Best Right Wingers in the World (Dec 2025)
Ranked by Analytical Strength Score
Market Overview: World Right Wingers 2025-26
Our database tracks 998 World Right Wingers in the 2025-26 season, representing 659 clubs with a combined market value of €3.8B. The average market value for World Right Wingers is €3.8M, with the average age at 26.1 years old.
The most valuable right winger in the World is Bukayo Saka, worth €150.0M and playing for Arsenal FC at 24 years old. The top 5 Right Wingers average €124.0M in market value, including Rodrygo and Phil Foden.
Age distribution shows the youngest tracked right winger is Lamine Yamal (18 years, FC Barcelona, €200.0M), while the oldest is Lionel Messi (38 years, Inter Miami CF, €18.0M). Research shows Right Wingers typically peak at age 26.
Our 1-year forecast model projects 468 Right Wingers (47%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The World market for Right Wingers remains highly competitive with significant transfer activity expected 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 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 659 clubs with €3.8B 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 (277 players, 28% of market). The 24-26 age group holds the most value at €1.3B, averaging €4.6M per player.
Top Right Wingers by Age Bracket
U21 Years (72 players)
21-23 Years (210 players)
24-26 Years (277 players)
27-29 Years (230 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Right Wingers (10% of players) control €2.6B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the World RW pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Right Wingers
Among 659 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)
Manchester City (3 Right Wingers)
Arsenal FC (2 Right Wingers)
Real Madrid (3 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
€129.7M
€150.0M
+15.6%
Expected: €159.9M
95.5
Rodrygo
Real Madrid • 24 years old
€69.2M
€80.0M
+15.6%
Expected: €85.3M
95.5
Phil Foden
Manchester City • 25 years old
€86.5M
€100.0M
+15.6%
Expected: €101.7M
95.5
Désiré Doué
Paris Saint-Germain • 20 years old
€77.8M
€90.0M
+15.6%
Expected: €107.4M
92.2
Lamine Yamal
FC Barcelona • 18 years old
€173.0M
€200.0M
+15.6%
Expected: €257.0M
90.1
Estêvão
Chelsea FC • 18 years old
€51.9M
€60.0M
+15.6%
Expected: €77.1M
87.1
Franco Mastantuono
Real Madrid • 18 years old
€43.2M
€50.0M
+15.6%
Expected: €64.3M
82.6
Savinho
Manchester City • 21 years old
€43.2M
€50.0M
+15.6%
Expected: €57.4M
81.0
Geovany Quenda
Sporting CP • 18 years old
€38.9M
€45.0M
+15.6%
Expected: €57.8M
78.6
Pedro Neto
Chelsea FC • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €50.9M
75.5
Rayan Cherki
Manchester City • 22 years old
€38.9M
€45.0M
+15.6%
Expected: €49.6M
74.9
Amad Diallo
Manchester United • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
74.2
Karim Adeyemi
Borussia Dortmund • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
74.0
Maghnes Akliouche
AS Monaco • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
74.0
Anthony Elanga
Newcastle United • 23 years old
€36.3M
€42.0M
+15.6%
Expected: €46.8M
71.1
Noni Madueke
Arsenal FC • 23 years old
€34.6M
€40.0M
+15.6%
Expected: €44.6M
69.3
Jarrod Bowen
West Ham United • 28 years old
€51.7M
€40.0M
-22.6%
Expected: €36.4M
68.6
Brennan Johnson
Tottenham Hotspur • 24 years old
€34.6M
€40.0M
+15.6%
Expected: €42.6M
67.7
Antoine Semenyo
AFC Bournemouth • 25 years old
€34.6M
€40.0M
+15.6%
Expected: €40.7M
66.4
Brahim Díaz
Real Madrid • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €42.9M
65.3
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)
Arsenal FC's Bukayo Saka at 24 years old has the highest Pre-Peak Value Efficiency at 150.00×. That means Bukayo Saka is valued 150.00× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is FC Barcelona's Lamine Yamal, who is 18 years old, with a 133.33× PPVE. Third is Phil Foden of Manchester City, who is 25 years old with a 100.00× 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 150.00× means the player is worth 14900% 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 | €150.0M | €1.0M | 150.00× |
| #2 | Lamine Yamal FC Barcelona | 18 | U21 | €200.0M | €1.5M | 133.33× |
| #3 | Phil Foden Manchester City | 25 | 24-26 | €100.0M | €1.0M | 100.00× |
| #4 | Rodrygo Real Madrid | 24 | 24-26 | €80.0M | €1.0M | 80.00× |
| #5 | Savinho Manchester City | 21 | 21-23 | €50.0M | €800K | 62.50× |
| #6 | Désiré Doué Paris Saint-Germain | 20 | U21 | €90.0M | €1.5M | 60.00× |
| #7 | Karim Adeyemi Borussia Dortmund | 23 | 21-23 | €45.0M | €800K | 56.25× |
| #8 | Amad Diallo Manchester United | 23 | 21-23 | €45.0M | €800K | 56.25× |
| #9 | Rayan Cherki Manchester City | 22 | 21-23 | €45.0M | €800K | 56.25× |
| #10 | Maghnes Akliouche AS Monaco | 23 | 21-23 | €45.0M | €800K | 56.25× |
| #11 | Anthony Elanga Newcastle United | 23 | 21-23 | €42.0M | €800K | 52.50× |
| #12 | Pedro Neto Chelsea FC | 25 | 24-26 | €50.0M | €1.0M | 50.00× |
| #13 | Noni Madueke Arsenal FC | 23 | 21-23 | €40.0M | €800K | 50.00× |
| #14 | Matías Soulé AS Roma | 22 | 21-23 | €35.0M | €800K | 43.75× |
| #15 | Giuliano Simeone Atlético de Madrid | 22 | 21-23 | €35.0M | €800K | 43.75× |
| #16 | Estêvão Chelsea FC | 18 | U21 | €60.0M | €1.5M | 40.00× |
| #17 | Brennan Johnson Tottenham Hotspur | 24 | 24-26 | €40.0M | €1.0M | 40.00× |
| #18 | Antoine Semenyo AFC Bournemouth | 25 | 24-26 | €40.0M | €1.0M | 40.00× |
| #19 | Yankuba Minteh Brighton & Hove Albion | 21 | 21-23 | €30.0M | €800K | 37.50× |
| #20 | Johan Bakayoko RB Leipzig | 22 | 21-23 | €30.0M | €800K | 37.50× |
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)
Chelsea FC's Estêvão 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 Real Madrid's Franco Mastantuono, who is 18 years old, with a +44% RPP (8 years to peak). Third is Gabriel Carvalho of Al-Qadsiah 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 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 | Estêvão Chelsea FC | 18 | 8 | €60.0M | €107.2M | +44% |
| #2 | Franco Mastantuono Real Madrid | 18 | 8 | €50.0M | €89.4M | +44% |
| #3 | Gabriel Carvalho Al-Qadsiah FC | 18 | 8 | €12.0M | €21.4M | +44% |
| #4 | Geovany Quenda Sporting CP | 18 | 8 | €45.0M | €80.4M | +44% |
| #5 | Arseniy Dmitriev Akron Togliatti | 18 | 8 | €400K | €715K | +44% |
| #6 | Riquelme Fluminense Football Club | 18 | 8 | €6.0M | €10.7M | +44% |
| #7 | Lamine Yamal FC Barcelona | 18 | 8 | €200.0M | €357.4M | +44% |
| #8 | Ian Subiabre CA River Plate | 18 | 8 | €1.2M | €2.1M | +44% |
| #9 | Eser Gürbüz SC Heerenveen | 18 | 8 | €600K | €1.1M | +44% |
| #10 | Adrián Núñez CA Artigas | 18 | 8 | €250K | €447K | +44% |
| #11 | Hugo Camberos Deportivo Guadalajara | 18 | 8 | €2.5M | €4.5M | +44% |
| #12 | Rayan Clube de Regatas Vasco da Gama | 19 | 7 | €18.0M | €29.9M | +40% |
| #13 | Rodrigo Villalba Club Libertad Asunción | 19 | 7 | €2.0M | €3.3M | +40% |
| #14 | Keny Arroyo Cruzeiro Esporte Clube | 19 | 7 | €7.0M | €11.6M | +40% |
| #15 | Gennadiy Synchuk CF Montréal | 19 | 7 | €2.0M | €3.3M | +40% |
| #16 | Francisco Marchant CSD Colo-Colo | 19 | 7 | €500K | €831K | +40% |
| #17 | Artem Gusol Kolos Kovalivka | 19 | 7 | €300K | €499K | +40% |
| #18 | Lucas Ferreira Shakhtar Donetsk | 19 | 7 | €7.0M | €11.6M | +40% |
| #19 | Tevis Club Athletico Paranaense | 19 | 7 | €800K | €1.3M | +40% |
| #20 | Yarlen CD Tondela | 19 | 7 | €1.0M | €1.7M | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Chelsea FC's Estêvão has the highest Risk-Adjusted Upside at 80.4. That means Estêvão has 29% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Sporting CP's Geovany Quenda with a 80.4 RAU (29% upside, 0% uncertainty). Third is Franco Mastantuono of Real Madrid with a 80.4 RAU (29% 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 | Estêvão Chelsea FC | €77.1M | €66.5M-87.8M | +29% | 80.4 |
| #2 | Geovany Quenda Sporting CP | €57.8M | €49.9M-65.8M | +29% | 80.4 |
| #3 | Franco Mastantuono Real Madrid | €64.3M | €55.4M-73.1M | +29% | 80.4 |
| #4 | Lamine Yamal FC Barcelona | €257.0M | €221.6M-292.5M | +29% | 80.4 |
| #5 | Hugo Camberos Deportivo Guadalajara | €3.1M | €2.7M-3.5M | +23% | 68.9 |
| #6 | Gabriel Carvalho Al-Qadsiah FC | €14.8M | €12.8M-16.9M | +23% | 68.9 |
| #7 | Riquelme Fluminense Football Club | €7.4M | €6.4M-8.4M | +23% | 68.9 |
| #8 | Adrián Núñez CA Artigas | €309K | €266K-351K | +23% | 68.9 |
| #9 | Ian Subiabre CA River Plate | €1.5M | €1.3M-1.7M | +23% | 68.9 |
| #10 | Eser Gürbüz SC Heerenveen | €741K | €639K-843K | +23% | 68.9 |
| #11 | Arseniy Dmitriev Akron Togliatti | €494K | €426K-562K | +23% | 68.9 |
| #12 | Désiré Doué Paris Saint-Germain | €107.4M | €92.6M-122.2M | +19% | 58.7 |
| #13 | Artem Gusol Kolos Kovalivka | €357K | €308K-407K | +19% | 58.0 |
| #14 | Rodrigo Villalba Club Libertad Asunción | €2.4M | €2.1M-2.7M | +19% | 58.0 |
| #15 | Gennadiy Synchuk CF Montréal | €2.4M | €2.1M-2.7M | +19% | 58.0 |
| #16 | Francisco Marchant CSD Colo-Colo | €595K | €513K-678K | +19% | 58.0 |
| #17 | Yarlen CD Tondela | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #18 | Jeremy Mejía CD El Nacional | €298K | €257K-339K | +19% | 58.0 |
| #19 | Ivan Bober Neftekhimik Nizhnekamsk | €298K | €257K-339K | +19% | 58.0 |
| #20 | Bennit Bröger SC Paderborn 07 | €595K | €513K-678K | +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 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)
USD Montagnano 1966's Maxwell Acosty in the 30+ age bracket has the highest Age-Share Concentration at +-12.9%. That means Lionel Messi captures 8.0% of total market value while representing only 20.9% of players in their age group—showing dominant elite status.
In second is CA Progreso's Facundo Sosa with a +-12.9% ASC (8.0% value share vs 20.9% player share in 30+ bracket). Third is Edin Visca of Trabzonspor with a +-12.9% ASC (8.0% value vs 20.9% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-12.9% ASC means the player captures -12.9% 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 | Maxwell Acosty USD Montagnano 1966 | 30+ | 8.0% | 20.9% | -12.9% |
| #2 | Facundo Sosa CA Progreso | 30+ | 8.0% | 20.9% | -12.9% |
| #3 | Edin Visca Trabzonspor | 30+ | 8.0% | 20.9% | -12.9% |
| #4 | Massimo Bruno Francs Borains | 30+ | 8.0% | 20.9% | -12.9% |
| #5 | Erik Lamela AEK Athens | 30+ | 8.0% | 20.9% | -12.9% |
| #6 | Suso Cádiz CF | 30+ | 8.0% | 20.9% | -12.9% |
| #7 | Rachid Ghezzal Olympique Lyon | 30+ | 8.0% | 20.9% | -12.9% |
| #8 | Isaác Brizuela Deportivo Guadalajara | 30+ | 8.0% | 20.9% | -12.9% |
| #9 | Wellington Silva Qingdao Hainiu | 30+ | 8.0% | 20.9% | -12.9% |
| #10 | Ángel Mena Orense SC | 30+ | 8.0% | 20.9% | -12.9% |
| #11 | Jesús Corona CF Monterrey | 30+ | 8.0% | 20.9% | -12.9% |
| #12 | Nathaniel Méndez-Laing Milton Keynes Dons | 30+ | 8.0% | 20.9% | -12.9% |
| #13 | Bryan Carrasco CD Palestino | 30+ | 8.0% | 20.9% | -12.9% |
| #14 | Steven Berghuis Ajax Amsterdam | 30+ | 8.0% | 20.9% | -12.9% |
| #15 | Jordy Croux Yokohama F. Marinos | 30+ | 8.0% | 20.9% | -12.9% |
| #16 | Ryo Miyaichi Yokohama F. Marinos | 30+ | 8.0% | 20.9% | -12.9% |
| #17 | Bertrand Traoré Sunderland AFC | 30+ | 8.0% | 20.9% | -12.9% |
| #18 | Edgar Méndez PT Prachuap FC | 30+ | 8.0% | 20.9% | -12.9% |
| #19 | Raheem Sterling Chelsea FC | 30+ | 8.0% | 20.9% | -12.9% |
| #20 | Giannis Gianniotas Aris Thessaloniki | 30+ | 8.0% | 20.9% | -12.9% |
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: 37 immediate targets, 248 standard acquisitions, 0 watch-list prospects, 435 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 €500K. 0 undervalued, 122 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Yankuba Minteh Brighton & Hove Albion | €30.0M | €800K | -1.20 | Good Value |
Johan Bakayoko RB Leipzig | €30.0M | €800K | -1.20 | Good Value |
Harry Wilson Fulham FC | €15.0M | €800K | -1.00 | Good Value |
Arnaud Nordin 1.FSV Mainz 05 | €5.0M | €800K | -1.00 | Good Value |
Cristian Espinoza San Jose Earthquakes | €5.0M | €800K | -0.75 | Good Value |
Junya Ito KRC Genk | €5.0M | €800K | -0.75 | Good Value |
Pedro Neto Chelsea FC | €50.0M | €800K | -0.71 | Good Value |
Jhon Arias Wolverhampton Wanderers | €17.0M | €800K | -0.71 | Good Value |
Matías Soulé AS Roma | €35.0M | €800K | -0.70 | Good Value |
Giuliano Simeone Atlético de Madrid | €35.0M | €800K | -0.70 | Good Value |
Roberto Alvarado Deportivo Guadalajara | €6.0M | €800K | -0.67 | Good Value |
Luiz Araújo CR Flamengo | €6.0M | €800K | -0.67 | Good Value |
Mousa Tamari Stade Rennais FC | €6.0M | €800K | -0.67 | Good Value |
Ludovic Blas Stade Rennais FC | €18.0M | €800K | -0.57 | Good Value |
Daniel James Leeds United | €18.0M | €800K | -0.57 | Good Value |
İrfan Can Kahveci Fenerbahce | €6.0M | €800K | -0.50 | Fair Value |
Théo Bongonda Spartak Moscow | €6.0M | €800K | -0.50 | Fair Value |
Nathan Tella Bayer 04 Leverkusen | €15.0M | €800K | -0.50 | Fair Value |
Moussa Diaby Al-Ittihad Club | €30.0M | €800K | -0.50 | Fair Value |
Yunus Akgün Galatasaray | €15.0M | €800K | -0.50 | Fair Value |
