Best U23 Young Left-Backs in the MLS
1 players aged 23 or under · ranked by Analytical Strength Index
Best Young Left-Backs in the MLS (Jul 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.
Artem Smolyakov
Los Angeles Football Club • 23 years old
€1.6M
€1.8M
+15.6%
Expected: €1.9M
36.5
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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 Young Left-Backs. Identify undervalued assets and track market momentum across 1 clubs with €1.8M combined value.
Age Distribution: MLS Young Left-Backs
The MLS LB market shows 1 distinct age segments, with the largest cohort in the 21-23 bracket (1 players, 100% of market). The 21-23 age group holds the most value at €1.8M, averaging €1.8M per player.
Top Young Left-Backs by Age Bracket
21-23 Years (1 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Left-Backs (100% of players) control €1.8M
Market Tiers
Market structure shows concentrated value with emerging (<€5m) tier representing 100% of the MLS LB pool.
Emerging (<€5M)
Club Distribution: MLS Young Left-Backs
Among 1 MLS clubs, Los Angeles Football Club leads with 1 Young Left-Backs worth €1.8M (averaging €1.8M per player). The top 10 clubs account for 100% of tracked Young Left-Backs.
Los Angeles Football Club (1 Young Left-Backs)
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)
1 pre-peak player found. PPVE compares market value to age bracket median to identify exceptional value opportunities.
PPVE by Age Bracket
| Rank | Player | Age | Bracket | Current Value | Bracket Median | PPVE |
|---|---|---|---|---|---|---|
| #1 | Artem Smolyakov Los Angeles Football Club | 23 | 21-23 | €1.8M | €1.8M | 1.00× |
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)
Los Angeles Football Club's Artem Smolyakov leads with +25% RPP, projected to appreciate 25% over 3 years to peak.
How RPP is calculated: RPP compares current market value to forecasted peak value. Target players with RPP ≥50% who are 2-3 years from peak for significant value appreciation potential.
Recovery Potential by Player
| Rank | Player | Age | Years to Peak | Current | Peak Forecast | RPP % |
|---|---|---|---|---|---|---|
| #1 | Artem Smolyakov Los Angeles Football Club | 23 | 3 | €1.8M | €2.4M | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Los Angeles Football Club's Artem Smolyakov leads with 27.6 RAU (6% upside vs 0% uncertainty).
How RAU is calculated: RAU = Upside % ÷ Uncertainty %. Higher RAU means better risk-reward. Target RAU ≥2.0 for strong appreciation with manageable risk.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Artem Smolyakov Los Angeles Football Club | €1.9M | €1.7M-2.1M | +6% | 27.6 |
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: young left-back 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)
Los Angeles Football Club's Artem Smolyakov leads with +0.0% ASC (100.0% value share vs 100.0% player share in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. ASC > +15% indicates elite players dominating their age group-marquee signings.
Value Concentration by Player
| Rank | Player | Age Bracket | Value Share | Player Share | ASC |
|---|---|---|---|---|---|
| #1 | Artem Smolyakov Los Angeles Football Club | 21-23 | 100.0% | 100.0% | 0.0% |
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, 1 standard acquisitions, 0 watch-list prospects, 0 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
No players in this category
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 €1.8M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Artem Smolyakov Los Angeles Football Club | €1.8M | €1.8M | 0.00 | Fair Value |
Market Overview: MLS Young Left-Backs 2022-23
Our database tracked 1 MLS Young Left-Backs in the 2022-23 season, representing 1 clubs with a combined market value of €1.8M. The average market value for MLS Young Left-Backs was €1.8M, with the average age at 23 years old.
The most valuable young left-back in the MLS was Artem Smolyakov, worth €1.8M and played for Los Angeles Football Club at 23 years old.
Age distribution showed the youngest tracked young left-back was Artem Smolyakov (23 years, Los Angeles Football Club, €1.8M), while the oldest was Artem Smolyakov (23 years, Los Angeles Football Club, €1.8M). Research shows Young Left-Backs typically peak at age 27.
Historical analysis showed 1 Young Left-Backs (100%) 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 Young Left-Backs remained actively developing with emerging talent in the 2022-23 season.
How We Rank MLS Young Left-Backs
Our Analytical Strength Index is calibrated specifically for young left-backs, 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 LB
Historical Achievement Index (35%)
Peak career market value for MLS young left-backs, 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 young left-backs, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Defenders with 2,500+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Defenders peak at 27 with 5.0%/year decline rate. 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.
LB Performance Benchmarks
Peak Age: 27 years (balance of physicality and tactical intelligence)
Decline Rate: 5.0% per year (moderate decline as positioning offsets pace loss)
Optimal Minutes: 2,500 per season (regular starter with rotation management)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Defender -5.0%/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: ±10% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young left-backs
• 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 Young Left-Backs in the 2022-23 season
Who are the most valuable Young Left-Backs in the MLS in 2022-23?
The most valuable young left-back in the MLS in 2022-23 is Artem Smolyakov, who is worth €1.8M and plays for Los Angeles Football Club.. Our database tracks 1 MLS Young Left-Backs with comprehensive market valuations updated for the 2022-23 season.
How are MLS Young Left-Backs ranked?
MLS Young Left-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Left-Backs. 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 Young Left-Backs peak?
Defenders typically peak at age 27, with a decline rate of 5.0% per year after peak. Research shows defenders balance physical attributes with tactical intelligence, allowing them to maintain high performance through their late 20s. The optimal playing time for peak performance is around 2,500 minutes per season.
How much does it cost to sign a top young left-back from the MLS?
Transfer fees for MLS Young Left-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young left-back Artem Smolyakov (market value: €1.8M), estimated transfer fees would range from €1.4M to €2.5M 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 Young Left-Backs?
Our 1-year forecast model projects market value changes for MLS Young Left-Backs 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-defenders have ±10% 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 young left-back data come from?
Our MLS young left-back 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 2022-23 season to ensure accuracy for recruitment and investment decisions.