Best Strikers in the MLS (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: MLS Strikers 2023-24
Our database tracked 29 MLS Strikers in the 2023-24 season, representing 24 clubs with a combined market value of €118.0M. The average market value for MLS Strikers was €4.1M, with the average age at 29 years old.
The most valuable striker in the MLS was Kévin Denkey, worth €14.0M and played for Football Club Cincinnati at 25 years old. The top 5 Strikers averaged €10.2M in market value, including Josh Sargent and Hugo Cuypers.
Age distribution showed the youngest tracked striker was Kevin Kelsy (21 years, Portland Timbers, €2.5M), while the oldest was Luis Suárez (39 years, Club Internacional de Fútbol Miami, €4.0M). Research shows Strikers typically peak at age 26.
Historical analysis showed 9 Strikers (31%) 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 Strikers remained actively developing with emerging talent in the 2023-24 season.
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 24 clubs with €118.0M 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 Strikers
The MLS ST market shows 4 distinct age segments, with the largest cohort in the 27-29 bracket (10 players, 34% of market). The 27-29 age group holds the most value at €49.5M, averaging €5.0M per player.
Top Strikers by Age Bracket
21-23 Years (3 players)
24-26 Years (7 players)
27-29 Years (10 players)
30+ Years (9 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Strikers (10% of players) control €36.0M
Market Tiers
Market structure shows distributed value with mid (€5-15m) tier representing 31% of the MLS ST pool.
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: MLS Strikers
Among 24 MLS clubs, Football Club Cincinnati leads with 1 Strikers worth €14.0M (averaging €14.0M per player). The top 10 clubs account for 48% of tracked Strikers.
Football Club Cincinnati (1 Strikers)
Toronto FC (1 Strikers)
Chicago Fire Soccer Club (1 Strikers)
Columbus Crew (3 Strikers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Kévin Denkey
Football Club Cincinnati • 25 years old
€12.1M
€14.0M
+15.6%
Expected: €14.2M
67.9
Josh Sargent
Toronto FC • 26 years old
€10.4M
€12.0M
+15.6%
Expected: €12.9M
65.6
Hugo Cuypers
Chicago Fire Soccer Club • 29 years old
€12.9M
€10.0M
-22.6%
Expected: €8.2M
59.6
Petar Musa
FC Dallas • 28 years old
€10.3M
€8.0M
-22.6%
Expected: €6.9M
56.9
Diego Rossi
Columbus Crew • 28 years old
€9.0M
€7.0M
-22.6%
Expected: €6.1M
55.2
Marcus Ingvartsen
San Diego Football Club • 30 years old
€8.4M
€6.5M
-22.6%
Expected: €5.3M
54.3
Sam Surridge
Nashville SC • 27 years old
€5.8M
€5.5M
-5.4%
Expected: €4.8M
52.3
Thomas Müller
Vancouver Whitecaps FC • 36 years old
€6.5M
€5.0M
-22.6%
Expected: €4.3M
52.1
Luis Suárez
Club Internacional de Fútbol Miami • 39 years old
€5.2M
€4.0M
-22.6%
Expected: €3.5M
51.8
Ezequiel Ponce
Houston Dynamo • 29 years old
€6.5M
€5.0M
-22.6%
Expected: €4.1M
51.1
Emmanuel Latte Lath
Atlanta United Football Club • 27 years old
€4.8M
€4.5M
-5.4%
Expected: €3.9M
49.9
Kelvin Yeboah
Minnesota United FC • 26 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
48.5
João Klauss
Los Angeles Galaxy • 29 years old
€5.2M
€4.0M
-22.6%
Expected: €3.3M
48.4
Jonathan Rodríguez
Portland Timbers • 33 years old
€5.2M
€4.0M
-22.6%
Expected: €3.5M
48.3
Leonardo Campana
New England Revolution • 25 years old
€3.0M
€3.5M
+15.6%
Expected: €3.4M
47.3
Dejan Joveljić
Sporting Kansas City • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
46.9
Giacomo Vrioni
Club de Foot Montréal • 27 years old
€3.2M
€3.0M
-5.4%
Expected: €2.6M
41.2
Eric-Maxim Choupo-Moting
Red Bull New York • 37 years old
€3.2M
€2.5M
-22.6%
Expected: €2.2M
40.8
Kevin Kelsy
Portland Timbers • 21 years old
€2.2M
€2.5M
+15.6%
Expected: €2.8M
40.0
Christian Benteke
D.C. United • 35 years old
€3.2M
€2.5M
-22.6%
Expected: €2.2M
39.1
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)
Portland Timbers's Kevin Kelsy at 21 years old has the highest Pre-Peak Value Efficiency at 12.50×. That means Kevin Kelsy is valued 12.50× higher than the median player in the 21-23 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 4.00× PPVE. Third is Markus Anderson of Philadelphia Union, who is 22 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 12.50× means the player is worth 1150% 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 | Kevin Kelsy Portland Timbers | 21 | 21-23 | €2.5M | €200K | 12.50× |
| #2 | Kévin Denkey Football Club Cincinnati | 25 | 24-26 | €14.0M | €3.5M | 4.00× |
| #3 | Markus Anderson Philadelphia Union | 22 | 21-23 | €200K | €200K | 1.00× |
| #4 | Leonardo Campana New England Revolution | 25 | 24-26 | €3.5M | €3.5M | 1.00× |
| #5 | Nelson Pierre Vancouver Whitecaps FC | 21 | 21-23 | €200K | €200K | 1.00× |
| #6 | Osaze De Rosario Seattle Sounders FC | 24 | 24-26 | €250K | €3.5M | 0.07× |
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)
Portland Timbers's Kevin Kelsy at 21 years old has the highest Return-to-Peak Potential at +30%. That means Kevin Kelsy is projected to appreciate 30% as they reach their peak age in 5 years-representing significant upside before entering their prime.
In second is Vancouver Whitecaps FC's Nelson Pierre, who is 21 years old, with a +30% RPP (5 years to peak). Third is Markus Anderson of Philadelphia Union, who is 22 years old with a +25% RPP (4 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 30% RPP means the player is expected to gain 30% 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 | Kevin Kelsy Portland Timbers | 21 | 5 | €2.5M | €3.6M | +30% |
| #2 | Nelson Pierre Vancouver Whitecaps FC | 21 | 5 | €200K | €287K | +30% |
| #3 | Markus Anderson Philadelphia Union | 22 | 4 | €200K | €267K | +25% |
| #4 | Osaze De Rosario Seattle Sounders FC | 24 | 2 | €250K | €289K | +14% |
| #5 | Kévin Denkey Football Club Cincinnati | 25 | 1 | €14.0M | €15.1M | +7% |
| #6 | Leonardo Campana New England Revolution | 25 | 1 | €3.5M | €3.8M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Vancouver Whitecaps FC's Nelson Pierre has the highest Risk-Adjusted Upside at 33.7. That means Nelson Pierre has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Philadelphia Union's Markus Anderson with a 23.0 RAU (6% upside, 0% uncertainty). Third is Kevin Kelsy of Portland Timbers with a 22.5 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 33.7 means the upside is 33.7× 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 | Nelson Pierre Vancouver Whitecaps FC | €221K | €190K-251K | +10% | 33.7 |
| #2 | Markus Anderson Philadelphia Union | €212K | €186K-237K | +6% | 23.0 |
| #3 | Kevin Kelsy Portland Timbers | €2.8M | €2.2M-3.3M | +10% | 22.5 |
| #4 | Josh Sargent Toronto FC | €12.9M | €10.5M-15.2M | +7% | 18.6 |
| #5 | Dejan Joveljić Sporting Kansas City | €3.6M | €3.0M-4.3M | +3% | 8.0 |
| #6 | Kelvin Yeboah Minnesota United FC | €4.1M | €3.4M-4.9M | +3% | 8.0 |
| #7 | Nicolás Fernández Mercau New York City Football Club | €2.1M | €1.7M-2.4M | +3% | 8.0 |
| #8 | Osaze De Rosario Seattle Sounders FC | €256K | €210K-302K | +2% | 6.5 |
| #9 | Kévin Denkey Football Club Cincinnati | €14.2M | €11.7M-16.8M | +2% | 4.8 |
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: striker 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)
Sporting Kansas City's Dejan Joveljić in the 24-26 age bracket has the highest Age-Share Concentration at +9.1%. That means Kévin Denkey captures 33.2% of total market value while representing only 24.1% of players in their age group-showing dominant elite status.
In second is Toronto FC's Josh Sargent with a +9.1% ASC (33.2% value share vs 24.1% player share in 24-26 bracket). Third is Kévin Denkey of Football Club Cincinnati with a +9.1% ASC (33.2% value vs 24.1% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +9.1% ASC means the player captures 9.1% 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 | Dejan Joveljić Sporting Kansas City | 24-26 | 33.2% | 24.1% | +9.1% |
| #2 | Josh Sargent Toronto FC | 24-26 | 33.2% | 24.1% | +9.1% |
| #3 | Kévin Denkey Football Club Cincinnati | 24-26 | 33.2% | 24.1% | +9.1% |
| #4 | Kelvin Yeboah Minnesota United FC | 24-26 | 33.2% | 24.1% | +9.1% |
| #5 | Leonardo Campana New England Revolution | 24-26 | 33.2% | 24.1% | +9.1% |
| #6 | Osaze De Rosario Seattle Sounders FC | 24-26 | 33.2% | 24.1% | +9.1% |
| #7 | Nicolás Fernández Mercau New York City Football Club | 24-26 | 33.2% | 24.1% | +9.1% |
| #8 | Christian Ramirez Austin FC | 30+ | 22.4% | 31.0% | -8.7% |
| #9 | Jamal Thiaré Columbus Crew | 30+ | 22.4% | 31.0% | -8.7% |
| #10 | Marcus Ingvartsen San Diego Football Club | 30+ | 22.4% | 31.0% | -8.7% |
| #11 | Jonathan Rodríguez Portland Timbers | 30+ | 22.4% | 31.0% | -8.7% |
| #12 | Khiry Shelton Sporting Kansas City | 30+ | 22.4% | 31.0% | -8.7% |
| #13 | Luis Suárez Club Internacional de Fútbol Miami | 30+ | 22.4% | 31.0% | -8.7% |
| #14 | Eric-Maxim Choupo-Moting Red Bull New York | 30+ | 22.4% | 31.0% | -8.7% |
| #15 | Christian Benteke D.C. United | 30+ | 22.4% | 31.0% | -8.7% |
| #16 | Thomas Müller Vancouver Whitecaps FC | 30+ | 22.4% | 31.0% | -8.7% |
| #17 | Markus Anderson Philadelphia Union | 21-23 | 2.5% | 10.3% | -7.9% |
| #18 | Kevin Kelsy Portland Timbers | 21-23 | 2.5% | 10.3% | -7.9% |
| #19 | Nelson Pierre Vancouver Whitecaps FC | 21-23 | 2.5% | 10.3% | -7.9% |
| #20 | Cedric Teuchert St. Louis City Soccer Club | 27-29 | 41.9% | 34.5% | +7.4% |
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: 0 immediate targets, 3 standard acquisitions, 0 watch-list prospects, 13 at peak.
BUY NOW - High Upside
No players in this category
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 €14.0M. 1 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Osaze De Rosario Seattle Sounders FC | €250K | €3.5M | -2.17 | Undervalued |
Wessam Abou Ali Columbus Crew | €500K | €3.5M | -1.25 | Good Value |
Josh Sargent Toronto FC | €12.0M | €3.5M | -1.00 | Good Value |
Thomas Müller Vancouver Whitecaps FC | €5.0M | €3.5M | -1.00 | Good Value |
Nicolás Fernández Mercau New York City Football Club | €2.0M | €3.5M | -1.00 | Good Value |
Ezequiel Ponce Houston Dynamo | €5.0M | €3.5M | -0.80 | Good Value |
Sam Surridge Nashville SC | €5.5M | €3.5M | -0.60 | Good Value |
Christian Ramirez Austin FC | €600K | €3.5M | -0.56 | Good Value |
Jamal Thiaré Columbus Crew | €600K | €3.5M | -0.56 | Good Value |
Khiry Shelton Sporting Kansas City | €700K | €3.5M | -0.53 | Good Value |
Cedric Teuchert St. Louis City Soccer Club | €2.0M | €3.5M | -0.50 | Fair Value |
Markus Anderson Philadelphia Union | €200K | €3.5M | 0.00 | Fair Value |
Marcus Ingvartsen San Diego Football Club | €6.5M | €3.5M | 0.00 | Fair Value |
Diego Rossi Columbus Crew | €7.0M | €3.5M | 0.00 | Fair Value |
Dejan Joveljić Sporting Kansas City | €3.5M | €3.5M | 0.00 | Fair Value |
Giacomo Vrioni Club de Foot Montréal | €3.0M | €3.5M | 0.00 | Fair Value |
Eric-Maxim Choupo-Moting Red Bull New York | €2.5M | €3.5M | 0.00 | Fair Value |
Kévin Denkey Football Club Cincinnati | €14.0M | €3.5M | 0.00 | Fair Value |
Christian Benteke D.C. United | €2.5M | €3.5M | 0.00 | Fair Value |
Leonardo Campana New England Revolution | €3.5M | €3.5M | 0.00 | Fair Value |
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: 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 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 in the 2023-24 season
Who are the most valuable Strikers in the MLS in 2023-24?
The most valuable striker in the MLS in 2023-24 is Kévin Denkey, who is worth €14.0M and plays for Football Club Cincinnati. The second most valuable is Josh Sargent (€12.0M, Toronto FC), followed by Hugo Cuypers (€10.0M, Chicago Fire Soccer Club). Our database tracks 29 MLS Strikers with comprehensive market valuations updated for the 2023-24 season.
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 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 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 Kévin Denkey (market value: €14.0M), estimated transfer fees would range from €11.2M to €19.6M 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 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 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 for the 2023-24 season to ensure accuracy for recruitment and investment decisions.