Best Players (All Positions) in the MLS (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: MLS Players (All Positions) 2024-25
Our database tracked 510 MLS Players (All Positions) in the 2024-25 season, representing 35 clubs with a combined market value of €40.9B. The average market value for MLS Players (All Positions) was €80.3M, with the average age at 26.4 years old.
The most valuable player in the MLS was Taylor Washington, worth €200.0M and played for Nashville SC at 25 years old. The top 5 Players (All Positions) averaged €200.0M in market value, including Thomas Hasal and Mark Delgado.
Age distribution showed the youngest tracked player was Mateo Silvetti (19 years, Inter Miami CF, €5.0M), while the oldest was Lionel Messi (38 years, Inter Miami CF, €18.0M). Research shows Players (All Positions) typically peak at age 26-27.
Historical analysis showed 364 Players (All Positions) (71%) 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 Players (All Positions) remained highly competitive with significant transfer activity in the 2024-25 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 Players (All Positions). Identify undervalued assets and track market momentum across 35 clubs with €40.9B combined value.
Age Distribution: MLS Players (All Positions)
The MLS ALL market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (334 players, 65% of market). The 24-26 age group holds the most value at €40.5B, averaging €121.2M per player.
Top Players (All Positions) by Age Bracket
U21 Years (4 players)
21-23 Years (22 players)
24-26 Years (334 players)
27-29 Years (66 players)
Market Value Distribution
Elite Tier Concentration
The top 51 Players (All Positions) (10% of players) control €10.2B
Market Tiers
Market structure shows concentrated value with elite (€50m+) tier representing 55% of the MLS ALL pool.
Elite (€50M+)
High (€15-30M)
Mid (€5-15M)
Club Distribution: MLS Players (All Positions)
Among 35 MLS clubs, Charlotte FC leads with 23 Players (All Positions) worth €2.0B (averaging €85.8M per player). The top 10 clubs account for 36% of tracked Players (All Positions).
Charlotte FC (23 Players (All Positions))
Houston Dynamo FC (23 Players (All Positions))
New York Red Bulls (21 Players (All Positions))
Orlando City SC (18 Players (All Positions))
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Taylor Washington
Nashville SC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Thomas Hasal
Los Ángeles FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Mark Delgado
Los Ángeles FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Ian Glavinovich
Philadelphia Union • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Michael Halliday
Houston Dynamo FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Adrián Zendejas
Vancouver Whitecaps FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Noah Eile
New York Red Bulls • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Gabriel Pirani
D.C. United • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Daniel Edelman
New York Red Bulls • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Andrew Thomas
Seattle Sounders FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Marcelo Weigandt
Inter Miami CF • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Gabriel Segal
Houston Dynamo FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Wyatt Omsberg
New England Revolution • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Garrison Tubbs
D.C. United • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Trey Muse
Portland Timbers • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Ben Lundt
St. Louis CITY SC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Tyger Smalls
Charlotte FC • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Andrew Farrell
New England Revolution • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Jeremy Rafanello
Philadelphia Union • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
Diego Fagúndez
Los Ángeles Galaxy • 25 years old
€173.0M
€200.0M
+15.6%
Expected: €220.6M
95.0
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)
Colorado Rapids's Paxten Aaronson at 22 years old has the highest Pre-Peak Value Efficiency at 4.44×. That means Paxten Aaronson is valued 4.44× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Charlotte FC's Adilson Malanda, who is 23 years old, with a 3.33× PPVE. Third is Mateo Silvetti of Inter Miami CF, who is 19 years old with a 2.50× 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 4.44× means the player is worth 344% 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 | Paxten Aaronson Colorado Rapids | 22 | 21-23 | €8.0M | €1.8M | 4.44× |
| #2 | Adilson Malanda Charlotte FC | 23 | 21-23 | €6.0M | €1.8M | 3.33× |
| #3 | Mateo Silvetti Inter Miami CF | 19 | U21 | €5.0M | €2.0M | 2.50× |
| #4 | Kevin Kelsy Portland Timbers | 21 | 21-23 | €4.0M | €1.8M | 2.22× |
| #5 | Andrew Moran Los Angeles FC | 22 | 21-23 | €3.5M | €1.8M | 1.94× |
| #6 | Fallou Fall St. Louis CITY SC | 21 | 21-23 | €3.0M | €1.8M | 1.67× |
| #7 | Telasco Segovia Inter Miami CF | 22 | 21-23 | €3.0M | €1.8M | 1.67× |
| #8 | Caden Glover St. Louis CITY SC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #9 | Ian Glavinovich Philadelphia Union | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #10 | Loïc Mesanvi Minnesota United FC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #11 | Gustavo Caraballo Orlando City SC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #12 | Jeevan Badwal Vancouver Whitecaps FC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #13 | Kaick FC Dallas | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #14 | Brandon Cambridge Charlotte FC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #15 | Markus Anderson Philadelphia Union | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #16 | Tyger Smalls Charlotte FC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #17 | Jimmy Farkarlun Austin FC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #18 | Yutaro Tsukada Orlando City SC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #19 | Ian James Sporting Kansas City | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
| #20 | Ian Pilcher San Diego FC | 25 | 24-26 | €200.0M | €150.0M | 1.33× |
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)
San Diego FC's Duran Ferree has the highest Risk-Adjusted Upside at 184.5. That means Duran Ferree has 51% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is CF Montréal's Thomas Gillier with a 158.9 RAU (41% upside, 0% uncertainty). Third is Brian Schwake of Nashville SC with a 129.7 RAU (26% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 184.5 means the upside is 184.5× 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 | Duran Ferree San Diego FC | €227K | €206K-248K | +51% | 184.5 |
| #2 | Thomas Gillier CF Montréal | €2.5M | €2.3M-2.8M | +41% | 158.9 |
| #3 | Brian Schwake Nashville SC | €252K | €232K-273K | +26% | 129.7 |
| #4 | Mateo Silvetti Inter Miami CF | €6.8M | €5.9M-7.8M | +36% | 96.4 |
| #5 | Gennadiy Synchuk CF Montréal | €2.7M | €2.3M-3.1M | +36% | 96.4 |
| #6 | Brady Scott Los Angeles Galaxy | €145K | €133K-157K | +16% | 86.6 |
| #7 | Ender Echenique FC Cincinnati | €1.5M | €1.3M-1.7M | +26% | 75.2 |
| #8 | Kevin Kelsy Portland Timbers | €5.0M | €4.4M-5.7M | +26% | 75.2 |
| #9 | Juan Mina New York Red Bulls | €252K | €218K-287K | +26% | 75.2 |
| #10 | Fallou Fall St. Louis CITY SC | €3.8M | €3.3M-4.3M | +26% | 75.2 |
| #11 | Odin Holm Los Angeles FC | €1.8M | €1.6M-2.0M | +21% | 72.7 |
| #12 | Telasco Segovia Inter Miami CF | €3.6M | €3.2M-4.1M | +21% | 72.7 |
| #13 | Alexis Manyoma Colorado Rapids | €1.8M | €1.6M-2.0M | +21% | 72.7 |
| #14 | Alejandro Alvarado San Diego FC | €242K | €213K-271K | +21% | 72.7 |
| #15 | Kenji Cabrera Vancouver Whitecaps FC | €1.9M | €1.7M-2.2M | +21% | 72.7 |
| #16 | Artem Smolyakov Los Angeles FC | €2.2M | €1.9M-2.4M | +21% | 72.7 |
| #17 | Jules-Anthony Vilsaint Toronto FC | €606K | €533K-678K | +21% | 72.7 |
| #18 | Nectarios Triantis Minnesota United FC | €2.4M | €2.1M-2.7M | +21% | 72.7 |
| #19 | Alexis Fariña Minnesota United FC | €1.3M | €1.1M-1.5M | +31% | 69.0 |
| #20 | Maarten Paes FC Dallas | €2.0M | €1.8M-2.2M | +11% | 62.1 |
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: player 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)
Charlotte FC's Brian Romero in the 24-26 age bracket has the highest Age-Share Concentration at +33.4%. That means Taylor Washington captures 98.9% of total market value while representing only 65.5% of players in their age group—showing dominant elite status.
In second is FC Cincinnati's Gilberto Flores with a +33.4% ASC (98.9% value share vs 65.5% player share in 24-26 bracket). Third is Paul Walters of FC Cincinnati with a +33.4% ASC (98.9% value vs 65.5% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +33.4% ASC means the player captures 33.4% 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 | Brian Romero Charlotte FC | 24-26 | 98.9% | 65.5% | +33.4% |
| #2 | Gilberto Flores FC Cincinnati | 24-26 | 98.9% | 65.5% | +33.4% |
| #3 | Paul Walters FC Cincinnati | 24-26 | 98.9% | 65.5% | +33.4% |
| #4 | Omar Valencia New York Red Bulls | 24-26 | 98.9% | 65.5% | +33.4% |
| #5 | Aidan Stokes New York Red Bulls | 24-26 | 98.9% | 65.5% | +33.4% |
| #6 | Rubén Ramos Los Ángeles Galaxy | 24-26 | 98.9% | 65.5% | +33.4% |
| #7 | Caden Glover St. Louis CITY SC | 24-26 | 98.9% | 65.5% | +33.4% |
| #8 | Santiago Morales Inter Miami CF | 24-26 | 98.9% | 65.5% | +33.4% |
| #9 | Davi Alexandre New York Red Bulls | 24-26 | 98.9% | 65.5% | +33.4% |
| #10 | Stiven Jimenez FC Cincinnati | 24-26 | 98.9% | 65.5% | +33.4% |
| #11 | Israel Boatwright Inter Miami CF | 24-26 | 98.9% | 65.5% | +33.4% |
| #12 | Drew Baiera New York City FC | 24-26 | 98.9% | 65.5% | +33.4% |
| #13 | David Vazquez San Diego FC | 24-26 | 98.9% | 65.5% | +33.4% |
| #14 | Adrian Wibowo Los Ángeles FC | 24-26 | 98.9% | 65.5% | +33.4% |
| #15 | Harbor Miller Los Ángeles Galaxy | 24-26 | 98.9% | 65.5% | +33.4% |
| #16 | Alejandro Urzua FC Dallas | 24-26 | 98.9% | 65.5% | +33.4% |
| #17 | Nick Pariano Philadelphia Union | 24-26 | 98.9% | 65.5% | +33.4% |
| #18 | Wayne Frederick Colorado Rapids | 24-26 | 98.9% | 65.5% | +33.4% |
| #19 | Ian Glavinovich Philadelphia Union | 24-26 | 98.9% | 65.5% | +33.4% |
| #20 | Loïc Mesanvi Minnesota United FC | 24-26 | 98.9% | 65.5% | +33.4% |
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: 27 immediate targets, 308 standard acquisitions, 0 watch-list prospects, 76 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 €150.0M. 0 undervalued, 14 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Juan Mina New York Red Bulls | €200K | €75.0M | -1.40 | Good Value |
Alejandro Alvarado San Diego FC | €200K | €75.0M | -1.40 | Good Value |
Brady Scott Los Angeles Galaxy | €125K | €75.0M | -1.12 | Good Value |
Jules-Anthony Vilsaint Toronto FC | €500K | €75.0M | -1.10 | Good Value |
Brian Schwake Nashville SC | €200K | €75.0M | -1.07 | Good Value |
Aidan Stokes New York Red Bulls | €50.0M | €75.0M | -1.00 | Good Value |
Davi Alexandre New York Red Bulls | €50.0M | €75.0M | -1.00 | Good Value |
Israel Boatwright Inter Miami CF | €50.0M | €75.0M | -1.00 | Good Value |
Alejandro Urzua FC Dallas | €50.0M | €75.0M | -1.00 | Good Value |
Nick Pariano Philadelphia Union | €50.0M | €75.0M | -1.00 | Good Value |
Jack Neeley Charlotte FC | €50.0M | €75.0M | -1.00 | Good Value |
Isaiah Jones Nashville SC | €50.0M | €75.0M | -1.00 | Good Value |
Ryan Schewe Sporting Kansas City | €50.0M | €75.0M | -1.00 | Good Value |
Alex Harris Colorado Rapids | €50.0M | €75.0M | -1.00 | Good Value |
Sam Bassett Colorado Rapids | €50.0M | €75.0M | -1.00 | Good Value |
Lionel Messi Inter Miami CF | €18.0M | €75.0M | -1.00 | Good Value |
Carlos Mercado Orlando City SC | €50.0M | €75.0M | -1.00 | Good Value |
Daouda Amadou Colorado Rapids | €50.0M | €75.0M | -1.00 | Good Value |
Adilson Malanda Charlotte FC | €6.0M | €75.0M | -1.00 | Good Value |
Malcolm Fry New England Revolution | €50.0M | €75.0M | -1.00 | Good Value |