Best Strikers in the MLS (Oct 2026)
93 players tracked across 31 clubs. Updated October 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.
Josh Sargent
Toronto FC • 26 years old
€13.8M
€16.0M
+15.6%
Expected: €16.0M
69.1
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
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
Nicolás Fernández Mercau
New York City Football Club • 26 years old
€7.4M
€8.5M
+15.6%
57.7
Sam Surridge
Nashville SC • 28 years old
€10.3M
€8.0M
-22.6%
56.9
Diego Rossi
Columbus Crew • 28 years old
€9.7M
€7.5M
-22.6%
56.1
Kelvin Yeboah
Minnesota United FC • 26 years old
€6.1M
€7.0M
+15.6%
55.3
Julian Hall
Red Bull New York • 18 years old
€6.9M
€8.0M
+15.6%
55.2
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Sign up freeJosh Sargent
Toronto FC · 26 years old
69.1
ASI
Current Value
€16.0M
% Change
+15.6%
1yr Forecast Range
€13.1M - €18.8M
Kévin Denkey
Football Club Cincinnati · 25 years old
66.1
ASI
Current Value
€12.0M
% Change
+15.6%
1yr Forecast Range
€9.7M - €14.0M
Petar Musa
FC Dallas · 28 years old
65.5
ASI
Current Value
€12.0M
% Change
-22.6%
1yr Forecast Range
€8.1M - €11.7M
Emmanuel Latte Lath
Atlanta United Football Club · 27 years old
59.6
ASI
Current Value
€10.0M
% Change
-5.4%
1yr Forecast Range
€6.9M - €9.9M
Hugo Cuypers
Chicago Fire Soccer Club · 29 years old
59.6
ASI
Current Value
€10.0M
% Change
-22.6%
1yr Forecast Range
€6.1M - €8.8M
Nicolás Fernández Mercau
New York City Football Club · 26 years old
57.7
ASI
Current Value
€8.5M
% Change
+15.6%
1yr Forecast Range
Sam Surridge
Nashville SC · 28 years old
56.9
ASI
Current Value
€8.0M
% Change
-22.6%
1yr Forecast Range
Diego Rossi
Columbus Crew · 28 years old
56.1
ASI
Current Value
€7.5M
% Change
-22.6%
1yr Forecast Range
Kelvin Yeboah
Minnesota United FC · 26 years old
55.3
ASI
Current Value
€7.0M
% Change
+15.6%
1yr Forecast Range
Julian Hall
Red Bull New York · 18 years old
55.2
ASI
Current Value
€8.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: MLS Strikers (updated October 2026)
Our database tracks 93 MLS Strikers as of October 2026, representing 31 clubs with a combined market value of €244.2M. The average market value for MLS Strikers is €2.6M, with the average age at 26 years old.
The most valuable striker in the MLS is Josh Sargent, worth €16.0M and playing for Toronto FC at 26 years old. The top 5 Strikers average €12.0M in market value, including Kévin Denkey and Petar Musa.
Age distribution shows the youngest tracked striker is Julian Hall (18 years, Red Bull New York, €8.0M), while the oldest is Luis Suárez (39 years, Club Internacional de Fútbol Miami, €1.5M). Research shows Strikers typically peak at age 26.
Our 1-year forecast model projects 44 Strikers (47%) 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 Strikers remains actively developing with emerging talent as of October 2026.
Explore Market Size by Position in MLS
Interactive bubble chart showing predicted 2-year growth vs current age for all MLS Strikers. Identify undervalued assets and track market momentum across 31 clubs with €244.2M combined value.
Age Distribution: MLS Strikers
The MLS ST market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (24 players, 26% of market). The 27-29 age group holds the most value at €98.1M, averaging €5.2M per player.
Top Strikers by Age Bracket
U21 Years (10 players)
21-23 Years (24 players)
24-26 Years (23 players)
27-29 Years (19 players)
Market Value Distribution
Elite Tier Concentration
The top 10 Strikers (11% of players) control €99.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 1% of the MLS ST pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: MLS Strikers
Among 31 MLS clubs, Toronto FC leads with 4 Strikers worth €18.6M (averaging €4.6M per player). The top 10 clubs account for 40% of tracked Strikers.
Toronto FC (4 Strikers)
Columbus Crew (5 Strikers)
Football Club Cincinnati (6 Strikers)
New York City Football Club (4 Strikers)
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 26.67×. That means Julian Hall is valued 26.67× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is Football Club Cincinnati's Kévin Denkey, who is 25 years old, with a 15.00× PPVE. Third is Dor Turgeman of New England Revolution, who is 22 years old with a 6.00× 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 26.67× means the player is worth 2567% 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 | €300K | 26.67x |
| #2 | Kévin Denkey Football Club Cincinnati | 25 | 24-26 | €12.0M | €800K | 15.00x |
| #3 | Dor Turgeman New England Revolution | 22 | 21-23 | €4.5M | €750K | 6.00x |
| #4 | Idan Toklomati Charlotte Football Club | 22 | 21-23 | €4.5M | €750K | 6.00x |
| #5 | Jesús Ferreira Seattle Sounders FC | 25 | 24-26 | €4.5M | €800K | 5.63x |
| #6 | Kevin Kelsy Portland Timbers | 22 | 21-23 | €4.0M | €750K | 5.33x |
| #7 | Ezekiel Alladoh Philadelphia Union | 21 | 21-23 | €3.5M | €750K | 4.67x |
| #8 | Darren Yapi Colorado Rapids | 21 | 21-23 | €2.5M | €750K | 3.33x |
| #9 | Rayan Elloumi Vancouver Whitecaps FC | 19 | U21 | €800K | €300K | 2.67x |
| #10 | Sergi Solans Real Salt Lake | 23 | 21-23 | €2.0M | €750K | 2.67x |
| #11 | Matheus Nascimento Los Angeles Galaxy | 22 | 21-23 | €2.0M | €750K | 2.67x |
| #12 | Nariman Akhundzada Columbus Crew | 22 | 21-23 | €2.0M | €750K | 2.67x |
| #13 | Nathan Ordaz Los Angeles Football Club | 22 | 21-23 | €2.0M | €750K | 2.67x |
| #14 | Duncan McGuire Orlando City Soccer Club | 25 | 24-26 | €2.0M | €800K | 2.50x |
| #15 | Bruno Damiani Philadelphia Union | 24 | 24-26 | €2.0M | €800K | 2.50x |
| #16 | Logan Farrington FC Dallas | 24 | 24-26 | €2.0M | €800K | 2.50x |
| #17 | Sang-bin Jeong St. Louis City Soccer Club | 24 | 24-26 | €1.5M | €800K | 1.88x |
| #18 | Justin Ellis Orlando City Soccer Club | 19 | U21 | €500K | €300K | 1.67x |
| #19 | Emilio Aristizábal Toronto FC | 21 | 21-23 | €1.2M | €750K | 1.60x |
| #20 | Seymour Reid New York City Football Club | 18 | U21 | €400K | €300K | 1.33x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Unlock Return-to-Peak analysis for MLS Strikers.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for MLS Strikers.
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
Unlock Roster Pressure Index for MLS Strikers.
Upgrade to FanAge-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Unlock Age-Share Concentration for MLS Strikers.
Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
Unlock the Buy Map for MLS Strikers.
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
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How We Rank MLS Strikers
Our Analytical Strength Index is calibrated specifically for strikers, 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 ST
Historical Achievement Index (35%)
Peak career market value for MLS strikers, 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 strikers, 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.
ST Performance Benchmarks
Peak Age: 26 years (peak pace and finishing efficiency)
Decline Rate: Widening steps, not a flat rate: about -5% at 27, -10% at 28, steeper from 29 (earliest onset, 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: Compounding and banded around a peak of 26: +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: ±18% confidence interval (most volatile, form-dependent)
Research Foundation
• Dendir (2016): Age-performance curves for strikers
• 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 Strikers, updated October 2026
Who are the most valuable Strikers in the MLS right now?
The most valuable striker in the MLS today is Josh Sargent, who is worth €16.0M and plays for Toronto FC. The second most valuable is Kévin Denkey (€12.0M, Football Club Cincinnati), followed by Petar Musa (€12.0M, FC Dallas). Our database tracks 93 MLS Strikers with comprehensive market valuations updated in October 2026.
How are MLS Strikers ranked?
MLS Strikers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Strikers. 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 Strikers peak?
Attackers peak earliest, typically at age 26. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 27, -10% at 28, and -15% or more from 29. 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 striker from the MLS?
Transfer fees for MLS Strikers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked striker Josh Sargent (market value: €16.0M), estimated transfer fees would range from €12.8M to €22.4M 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 Strikers?
Our 1-year forecast model projects market value changes for MLS Strikers 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-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 striker data come from?
Our MLS striker 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 (last update October 2026) to ensure accuracy for recruitment and investment decisions.
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