +19% | 58.0 |
| #13 | Samuel Amo-Ameyaw RC Strasbourg Alsace | €9.5M | €8.2M-10.8M | +19% | 58.0 |
| #14 | Hugo Camberos Deportivo Guadalajara | €2.6M | €2.3M-3.0M | +19% | 58.0 |
| #15 | Sindre Walle Egeli Ipswich Town | €23.8M | €20.5M-27.1M | +19% | 58.0 |
| #16 | Ethan Mbappé LOSC Lille | €10.7M | €9.2M-12.2M | +19% | 58.0 |
| #17 | Ian Subiabre CA River Plate | €1.8M | €1.5M-2.0M | +19% | 58.0 |
| #18 | Henrique Carmo CSKA Moscow | €4.2M | €3.6M-4.7M | +19% | 58.0 |
| #19 | Clayton Diandy Al-Diraiyah FC | €1.1M | €924K-1.2M | +19% | 58.0 |
| #20 | Luka Vrzic HNK Gorica | €536K | €462K-610K | +19% | 58.0 |
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: right 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)
Cádiz CF's Suso in the 30+ age bracket has the highest Age-Share Concentration at +-11.6%. That means Mohamed Salah captures 5.7% of total market value while representing only 17.3% of players in their age group—showing dominant elite status.
In second is Olympique Lyon's Rachid Ghezzal with a +-11.6% ASC (5.7% value share vs 17.3% player share in 30+ bracket). Third is Wellington Silva of Chengdu Rongcheng with a +-11.6% ASC (5.7% value vs 17.3% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-11.6% ASC means the player captures -11.6% 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 | Suso Cádiz CF | 30+ | 5.7% | 17.3% | -11.6% |
| #2 | Rachid Ghezzal Olympique Lyon | 30+ | 5.7% | 17.3% | -11.6% |
| #3 | Wellington Silva Chengdu Rongcheng | 30+ | 5.7% | 17.3% | -11.6% |
| #4 | Nathaniel Méndez-Laing Milton Keynes Dons | 30+ | 5.7% | 17.3% | -11.6% |
| #5 | Bryan Carrasco CD Palestino | 30+ | 5.7% | 17.3% | -11.6% |
| #6 | Steven Berghuis Ajax Amsterdam | 30+ | 5.7% | 17.3% | -11.6% |
| #7 | Jordy Croux Yokohama F. Marinos | 30+ | 5.7% | 17.3% | -11.6% |
| #8 | Bertrand Traoré Sunderland AFC | 30+ | 5.7% | 17.3% | -11.6% |
| #9 | Edgar Méndez PT Prachuap FC | 30+ | 5.7% | 17.3% | -11.6% |
| #10 | Raheem Sterling Without Club | 30+ | 5.7% | 17.3% | -11.6% |
| #11 | Lei Wu Shanghai Port | 30+ | 5.7% | 17.3% | -11.6% |
| #12 | Javier Cabrera CA Peñarol | 30+ | 5.7% | 17.3% | -11.6% |
| #13 | Mohamed Salah Liverpool FC | 30+ | 5.7% | 17.3% | -11.6% |
| #14 | Kingsley Schindler Buriram United | 30+ | 5.7% | 17.3% | -11.6% |
| #15 | Tom Ince Watford FC | 30+ | 5.7% | 17.3% | -11.6% |
| #16 | Ager Aketxe Johor Darul Ta'zim | 30+ | 5.7% | 17.3% | -11.6% |
| #17 | Felipe Anderson Sociedade Esportiva Palmeiras | 30+ | 5.7% | 17.3% | -11.6% |
| #18 | Robson Grêmio Novorizontino | 30+ | 5.7% | 17.3% | -11.6% |
| #19 | Yimmi Chará Junior FC | 30+ | 5.7% | 17.3% | -11.6% |
| #20 | Matteo Politano SSC Napoli | 30+ | 5.7% | 17.3% | -11.6% |
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: 20 immediate targets, 238 standard acquisitions, 0 watch-list prospects, 496 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 €600K. 2 undervalued, 132 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Cole Campbell TSG 1899 Hoffenheim | €5.0M | €800K | -2.00 | Undervalued |
Francisco Conceição Juventus FC | €30.0M | €800K | -1.67 | Undervalued |
Dilane Bakwa Nottingham Forest | €32.0M | €800K | -1.00 | Good Value |
Tyler Dibling Everton FC | €30.0M | €800K | -1.00 | Good Value |
Esmir Bajraktarevic PSV Eindhoven | €5.0M | €800K | -0.83 | Good Value |
Andrés Gómez Clube de Regatas Vasco da Gama | €5.0M | €800K | -0.83 | Good Value |
Adam Daghim VfL Wolfsburg | €7.5M | €800K | -0.75 | Good Value |
Viktor Tsygankov Girona FC | €15.0M | €800K | -0.71 | Good Value |
Anders Dreyer San Diego FC | €15.0M | €800K | -0.71 | Good Value |
Jhon Arias Wolverhampton Wanderers | €15.0M | €800K | -0.71 | Good Value |
Loum Tchaouna Burnley FC | €15.0M | €800K | -0.71 | Good Value |
Carlos Álvarez Levante UD | €15.0M | €800K | -0.71 | Good Value |
Bertrand Traoré Sunderland AFC | €5.0M | €800K | -0.67 | Good Value |
Raheem Sterling Without Club | €5.0M | €800K | -0.67 | Good Value |
Florian Thauvin RC Lens | €5.0M | €800K | -0.67 | Good Value |
Jesurun Rak-Sakyi Crystal Palace | €6.0M | €800K | -0.67 | Good Value |
Kayky Esporte Clube Bahia | €6.0M | €800K | -0.67 | Good Value |
Miguel Rodríguez FC Utrecht | €6.5M | €800K | -0.58 | Good Value |
Alysson Aston Villa | €8.0M | €800K | -0.50 | Fair Value |
Patrick Roberts Birmingham City | €5.0M | €800K | -0.50 | Fair Value |
