Best U23 Young Right-Backs in the Ligue 1
4 players aged 23 or under · ranked by Analytical Strength Index
Best Young Right-Backs in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Ligue 1 Young Right-Backs 2025-26
Our database tracks 4 Ligue 1 Young Right-Backs in the 2025-26 season, representing 4 clubs with a combined market value of €34.0M. The average market value for Ligue 1 Young Right-Backs is €8.5M, with the average age at 23 years old.
The most valuable young right-back in the Ligue 1 is Guela Doué, worth €18.0M and playing for RC Strasbourg Alsace at 23 years old. The top 5 Young Right-Backs average €8.5M in market value, including Tiago Santos and Timothée Pembélé.
Age distribution shows the youngest tracked young right-back is Luck Zogbé (21 years, Stade Brestois 29, €2.0M), while the oldest is Guela Doué (23 years, RC Strasbourg Alsace, €18.0M). Research shows Young Right-Backs typically peak at age 27.
Our 1-year forecast model projects 4 Young Right-Backs (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 Right-Backs 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 Right-Backs. Identify undervalued assets and track market momentum across 4 clubs with €34.0M combined value.
Age Distribution: Ligue 1 Young Right-Backs
The Ligue 1 RB market shows 1 distinct age segments, with the largest cohort in the 21-23 bracket (4 players, 100% of market). The 21-23 age group holds the most value at €34.0M, averaging €8.5M per player.
Top Young Right-Backs by Age Bracket
21-23 Years (4 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Right-Backs (25% of players) control €18.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 25% of the Ligue 1 RB pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Ligue 1 Young Right-Backs
Among 4 Ligue 1 clubs, RC Strasbourg Alsace leads with 1 Young Right-Backs worth €18.0M (averaging €18.0M per player). The top 10 clubs account for 100% of tracked Young Right-Backs.
RC Strasbourg Alsace (1 Young Right-Backs)
LOSC Lille (1 Young Right-Backs)
Le Havre AC (1 Young Right-Backs)
Stade Brestois 29 (1 Young Right-Backs)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Guela Doué
RC Strasbourg Alsace • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.3M
72.7
Tiago Santos
LOSC Lille • 23 years old
€10.4M
€12.0M
+15.6%
Expected: €12.8M
67.7
Timothée Pembélé
Le Havre AC • 23 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
38.2
Luck Zogbé
Stade Brestois 29 • 21 years old
€1.7M
€2.0M
+15.6%
Expected: €2.2M
36.9
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)
RC Strasbourg Alsace's Guela Doué at 23 years old has the highest Pre-Peak Value Efficiency at 1.50×. That means Guela Doué is valued 1.50× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is LOSC Lille's Tiago Santos, who is 23 years old, with a 1.00× PPVE. Third is Luck Zogbé of Stade Brestois 29, who is 21 years old with a 0.17× 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 1.50× means the player is worth 50% 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 | Guela Doué RC Strasbourg Alsace | 23 | 21-23 | €18.0M | €12.0M | 1.50× |
| #2 | Tiago Santos LOSC Lille | 23 | 21-23 | €12.0M | €12.0M | 1.00× |
| #3 | Luck Zogbé Stade Brestois 29 | 21 | 21-23 | €2.0M | €12.0M | 0.17× |
| #4 | Timothée Pembélé Le Havre AC | 23 | 21-23 | €2.0M | €12.0M | 0.17× |
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 Luck Zogbé at 21 years old has the highest Return-to-Peak Potential at +30%. That means Luck Zogbé is projected to appreciate 30% as they reach their peak age in 5 years-representing significant upside before entering their prime.
In second is LOSC Lille's Tiago Santos, who is 23 years old, with a +20% RPP (3 years to peak). Third is Timothée Pembélé of Le Havre AC, who is 23 years old with a +20% RPP (3 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 30% RPP means the player is expected to gain 30% 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 | Luck Zogbé Stade Brestois 29 | 21 | 5 | €2.0M | €2.9M | +30% |
| #2 | Tiago Santos LOSC Lille | 23 | 3 | €12.0M | €14.9M | +20% |
| #3 | Timothée Pembélé Le Havre AC | 23 | 3 | €2.0M | €2.5M | +20% |
| #4 | Guela Doué RC Strasbourg Alsace | 23 | 3 | €18.0M | €22.4M | +20% |
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 Luck Zogbé has the highest Risk-Adjusted Upside at 33.7. That means Luck Zogbé has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Le Havre AC's Timothée Pembélé with a 27.5 RAU (7% upside, 0% uncertainty). Third is Guela Doué of RC Strasbourg Alsace with a 27.5 RAU (7% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 33.7 means the upside is 33.7× 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 | Luck Zogbé Stade Brestois 29 | €2.2M | €1.9M-2.5M | +10% | 33.7 |
| #2 | Timothée Pembélé Le Havre AC | €2.1M | €1.9M-2.4M | +7% | 27.5 |
| #3 | Guela Doué RC Strasbourg Alsace | €19.3M | €17.0M-21.6M | +7% | 27.5 |
| #4 | Tiago Santos LOSC Lille | €12.8M | €11.3M-14.4M | +7% | 27.5 |
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 right-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)
Stade Brestois 29's Luck Zogbé in the 21-23 age bracket has the highest Age-Share Concentration at +0.0%. That means Guela Doué captures 100.0% of total market value while representing only 100.0% of players in their age group-showing dominant elite status.
In second is Le Havre AC's Timothée Pembélé with a +0.0% ASC (100.0% value share vs 100.0% player share in 21-23 bracket). Third is Guela Doué of RC Strasbourg Alsace with a +0.0% ASC (100.0% value vs 100.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +0.0% ASC means the player captures 0.0% 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 | Luck Zogbé Stade Brestois 29 | 21-23 | 100.0% | 100.0% | 0.0% |
| #2 | Timothée Pembélé Le Havre AC | 21-23 | 100.0% | 100.0% | 0.0% |
| #3 | Guela Doué RC Strasbourg Alsace | 21-23 | 100.0% | 100.0% | 0.0% |
| #4 | Tiago Santos LOSC Lille | 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, 4 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 €18.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Luck Zogbé Stade Brestois 29 | €2.0M | €12.0M | 0.00 | Fair Value |
Timothée Pembélé Le Havre AC | €2.0M | €12.0M | 0.00 | Fair Value |
Guela Doué RC Strasbourg Alsace | €18.0M | €12.0M | 0.00 | Fair Value |
Tiago Santos LOSC Lille | €12.0M | €12.0M | 0.00 | Fair Value |
How We Rank Ligue 1 Young Right-Backs
Our Analytical Strength Index is calibrated specifically for young right-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 RB
Historical Achievement Index (35%)
Peak career market value for Ligue 1 young right-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 Ligue 1 young right-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%)
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.
RB 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 right-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 Ligue 1 Young Right-Backs in the 2025-26 season
Who are the most valuable Young Right-Backs in the Ligue 1 in 2025-26?
The most valuable young right-back in the Ligue 1 in 2025-26 is Guela Doué, who is worth €18.0M and plays for RC Strasbourg Alsace. The second most valuable is Tiago Santos (€12.0M, LOSC Lille), followed by Timothée Pembélé (€2.0M, Le Havre AC). Our database tracks 4 Ligue 1 Young Right-Backs with comprehensive market valuations updated for the 2025-26 season.
How are Ligue 1 Young Right-Backs ranked?
Ligue 1 Young Right-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Right-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 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 Right-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 right-back from the Ligue 1?
Transfer fees for Ligue 1 Young Right-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young right-back Guela Doué (market value: €18.0M), estimated transfer fees would range from €14.4M to €25.2M 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 Right-Backs?
Our 1-year forecast model projects market value changes for Ligue 1 Young Right-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 Ligue 1 young right-back data come from?
Our Ligue 1 young right-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 Ligue 1 sources and updated monthly for the 2025-26 season to ensure accuracy for recruitment and investment decisions.