Best U23 Young Left-Backs in the Ligue 1
7 players aged 23 or under · ranked by Analytical Strength Index
Best Young Left-Backs in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Ligue 1 Young Left-Backs 2022-23
Our database tracked 7 Ligue 1 Young Left-Backs in the 2022-23 season, representing 7 clubs with a combined market value of €95.6M. The average market value for Ligue 1 Young Left-Backs was €13.7M, with the average age at 22 years old.
The most valuable young left-back in the Ligue 1 was Nuno Mendes, worth €75.0M and played for Paris Saint-Germain at 23 years old. The top 5 Young Left-Backs averaged €18.9M in market value, including Kassoum Ouattara and Nhoa Sangui.
Age distribution showed the youngest tracked young left-back was Nhoa Sangui (20 years, Paris FC, €5.0M), while the oldest was Nuno Mendes (23 years, Paris Saint-Germain, €75.0M). Research shows Young Left-Backs typically peak at age 27.
Historical analysis showed 7 Young Left-Backs (100%) 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 Young Left-Backs remained actively developing with emerging talent in the 2022-23 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 Left-Backs. Identify undervalued assets and track market momentum across 7 clubs with €95.6M combined value.
Age Distribution: Ligue 1 Young Left-Backs
The Ligue 1 LB market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (5 players, 71% of market). The 21-23 age group holds the most value at €89.1M, averaging €17.8M per player.
Top Young Left-Backs by Age Bracket
U21 Years (2 players)
21-23 Years (5 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Left-Backs (14% of players) control €75.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 14% of the Ligue 1 LB pool.
Elite (€50M+)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Ligue 1 Young Left-Backs
Among 7 Ligue 1 clubs, Paris Saint-Germain leads with 1 Young Left-Backs worth €75.0M (averaging €75.0M per player). The top 10 clubs account for 100% of tracked Young Left-Backs.
Paris Saint-Germain (1 Young Left-Backs)
AS Monaco (1 Young Left-Backs)
Paris FC (1 Young Left-Backs)
Angers SCO (1 Young 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.
Nuno Mendes
Paris Saint-Germain • 23 years old
€64.9M
€75.0M
+15.6%
Expected: €83.6M
94.2
Kassoum Ouattara
AS Monaco • 21 years old
€7.8M
€9.0M
+15.6%
Expected: €9.9M
59.3
Nhoa Sangui
Paris FC • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.3
Jacques Ekomié
Angers SCO • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.8
Mahamadou Nagida
Stade Rennais FC • 20 years old
€1.3M
€1.5M
+15.6%
Expected: €1.7M
32.8
Fredrik Oppegård
AJ Auxerre • 23 years old
€519K
€600K
+15.6%
Expected: €642K
23.2
Achraf Laâziri
Olympique Lyon • 22 years old
€432K
€500K
+15.6%
Expected: €529K
20.3
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 Nuno Mendes at 23 years old has the highest Pre-Peak Value Efficiency at 18.75×. That means Nuno Mendes is valued 18.75× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is AS Monaco's Kassoum Ouattara, who is 21 years old, with a 2.25× PPVE. Third is Nhoa Sangui of Paris FC, 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 18.75× means the player is worth 1775% 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 | Nuno Mendes Paris Saint-Germain | 23 | 21-23 | €75.0M | €4.0M | 18.75× |
| #2 | Kassoum Ouattara AS Monaco | 21 | 21-23 | €9.0M | €4.0M | 2.25× |
| #3 | Nhoa Sangui Paris FC | 20 | U21 | €5.0M | €5.0M | 1.00× |
| #4 | Jacques Ekomié Angers SCO | 22 | 21-23 | €4.0M | €4.0M | 1.00× |
| #5 | Mahamadou Nagida Stade Rennais FC | 20 | U21 | €1.5M | €5.0M | 0.30× |
| #6 | Fredrik Oppegård AJ Auxerre | 23 | 21-23 | €600K | €4.0M | 0.15× |
| #7 | Achraf Laâziri Olympique Lyon | 22 | 21-23 | €500K | €4.0M | 0.13× |
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 Rennais FC's Mahamadou Nagida at 20 years old has the highest Return-to-Peak Potential at +35%. That means Mahamadou Nagida is projected to appreciate 35% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is Paris FC's Nhoa Sangui, who is 20 years old, with a +35% RPP (6 years to peak). Third is Kassoum Ouattara of AS Monaco, who is 21 years old with a +30% 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 35% RPP means the player is expected to gain 35% 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 | Mahamadou Nagida Stade Rennais FC | 20 | 6 | €1.5M | €2.3M | +35% |
| #2 | Nhoa Sangui Paris FC | 20 | 6 | €5.0M | €7.7M | +35% |
| #3 | Kassoum Ouattara AS Monaco | 21 | 5 | €9.0M | €12.9M | +30% |
| #4 | Achraf Laâziri Olympique Lyon | 22 | 4 | €500K | €668K | +25% |
| #5 | Jacques Ekomié Angers SCO | 22 | 4 | €4.0M | €5.3M | +25% |
| #6 | Fredrik Oppegård AJ Auxerre | 23 | 3 | €600K | €746K | +20% |
| #7 | Nuno Mendes Paris Saint-Germain | 23 | 3 | €75.0M | €93.2M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Stade Rennais FC's Mahamadou Nagida has the highest Risk-Adjusted Upside at 46.3. That means Mahamadou Nagida has 15% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Paris FC's Nhoa Sangui with a 46.3 RAU (15% upside, 0% uncertainty). Third is Nuno Mendes of Paris Saint-Germain with a 42.8 RAU (11% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 46.3 means the upside is 46.3× 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 | Mahamadou Nagida Stade Rennais FC | €1.7M | €1.5M-2.0M | +15% | 46.3 |
| #2 | Nhoa Sangui Paris FC | €5.7M | €4.9M-6.5M | +15% | 46.3 |
| #3 | Nuno Mendes Paris Saint-Germain | €83.6M | €73.5M-93.6M | +11% | 42.8 |
| #4 | Kassoum Ouattara AS Monaco | €9.9M | €8.6M-11.3M | +10% | 33.7 |
| #5 | Fredrik Oppegård AJ Auxerre | €642K | €565K-719K | +7% | 27.5 |
| #6 | Achraf Laâziri Olympique Lyon | €529K | €466K-593K | +6% | 23.0 |
| #7 | Jacques Ekomié Angers SCO | €4.2M | €3.7M-4.7M | +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 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)
AJ Auxerre's Fredrik Oppegård in the 21-23 age bracket has the highest Age-Share Concentration at +21.8%. That means Nuno Mendes captures 93.2% of total market value while representing only 71.4% of players in their age group-showing dominant elite status.
In second is Paris Saint-Germain's Nuno Mendes with a +21.8% ASC (93.2% value share vs 71.4% player share in 21-23 bracket). Third is Achraf Laâziri of Olympique Lyon with a +21.8% ASC (93.2% value vs 71.4% players in 21-23 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 | Fredrik Oppegård AJ Auxerre | 21-23 | 93.2% | 71.4% | +21.8% |
| #2 | Nuno Mendes Paris Saint-Germain | 21-23 | 93.2% | 71.4% | +21.8% |
| #3 | Achraf Laâziri Olympique Lyon | 21-23 | 93.2% | 71.4% | +21.8% |
| #4 | Kassoum Ouattara AS Monaco | 21-23 | 93.2% | 71.4% | +21.8% |
| #5 | Jacques Ekomié Angers SCO | 21-23 | 93.2% | 71.4% | +21.8% |
| #6 | Mahamadou Nagida Stade Rennais FC | U21 | 6.8% | 28.6% | -21.8% |
| #7 | Nhoa Sangui Paris FC | U21 | 6.8% | 28.6% | -21.8% |
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, 7 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 €500K. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Achraf Laâziri Olympique Lyon | €500K | €4.0M | -0.03 | Fair Value |
Mahamadou Nagida Stade Rennais FC | €1.5M | €4.0M | 0.00 | Fair Value |
Fredrik Oppegård AJ Auxerre | €600K | €4.0M | 0.00 | Fair Value |
Nuno Mendes Paris Saint-Germain | €75.0M | €4.0M | 0.00 | Fair Value |
Kassoum Ouattara AS Monaco | €9.0M | €4.0M | 0.00 | Fair Value |
Nhoa Sangui Paris FC | €5.0M | €4.0M | 0.00 | Fair Value |
Jacques Ekomié Angers SCO | €4.0M | €4.0M | +0.97 | Above Market |