Best Right Wingers in the MLS (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: MLS Right Wingers 2025-26
Our database tracks 23 MLS Right Wingers in the 2025-26 season, representing 20 clubs with a combined market value of €100.9M. The average market value for MLS Right Wingers is €4.4M, with the average age at 26.4 years old.
The most valuable right winger in the MLS is Anders Dreyer, worth €12.0M and playing for San Diego FC at 27 years old. The top 5 Right Wingers average €10.8M in market value, including Lionel Messi and Miguel Almirón.
Age distribution shows the youngest tracked right winger is Mateo Silvetti (19 years, Inter Miami CF, €5.0M), 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 13 Right Wingers (57%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The MLS market for Right Wingers remains actively developing with emerging talent 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 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 20 clubs with €100.9M combined value.
Age Distribution: MLS Right Wingers
The MLS RW market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (8 players, 35% of market). The 30+ age group holds the most value at €36.4M, averaging €7.3M per player.
Top Right Wingers by Age Bracket
U21 Years (2 players)
21-23 Years (3 players)
24-26 Years (8 players)
27-29 Years (5 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Right Wingers (13% of players) control €40.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 4% of the MLS RW pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: MLS Right Wingers
Among 20 MLS clubs, Inter Miami CF leads with 3 Right Wingers worth €26.0M (averaging €8.7M per player). The top 10 clubs account for 57% of tracked Right Wingers.
Inter Miami CF (3 Right Wingers)
San Diego FC (1 Right Wingers)
Atlanta United FC (1 Right Wingers)
Charlotte FC (1 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.
Anders Dreyer
San Diego FC • 27 years old
€12.0M
€12.0M
+0.0%
Expected: €11.4M
65.2
Lionel Messi
Inter Miami CF • 38 years old
€18.0M
€18.0M
+0.0%
Expected: €17.1M
63.8
Miguel Almirón
Atlanta United FC • 31 years old
€10.0M
€10.0M
+0.0%
Expected: €9.5M
56.5
Liel Abada
Charlotte FC • 24 years old
€6.1M
€7.0M
+15.6%
Expected: €7.8M
55.6
Joseph Paintsil
Los Angeles Galaxy • 27 years old
€7.0M
€7.0M
+0.0%
Expected: €6.6M
54.9
Marco Pašalić
Orlando City SC • 25 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
53.7
Osman Bukari
Austin FC • 26 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
51.5
Hannes Wolf
New York City FC • 26 years old
€3.9M
€4.5M
+15.6%
Expected: €4.6M
50.1
Cristian Espinoza
San Jose Earthquakes • 30 years old
€5.0M
€5.0M
+0.0%
Expected: €4.7M
48.6
Mateo Silvetti
Inter Miami CF • 19 years old
€4.3M
€5.0M
+15.6%
Expected: €6.8M
47.1
Tadeo Allende
Inter Miami CF • 26 years old
€2.6M
€3.0M
+15.6%
Expected: €3.1M
41.5
Shapi Suleymanov
Sporting Kansas City • 25 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
39.2
Philip Zinckernagel
Chicago Fire FC • 30 years old
€3.0M
€3.0M
+0.0%
Expected: €2.8M
38.6
Indiana Vassilev
Philadelphia Union • 24 years old
€1.7M
€2.0M
+15.6%
Expected: €2.2M
36.5
Theo Corbeanu
Toronto FC • 23 years old
€1.6M
€1.8M
+15.6%
Expected: €2.1M
35.1
Louicius Deedson
FC Dallas • 24 years old
€1.3M
€1.5M
+15.6%
Expected: €1.7M
32.9
Emmanuel Sabbi
Vancouver Whitecaps FC • 27 years old
€1.5M
€1.5M
+0.0%
Expected: €1.4M
32.2
Gennadiy Synchuk
CF Montréal • 19 years old
€1.7M
€2.0M
+15.6%
Expected: €2.7M
32.1
Yaw Yeboah
Los Angeles FC • 28 years old
€1.2M
€1.2M
+0.0%
Expected: €1.1M
28.7
Ender Echenique
FC Cincinnati • 21 years old
€1.0M
€1.2M
+15.6%
Expected: €1.5M
27.9
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 FC's Liel Abada at 24 years old has the highest Pre-Peak Value Efficiency at 2.80×. That means Liel Abada is valued 2.80× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Orlando City SC's Marco Pašalić, who is 25 years old, with a 2.40× PPVE. Third is Theo Corbeanu of Toronto FC, who is 23 years old with a 1.50× 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 2.80× means the player is worth 180% 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 FC | 24 | 24-26 | €7.0M | €2.5M | 2.80× |
| #2 | Marco Pašalić Orlando City SC | 25 | 24-26 | €6.0M | €2.5M | 2.40× |
| #3 | Theo Corbeanu Toronto FC | 23 | 21-23 | €1.8M | €1.2M | 1.50× |
| #4 | Mateo Silvetti Inter Miami CF | 19 | U21 | €5.0M | €5.0M | 1.00× |
| #5 | Shapi Suleymanov Sporting Kansas City | 25 | 24-26 | €2.5M | €2.5M | 1.00× |
| #6 | Ender Echenique FC Cincinnati | 21 | 21-23 | €1.2M | €1.2M | 1.00× |
| #7 | Indiana Vassilev Philadelphia Union | 24 | 24-26 | €2.0M | €2.5M | 0.80× |
| #8 | Cameron Harper New York Red Bulls | 23 | 21-23 | €750K | €1.2M | 0.63× |
| #9 | Louicius Deedson FC Dallas | 24 | 24-26 | €1.5M | €2.5M | 0.60× |
| #10 | Gennadiy Synchuk CF Montréal | 19 | U21 | €2.0M | €5.0M | 0.40× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Inter Miami CF's Mateo Silvetti has the highest Risk-Adjusted Upside at 96.4. That means Mateo Silvetti has 36% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is CF Montréal's Gennadiy Synchuk with a 96.4 RAU (36% upside, 0% uncertainty). Third is Ender Echenique of FC Cincinnati with a 75.2 RAU (26% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 96.4 means the upside is 96.4× 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 | Mateo Silvetti Inter Miami CF | €6.8M | €5.9M-7.8M | +36% | 96.4 |
| #2 | Gennadiy Synchuk CF Montréal | €2.7M | €2.3M-3.1M | +36% | 96.4 |
| #3 | Ender Echenique FC Cincinnati | €1.5M | €1.3M-1.7M | +26% | 75.2 |
| #4 | Theo Corbeanu Toronto FC | €2.1M | €1.8M-2.3M | +16% | 57.7 |
| #5 | Cameron Harper New York Red Bulls | €871K | €766K-975K | +16% | 57.7 |
| #6 | Liel Abada Charlotte FC | €7.8M | €6.8M-8.7M | +11% | 41.4 |
| #7 | Louicius Deedson FC Dallas | €1.7M | €1.5M-1.9M | +11% | 41.4 |
| #8 | Indiana Vassilev Philadelphia Union | €2.2M | €2.0M-2.5M | +11% | 41.4 |
| #9 | Marco Pašalić Orlando City SC | €6.4M | €5.6M-7.1M | +6% | 23.5 |
| #10 | Shapi Suleymanov Sporting Kansas City | €2.6M | €2.3M-3.0M | +6% | 23.5 |
| #11 | Osman Bukari Austin FC | €5.1M | €4.5M-5.8M | +3% | 12.0 |
| #12 | Hannes Wolf New York City FC | €4.6M | €4.1M-5.2M | +3% | 12.0 |
| #13 | Tadeo Allende Inter Miami CF | €3.1M | €2.7M-3.5M | +3% | 12.0 |
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)
Chicago Fire FC's Philip Zinckernagel in the 30+ age bracket has the highest Age-Share Concentration at +14.4%. That means Lionel Messi captures 36.1% of total market value while representing only 21.7% of players in their age group—showing dominant elite status.
In second is Atlanta United FC's Miguel Almirón with a +14.4% ASC (36.1% value share vs 21.7% player share in 30+ bracket). Third is Cristian Espinoza of San Jose Earthquakes with a +14.4% ASC (36.1% value vs 21.7% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +14.4% ASC means the player captures 14.4% 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 | Philip Zinckernagel Chicago Fire FC | 30+ | 36.1% | 21.7% | +14.4% |
| #2 | Miguel Almirón Atlanta United FC | 30+ | 36.1% | 21.7% | +14.4% |
| #3 | Cristian Espinoza San Jose Earthquakes | 30+ | 36.1% | 21.7% | +14.4% |
| #4 | Lionel Messi Inter Miami CF | 30+ | 36.1% | 21.7% | +14.4% |
| #5 | Johnny Russell Real Salt Lake City | 30+ | 36.1% | 21.7% | +14.4% |
| #6 | Theo Corbeanu Toronto FC | 21-23 | 3.7% | 13.0% | -9.3% |
| #7 | Cameron Harper New York Red Bulls | 21-23 | 3.7% | 13.0% | -9.3% |
| #8 | Ender Echenique FC Cincinnati | 21-23 | 3.7% | 13.0% | -9.3% |
| #9 | Hannes Wolf New York City FC | 24-26 | 31.2% | 34.8% | -3.5% |
| #10 | Shapi Suleymanov Sporting Kansas City | 24-26 | 31.2% | 34.8% | -3.5% |
| #11 | Marco Pašalić Orlando City SC | 24-26 | 31.2% | 34.8% | -3.5% |
| #12 | Indiana Vassilev Philadelphia Union | 24-26 | 31.2% | 34.8% | -3.5% |
| #13 | Liel Abada Charlotte FC | 24-26 | 31.2% | 34.8% | -3.5% |
| #14 | Osman Bukari Austin FC | 24-26 | 31.2% | 34.8% | -3.5% |
| #15 | Louicius Deedson FC Dallas | 24-26 | 31.2% | 34.8% | -3.5% |
| #16 | Tadeo Allende Inter Miami CF | 24-26 | 31.2% | 34.8% | -3.5% |
| #17 | Gennadiy Synchuk CF Montréal | U21 | 6.9% | 8.7% | -1.8% |
| #18 | Mateo Silvetti Inter Miami CF | U21 | 6.9% | 8.7% | -1.8% |
| #19 | Anders Dreyer San Diego FC | 27-29 | 22.0% | 21.7% | +0.3% |
| #20 | Yaw Yeboah Los Angeles FC | 27-29 | 22.0% | 21.7% | +0.3% |
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: 5 immediate targets, 5 standard acquisitions, 0 watch-list prospects, 7 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 €12.0M. 0 undervalued, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Cristian Espinoza San Jose Earthquakes | €5.0M | €3.0M | -1.00 | Good Value |
Joseph Paintsil Los Angeles Galaxy | €7.0M | €3.0M | -1.00 | Good Value |
Johnny Russell Real Salt Lake City | €400K | €3.0M | -1.00 | Good Value |
Louicius Deedson FC Dallas | €1.5M | €3.0M | -1.00 | Good Value |
Chris Mueller Chicago Fire FC | €500K | €3.0M | -0.70 | Good Value |
Indiana Vassilev Philadelphia Union | €2.0M | €3.0M | -0.50 | Fair Value |
Osman Bukari Austin FC | €5.0M | €3.0M | -0.50 | Fair Value |
Cameron Harper New York Red Bulls | €750K | €3.0M | -0.43 | Fair Value |
Gennadiy Synchuk CF Montréal | €2.0M | €3.0M | 0.00 | Fair Value |
Mateo Silvetti Inter Miami CF | €5.0M | €3.0M | 0.00 | Fair Value |
Philip Zinckernagel Chicago Fire FC | €3.0M | €3.0M | 0.00 | Fair Value |
Miguel Almirón Atlanta United FC | €10.0M | €3.0M | 0.00 | Fair Value |
Lionel Messi Inter Miami CF | €18.0M | €3.0M | 0.00 | Fair Value |
Shapi Suleymanov Sporting Kansas City | €2.5M | €3.0M | 0.00 | Fair Value |
Anders Dreyer San Diego FC | €12.0M | €3.0M | 0.00 | Fair Value |
Yaw Yeboah Los Angeles FC | €1.2M | €3.0M | 0.00 | Fair Value |
Marco Pašalić Orlando City SC | €6.0M | €3.0M | 0.00 | Fair Value |
Ender Echenique FC Cincinnati | €1.2M | €3.0M | 0.00 | Fair Value |
Emmanuel Sabbi Vancouver Whitecaps FC | €1.5M | €3.0M | +0.30 | Fair Value |
Liel Abada Charlotte FC | €7.0M | €3.0M | +0.50 | Fair Value |