Best Left-Backs in the MLS (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: MLS Left-Backs 2022-23
Our database tracked 17 MLS Left-Backs in the 2022-23 season, representing 12 clubs with a combined market value of €43.8M. The average market value for MLS Left-Backs was €2.6M, with the average age at 29 years old.
The most valuable left-back in the MLS was Sergio Reguilón, worth €12.0M and played for Club Internacional de Fútbol Miami at 29 years old. The top 5 Left-Backs averaged €5.5M in market value, including Juan Manuel Sanabria and Jordi Alba.
Age distribution showed the youngest tracked left-back was Artem Smolyakov (23 years, Los Angeles Football Club, €1.8M), while the oldest was Jordi Alba (37 years, Club Internacional de Fútbol Miami, €4.0M). Research shows Left-Backs typically peak at age 27.
Historical analysis showed 6 Left-Backs (35%) 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 Left-Backs remained actively developing with emerging talent in the 2022-23 season.
Explore Market Size by Position in MLS
Interactive bubble chart showing predicted 2-year growth vs current age for all MLS Left-Backs. Identify undervalued assets and track market momentum across 12 clubs with €43.8M 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 Left-Backs
The MLS LB market shows 4 distinct age segments, with the largest cohort in the 27-29 bracket (7 players, 41% of market). The 27-29 age group holds the most value at €20.3M, averaging €2.9M per player.
Top Left-Backs by Age Bracket
21-23 Years (1 players)
24-26 Years (3 players)
27-29 Years (7 players)
30+ Years (6 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Left-Backs (12% of players) control €19.0M
Market Tiers
Market structure shows distributed value with mid (€5-15m) tier representing 12% of the MLS LB pool.
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: MLS Left-Backs
Among 12 MLS clubs, Club Internacional de Fútbol Miami leads with 2 Left-Backs worth €16.0M (averaging €8.0M per player). The top 10 clubs account for 88% of tracked Left-Backs.
Club Internacional de Fútbol Miami (2 Left-Backs)
Real Salt Lake (3 Left-Backs)
Charlotte Football Club (2 Left-Backs)
Sporting Kansas City (2 Left-Backs)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Sergio Reguilón
Club Internacional de Fútbol Miami • 29 years old
€15.5M
€12.0M
-22.6%
Expected: €10.6M
67.2
Juan Manuel Sanabria
Real Salt Lake • 26 years old
€6.1M
€7.0M
+15.6%
Expected: €6.8M
56.7
Jordi Alba
Club Internacional de Fútbol Miami • 37 years old
€5.2M
€4.0M
-22.6%
Expected: €3.5M
51.6
Matheus Pereira
Toronto FC • 25 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.6
Lukas Engel
Real Salt Lake • 27 years old
€1.9M
€2.2M
+15.6%
Expected: €2.3M
38.0
Harry Toffolo
Charlotte Football Club • 30 years old
€2.6M
€2.0M
-22.6%
Expected: €1.7M
37.5
Logan Ndenbe
Sporting Kansas City • 26 years old
€1.7M
€2.0M
+15.6%
Expected: €2.0M
37.3
Artem Smolyakov
Los Angeles Football Club • 23 years old
€1.6M
€1.8M
+15.6%
Expected: €1.9M
36.5
Sam Adekugbe
Vancouver Whitecaps FC • 31 years old
€2.3M
€1.8M
-22.6%
Expected: €1.5M
36.4
David Schnegg
Charlotte Football Club • 27 years old
€1.6M
€1.8M
+15.6%
Expected: €1.9M
35.4
Adrián Marín
Orlando City Soccer Club • 29 years old
€1.9M
€1.5M
-22.6%
Expected: €1.3M
33.6
Sam Vines
Houston Dynamo • 27 years old
€1.3M
€1.5M
+15.6%
Expected: €1.5M
33.1
Tim Leibold
Sporting Kansas City • 32 years old
€1.3M
€1.0M
-22.6%
Expected: €838K
29.2
Brad Smith
Football Club Cincinnati • 32 years old
€1.1M
€850K
-22.6%
Expected: €712K
27.1
Pedro Amador
Atlanta United Football Club • 27 years old
€605K
€700K
+15.6%
Expected: €721K
23.5
Alexandros Katranis
Real Salt Lake • 28 years old
€687K
€650K
-5.4%
Expected: €575K
22.8
Vítor Costa
San Jose Earthquakes • 32 years old
€646K
€500K
-22.6%
Expected: €419K
20.4
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)
2 pre-peak players 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 | Matheus Pereira Toronto FC | 25 | 24-26 | €2.5M | €2.5M | 1.00× |
| #2 | 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% |
| #2 | Matheus Pereira Toronto FC | 25 | 1 | €2.5M | €2.9M | +14% |
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 has the highest Risk-Adjusted Upside at 27.6. That means Artem Smolyakov has 6% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Atlanta United Football Club's Pedro Amador with a 14.4 RAU (3% upside, 0% uncertainty). Third is Lukas Engel of Real Salt Lake with a 14.4 RAU (3% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 27.6 means the upside is 27.6× 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 | Artem Smolyakov Los Angeles Football Club | €1.9M | €1.7M-2.1M | +6% | 27.6 |
| #2 | Pedro Amador Atlanta United Football Club | €721K | €649K-793K | +3% | 14.4 |
| #3 | Lukas Engel Real Salt Lake | €2.3M | €2.0M-2.5M | +3% | 14.4 |
| #4 | Sam Vines Houston Dynamo | €1.5M | €1.4M-1.7M | +3% | 14.4 |
| #5 | David Schnegg Charlotte Football Club | €1.9M | €1.7M-2.0M | +3% | 14.4 |
| #6 | Matheus Pereira Toronto FC | €2.6M | €2.3M-2.8M | +2% | 11.8 |
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: 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)
Football Club Cincinnati's Brad Smith in the 30+ age bracket has the highest Age-Share Concentration at +-12.1%. That means Jordi Alba captures 23.2% of total market value while representing only 35.3% of players in their age group-showing dominant elite status.
In second is Sporting Kansas City's Tim Leibold with a +-12.1% ASC (23.2% value share vs 35.3% player share in 30+ bracket). Third is Harry Toffolo of Charlotte Football Club with a +-12.1% ASC (23.2% value vs 35.3% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-12.1% ASC means the player captures -12.1% 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 | Brad Smith Football Club Cincinnati | 30+ | 23.2% | 35.3% | -12.1% |
| #2 | Tim Leibold Sporting Kansas City | 30+ | 23.2% | 35.3% | -12.1% |
| #3 | Harry Toffolo Charlotte Football Club | 30+ | 23.2% | 35.3% | -12.1% |
| #4 | Sam Adekugbe Vancouver Whitecaps FC | 30+ | 23.2% | 35.3% | -12.1% |
| #5 | Vítor Costa San Jose Earthquakes | 30+ | 23.2% | 35.3% | -12.1% |
| #6 | Jordi Alba Club Internacional de Fútbol Miami | 30+ | 23.2% | 35.3% | -12.1% |
| #7 | Juan Manuel Sanabria Real Salt Lake | 24-26 | 26.3% | 17.6% | +8.6% |
| #8 | Logan Ndenbe Sporting Kansas City | 24-26 | 26.3% | 17.6% | +8.6% |
| #9 | Matheus Pereira Toronto FC | 24-26 | 26.3% | 17.6% | +8.6% |
| #10 | Sergio Reguilón Club Internacional de Fútbol Miami | 27-29 | 46.5% | 41.2% | +5.3% |
| #11 | Adrián Marín Orlando City Soccer Club | 27-29 | 46.5% | 41.2% | +5.3% |
| #12 | Alexandros Katranis Real Salt Lake | 27-29 | 46.5% | 41.2% | +5.3% |
| #13 | David Schnegg Charlotte Football Club | 27-29 | 46.5% | 41.2% | +5.3% |
| #14 | Lukas Engel Real Salt Lake | 27-29 | 46.5% | 41.2% | +5.3% |
| #15 | Sam Vines Houston Dynamo | 27-29 | 46.5% | 41.2% | +5.3% |
| #16 | Pedro Amador Atlanta United Football Club | 27-29 | 46.5% | 41.2% | +5.3% |
| #17 | Artem Smolyakov Los Angeles Football Club | 21-23 | 4.1% | 5.9% | -1.8% |
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, 8 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 €12.0M. 0 undervalued, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Vítor Costa San Jose Earthquakes | €500K | €1.8M | -1.13 | Good Value |
Logan Ndenbe Sporting Kansas City | €2.0M | €1.8M | -1.00 | Good Value |
Brad Smith Football Club Cincinnati | €850K | €1.8M | -0.83 | Good Value |
Alexandros Katranis Real Salt Lake | €650K | €1.8M | -0.77 | Good Value |
Pedro Amador Atlanta United Football Club | €700K | €1.8M | -0.73 | Good Value |
Tim Leibold Sporting Kansas City | €1.0M | €1.8M | -0.70 | Good Value |
Sergio Reguilón Club Internacional de Fútbol Miami | €12.0M | €1.8M | 0.00 | Fair Value |
Sam Adekugbe Vancouver Whitecaps FC | €1.8M | €1.8M | 0.00 | Fair Value |
Adrián Marín Orlando City Soccer Club | €1.5M | €1.8M | 0.00 | Fair Value |
Juan Manuel Sanabria Real Salt Lake | €7.0M | €1.8M | 0.00 | Fair Value |
Sam Vines Houston Dynamo | €1.5M | €1.8M | 0.00 | Fair Value |
Matheus Pereira Toronto FC | €2.5M | €1.8M | 0.00 | Fair Value |
Artem Smolyakov Los Angeles Football Club | €1.8M | €1.8M | 0.00 | Fair Value |
Harry Toffolo Charlotte Football Club | €2.0M | €1.8M | +0.17 | Fair Value |
David Schnegg Charlotte Football Club | €1.8M | €1.8M | +0.27 | Fair Value |
Lukas Engel Real Salt Lake | €2.2M | €1.8M | +0.64 | Above Market |
Jordi Alba Club Internacional de Fútbol Miami | €4.0M | €1.8M | +1.91 | Premium |
How We Rank MLS Left-Backs
Our Analytical Strength Index is calibrated specifically for 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 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 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 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 Left-Backs in the 2022-23 season
Who are the most valuable Left-Backs in the MLS in 2022-23?
The most valuable left-back in the MLS in 2022-23 is Sergio Reguilón, who is worth €12.0M and plays for Club Internacional de Fútbol Miami. The second most valuable is Juan Manuel Sanabria (€7.0M, Real Salt Lake), followed by Jordi Alba (€4.0M, Club Internacional de Fútbol Miami). Our database tracks 17 MLS Left-Backs with comprehensive market valuations updated for the 2022-23 season.
How are MLS Left-Backs ranked?
MLS Left-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for 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 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 left-back from the MLS?
Transfer fees for MLS Left-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked left-back Sergio Reguilón (market value: €12.0M), estimated transfer fees would range from €9.6M to €16.8M 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 Left-Backs?
Our 1-year forecast model projects market value changes for MLS 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 left-back data come from?
Our MLS 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.