Best U23 Young Defensive Midfielders in the Ligue 1
9 players aged 23 or under · ranked by Analytical Strength Index
Best Young Defensive Midfielders in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Ligue 1 Young Defensive Midfielders 2025-26
Our database tracks 9 Ligue 1 Young Defensive Midfielders in the 2025-26 season, representing 9 clubs with a combined market value of €78.2M. The average market value for Ligue 1 Young Defensive Midfielders is €8.7M, with the average age at 22 years old.
The most valuable young defensive midfielder in the Ligue 1 is Arthur Vermeeren, worth €28.0M and playing for Olympique Marseille at 21 years old. The top 5 Young Defensive Midfielders average €14.4M in market value, including Tyler Morton and Ngal'ayel Mukau.
Age distribution shows the youngest tracked young defensive midfielder is Hamidou Makalou (19 years, Stade Brestois 29, €800K), while the oldest is Tyler Morton (23 years, Olympique Lyon, €18.0M). Research shows Young Defensive Midfielders typically peak at age 26-27.
Our 1-year forecast model projects 9 Young Defensive Midfielders (100%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Ligue 1 market for Young Defensive Midfielders remains actively developing with emerging talent in the 2025-26 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 Young Defensive Midfielders. Identify undervalued assets and track market momentum across 9 clubs with €78.2M combined value.
Age Distribution: Ligue 1 Young Defensive Midfielders
The Ligue 1 CDM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (7 players, 78% of market). The 21-23 age group holds the most value at €76.4M, averaging €10.9M per player.
Top Young Defensive Midfielders by Age Bracket
U21 Years (2 players)
21-23 Years (7 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Defensive Midfielders (11% of players) control €28.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 22% of the Ligue 1 CDM pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Ligue 1 Young Defensive Midfielders
Among 9 Ligue 1 clubs, Olympique Marseille leads with 1 Young Defensive Midfielders worth €28.0M (averaging €28.0M per player). The top 10 clubs account for 100% of tracked Young Defensive Midfielders.
Olympique Marseille (1 Young Defensive Midfielders)
Olympique Lyon (1 Young Defensive Midfielders)
LOSC Lille (1 Young Defensive Midfielders)
RC Strasbourg Alsace (1 Young Defensive Midfielders)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Arthur Vermeeren
Olympique Marseille • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
77.9
Tyler Morton
Olympique Lyon • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.1M
73.1
Ngal'ayel Mukau
LOSC Lille • 21 years old
€10.4M
€12.0M
+15.6%
Expected: €13.8M
67.2
Junior Mwanga
RC Strasbourg Alsace • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
57.6
Johann Lepenant
FC Nantes • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
57.6
Lucas Gourna-Douath
Le Havre AC • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.4M
50.1
Fodé Sylla
RC Lens • 20 years old
€865K
€1.0M
+15.6%
Expected: €1.2M
28.0
Hamidou Makalou
Stade Brestois 29 • 19 years old
€692K
€800K
+15.6%
Expected: €988K
24.8
Cedrik Gbo
Etoile Sportive du Sahel • 23 years old
€346K
€400K
+15.6%
Expected: €423K
17.4
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)
Olympique Marseille's Arthur Vermeeren at 21 years old has the highest Pre-Peak Value Efficiency at 4.00×. That means Arthur Vermeeren is valued 4.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Olympique Lyon's Tyler Morton, who is 23 years old, with a 2.57× PPVE. Third is Ngal'ayel Mukau of LOSC Lille, who is 21 years old with a 1.71× 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 4.00× means the player is worth 300% 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 | Arthur Vermeeren Olympique Marseille | 21 | 21-23 | €28.0M | €7.0M | 4.00× |
| #2 | Tyler Morton Olympique Lyon | 23 | 21-23 | €18.0M | €7.0M | 2.57× |
| #3 | Ngal'ayel Mukau LOSC Lille | 21 | 21-23 | €12.0M | €7.0M | 1.71× |
| #4 | Junior Mwanga RC Strasbourg Alsace | 23 | 21-23 | €7.0M | €7.0M | 1.00× |
| #5 | Johann Lepenant FC Nantes | 23 | 21-23 | €7.0M | €7.0M | 1.00× |
| #6 | Fodé Sylla RC Lens | 20 | U21 | €1.0M | €1.0M | 1.00× |
| #7 | Hamidou Makalou Stade Brestois 29 | 19 | U21 | €800K | €1.0M | 0.80× |
| #8 | Lucas Gourna-Douath Le Havre AC | 22 | 21-23 | €4.0M | €7.0M | 0.57× |
| #9 | Cedrik Gbo Etoile Sportive du Sahel | 23 | 21-23 | €400K | €7.0M | 0.06× |
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)
Stade Brestois 29's Hamidou Makalou at 19 years old has the highest Return-to-Peak Potential at +44%. That means Hamidou Makalou is projected to appreciate 44% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is RC Lens's Fodé Sylla, who is 20 years old, with a +40% RPP (6 years to peak). Third is Ngal'ayel Mukau of LOSC Lille, who is 21 years old with a +35% 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 44% RPP means the player is expected to gain 44% 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 | Hamidou Makalou Stade Brestois 29 | 19 | 7 | €800K | €1.4M | +44% |
| #2 | Fodé Sylla RC Lens | 20 | 6 | €1.0M | €1.7M | +40% |
| #3 | Ngal'ayel Mukau LOSC Lille | 21 | 5 | €12.0M | €18.5M | +35% |
| #4 | Arthur Vermeeren Olympique Marseille | 21 | 5 | €28.0M | €43.3M | +35% |
| #5 | Lucas Gourna-Douath Le Havre AC | 22 | 4 | €4.0M | €5.7M | +30% |
| #6 | Junior Mwanga RC Strasbourg Alsace | 23 | 3 | €7.0M | €9.4M | +25% |
| #7 | Johann Lepenant FC Nantes | 23 | 3 | €7.0M | €9.4M | +25% |
| #8 | Tyler Morton Olympique Lyon | 23 | 3 | €18.0M | €24.1M | +25% |
| #9 | Cedrik Gbo Etoile Sportive du Sahel | 23 | 3 | €400K | €535K | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Stade Brestois 29's Hamidou Makalou has the highest Risk-Adjusted Upside at 68.9. That means Hamidou Makalou has 23% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is RC Lens's Fodé Sylla with a 58.0 RAU (19% upside, 0% uncertainty). Third is Ngal'ayel Mukau of LOSC Lille with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 68.9 means the upside is 68.9× 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 | Hamidou Makalou Stade Brestois 29 | €988K | €852K-1.1M | +23% | 68.9 |
| #2 | Fodé Sylla RC Lens | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #3 | Ngal'ayel Mukau LOSC Lille | €13.8M | €11.9M-15.7M | +15% | 46.3 |
| #4 | Arthur Vermeeren Olympique Marseille | €32.1M | €27.7M-36.5M | +15% | 46.3 |
| #5 | Lucas Gourna-Douath Le Havre AC | €4.4M | €3.9M-4.9M | +10% | 38.7 |
| #6 | Tyler Morton Olympique Lyon | €19.1M | €16.8M-21.3M | +6% | 23.0 |
| #7 | Junior Mwanga RC Strasbourg Alsace | €7.4M | €6.5M-8.3M | +6% | 23.0 |
| #8 | Johann Lepenant FC Nantes | €7.4M | €6.5M-8.3M | +6% | 23.0 |
| #9 | Cedrik Gbo Etoile Sportive du Sahel | €423K | €373K-474K | +6% | 23.0 |
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 defensive midfielder 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 Junior Mwanga in the 21-23 age bracket has the highest Age-Share Concentration at +19.9%. That means Arthur Vermeeren captures 97.7% of total market value while representing only 77.8% of players in their age group-showing dominant elite status.
In second is LOSC Lille's Ngal'ayel Mukau with a +19.9% ASC (97.7% value share vs 77.8% player share in 21-23 bracket). Third is Johann Lepenant of FC Nantes with a +19.9% ASC (97.7% value vs 77.8% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +19.9% ASC means the player captures 19.9% 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 | Junior Mwanga RC Strasbourg Alsace | 21-23 | 97.7% | 77.8% | +19.9% |
| #2 | Ngal'ayel Mukau LOSC Lille | 21-23 | 97.7% | 77.8% | +19.9% |
| #3 | Johann Lepenant FC Nantes | 21-23 | 97.7% | 77.8% | +19.9% |
| #4 | Tyler Morton Olympique Lyon | 21-23 | 97.7% | 77.8% | +19.9% |
| #5 | Lucas Gourna-Douath Le Havre AC | 21-23 | 97.7% | 77.8% | +19.9% |
| #6 | Cedrik Gbo Etoile Sportive du Sahel | 21-23 | 97.7% | 77.8% | +19.9% |
| #7 | Arthur Vermeeren Olympique Marseille | 21-23 | 97.7% | 77.8% | +19.9% |
| #8 | Hamidou Makalou Stade Brestois 29 | U21 | 2.3% | 22.2% | -19.9% |
| #9 | Fodé Sylla RC Lens | U21 | 2.3% | 22.2% | -19.9% |
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, 7 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
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 €28.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Hamidou Makalou Stade Brestois 29 | €800K | €7.0M | -1.00 | Good Value |
Tyler Morton Olympique Lyon | €18.0M | €7.0M | -1.00 | Good Value |
Cedrik Gbo Etoile Sportive du Sahel | €400K | €7.0M | -1.00 | Good Value |
Junior Mwanga RC Strasbourg Alsace | €7.0M | €7.0M | 0.00 | Fair Value |
Johann Lepenant FC Nantes | €7.0M | €7.0M | 0.00 | Fair Value |
Lucas Gourna-Douath Le Havre AC | €4.0M | €7.0M | 0.00 | Fair Value |
Arthur Vermeeren Olympique Marseille | €28.0M | €7.0M | 0.00 | Fair Value |
Fodé Sylla RC Lens | €1.0M | €7.0M | 0.00 | Fair Value |
Ngal'ayel Mukau LOSC Lille | €12.0M | €7.0M | +1.00 | Above Market |
How We Rank Ligue 1 Young Defensive Midfielders
Our Analytical Strength Index is calibrated specifically for young defensive midfielders, 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 CDM
Historical Achievement Index (35%)
Peak career market value for Ligue 1 young defensive midfielders, 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 young defensive midfielders, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 26-27 with 6.0%/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.
CDM Performance Benchmarks
Peak Age: 26-27 years (technical skill and tactical awareness)
Decline Rate: 6.0% per year (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Midfielder -6.0%/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: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young defensive midfielders
• 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 Young Defensive Midfielders in the 2025-26 season
Who are the most valuable Young Defensive Midfielders in the Ligue 1 in 2025-26?
The most valuable young defensive midfielder in the Ligue 1 in 2025-26 is Arthur Vermeeren, who is worth €28.0M and plays for Olympique Marseille. The second most valuable is Tyler Morton (€18.0M, Olympique Lyon), followed by Ngal'ayel Mukau (€12.0M, LOSC Lille). Our database tracks 9 Ligue 1 Young Defensive Midfielders with comprehensive market valuations updated for the 2025-26 season.
How are Ligue 1 Young Defensive Midfielders ranked?
Ligue 1 Young Defensive Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Defensive Midfielders. 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 Young Defensive Midfielders peak?
Midfielders typically peak at age 26-27, with a decline rate of 6.0% per year after peak. Central midfielders require a blend of physicality, technical skill, and tactical awareness. The optimal playing time for peak performance is around 2,400-2,500 minutes per season.
How much does it cost to sign a top young defensive midfielder from the Ligue 1?
Transfer fees for Ligue 1 Young Defensive Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young defensive midfielder Arthur Vermeeren (market value: €28.0M), estimated transfer fees would range from €22.4M to €39.2M 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 Young Defensive Midfielders?
Our 1-year forecast model projects market value changes for Ligue 1 Young Defensive Midfielders 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-midfielders have ±12-15% 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 Ligue 1 young defensive midfielder data come from?
Our Ligue 1 young defensive midfielder 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 2025-26 season to ensure accuracy for recruitment and investment decisions.