Best Right Wingers in the MLS (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: MLS Right Wingers 2024-25
Our database tracked 17 MLS Right Wingers in the 2024-25 season, representing 15 clubs with a combined market value of €96.1M. The average market value for MLS Right Wingers was €5.7M, with the average age at 28 years old.
The most valuable right winger in the MLS was Lionel Messi, worth €35.0M and played for Club Internacional de Fútbol Miami at 39 years old. The top 5 Right Wingers averaged €14.1M in market value, including Anders Dreyer and Miguel Almirón.
Age distribution showed the youngest tracked right winger was Liel Abada (24 years, Charlotte Football Club, €7.0M), while the oldest was Lionel Messi (39 years, Club Internacional de Fútbol Miami, €35.0M). Research shows Right Wingers typically peak at age 26.
Historical analysis showed 4 Right Wingers (24%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The MLS market for Right Wingers remained actively developing with emerging talent in the 2024-25 season.
Explore Market Size by Position in MLS
Interactive bubble chart showing predicted 2-year growth vs current age for all MLS Right Wingers. Identify undervalued assets and track market momentum across 15 clubs with €96.1M combined value.
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.
Age Distribution: MLS Right Wingers
The MLS RW market shows 3 distinct age segments, with the largest cohort in the 24-26 bracket (7 players, 41% of market). The 30+ age group holds the most value at €52.5M, averaging €13.1M per player.
Top Right Wingers by Age Bracket
24-26 Years (7 players)
27-29 Years (6 players)
30+ Years (4 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Right Wingers (12% of players) control €50.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 6% of the MLS RW pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: MLS Right Wingers
Among 15 MLS clubs, Club Internacional de Fútbol Miami leads with 2 Right Wingers worth €39.0M (averaging €19.5M per player). The top 10 clubs account for 71% of tracked Right Wingers.
Club Internacional de Fútbol Miami (2 Right Wingers)
San Diego Football Club (1 Right Wingers)
Atlanta United Football Club (1 Right Wingers)
Charlotte Football Club (1 Right Wingers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Lionel Messi
Club Internacional de Fútbol Miami • 39 years old
€45.2M
€35.0M
-22.6%
Expected: €31.5M
82.5
Anders Dreyer
San Diego Football Club • 28 years old
€19.4M
€15.0M
-22.6%
Expected: €13.5M
68.3
Miguel Almirón
Atlanta United Football Club • 32 years old
€11.6M
€9.0M
-22.6%
Expected: €7.8M
58.2
Liel Abada
Charlotte Football Club • 24 years old
€6.1M
€7.0M
+15.6%
Expected: €7.2M
56.2
Cristian Espinoza
Nashville SC • 31 years old
€5.8M
€4.5M
-22.6%
Expected: €3.7M
49.8
Tadeo Allende
Club Internacional de Fútbol Miami • 27 years old
€4.2M
€4.0M
-5.4%
Expected: €3.5M
48.5
Morgan Guilavogui
Real Salt Lake • 28 years old
€5.2M
€4.0M
-22.6%
Expected: €3.5M
48.5
Philip Zinckernagel
Chicago Fire Soccer Club • 31 years old
€5.2M
€4.0M
-22.6%
Expected: €3.3M
48.4
Emmanuel Sabbi
Vancouver Whitecaps FC • 28 years old
€3.2M
€2.5M
-22.6%
Expected: €2.2M
39.0
Shapi Suleymanov
Sporting Kansas City • 26 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
36.3
Hannes Wolf
New York City Football Club • 27 years old
€2.1M
€2.0M
-5.4%
Expected: €1.7M
36.3
Chris Mueller
Chicago Fire Soccer Club • 29 years old
€2.6M
€2.0M
-22.6%
Expected: €1.6M
36.3
Theo Corbeanu
Toronto FC • 24 years old
€1.3M
€1.5M
+15.6%
Expected: €1.5M
33.8
Indiana Vassilev
Philadelphia Union • 25 years old
€1.3M
€1.5M
+15.6%
Expected: €1.5M
33.3
Louicius Deedson
FC Dallas • 25 years old
€1.0M
€1.2M
+15.6%
Expected: €1.2M
30.6
Cameron Harper
Red Bull New York • 24 years old
€519K
€600K
+15.6%
Expected: €614K
22.6
Marco Pašalić
Orlando City Soccer Club • 25 years old
€303K
€350K
+15.6%
Expected: €342K
15.6
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)
Charlotte Football Club's Liel Abada at 24 years old has the highest Pre-Peak Value Efficiency at 4.67×. That means Liel Abada is valued 4.67× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Philadelphia Union's Indiana Vassilev, who is 25 years old, with a 1.00× PPVE. Third is Theo Corbeanu of Toronto FC, who is 24 years old with a 1.00× 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 4.67× means the player is worth 367% 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 | Liel Abada Charlotte Football Club | 24 | 24-26 | €7.0M | €1.5M | 4.67× |
| #2 | Indiana Vassilev Philadelphia Union | 25 | 24-26 | €1.5M | €1.5M | 1.00× |
| #3 | Theo Corbeanu Toronto FC | 24 | 24-26 | €1.5M | €1.5M | 1.00× |
| #4 | Louicius Deedson FC Dallas | 25 | 24-26 | €1.2M | €1.5M | 0.80× |
| #5 | Cameron Harper Red Bull New York | 24 | 24-26 | €600K | €1.5M | 0.40× |
| #6 | Marco Pašalić Orlando City Soccer Club | 25 | 24-26 | €350K | €1.5M | 0.23× |
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)
Charlotte Football Club's Liel Abada at 24 years old has the highest Return-to-Peak Potential at +14%. That means Liel Abada is projected to appreciate 14% as they reach their peak age in 2 years-representing significant upside before entering their prime.
In second is Red Bull New York's Cameron Harper, who is 24 years old, with a +14% RPP (2 years to peak). Third is Theo Corbeanu of Toronto FC, who is 24 years old with a +14% RPP (2 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 14% RPP means the player is expected to gain 14% 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 | Liel Abada Charlotte Football Club | 24 | 2 | €7.0M | €8.1M | +14% |
| #2 | Cameron Harper Red Bull New York | 24 | 2 | €600K | €694K | +14% |
| #3 | Theo Corbeanu Toronto FC | 24 | 2 | €1.5M | €1.7M | +14% |
| #4 | Marco Pašalić Orlando City Soccer Club | 25 | 1 | €350K | €376K | +7% |
| #5 | Louicius Deedson FC Dallas | 25 | 1 | €1.2M | €1.3M | +7% |
| #6 | Indiana Vassilev Philadelphia Union | 25 | 1 | €1.5M | €1.6M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Sporting Kansas City's Shapi Suleymanov has the highest Risk-Adjusted Upside at 8.0. That means Shapi Suleymanov has 3% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Charlotte Football Club's Liel Abada with a 6.5 RAU (2% upside, 0% uncertainty). Third is Theo Corbeanu of Toronto FC with a 6.5 RAU (2% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 8.0 means the upside is 8.0× 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 | Shapi Suleymanov Sporting Kansas City | €2.1M | €1.7M-2.4M | +3% | 8.0 |
| #2 | Liel Abada Charlotte Football Club | €7.2M | €5.9M-8.5M | +2% | 6.5 |
| #3 | Theo Corbeanu Toronto FC | €1.5M | €1.3M-1.8M | +2% | 6.5 |
| #4 | Cameron Harper Red Bull New York | €614K | €504K-725K | +2% | 6.5 |
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: 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)
Chicago Fire Soccer Club's Philip Zinckernagel in the 30+ age bracket has the highest Age-Share Concentration at +31.1%. That means Lionel Messi captures 54.6% of total market value while representing only 23.5% of players in their age group-showing dominant elite status.
In second is Atlanta United Football Club's Miguel Almirón with a +31.1% ASC (54.6% value share vs 23.5% player share in 30+ bracket). Third is Cristian Espinoza of Nashville SC with a +31.1% ASC (54.6% value vs 23.5% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +31.1% ASC means the player captures 31.1% 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 | Philip Zinckernagel Chicago Fire Soccer Club | 30+ | 54.6% | 23.5% | +31.1% |
| #2 | Miguel Almirón Atlanta United Football Club | 30+ | 54.6% | 23.5% | +31.1% |
| #3 | Cristian Espinoza Nashville SC | 30+ | 54.6% | 23.5% | +31.1% |
| #4 | Lionel Messi Club Internacional de Fútbol Miami | 30+ | 54.6% | 23.5% | +31.1% |
| #5 | Shapi Suleymanov Sporting Kansas City | 24-26 | 14.7% | 41.2% | -26.5% |
| #6 | Marco Pašalić Orlando City Soccer Club | 24-26 | 14.7% | 41.2% | -26.5% |
| #7 | Indiana Vassilev Philadelphia Union | 24-26 | 14.7% | 41.2% | -26.5% |
| #8 | Liel Abada Charlotte Football Club | 24-26 | 14.7% | 41.2% | -26.5% |
| #9 | Theo Corbeanu Toronto FC | 24-26 | 14.7% | 41.2% | -26.5% |
| #10 | Louicius Deedson FC Dallas | 24-26 | 14.7% | 41.2% | -26.5% |
| #11 | Cameron Harper Red Bull New York | 24-26 | 14.7% | 41.2% | -26.5% |
| #12 | Hannes Wolf New York City Football Club | 27-29 | 30.7% | 35.3% | -4.6% |
| #13 | Anders Dreyer San Diego Football Club | 27-29 | 30.7% | 35.3% | -4.6% |
| #14 | Emmanuel Sabbi Vancouver Whitecaps FC | 27-29 | 30.7% | 35.3% | -4.6% |
| #15 | Chris Mueller Chicago Fire Soccer Club | 27-29 | 30.7% | 35.3% | -4.6% |
| #16 | Morgan Guilavogui Real Salt Lake | 27-29 | 30.7% | 35.3% | -4.6% |
| #17 | Tadeo Allende Club Internacional de Fútbol Miami | 27-29 | 30.7% | 35.3% | -4.6% |
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: 0 immediate targets, 0 standard acquisitions, 0 watch-list prospects, 12 at peak.
BUY NOW - High Upside
No players in this category
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
No players in this category
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 €35.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Marco Pašalić Orlando City Soccer Club | €350K | €2.5M | -1.28 | Good Value |
Philip Zinckernagel Chicago Fire Soccer Club | €4.0M | €2.5M | -1.00 | Good Value |
Cameron Harper Red Bull New York | €600K | €2.5M | -1.00 | Good Value |
Louicius Deedson FC Dallas | €1.2M | €2.5M | -0.33 | Fair Value |
Hannes Wolf New York City Football Club | €2.0M | €2.5M | -0.25 | Fair Value |
Chris Mueller Chicago Fire Soccer Club | €2.0M | €2.5M | -0.25 | Fair Value |
Miguel Almirón Atlanta United Football Club | €9.0M | €2.5M | 0.00 | Fair Value |
Cristian Espinoza Nashville SC | €4.5M | €2.5M | 0.00 | Fair Value |
Lionel Messi Club Internacional de Fútbol Miami | €35.0M | €2.5M | 0.00 | Fair Value |
Anders Dreyer San Diego Football Club | €15.0M | €2.5M | 0.00 | Fair Value |
Emmanuel Sabbi Vancouver Whitecaps FC | €2.5M | €2.5M | 0.00 | Fair Value |
Indiana Vassilev Philadelphia Union | €1.5M | €2.5M | 0.00 | Fair Value |
Liel Abada Charlotte Football Club | €7.0M | €2.5M | 0.00 | Fair Value |
Theo Corbeanu Toronto FC | €1.5M | €2.5M | 0.00 | Fair Value |
Shapi Suleymanov Sporting Kansas City | €2.0M | €2.5M | +0.56 | Above Market |
Morgan Guilavogui Real Salt Lake | €4.0M | €2.5M | +0.75 | Above Market |
Tadeo Allende Club Internacional de Fútbol Miami | €4.0M | €2.5M | +0.75 | Above Market |
How We Rank MLS Right Wingers
Our Analytical Strength Index is calibrated specifically for right 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 RW
Historical Achievement Index (35%)
Peak career market value for MLS right 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 MLS right 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%)
MLS 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.
RW Performance Benchmarks
Peak Age: 26 years (peak pace and finishing efficiency)
Decline Rate: 7.0% per year (fastest decline, 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: Attacker -7.0%/year post-peak, +5%/year pre-peak
• 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 right 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 MLS Right Wingers in the 2024-25 season
Who are the most valuable Right Wingers in the MLS in 2024-25?
The most valuable right winger in the MLS in 2024-25 is Lionel Messi, who is worth €35.0M and plays for Club Internacional de Fútbol Miami. The second most valuable is Anders Dreyer (€15.0M, San Diego Football Club), followed by Miguel Almirón (€9.0M, Atlanta United Football Club). Our database tracks 17 MLS Right Wingers with comprehensive market valuations updated for the 2024-25 season.
How are MLS Right Wingers ranked?
MLS Right Wingers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Right 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 MLS 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 Right Wingers peak?
Attackers typically peak at age 26, with the fastest decline rate of 7.0% per year after peak. 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 right winger from the MLS?
Transfer fees for MLS Right Wingers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked right winger Lionel Messi (market value: €35.0M), estimated transfer fees would range from €28.0M to €49.0M 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 MLS transactions.
What is the value forecast for MLS Right Wingers?
Our 1-year forecast model projects market value changes for MLS Right Wingers based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), 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 MLS right winger data come from?
Our MLS right 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 MLS sources and updated monthly for the 2024-25 season to ensure accuracy for recruitment and investment decisions.