Best Goalkeepers in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Ligue 1 Goalkeepers 2026-27
Our database tracked 35 Ligue 1 Goalkeepers in the 2026-27 season, representing 18 clubs with a combined market value of €174.4M. The average market value for Ligue 1 Goalkeepers was €5.0M, with the average age at 29 years old.
The most valuable goalkeeper in the Ligue 1 was Lucas Chevalier, worth €35.0M and played for Paris Saint-Germain at 24 years old. The top 5 Goalkeepers averaged €19.0M in market value, including Guillaume Restes and Matvey Safonov.
Age distribution showed the youngest tracked goalkeeper was Renato Marin (19 years, Paris Saint-Germain, €500K), while the oldest was Lukas Hradecky (36 years, AS Monaco, €1.8M). Research shows Goalkeepers typically peak at age 29.
Historical analysis showed 17 Goalkeepers (49%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Ligue 1 market for Goalkeepers remained actively developing with emerging talent in the 2026-27 season.
💡 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.
Explore Market Size by Position in Ligue 1
Interactive bubble chart showing predicted 2-year growth vs current age for all Ligue 1 Goalkeepers. Identify undervalued assets and track market momentum across 18 clubs with €174.4M combined value.
Age Distribution: Ligue 1 Goalkeepers
The Ligue 1 GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (14 players, 40% of market). The 24-26 age group holds the most value at €58.8M, averaging €9.8M per player.
Top Goalkeepers by Age Bracket
U21 Years (2 players)
21-23 Years (2 players)
24-26 Years (6 players)
27-29 Years (11 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Goalkeepers (11% of players) control €85.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 3% of the Ligue 1 GK pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Ligue 1 Goalkeepers
Among 18 Ligue 1 clubs, Paris Saint-Germain leads with 3 Goalkeepers worth €50.5M (averaging €16.8M per player). The top 10 clubs account for 63% of tracked Goalkeepers.
Paris Saint-Germain (3 Goalkeepers)
FC Toulouse (3 Goalkeepers)
RC Strasbourg Alsace (3 Goalkeepers)
LOSC Lille (2 Goalkeepers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Lucas Chevalier
Paris Saint-Germain • 24 years old
€30.3M
€35.0M
+15.6%
Expected: €40.2M
86.5
Guillaume Restes
FC Toulouse • 21 years old
€17.3M
€20.0M
+15.6%
Expected: €24.7M
73.9
Matvey Safonov
Paris Saint-Germain • 27 years old
€13.0M
€15.0M
+15.6%
Expected: €15.4M
70.8
Mike Penders
RC Strasbourg Alsace • 20 years old
€13.0M
€15.0M
+15.6%
Expected: €19.2M
70.0
Berke Özer
LOSC Lille • 26 years old
€8.6M
€10.0M
+15.6%
Expected: €10.7M
62.5
Brice Samba
Stade Rennais FC • 32 years old
€12.9M
€10.0M
-22.6%
Expected: €8.5M
62.4
Gerónimo Rulli
Olympique Marseille • 34 years old
€11.6M
€9.0M
-22.6%
Expected: €7.7M
61.9
Robin Risser
RC Lens • 21 years old
€8.6M
€10.0M
+15.6%
Expected: €12.3M
61.6
Yehvann Diouf
OGC Nice • 26 years old
€7.8M
€9.0M
+15.6%
Expected: €9.6M
61.2
Dominik Greif
Olympique Lyon • 29 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
58.2
Radoslaw Majecki
Stade Brestois 29 • 26 years old
€3.5M
€4.0M
+15.6%
Expected: €4.3M
50.7
Philipp Köhn
AS Monaco • 28 years old
€3.5M
€4.0M
+15.6%
Expected: €3.9M
49.7
Yvon Mvogo
FC Lorient • 32 years old
€3.9M
€3.0M
-22.6%
Expected: €2.6M
43.5
Hervé Koffi
Angers SCO • 29 years old
€2.6M
€3.0M
+15.6%
Expected: €3.1M
42.2
Kevin Trapp
Paris FC • 35 years old
€2.6M
€2.0M
-22.6%
Expected: €1.8M
39.6
Lukas Hradecky
AS Monaco • 36 years old
€2.3M
€1.8M
-22.6%
Expected: €1.6M
38.6
Jeffrey de Lange
Olympique Marseille • 28 years old
€1.7M
€2.0M
+15.6%
Expected: €2.0M
37.4
Arnaud Bodart
LOSC Lille • 28 years old
€1.7M
€2.0M
+15.6%
Expected: €2.0M
37.4
Rémy Descamps
Olympique Lyon • 29 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
36.9
Anthony Lopes
FC Nantes • 35 years old
€1.3M
€1.0M
-22.6%
Expected: €898K
30.6
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)
Paris Saint-Germain's Lucas Chevalier at 24 years old has the highest Pre-Peak Value Efficiency at 70.00×. That means Lucas Chevalier is valued 70.00× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is RC Strasbourg Alsace's Stefan Bajic, who is 24 years old, with a 1.00× PPVE. Third is Mike Penders of RC Strasbourg Alsace, who is 20 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 70.00× means the player is worth 6900% 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 | Lucas Chevalier Paris Saint-Germain | 24 | 24-26 | €35.0M | €500K | 70.00× |
| #2 | Stefan Bajic RC Strasbourg Alsace | 24 | 24-26 | €500K | €500K | 1.00× |
| #3 | Mike Penders RC Strasbourg Alsace | 20 | U21 | €15.0M | €15.0M | 1.00× |
| #4 | Guillaume Restes FC Toulouse | 21 | 21-23 | €20.0M | €20.0M | 1.00× |
| #5 | Théo De Percin AJ Auxerre | 25 | 24-26 | €300K | €500K | 0.60× |
| #6 | Robin Risser RC Lens | 21 | 21-23 | €10.0M | €20.0M | 0.50× |
| #7 | Renato Marin Paris Saint-Germain | 19 | U21 | €500K | €15.0M | 0.03× |
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)
Paris Saint-Germain's Renato Marin at 19 years old has the highest Return-to-Peak Potential at +52%. That means Renato Marin is projected to appreciate 52% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is RC Strasbourg Alsace's Mike Penders, who is 20 years old, with a +48% RPP (6 years to peak). Third is Robin Risser of RC Lens, who is 21 years old with a +44% RPP (5 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 | Renato Marin Paris Saint-Germain | 19 | 7 | €500K | €1.0M | +52% |
| #2 | Mike Penders RC Strasbourg Alsace | 20 | 6 | €15.0M | €28.8M | +48% |
| #3 | Robin Risser RC Lens | 21 | 5 | €10.0M | €17.9M | +44% |
| #4 | Guillaume Restes FC Toulouse | 21 | 5 | €20.0M | €35.7M | +44% |
| #5 | Stefan Bajic RC Strasbourg Alsace | 24 | 2 | €500K | €719K | +30% |
| #6 | Lucas Chevalier Paris Saint-Germain | 24 | 2 | €35.0M | €50.3M | +30% |
| #7 | Théo De Percin AJ Auxerre | 25 | 1 | €300K | €401K | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Paris Saint-Germain's Renato Marin has the highest Risk-Adjusted Upside at 154.3. That means Renato Marin has 40% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is RC Strasbourg Alsace's Mike Penders with a 118.5 RAU (28% upside, 0% uncertainty). Third is Robin Risser of RC Lens with a 103.3 RAU (23% 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 | Renato Marin Paris Saint-Germain | €698K | €634K-762K | +40% | 154.3 |
| #2 | Mike Penders RC Strasbourg Alsace | €19.2M | €17.4M-20.9M | +28% | 118.5 |
| #3 | Robin Risser RC Lens | €12.3M | €11.2M-13.5M | +23% | 103.3 |
| #4 | Guillaume Restes FC Toulouse | €24.7M | €22.4M-27.0M | +23% | 103.3 |
| #5 | Lucas Chevalier Paris Saint-Germain | €40.2M | €36.9M-43.4M | +15% | 80.3 |
| #6 | Stefan Bajic RC Strasbourg Alsace | €551K | €507K-595K | +10% | 58.1 |
| #7 | Radoslaw Majecki Stade Brestois 29 | €4.3M | €3.9M-4.6M | +7% | 41.2 |
| #8 | Berke Özer LOSC Lille | €10.7M | €9.8M-11.6M | +7% | 41.2 |
| #9 | Yehvann Diouf OGC Nice | €9.6M | €8.9M-10.4M | +7% | 41.2 |
| #10 | Théo De Percin AJ Auxerre | €318K | €292K-343K | +6% | 34.5 |
| #11 | Bingourou Kamara FC Lorient | €721K | €663K-778K | +3% | 18.0 |
| #12 | Rémy Descamps Olympique Lyon | €2.1M | €1.9M-2.2M | +3% | 18.0 |
| #13 | Dominik Greif Olympique Lyon | €8.2M | €7.6M-8.9M | +3% | 18.0 |
| #14 | Hervé Koffi Angers SCO | €3.1M | €2.8M-3.3M | +3% | 18.0 |
| #15 | Grégoire Coudert Stade Brestois 29 | €819K | €754K-885K | +2% | 14.7 |
| #16 | Matvey Safonov Paris Saint-Germain | €15.4M | €14.1M-16.6M | +2% | 14.7 |
| #17 | Álex Domínguez FC Toulouse | €256K | €236K-277K | +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 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)
RC Strasbourg Alsace's Karl-Johan Johnsson in the 30+ age bracket has the highest Age-Share Concentration at +-21.8%. That means Brice Samba captures 18.2% of total market value while representing only 40.0% of players in their age group-showing dominant elite status.
In second is OGC Nice's Maxime Dupé with a +-21.8% ASC (18.2% value share vs 40.0% player share in 30+ bracket). Third is Yvon Mvogo of FC Lorient with a +-21.8% ASC (18.2% value vs 40.0% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-21.8% ASC means the player captures -21.8% 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 | Karl-Johan Johnsson RC Strasbourg Alsace | 30+ | 18.2% | 40.0% | -21.8% |
| #2 | Maxime Dupé OGC Nice | 30+ | 18.2% | 40.0% | -21.8% |
| #3 | Yvon Mvogo FC Lorient | 30+ | 18.2% | 40.0% | -21.8% |
| #4 | Mory Diaw Le Havre AC | 30+ | 18.2% | 40.0% | -21.8% |
| #5 | Lionel Mpasi-Nzau Le Havre AC | 30+ | 18.2% | 40.0% | -21.8% |
| #6 | Donovan Léon AJ Auxerre | 30+ | 18.2% | 40.0% | -21.8% |
| #7 | Patrik Carlgren FC Nantes | 30+ | 18.2% | 40.0% | -21.8% |
| #8 | Brice Samba Stade Rennais FC | 30+ | 18.2% | 40.0% | -21.8% |
| #9 | Gerónimo Rulli Olympique Marseille | 30+ | 18.2% | 40.0% | -21.8% |
| #10 | Kevin Trapp Paris FC | 30+ | 18.2% | 40.0% | -21.8% |
| #11 | Alexis Guendouz MC Algiers | 30+ | 18.2% | 40.0% | -21.8% |
| #12 | Lukas Hradecky AS Monaco | 30+ | 18.2% | 40.0% | -21.8% |
| #13 | Mathieu Gorgelin RC Lens | 30+ | 18.2% | 40.0% | -21.8% |
| #14 | Anthony Lopes FC Nantes | 30+ | 18.2% | 40.0% | -21.8% |
| #15 | Radoslaw Majecki Stade Brestois 29 | 24-26 | 33.7% | 17.1% | +16.6% |
| #16 | Berke Özer LOSC Lille | 24-26 | 33.7% | 17.1% | +16.6% |
| #17 | Yehvann Diouf OGC Nice | 24-26 | 33.7% | 17.1% | +16.6% |
| #18 | Lucas Chevalier Paris Saint-Germain | 24-26 | 33.7% | 17.1% | +16.6% |
| #19 | Stefan Bajic RC Strasbourg Alsace | 24-26 | 33.7% | 17.1% | +16.6% |
| #20 | Théo De Percin AJ Auxerre | 24-26 | 33.7% | 17.1% | +16.6% |
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: 4 immediate targets, 3 standard acquisitions, 0 watch-list prospects, 10 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 €800K. 0 undervalued, 2 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Álex Domínguez FC Toulouse | €250K | €2.0M | -1.35 | Good Value |
Kjetil Haug FC Toulouse | €500K | €2.0M | -1.15 | Good Value |
Gerónimo Rulli Olympique Marseille | €9.0M | €2.0M | -1.00 | Good Value |
Bingourou Kamara FC Lorient | €700K | €2.0M | -1.00 | Good Value |
Yehvann Diouf OGC Nice | €9.0M | €2.0M | -1.00 | Good Value |
Grégoire Coudert Stade Brestois 29 | €800K | €2.0M | -0.92 | Good Value |
Karl-Johan Johnsson RC Strasbourg Alsace | €250K | €2.0M | -0.50 | Fair Value |
Mathieu Gorgelin RC Lens | €250K | €2.0M | -0.50 | Fair Value |
Lionel Mpasi-Nzau Le Havre AC | €400K | €2.0M | -0.38 | Fair Value |
Patrik Carlgren FC Nantes | €500K | €2.0M | -0.31 | Fair Value |
Maxime Dupé OGC Nice | €800K | €2.0M | -0.08 | Fair Value |
Théo De Percin AJ Auxerre | €300K | €2.0M | -0.05 | Fair Value |
Renato Marin Paris Saint-Germain | €500K | €2.0M | 0.00 | Fair Value |
Donovan Léon AJ Auxerre | €900K | €2.0M | 0.00 | Fair Value |
Brice Samba Stade Rennais FC | €10.0M | €2.0M | 0.00 | Fair Value |
Rémy Descamps Olympique Lyon | €2.0M | €2.0M | 0.00 | Fair Value |
Jeffrey de Lange Olympique Marseille | €2.0M | €2.0M | 0.00 | Fair Value |
Dominik Greif Olympique Lyon | €8.0M | €2.0M | 0.00 | Fair Value |
Matvey Safonov Paris Saint-Germain | €15.0M | €2.0M | 0.00 | Fair Value |
Berke Özer LOSC Lille | €10.0M | €2.0M | 0.00 | Fair Value |
How We Rank Ligue 1 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 Ligue 1 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 Ligue 1 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%)
Ligue 1 receives Top 5 European league premium for competitive intensity and quality of opposition.
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 Ligue 1 Goalkeepers in the 2026-27 season
Who are the most valuable Goalkeepers in the Ligue 1 in 2026-27?
The most valuable goalkeeper in the Ligue 1 in 2026-27 is Lucas Chevalier, who is worth €35.0M and plays for Paris Saint-Germain. The second most valuable is Guillaume Restes (€20.0M, FC Toulouse), followed by Matvey Safonov (€15.0M, Paris Saint-Germain). Our database tracks 35 Ligue 1 Goalkeepers with comprehensive market valuations updated for the 2026-27 season.
How are Ligue 1 Goalkeepers ranked?
Ligue 1 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 Ligue 1 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 Ligue 1?
Transfer fees for Ligue 1 Goalkeepers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked goalkeeper Lucas Chevalier (market value: €35.0M), estimated transfer fees would range from €28.0M to €49.0M 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 Ligue 1 transactions.
What is the value forecast for Ligue 1 Goalkeepers?
Our 1-year forecast model projects market value changes for Ligue 1 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 Ligue 1 goalkeeper data come from?
Our Ligue 1 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 Ligue 1 sources and updated monthly for the 2026-27 season to ensure accuracy for recruitment and investment decisions.