Best U23 Young Players in the Ligue 1
129 players aged 23 or under · ranked by Analytical Strength Score
Best Young Players in the Ligue 1 (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Ligue 1 Young Players 2022-23
Our database tracked 129 Ligue 1 Young Players in the 2022-23 season, representing 19 clubs with a combined market value of €1.2B. The average market value for Ligue 1 Young Players was €9.7M, with the average age at 21.4 years old.
The most valuable young player in the Ligue 1 was Bradley Barcola, worth €70.0M and played for Paris Saint-Germain at 23 years old. The top 5 Young Players averaged €73.0M in market value, including Nuno Mendes and João Neves.
Age distribution showed the youngest tracked young player was Ayyoub Bouaddi (18 years, LOSC Lille, €28.0M), while the oldest was Bradley Barcola (23 years, Paris Saint-Germain, €70.0M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 129 Young Players (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 Players remained highly competitive with significant transfer activity 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 Players. Identify undervalued assets and track market momentum across 19 clubs with €1.2B combined value.
Age Distribution: Ligue 1 Young Players
The Ligue 1 ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (93 players, 72% of market). The 21-23 age group holds the most value at €929.0M, averaging €10.0M per player.
Top Young Players by Age Bracket
U21 Years (36 players)
21-23 Years (93 players)
Market Value Distribution
Elite Tier Concentration
The top 13 Young Players (10% of players) control €589.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 4% of the Ligue 1 ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Ligue 1 Young Players
Among 19 Ligue 1 clubs, Paris Saint-Germain leads with 10 Young Players worth €450.5M (averaging €45.0M per player). The top 10 clubs account for 70% of tracked Young Players.
Paris Saint-Germain (10 Young Players)
RC Strasbourg Alsace (21 Young Players)
LOSC Lille (11 Young Players)
AS Monaco (10 Young Players)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Bradley Barcola
Paris Saint-Germain • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
93.4
Nuno Mendes
Paris Saint-Germain • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
93.4
João Neves
Paris Saint-Germain • 21 years old
€69.2M
€80.0M
+15.6%
Expected: €91.8M
93.3
Désiré Doué
Paris Saint-Germain • 20 years old
€77.8M
€90.0M
+15.6%
Expected: €107.4M
92.2
Warren Zaïre-Emery
Paris Saint-Germain • 20 years old
€47.6M
€55.0M
+15.6%
Expected: €65.6M
88.5
Ilya Zabarnyi
Paris Saint-Germain • 23 years old
€36.3M
€42.0M
+15.6%
Expected: €46.8M
87.0
Mika Biereth
AS Monaco • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
79.1
Malick Fofana
Olympique Lyon • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €33.1M
77.8
Emmanuel Emegha
RC Strasbourg Alsace • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €26.8M
76.8
Lucas Beraldo
Paris Saint-Germain • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.3
Ayyoub Bouaddi
LOSC Lille • 18 years old
€24.2M
€28.0M
+15.6%
Expected: €34.6M
75.2
Arthur Vermeeren
Olympique Marseille • 21 years old
€19.0M
€22.0M
+15.6%
Expected: €25.2M
74.8
Lamine Camara
AS Monaco • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €23.3M
74.6
Julio Enciso
RC Strasbourg Alsace • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €24.2M
74.4
Guillaume Restes
FC Toulouse • 21 years old
€17.3M
€20.0M
+15.6%
Expected: €24.7M
73.9
Sebastian Nanasi
RC Strasbourg Alsace • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.3M
72.7
Guéla Doué
RC Strasbourg Alsace • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.3M
72.7
Matthis Abline
FC Nantes • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.3M
72.7
Hákon Arnar Haraldsson
LOSC Lille • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €20.1M
72.6
Mamadou Sarr
RC Strasbourg Alsace • 20 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
72.2
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 Désiré Doué at 20 years old has the highest Pre-Peak Value Efficiency at 30.00×. That means Désiré Doué is valued 30.00× higher than the median player in the U21 age bracket—representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's Warren Zaïre-Emery, who is 20 years old, with a 18.33× PPVE. Third is João Neves of Paris Saint-Germain, who is 21 years old with a 16.00× 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 30.00× means the player is worth 2900% 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 | Désiré Doué Paris Saint-Germain | 20 | U21 | €90.0M | €3.0M | 30.00× |
| #2 | Warren Zaïre-Emery Paris Saint-Germain | 20 | U21 | €55.0M | €3.0M | 18.33× |
| #3 | João Neves Paris Saint-Germain | 21 | 21-23 | €80.0M | €5.0M | 16.00× |
| #4 | Nuno Mendes Paris Saint-Germain | 23 | 21-23 | €70.0M | €5.0M | 14.00× |
| #5 | Bradley Barcola Paris Saint-Germain | 23 | 21-23 | €70.0M | €5.0M | 14.00× |
| #6 | Ayyoub Bouaddi LOSC Lille | 18 | U21 | €28.0M | €3.0M | 9.33× |
| #7 | Ilya Zabarnyi Paris Saint-Germain | 23 | 21-23 | €42.0M | €5.0M | 8.40× |
| #8 | Mamadou Sarr RC Strasbourg Alsace | 20 | U21 | €20.0M | €3.0M | 6.67× |
| #9 | Mika Biereth AS Monaco | 23 | 21-23 | €30.0M | €5.0M | 6.00× |
| #10 | Malick Fofana Olympique Lyon | 21 | 21-23 | €30.0M | €5.0M | 6.00× |
| #11 | George Ilenikhena AS Monaco | 19 | U21 | €15.0M | €3.0M | 5.00× |
| #12 | Emmanuel Emegha RC Strasbourg Alsace | 23 | 21-23 | €25.0M | €5.0M | 5.00× |
| #13 | Lucas Beraldo Paris Saint-Germain | 22 | 21-23 | €25.0M | €5.0M | 5.00× |
| #14 | Senny Mayulu Paris Saint-Germain | 19 | U21 | €15.0M | €3.0M | 5.00× |
| #15 | Julio Enciso RC Strasbourg Alsace | 22 | 21-23 | €22.0M | €5.0M | 4.40× |
| #16 | Lamine Camara AS Monaco | 22 | 21-23 | €22.0M | €5.0M | 4.40× |
| #17 | Arthur Vermeeren Olympique Marseille | 21 | 21-23 | €22.0M | €5.0M | 4.40× |
| #18 | Mike Penders RC Strasbourg Alsace | 20 | U21 | €12.0M | €3.0M | 4.00× |
| #19 | Guillaume Restes FC Toulouse | 21 | 21-23 | €20.0M | €5.0M | 4.00× |
| #20 | Sebastian Nanasi RC Strasbourg Alsace | 23 | 21-23 | €18.0M | €5.0M | 3.60× |
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 Ayyoub Bouaddi of LOSC Lille, who is 18 years old with a +44% RPP (8 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 | €12.0M | €23.1M | +48% |
| #3 | Ayyoub Bouaddi LOSC Lille | 18 | 8 | €28.0M | €50.0M | +44% |
| #4 | Darryl Bakola Olympique Marseille | 18 | 8 | €200K | €357K | +44% |
| #5 | Ibrahim Mbaye Paris Saint-Germain | 18 | 8 | €3.0M | €5.4M | +44% |
| #6 | Robin Risser RC Lens | 21 | 5 | €1.5M | €2.7M | +44% |
| #7 | Kendry Páez RC Strasbourg Alsace | 18 | 8 | €10.0M | €17.9M | +44% |
| #8 | Kader Meïté Stade Rennais FC | 18 | 8 | €5.0M | €8.9M | +44% |
| #9 | Hamidou Makalou Stade Brestois 29 | 19 | 7 | €300K | €536K | +44% |
| #10 | Guillaume Restes FC Toulouse | 21 | 5 | €20.0M | €35.7M | +44% |
| #11 | George Ilenikhena AS Monaco | 19 | 7 | €15.0M | €24.9M | +40% |
| #12 | Herba Guirassy FC Nantes | 19 | 7 | €1.0M | €1.7M | +40% |
| #13 | Julián Vignolo FC Toulouse | 19 | 7 | €400K | €665K | +40% |
| #14 | Senny Mayulu Paris Saint-Germain | 19 | 7 | €15.0M | €24.9M | +40% |
| #15 | Lucas Høgsberg RC Strasbourg Alsace | 19 | 7 | €3.5M | €5.8M | +40% |
| #16 | Samuel Amo-Ameyaw RC Strasbourg Alsace | 19 | 7 | €4.0M | €6.6M | +40% |
| #17 | Sidiki Chérif Angers SCO | 19 | 7 | €800K | €1.3M | +40% |
| #18 | Fodé Sylla RC Lens | 20 | 6 | €1.0M | €1.7M | +40% |
| #19 | Nidal Celik RC Lens | 19 | 7 | €1.8M | €3.0M | +40% |
| #20 | Ethan Mbappé LOSC Lille | 19 | 7 | €5.0M | €8.3M | +40% |
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 | €15.3M | €13.9M-16.8M | +28% | 118.5 |
| #3 | Robin Risser RC Lens | €1.9M | €1.7M-2.0M | +23% | 103.3 |
| #4 | Guillaume Restes FC Toulouse | €24.7M | €22.4M-27.0M | +23% | 103.3 |
| #5 | Ousmane Ba FC Metz | €172K | €158K-186K | +15% | 79.9 |
| #6 | Kader Meïté Stade Rennais FC | €6.2M | €5.3M-7.0M | +23% | 68.9 |
| #7 | Ibrahim Mbaye Paris Saint-Germain | €3.7M | €3.2M-4.2M | +23% | 68.9 |
| #8 | Hamidou Makalou Stade Brestois 29 | €370K | €319K-422K | +23% | 68.9 |
| #9 | Ayyoub Bouaddi LOSC Lille | €34.6M | €29.8M-39.3M | +23% | 68.9 |
| #10 | Désiré Doué Paris Saint-Germain | €107.4M | €92.6M-122.2M | +19% | 58.7 |
| #11 | Warren Zaïre-Emery Paris Saint-Germain | €65.6M | €56.6M-74.7M | +19% | 58.7 |
| #12 | Herba Guirassy FC Nantes | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #13 | Samuel Amo-Ameyaw RC Strasbourg Alsace | €4.8M | €4.1M-5.4M | +19% | 58.0 |
| #14 | Fodé Sylla RC Lens | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #15 | Rabby Nzingoula RC Strasbourg Alsace | €3.0M | €2.6M-3.4M | +19% | 58.0 |
| #16 | Ethan Mbappé LOSC Lille | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #17 | Julián Vignolo FC Toulouse | €476K | €411K-542K | +19% | 58.0 |
| #18 | Lucas Høgsberg RC Strasbourg Alsace | €4.2M | €3.6M-4.7M | +19% | 58.0 |
| #19 | Sidiki Chérif Angers SCO | €953K | €821K-1.1M | +19% | 58.0 |
| #20 | Nidal Celik RC Lens | €2.1M | €1.8M-2.4M | +19% | 58.0 |
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 player 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)
Stade Rennais FC's Jérémy Jacquet in the U21 age bracket has the highest Age-Share Concentration at +-2.3%. That means Désiré Doué captures 25.6% of total market value while representing only 27.9% of players in their age group—showing dominant elite status.
In second is AS Monaco's George Ilenikhena with a +-2.3% ASC (25.6% value share vs 27.9% player share in U21 bracket). Third is Mathis Amougou of RC Strasbourg Alsace with a +-2.3% ASC (25.6% value vs 27.9% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-2.3% ASC means the player captures -2.3% 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 | Jérémy Jacquet Stade Rennais FC | U21 | 25.6% | 27.9% | -2.3% |
| #2 | George Ilenikhena AS Monaco | U21 | 25.6% | 27.9% | -2.3% |
| #3 | Mathis Amougou RC Strasbourg Alsace | U21 | 25.6% | 27.9% | -2.3% |
| #4 | Justin Bourgault Stade Brestois 29 | U21 | 25.6% | 27.9% | -2.3% |
| #5 | Renato Marin Paris Saint-Germain | U21 | 25.6% | 27.9% | -2.3% |
| #6 | Kendry Páez RC Strasbourg Alsace | U21 | 25.6% | 27.9% | -2.3% |
| #7 | Rabby Nzingoula RC Strasbourg Alsace | U21 | 25.6% | 27.9% | -2.3% |
| #8 | Emmanuel Biumla Angers SCO | U21 | 25.6% | 27.9% | -2.3% |
| #9 | Noah Edjouma FC Toulouse | U21 | 25.6% | 27.9% | -2.3% |
| #10 | Ayyoub Bouaddi LOSC Lille | U21 | 25.6% | 27.9% | -2.3% |
| #11 | Herba Guirassy FC Nantes | U21 | 25.6% | 27.9% | -2.3% |
| #12 | Louis Leroux FC Nantes | U21 | 25.6% | 27.9% | -2.3% |
| #13 | Juma Bah OGC Nice | U21 | 25.6% | 27.9% | -2.3% |
| #14 | Kader Meïté Stade Rennais FC | U21 | 25.6% | 27.9% | -2.3% |
| #15 | Darryl Bakola Olympique Marseille | U21 | 25.6% | 27.9% | -2.3% |
| #16 | Mahamadou Nagida Stade Rennais FC | U21 | 25.6% | 27.9% | -2.3% |
| #17 | Ibrahim Mbaye Paris Saint-Germain | U21 | 25.6% | 27.9% | -2.3% |
| #18 | Hamidou Makalou Stade Brestois 29 | U21 | 25.6% | 27.9% | -2.3% |
| #19 | Julián Vignolo FC Toulouse | U21 | 25.6% | 27.9% | -2.3% |
| #20 | Stanis Idumbo AS Monaco | U21 | 25.6% | 27.9% | -2.3% |
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: 23 immediate targets, 106 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 €800K. 0 undervalued, 4 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Kader Meïté Stade Rennais FC | €5.0M | €4.0M | -1.00 | Good Value |
Warren Zaïre-Emery Paris Saint-Germain | €55.0M | €4.0M | -1.00 | Good Value |
Ethan Mbappé LOSC Lille | €5.0M | €4.0M | -1.00 | Good Value |
Juma Bah OGC Nice | €6.0M | €4.0M | -0.80 | Good Value |
Arthur Avom FC Lorient | €5.0M | €4.0M | -0.67 | Good Value |
Sadibou Sané FC Metz | €5.0M | €4.0M | -0.67 | Good Value |
Ansu Fati AS Monaco | €5.0M | €4.0M | -0.67 | Good Value |
Sékou Mara AJ Auxerre | €5.0M | €4.0M | -0.67 | Good Value |
Bilal Nadir Olympique Marseille | €5.0M | €4.0M | -0.67 | Good Value |
Darryl Bakola Olympique Marseille | €200K | €4.0M | -0.59 | Good Value |
Hamidou Makalou Stade Brestois 29 | €300K | €4.0M | -0.53 | Good Value |
Julián Vignolo FC Toulouse | €400K | €4.0M | -0.47 | Fair Value |
Christian Mawissa AS Monaco | €15.0M | €4.0M | -0.43 | Fair Value |
Ngal'ayel Mukau LOSC Lille | €15.0M | €4.0M | -0.43 | Fair Value |
Quentin Merlin Stade Rennais FC | €15.0M | €4.0M | -0.43 | Fair Value |
Mohamed-Ali Cho OGC Nice | €15.0M | €4.0M | -0.43 | Fair Value |
Matías Fernández-Pardo LOSC Lille | €15.0M | €4.0M | -0.43 | Fair Value |
Tiago Santos LOSC Lille | €15.0M | €4.0M | -0.43 | Fair Value |
Ernest Nuamah Olympique Lyon | €15.0M | €4.0M | -0.43 | Fair Value |
Ousmane Ba FC Metz | €150K | €4.0M | -0.42 | Fair Value |