Best Players (All Positions) in the MLS (Aug 2026)
Ranked by Analytical Strength Index
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.
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
€19.4M
€15.0M
-22.6%
Expected: €8.0M
71.7
Evander
Football Club Cincinnati • 28 years old
€16.9M
€16.0M
-5.4%
Expected: €13.4M
69.6
Josh Sargent
Toronto FC • 26 years old
€13.8M
€16.0M
+15.6%
Expected: €16.0M
69.1
Rodrigo De Paul
Club Internacional de Fútbol Miami • 32 years old
€18.1M
€14.0M
-22.6%
Expected: €8.0M
68.4
Anders Dreyer
San Diego Football Club • 28 years old
€19.4M
€15.0M
-22.6%
Expected: €12.4M
68.3
Heung-min Son
Los Angeles Football Club • 34 years old
€19.4M
€15.0M
-22.6%
Expected: €8.0M
68.1
Kévin Denkey
Football Club Cincinnati • 25 years old
€10.4M
€12.0M
+15.6%
Expected: €11.9M
66.1
Petar Musa
FC Dallas • 28 years old
€15.5M
€12.0M
-22.6%
Expected: €9.9M
65.5
Riqui Puig
Los Angeles Galaxy • 27 years old
€8.6M
€10.0M
+15.6%
Expected: €9.6M
60.1
Facundo Torres
Austin FC • 26 years old
€8.6M
€10.0M
+15.6%
Expected: €9.6M
59.6
Emmanuel Latte Lath
Atlanta United Football Club • 27 years old
€10.6M
€10.0M
-5.4%
Expected: €8.4M
59.6
Hugo Cuypers
Chicago Fire Soccer Club • 29 years old
€12.9M
€10.0M
-22.6%
Expected: €7.5M
59.6
Martín Ojeda
Orlando City Soccer Club • 27 years old
€7.8M
€9.0M
+15.6%
Expected: €8.6M
58.8
Sebastian Berhalter
Vancouver Whitecaps FC • 25 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
58.2
Diego Luna
Real Salt Lake • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.1M
57.9
Nicolás Fernández Mercau
New York City Football Club • 26 years old
€7.4M
€8.5M
+15.6%
Expected: €8.2M
57.7
Sam Surridge
Nashville SC • 28 years old
€10.3M
€8.0M
-22.6%
Expected: €6.3M
56.9
Aleksey Miranchuk
Atlanta United Football Club • 30 years old
€9.7M
€7.5M
-22.6%
Expected: €5.0M
56.8
Denis Bouanga
Los Angeles Football Club • 31 years old
€10.3M
€8.0M
-22.6%
Expected: €5.3M
56.8
Diego Rossi
Columbus Crew • 28 years old
€9.7M
€7.5M
-22.6%
Expected: €5.9M
56.1
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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 30 clubs with €1.4B 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 (182 players, 24% of market). The 27-29 age group holds the most value at €386.5M, averaging €2.6M per player.
Top Players (All Positions) by Age Bracket
U21 Years (80 players)
21-23 Years (160 players)
24-26 Years (182 players)
27-29 Years (151 players)
Market Value Distribution
Elite Tier Concentration
The top 75 Players (All Positions) (10% of players) control €503.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 1% of the MLS ALL pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: MLS Players (All Positions)
Among 30 MLS clubs, Club Internacional de Fútbol Miami leads with 25 Players (All Positions) worth €81.5M (averaging €3.3M per player). The top 10 clubs account for 34% of tracked Players (All Positions).
Club Internacional de Fútbol Miami (25 Players (All Positions))
Football Club Cincinnati (29 Players (All Positions))
Los Angeles Football Club (22 Players (All Positions))
Vancouver Whitecaps FC (29 Players (All Positions))
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)
Red Bull New York's Julian Hall at 18 years old has the highest Pre-Peak Value Efficiency at 16.00×. That means Julian Hall is valued 16.00× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is Real Salt Lake's Zavier Gozo, who is 19 years old, with a 12.00× PPVE. Third is Mateo Silvetti of Club Internacional de Fútbol Miami, who is 20 years old with a 12.00× 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 16.00× means the player is worth 1500% 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 | Julian Hall Red Bull New York | 18 | U21 | €8.0M | €500K | 16.00× |
| #2 | Zavier Gozo Real Salt Lake | 19 | U21 | €6.0M | €500K | 12.00× |
| #3 | Mateo Silvetti Club Internacional de Fútbol Miami | 20 | U21 | €6.0M | €500K | 12.00× |
| #4 | Kévin Denkey Football Club Cincinnati | 25 | 24-26 | €12.0M | €1.2M | 10.00× |
| #5 | David Martínez Los Angeles Football Club | 20 | U21 | €5.0M | €500K | 10.00× |
| #6 | Peyton Miller New England Revolution | 18 | U21 | €4.5M | €500K | 9.00× |
| #7 | Lucas Herrington Colorado Rapids | 18 | U21 | €4.5M | €500K | 9.00× |
| #8 | Diego Luna Real Salt Lake | 22 | 21-23 | €8.0M | €1.0M | 8.00× |
| #9 | Kaick FC Dallas | 20 | U21 | €3.5M | €500K | 7.00× |
| #10 | Ezekiel Alladoh Philadelphia Union | 20 | U21 | €3.5M | €500K | 7.00× |
| #11 | Mbekezeli Mbokazi Chicago Fire Soccer Club | 20 | U21 | €3.5M | €500K | 7.00× |
| #12 | Sebastian Berhalter Vancouver Whitecaps FC | 25 | 24-26 | €8.0M | €1.2M | 6.67× |
| #13 | Gennadiy Synchuk Club de Foot Montréal | 20 | U21 | €3.0M | €500K | 6.00× |
| #14 | Aiden Hezarkhani Real Salt Lake | 19 | U21 | €3.0M | €500K | 6.00× |
| #15 | Luis Otávio Orlando City Soccer Club | 19 | U21 | €3.0M | €500K | 6.00× |
| #16 | Paxten Aaronson Colorado Rapids | 23 | 21-23 | €6.0M | €1.0M | 6.00× |
| #17 | Telasco Segovia Club Internacional de Fútbol Miami | 23 | 21-23 | €6.0M | €1.0M | 6.00× |
| #18 | Gabriel Pec Los Angeles Galaxy | 25 | 24-26 | €7.0M | €1.2M | 5.83× |
| #19 | Marco Pašalić Orlando City Soccer Club | 25 | 24-26 | €6.5M | €1.2M | 5.42× |
| #20 | Taha Habroune Columbus Crew | 20 | U21 | €2.5M | €500K | 5.00× |
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)
San Diego Football Club's Duran Ferree at 19 years old has the highest Return-to-Peak Potential at +55%. That means Duran Ferree is projected to appreciate 55% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is New England Revolution's Peyton Miller, who is 18 years old, with a +52% RPP (8 years to peak). Third is Lucas Herrington of Colorado Rapids, who is 18 years old with a +52% 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 55% RPP means the player is expected to gain 55% 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 | Duran Ferree San Diego Football Club | 19 | 7 | €1.5M | €3.3M | +55% |
| #2 | Peyton Miller New England Revolution | 18 | 8 | €4.5M | €9.3M | +52% |
| #3 | Lucas Herrington Colorado Rapids | 18 | 8 | €4.5M | €9.3M | +52% |
| #4 | Andrei Chirilă Football Club Cincinnati | 18 | 8 | €500K | €1.0M | +52% |
| #5 | Tristan Brown Columbus Crew | 18 | 8 | €150K | €310K | +52% |
| #6 | Dominik Chong Qui Atlanta United Football Club | 18 | 8 | €150K | €310K | +52% |
| #7 | Ian James Sporting Kansas City | 18 | 8 | €800K | €1.7M | +52% |
| #8 | Matthew Dos Santos Red Bull New York | 18 | 8 | €2.5M | €5.2M | +52% |
| #9 | Andrew Rick Philadelphia Union | 20 | 6 | €300K | €620K | +52% |
| #10 | Adam Beaudry Colorado Rapids | 20 | 6 | €200K | €413K | +52% |
| #11 | Aleksandr Guboglo Club de Foot Montréal | 19 | 7 | €350K | €673K | +48% |
| #12 | Stuart Hawkins Seattle Sounders FC | 19 | 7 | €175K | €336K | +48% |
| #13 | Cooper Sanchez Atlanta United Football Club | 18 | 8 | €1.0M | €1.9M | +48% |
| #14 | Luca Moisa Real Salt Lake | 18 | 8 | €600K | €1.2M | +48% |
| #15 | Cristiano Oliveira New England Revolution | 18 | 8 | €125K | €240K | +48% |
| #16 | Máximo Carrizo New York City Football Club | 18 | 8 | €400K | €769K | +48% |
| #17 | Drew Baiera New York City Football Club | 19 | 7 | €200K | €384K | +48% |
| #18 | Harbor Miller Los Angeles Galaxy | 19 | 7 | €800K | €1.5M | +48% |
| #19 | Christopher Applewhite Nashville SC | 19 | 7 | €150K | €288K | +48% |
| #20 | Finn Sundstrom Philadelphia Union | 19 | 7 | €200K | €384K | +48% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Philadelphia Union's Andrew Rick has the highest Risk-Adjusted Upside at 76.5. That means Andrew Rick has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is San Diego Football Club's Duran Ferree with a 76.5 RAU (16% upside, 0% uncertainty). Third is Adam Beaudry of Colorado Rapids with a 76.5 RAU (16% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 76.5 means the upside is 76.5× 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 | Andrew Rick Philadelphia Union | €349K | €317K-381K | +16% | 76.5 |
| #2 | Duran Ferree San Diego Football Club | €1.7M | €1.6M-1.9M | +16% | 76.5 |
| #3 | Adam Beaudry Colorado Rapids | €233K | €211K-254K | +16% | 76.5 |
| #4 | Peyton Miller New England Revolution | €5.2M | €4.6M-5.8M | +16% | 61.2 |
| #5 | Lucas Herrington Colorado Rapids | €5.2M | €4.6M-5.8M | +16% | 61.2 |
| #6 | Andrei Chirilă Football Club Cincinnati | €582K | €515K-649K | +16% | 61.2 |
| #7 | Tristan Brown Columbus Crew | €175K | €154K-195K | +16% | 61.2 |
| #8 | Dominik Chong Qui Atlanta United Football Club | €175K | €154K-195K | +16% | 61.2 |
| #9 | Ian James Sporting Kansas City | €931K | €824K-1.0M | +16% | 61.2 |
| #10 | Matthew Dos Santos Red Bull New York | €2.9M | €2.6M-3.2M | +16% | 61.2 |
| #11 | Zakaria Taifi Orlando City Soccer Club | €386K | €341K-430K | +10% | 40.4 |
| #12 | Aleksandr Guboglo Club de Foot Montréal | €386K | €341K-430K | +10% | 40.4 |
| #13 | Stuart Hawkins Seattle Sounders FC | €193K | €171K-215K | +10% | 40.4 |
| #14 | Frankie Westfield Philadelphia Union | €1.7M | €1.5M-1.8M | +10% | 40.4 |
| #15 | Luca Bombino San Diego Football Club | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #16 | Osvald Søe San Diego Football Club | €551K | €488K-615K | +10% | 40.4 |
| #17 | Oscar Verhoeven San Diego Football Club | €1.1M | €976K-1.2M | +10% | 40.4 |
| #18 | Lazar Stefanović Toronto FC | €331K | €293K-369K | +10% | 40.4 |
| #19 | Julián Bazán Red Bull New York | €662K | €585K-738K | +10% | 40.4 |
| #20 | Christopher Applewhite Nashville SC | €165K | €146K-184K | +10% | 40.4 |
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 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)
Club de Foot Montréal's Prince Owusu in the 27-29 age bracket has the highest Age-Share Concentration at +7.9%. That means Evander captures 28.1% of total market value while representing only 20.2% of players in their age group-showing dominant elite status.
In second is St. Louis City Soccer Club's Cedric Teuchert with a +7.9% ASC (28.1% value share vs 20.2% player share in 27-29 bracket). Third is Silvan Hefti of D.C. United with a +7.9% ASC (28.1% value vs 20.2% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +7.9% ASC means the player captures 7.9% 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 | Prince Owusu Club de Foot Montréal | 27-29 | 28.1% | 20.2% | +7.9% |
| #2 | Cedric Teuchert St. Louis City Soccer Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #3 | Silvan Hefti D.C. United | 27-29 | 28.1% | 20.2% | +7.9% |
| #4 | Gustav Berggren Red Bull New York | 27-29 | 28.1% | 20.2% | +7.9% |
| #5 | Eduard Löwen St. Louis City Soccer Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #6 | Pep Biel Charlotte Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #7 | Manu García Sporting Kansas City | 27-29 | 28.1% | 20.2% | +7.9% |
| #8 | Rominigue Kouamé Chicago Fire Soccer Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #9 | Ryan Kent Seattle Sounders FC | 27-29 | 28.1% | 20.2% | +7.9% |
| #10 | Sergio Reguilón Club Internacional de Fútbol Miami | 27-29 | 28.1% | 20.2% | +7.9% |
| #11 | Adrián Marín Orlando City Soccer Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #12 | Ezequiel Ponce Houston Dynamo | 27-29 | 28.1% | 20.2% | +7.9% |
| #13 | Randall Leal D.C. United | 27-29 | 28.1% | 20.2% | +7.9% |
| #14 | Timothy Tillman Los Angeles Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #15 | Lewis Morgan San Diego Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #16 | Luca de la Torre Charlotte Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #17 | Diego Rossi Columbus Crew | 27-29 | 28.1% | 20.2% | +7.9% |
| #18 | Tristan Muyumba Atlanta United Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #19 | Hannes Wolf New York City Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
| #20 | Christopher McVey San Diego Football Club | 27-29 | 28.1% | 20.2% | +7.9% |
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: 10 immediate targets, 70 standard acquisitions, 160 watch-list prospects, 280 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
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 €850K. 0 undervalued, 59 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Brian White Vancouver Whitecaps FC | €5.0M | €1.2M | -1.25 | Good Value |
Anders Dreyer San Diego Football Club | €15.0M | €1.2M | -1.00 | Good Value |
Brady Scott Los Angeles Galaxy | €125K | €1.2M | -0.81 | Good Value |
Trey Muse Portland Timbers | €150K | €1.2M | -0.79 | Good Value |
Alec Smir Minnesota United FC | €150K | €1.2M | -0.79 | Good Value |
Mason Stajduhar Real Salt Lake | €175K | €1.2M | -0.78 | Good Value |
Brooks Thompson FC Dallas | €125K | €1.2M | -0.77 | Good Value |
Thomas Hasal Los Angeles Football Club | €200K | €1.2M | -0.76 | Good Value |
Ryan Sailor Seattle Sounders FC | €200K | €1.2M | -0.76 | Good Value |
AJ Marcucci Red Bull New York | €200K | €1.2M | -0.76 | Good Value |
Chris Rindov Los Angeles Galaxy | €150K | €1.2M | -0.75 | Good Value |
Jesús Barea Real Salt Lake | €150K | €1.2M | -0.75 | Good Value |
Nonso Adimabua San Jose Earthquakes | €150K | €1.2M | -0.75 | Good Value |
Christian Koffi Nashville SC | €150K | €1.2M | -0.75 | Good Value |
Tomás Romero New York City Football Club | €150K | €1.2M | -0.75 | Good Value |
Gabriel Segal D.C. United | €150K | €1.2M | -0.75 | Good Value |
Hunter Sulte Portland Timbers | €150K | €1.2M | -0.75 | Good Value |
Hany Mukhtar Nashville SC | €6.0M | €1.2M | -0.75 | Good Value |
Sébastian Breza Club de Foot Montréal | €250K | €1.2M | -0.74 | Good Value |
Yutaro Tsukada Orlando City Soccer Club | €175K | €1.2M | -0.73 | Good Value |
Market Overview: MLS Players (All Positions) 2025-26
Our database tracks 746 MLS Players (All Positions) in the 2025-26 season, representing 30 clubs with a combined market value of €1.4B. The average market value for MLS Players (All Positions) is €1.8M, with the average age at 26 years old.
The most valuable player in the MLS is Lionel Messi, worth €15.0M and playing for Club Internacional de Fútbol Miami at 39 years old. The top 5 Players (All Positions) average €15.2M in market value, including Evander and Josh Sargent.
Age distribution shows the youngest tracked player is Julian Hall (18 years, Red Bull New York, €8.0M), while the oldest is Óscar Ustari (40 years, Club Internacional de Fútbol Miami, €600K). Research shows Players (All Positions) typically peak at age 26.
Our 1-year forecast model projects 306 Players (All Positions) (41%) 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 Players (All Positions) remains highly competitive with significant transfer activity expected in the 2025-26 season.
How We Rank MLS Players (All Positions)
Our Analytical Strength Index is calibrated specifically for players (all positions), 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 ALL
Historical Achievement Index (35%)
Peak career market value for MLS players (all positions), 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 players (all positions), capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 27 with 6.0%/year decline. 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.
ALL Performance Benchmarks
Peak Age: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Compounding and banded around a peak of 27: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• 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: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for players (all positions)
• 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 Players (All Positions) in the 2025-26 season
Who are the most valuable Players (All Positions) in the MLS in 2025-26?
The most valuable player in the MLS in 2025-26 is Lionel Messi, who is worth €15.0M and plays for Club Internacional de Fútbol Miami. The second most valuable is Evander (€16.0M, Football Club Cincinnati), followed by Josh Sargent (€16.0M, Toronto FC). Our database tracks 746 MLS Players (All Positions) with comprehensive market valuations updated for the 2025-26 season.
How are MLS Players (All Positions) ranked?
MLS Players (All Positions) are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Players (All Positions). 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 Players (All Positions) peak?
How much does it cost to sign a top player from the MLS?
Transfer fees for MLS Players (All Positions) vary significantly based on market value, contract length, and club bargaining position. For the top-ranked player Lionel Messi (market value: €15.0M), estimated transfer fees would range from €12.0M to €21.0M 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 Players (All Positions)?
Our 1-year forecast model projects market value changes for MLS Players (All Positions) based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), 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-midfielders have ±12-15% volatility. 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 player data come from?
Our MLS player 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 2025-26 season to ensure accuracy for recruitment and investment decisions.