Best Goalkeepers in the MLS (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: MLS Goalkeepers 2022-23
Our database tracked 13 MLS Goalkeepers in the 2022-23 season, representing 13 clubs with a combined market value of €17.8M. The average market value for MLS Goalkeepers was €1.4M, with the average age at 31 years old.
The most valuable goalkeeper in the MLS was Matt Turner, worth €7.0M and played for New England Revolution at 32 years old. The top 5 Goalkeepers averaged €2.9M in market value, including Roman Bürki and Zack Steffen.
Age distribution showed the youngest tracked goalkeeper was Duran Ferree (19 years, San Diego Football Club, €150K), while the oldest was Óscar Ustari (40 years, Club Internacional de Fútbol Miami, €600K). Research shows Goalkeepers typically peak at age 29.
Historical analysis showed 4 Goalkeepers (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 Goalkeepers 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 Goalkeepers. Identify undervalued assets and track market momentum across 13 clubs with €17.8M 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 Goalkeepers
The MLS GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (8 players, 62% of market). The 30+ age group holds the most value at €16.4M, averaging €2.1M per player.
Top Goalkeepers by Age Bracket
U21 Years (1 players)
21-23 Years (1 players)
24-26 Years (1 players)
27-29 Years (2 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Goalkeepers (15% of players) control €9.5M
Market Tiers
Market structure shows distributed value with mid (€5-15m) tier representing 8% of the MLS GK pool.
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: MLS Goalkeepers
Among 13 MLS clubs, New England Revolution leads with 1 Goalkeepers worth €7.0M (averaging €7.0M per player). The top 10 clubs account for 77% of tracked Goalkeepers.
New England Revolution (1 Goalkeepers)
St. Louis City Soccer Club (1 Goalkeepers)
Colorado Rapids (1 Goalkeepers)
Red Bull New York (1 Goalkeepers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Matt Turner
New England Revolution • 32 years old
€9.0M
€7.0M
-22.6%
Expected: €6.0M
57.5
Roman Bürki
St. Louis City Soccer Club • 35 years old
€3.2M
€2.5M
-22.6%
Expected: €2.2M
42.1
Zack Steffen
Colorado Rapids • 31 years old
€2.6M
€2.0M
-22.6%
Expected: €1.8M
37.5
Ethan Horvath
Red Bull New York • 31 years old
€2.3M
€1.8M
-22.6%
Expected: €1.6M
36.1
Hugo Lloris
Los Angeles Football Club • 39 years old
€1.5M
€1.2M
-22.6%
Expected: €1.1M
34.4
Jonathan Bond
Houston Dynamo • 33 years old
€1.0M
€800K
-22.6%
Expected: €681K
26.5
Óscar Ustari
Club Internacional de Fútbol Miami • 40 years old
€775K
€600K
-22.6%
Expected: €539K
25.9
Rafael Cabral
Real Salt Lake • 36 years old
€710K
€550K
-22.6%
Expected: €494K
23.0
Sébastian Breza
Club de Foot Montréal • 28 years old
€519K
€600K
+15.6%
Expected: €587K
21.5
Brian Schwake
Nashville SC • 24 years old
€216K
€250K
+15.6%
Expected: €276K
10.8
Fabian Mrozek
Football Club Cincinnati • 22 years old
€173K
€200K
+15.6%
Expected: €238K
7.5
Duran Ferree
San Diego Football Club • 19 years old
€130K
€150K
+15.6%
Expected: €209K
3.2
Brady Scott
Los Angeles Galaxy • 27 years old
€108K
€125K
+15.6%
Expected: €128K
1.7
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)
Football Club Cincinnati's Fabian Mrozek at 22 years old has the highest Pre-Peak Value Efficiency at 1.00×. That means Brian Schwake is valued 1.00× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Nashville SC's Brian Schwake, who is 24 years old, with a 1.00× PPVE. Third is Duran Ferree of San Diego Football Club, who is 19 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 1.00× means the player is worth 0% 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 | Fabian Mrozek Football Club Cincinnati | 22 | 21-23 | €200K | €200K | 1.00× |
| #2 | Brian Schwake Nashville SC | 24 | 24-26 | €250K | €250K | 1.00× |
| #3 | Duran Ferree San Diego Football Club | 19 | U21 | €150K | €150K | 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)
San Diego Football Club's Duran Ferree at 19 years old has the highest Return-to-Peak Potential at +52%. That means Duran Ferree is projected to appreciate 52% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Football Club Cincinnati's Fabian Mrozek, who is 22 years old, with a +40% RPP (4 years to peak). Third is Brian Schwake of Nashville SC, who is 24 years old with a +30% RPP (2 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 52% RPP means the player is expected to gain 52% 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 | €150K | €310K | +52% |
| #2 | Fabian Mrozek Football Club Cincinnati | 22 | 4 | €200K | €332K | +40% |
| #3 | Brian Schwake Nashville SC | 24 | 2 | €250K | €359K | +30% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
San Diego Football Club's Duran Ferree has the highest Risk-Adjusted Upside at 154.3. That means Duran Ferree has 40% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Football Club Cincinnati's Fabian Mrozek with a 100.1 RAU (19% upside, 0% uncertainty). Third is Brian Schwake of Nashville SC with a 58.1 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 154.3 means the upside is 154.3× 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 | Duran Ferree San Diego Football Club | €209K | €190K-229K | +40% | 154.3 |
| #2 | Fabian Mrozek Football Club Cincinnati | €238K | €219K-257K | +19% | 100.1 |
| #3 | Brian Schwake Nashville SC | €276K | €254K-298K | +10% | 58.1 |
| #4 | Brady Scott Los Angeles Galaxy | €128K | €118K-138K | +2% | 14.7 |
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: goalkeeper 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)
Real Salt Lake's Rafael Cabral in the 30+ age bracket has the highest Age-Share Concentration at +31.0%. That means Matt Turner captures 92.5% of total market value while representing only 61.5% of players in their age group-showing dominant elite status.
In second is Houston Dynamo's Jonathan Bond with a +31.0% ASC (92.5% value share vs 61.5% player share in 30+ bracket). Third is Hugo Lloris of Los Angeles Football Club with a +31.0% ASC (92.5% value vs 61.5% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +31.0% ASC means the player captures 31.0% 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 | Rafael Cabral Real Salt Lake | 30+ | 92.5% | 61.5% | +31.0% |
| #2 | Jonathan Bond Houston Dynamo | 30+ | 92.5% | 61.5% | +31.0% |
| #3 | Hugo Lloris Los Angeles Football Club | 30+ | 92.5% | 61.5% | +31.0% |
| #4 | Zack Steffen Colorado Rapids | 30+ | 92.5% | 61.5% | +31.0% |
| #5 | Ethan Horvath Red Bull New York | 30+ | 92.5% | 61.5% | +31.0% |
| #6 | Óscar Ustari Club Internacional de Fútbol Miami | 30+ | 92.5% | 61.5% | +31.0% |
| #7 | Matt Turner New England Revolution | 30+ | 92.5% | 61.5% | +31.0% |
| #8 | Roman Bürki St. Louis City Soccer Club | 30+ | 92.5% | 61.5% | +31.0% |
| #9 | Brady Scott Los Angeles Galaxy | 27-29 | 4.1% | 15.4% | -11.3% |
| #10 | Sébastian Breza Club de Foot Montréal | 27-29 | 4.1% | 15.4% | -11.3% |
| #11 | Duran Ferree San Diego Football Club | U21 | 0.8% | 7.7% | -6.8% |
| #12 | Fabian Mrozek Football Club Cincinnati | 21-23 | 1.1% | 7.7% | -6.6% |
| #13 | Brian Schwake Nashville SC | 24-26 | 1.4% | 7.7% | -6.3% |
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: 2 immediate targets, 1 standard acquisitions, 0 watch-list prospects, 2 at peak.
BUY NOW - High Upside
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 €7.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Brady Scott Los Angeles Galaxy | €125K | €600K | -1.00 | Good Value |
Rafael Cabral Real Salt Lake | €550K | €600K | -0.46 | Fair Value |
Óscar Ustari Club Internacional de Fútbol Miami | €600K | €600K | -0.43 | Fair Value |
Jonathan Bond Houston Dynamo | €800K | €600K | -0.29 | Fair Value |
Hugo Lloris Los Angeles Football Club | €1.2M | €600K | 0.00 | Fair Value |
Matt Turner New England Revolution | €7.0M | €600K | 0.00 | Fair Value |
Sébastian Breza Club de Foot Montréal | €600K | €600K | 0.00 | Fair Value |
Fabian Mrozek Football Club Cincinnati | €200K | €600K | 0.00 | Fair Value |
Brian Schwake Nashville SC | €250K | €600K | 0.00 | Fair Value |
Duran Ferree San Diego Football Club | €150K | €600K | 0.00 | Fair Value |
Ethan Horvath Red Bull New York | €1.8M | €600K | +0.43 | Fair Value |
Zack Steffen Colorado Rapids | €2.0M | €600K | +0.57 | Above Market |
Roman Bürki St. Louis City Soccer Club | €2.5M | €600K | +0.93 | Above Market |
How We Rank MLS Goalkeepers
Our Analytical Strength Index is calibrated specifically for goalkeepers, 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 GK
Historical Achievement Index (35%)
Peak career market value for MLS goalkeepers, 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 goalkeepers, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Goalkeepers with 2,700+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Goalkeepers peak at 29 with gradual 3.5%/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.
GK Performance Benchmarks
Peak Age: 29 years (latest of all positions due to experience premium)
Decline Rate: 3.5% per year (slowest decline, experience compensates for reflexes)
Optimal Minutes: 2,700 per season (near-complete games for #1 goalkeeper)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: GK-specific -3.5%/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: ±8% confidence interval (most stable)
Research Foundation
• Dendir (2016): Age-performance curves for goalkeepers
• 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 Goalkeepers in the 2022-23 season
Who are the most valuable Goalkeepers in the MLS in 2022-23?
The most valuable goalkeeper in the MLS in 2022-23 is Matt Turner, who is worth €7.0M and plays for New England Revolution. The second most valuable is Roman Bürki (€2.5M, St. Louis City Soccer Club), followed by Zack Steffen (€2.0M, Colorado Rapids). Our database tracks 13 MLS Goalkeepers with comprehensive market valuations updated for the 2022-23 season.
How are MLS Goalkeepers ranked?
MLS Goalkeepers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Goalkeepers. 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 Goalkeepers peak?
Goalkeepers typically peak at age 29, later than outfield players, with a slower decline rate of 3.5% per year after peak. This is supported by research from Dendir (2016) showing that goalkeepers maintain elite performance longer due to the position's reliance on positioning, decision-making, and experience rather than pure athleticism. The optimal playing time for peak performance is around 2,700 minutes per season.
How much does it cost to sign a top goalkeeper from the MLS?
Transfer fees for MLS Goalkeepers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked goalkeeper Matt Turner (market value: €7.0M), estimated transfer fees would range from €5.6M to €9.8M 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 Goalkeepers?
Our 1-year forecast model projects market value changes for MLS Goalkeepers 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-goalkeepers have ±8% volatility (most stable). 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 goalkeeper data come from?
Our MLS goalkeeper 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.