Best U23 Young Players in the Ligue 1
119 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Ligue 1 Young Players 2022-23
Our database tracked 119 Ligue 1 Young Players in the 2022-23 season, representing 20 clubs with a combined market value of €1.6B. The average market value for Ligue 1 Young Players was €13.1M, with the average age at 21 years old.
The most valuable young player in the Ligue 1 was Nuno Mendes, worth €75.0M and played for Paris Saint-Germain at 23 years old. The top 5 Young Players averaged €79.0M in market value, including Bradley Barcola and João Neves.
Age distribution showed the youngest tracked young player was Ayyoub Bouaddi (18 years, LOSC Lille, €40.0M), while the oldest was Nuno Mendes (23 years, Paris Saint-Germain, €75.0M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 119 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 20 clubs with €1.6B 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 (88 players, 74% of market). The 21-23 age group holds the most value at €1.2B, averaging €13.1M per player.
Top Young Players by Age Bracket
U21 Years (31 players)
21-23 Years (88 players)
Market Value Distribution
Elite Tier Concentration
The top 12 Young Players (10% of players) control €651.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 5% of the Ligue 1 ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Ligue 1 Young Players
Among 20 Ligue 1 clubs, Paris Saint-Germain leads with 10 Young Players worth €530.5M (averaging €53.0M per player). The top 10 clubs account for 68% of tracked Young Players.
Paris Saint-Germain (10 Young Players)
RC Strasbourg Alsace (19 Young Players)
LOSC Lille (10 Young Players)
AS Monaco (10 Young Players)
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
Bradley Barcola
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
€95.1M
€110.0M
+15.6%
Expected: €126.2M
93.3
Désiré Doué
Paris Saint-Germain • 21 years old
€77.8M
€90.0M
+15.6%
Expected: €103.3M
93.3
Ilya Zabarnyi
Paris Saint-Germain • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.7M
89.2
Warren Zaïre-Emery
Paris Saint-Germain • 20 years old
€43.2M
€50.0M
+15.6%
Expected: €59.7M
87.4
Senny Mayulu
Paris Saint-Germain • 20 years old
€34.6M
€40.0M
+15.6%
Expected: €47.7M
84.6
Ayyoub Bouaddi
LOSC Lille • 18 years old
€34.6M
€40.0M
+15.6%
Expected: €51.4M
83.2
Ethan Nwaneri
Olympique Marseille • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €49.6M
82.9
Lamine Camara
AS Monaco • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €31.8M
78.5
Emmanuel Emegha
RC Strasbourg Alsace • 23 years old
€24.2M
€28.0M
+15.6%
Expected: €30.0M
78.2
Arthur Vermeeren
Olympique Marseille • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
77.9
Malick Fofana
Olympique Lyon • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €33.1M
77.8
Joaquín Panichelli
RC Strasbourg Alsace • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €26.8M
76.8
Valentín Barco
RC Strasbourg Alsace • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
75.6
Mika Biereth
AS Monaco • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Hákon Arnar Haraldsson
LOSC Lille • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €24.5M
75.0
Mamadou Sarr
RC Strasbourg Alsace • 20 years old
€21.6M
€25.0M
+15.6%
Expected: €28.7M
75.0
Endrick
Olympique Lyon • 19 years old
€21.6M
€25.0M
+15.6%
Expected: €29.8M
74.4
Matthis Abline
FC Nantes • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
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 João Neves at 21 years old has the highest Pre-Peak Value Efficiency at 15.71×. That means João Neves is valued 15.71× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's Désiré Doué, who is 21 years old, with a 12.86× PPVE. Third is Nuno Mendes of Paris Saint-Germain, who is 23 years old with a 10.71× 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 15.71× means the player is worth 1471% 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 | João Neves Paris Saint-Germain | 21 | 21-23 | €110.0M | €7.0M | 15.71× |
| #2 | Désiré Doué Paris Saint-Germain | 21 | 21-23 | €90.0M | €7.0M | 12.86× |
| #3 | Nuno Mendes Paris Saint-Germain | 23 | 21-23 | €75.0M | €7.0M | 10.71× |
| #4 | Bradley Barcola Paris Saint-Germain | 23 | 21-23 | €70.0M | €7.0M | 10.00× |
| #5 | Ilya Zabarnyi Paris Saint-Germain | 23 | 21-23 | €50.0M | €7.0M | 7.14× |
| #6 | Warren Zaïre-Emery Paris Saint-Germain | 20 | U21 | €50.0M | €8.0M | 6.25× |
| #7 | Ayyoub Bouaddi LOSC Lille | 18 | U21 | €40.0M | €8.0M | 5.00× |
| #8 | Ethan Nwaneri Olympique Marseille | 19 | U21 | €40.0M | €8.0M | 5.00× |
| #9 | Senny Mayulu Paris Saint-Germain | 20 | U21 | €40.0M | €8.0M | 5.00× |
| #10 | Malick Fofana Olympique Lyon | 21 | 21-23 | €30.0M | €7.0M | 4.29× |
| #11 | Lamine Camara AS Monaco | 22 | 21-23 | €30.0M | €7.0M | 4.29× |
| #12 | Emmanuel Emegha RC Strasbourg Alsace | 23 | 21-23 | €28.0M | €7.0M | 4.00× |
| #13 | Arthur Vermeeren Olympique Marseille | 21 | 21-23 | €28.0M | €7.0M | 4.00× |
| #14 | Joaquín Panichelli RC Strasbourg Alsace | 23 | 21-23 | €25.0M | €7.0M | 3.57× |
| #15 | Valentín Barco RC Strasbourg Alsace | 21 | 21-23 | €25.0M | €7.0M | 3.57× |
| #16 | Mika Biereth AS Monaco | 23 | 21-23 | €22.0M | €7.0M | 3.14× |
| #17 | Hákon Arnar Haraldsson LOSC Lille | 23 | 21-23 | €22.0M | €7.0M | 3.14× |
| #18 | Ibrahim Mbaye Paris Saint-Germain | 18 | U21 | €25.0M | €8.0M | 3.13× |
| #19 | Mamadou Sarr RC Strasbourg Alsace | 20 | U21 | €25.0M | €8.0M | 3.13× |
| #20 | Endrick Olympique Lyon | 19 | U21 | €25.0M | €8.0M | 3.13× |
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)
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 Ibrahim Mbaye of Paris Saint-Germain, 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 | €15.0M | €28.8M | +48% |
| #3 | Ibrahim Mbaye Paris Saint-Germain | 18 | 8 | €25.0M | €44.7M | +44% |
| #4 | Hamidou Makalou Stade Brestois 29 | 19 | 7 | €800K | €1.4M | +44% |
| #5 | Ayyoub Bouaddi LOSC Lille | 18 | 8 | €40.0M | €71.5M | +44% |
| #6 | Robin Risser RC Lens | 21 | 5 | €10.0M | €17.9M | +44% |
| #7 | Guillaume Restes FC Toulouse | 21 | 5 | €20.0M | €35.7M | +44% |
| #8 | Julián Vignolo FC Toulouse | 19 | 7 | €1.0M | €1.7M | +40% |
| #9 | Nidal Celik RC Lens | 19 | 7 | €1.0M | €1.7M | +40% |
| #10 | Ethan Mbappé LOSC Lille | 19 | 7 | €9.0M | €15.0M | +40% |
| #11 | Samuel Amo-Ameyaw RC Strasbourg Alsace | 19 | 7 | €8.0M | €13.3M | +40% |
| #12 | Endrick Olympique Lyon | 19 | 7 | €25.0M | €41.5M | +40% |
| #13 | Fodé Sylla RC Lens | 20 | 6 | €1.0M | €1.7M | +40% |
| #14 | George Ilenikhena AS Monaco | 19 | 7 | €12.0M | €19.9M | +40% |
| #15 | Herba Guirassy FC Nantes | 19 | 7 | €6.0M | €10.0M | +40% |
| #16 | Ethan Nwaneri Olympique Marseille | 19 | 7 | €40.0M | €66.5M | +40% |
| #17 | Lucas Høgsberg RC Strasbourg Alsace | 19 | 7 | €12.0M | €19.9M | +40% |
| #18 | Mahamadou Nagida Stade Rennais FC | 20 | 6 | €1.5M | €2.3M | +35% |
| #19 | Paris Brunner AS Monaco | 20 | 6 | €1.5M | €2.3M | +35% |
| #20 | Ngal'ayel Mukau LOSC Lille | 21 | 5 | €12.0M | €18.5M | +35% |
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 | Ayyoub Bouaddi LOSC Lille | €51.4M | €44.3M-58.5M | +29% | 80.4 |
| #6 | Ibrahim Mbaye Paris Saint-Germain | €30.9M | €26.6M-35.1M | +23% | 68.9 |
| #7 | Hamidou Makalou Stade Brestois 29 | €988K | €852K-1.1M | +23% | 68.9 |
| #8 | Warren Zaïre-Emery Paris Saint-Germain | €59.7M | €51.4M-67.9M | +19% | 58.7 |
| #9 | Senny Mayulu Paris Saint-Germain | €47.7M | €41.1M-54.3M | +19% | 58.7 |
| #10 | Julián Vignolo FC Toulouse | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #11 | Nidal Celik RC Lens | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #12 | Samuel Amo-Ameyaw RC Strasbourg Alsace | €9.5M | €8.2M-10.8M | +19% | 58.0 |
| #13 | Fodé Sylla RC Lens | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #14 | Ethan Mbappé LOSC Lille | €10.7M | €9.2M-12.2M | +19% | 58.0 |
| #15 | George Ilenikhena AS Monaco | €14.3M | €12.3M-16.3M | +19% | 58.0 |
| #16 | Herba Guirassy FC Nantes | €7.1M | €6.2M-8.1M | +19% | 58.0 |
| #17 | Lucas Høgsberg RC Strasbourg Alsace | €14.3M | €12.3M-16.3M | +19% | 58.0 |
| #18 | Endrick Olympique Lyon | €29.8M | €25.7M-33.9M | +19% | 58.0 |
| #19 | Ethan Nwaneri Olympique Marseille | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #20 | Désiré Doué Paris Saint-Germain | €103.3M | €89.0M-117.5M | +15% | 46.6 |
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 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 Rennais FC's Jérémy Jacquet in the U21 age bracket has the highest Age-Share Concentration at +-0.3%. That means Warren Zaïre-Emery captures 25.8% of total market value while representing only 26.1% of players in their age group-showing dominant elite status.
In second is AS Monaco's George Ilenikhena with a +-0.3% ASC (25.8% value share vs 26.1% player share in U21 bracket). Third is Mathis Amougou of RC Strasbourg Alsace with a +-0.3% ASC (25.8% value vs 26.1% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-0.3% ASC means the player captures -0.3% 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 | 25.8% | 26.1% | -0.3% |
| #2 | George Ilenikhena AS Monaco | U21 | 25.8% | 26.1% | -0.3% |
| #3 | Mathis Amougou RC Strasbourg Alsace | U21 | 25.8% | 26.1% | -0.3% |
| #4 | Renato Marin Paris Saint-Germain | U21 | 25.8% | 26.1% | -0.3% |
| #5 | Noah Edjouma FC Toulouse | U21 | 25.8% | 26.1% | -0.3% |
| #6 | Ayyoub Bouaddi LOSC Lille | U21 | 25.8% | 26.1% | -0.3% |
| #7 | Herba Guirassy FC Nantes | U21 | 25.8% | 26.1% | -0.3% |
| #8 | Louis Leroux FC Nantes | U21 | 25.8% | 26.1% | -0.3% |
| #9 | Juma Bah OGC Nice | U21 | 25.8% | 26.1% | -0.3% |
| #10 | Samir El Mourabet RC Strasbourg Alsace | U21 | 25.8% | 26.1% | -0.3% |
| #11 | Mahamadou Nagida Stade Rennais FC | U21 | 25.8% | 26.1% | -0.3% |
| #12 | Ibrahim Mbaye Paris Saint-Germain | U21 | 25.8% | 26.1% | -0.3% |
| #13 | Hamidou Makalou Stade Brestois 29 | U21 | 25.8% | 26.1% | -0.3% |
| #14 | Julián Vignolo FC Toulouse | U21 | 25.8% | 26.1% | -0.3% |
| #15 | Stanis Idumbo AS Monaco | U21 | 25.8% | 26.1% | -0.3% |
| #16 | Noah Nartey Olympique Lyon | U21 | 25.8% | 26.1% | -0.3% |
| #17 | Warren Zaïre-Emery Paris Saint-Germain | U21 | 25.8% | 26.1% | -0.3% |
| #18 | Lucas Michal AS Monaco | U21 | 25.8% | 26.1% | -0.3% |
| #19 | Nidal Celik RC Lens | U21 | 25.8% | 26.1% | -0.3% |
| #20 | Mike Penders RC Strasbourg Alsace | U21 | 25.8% | 26.1% | -0.3% |
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: 19 immediate targets, 100 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 €1.8M. 1 undervalued, 7 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mike Penders RC Strasbourg Alsace | €15.0M | €8.0M | -2.00 | Undervalued |
Stanis Idumbo AS Monaco | €5.0M | €8.0M | -1.50 | Good Value |
Nhoa Sangui Paris FC | €5.0M | €8.0M | -1.50 | Good Value |
Junior Diaz Stade Brestois 29 | €5.0M | €8.0M | -1.33 | Good Value |
Tom Louchet OGC Nice | €5.0M | €8.0M | -1.33 | Good Value |
Pablo Pagis FC Lorient | €5.0M | €8.0M | -1.33 | Good Value |
Afonso Moreira Olympique Lyon | €5.0M | €8.0M | -1.33 | Good Value |
Christian Mawissa AS Monaco | €15.0M | €8.0M | -1.25 | Good Value |
Charlie Cresswell FC Toulouse | €15.0M | €8.0M | -1.25 | Good Value |
Ilya Zabarnyi Paris Saint-Germain | €50.0M | €8.0M | -1.25 | Good Value |
Mamadou Sangaré RC Lens | €15.0M | €8.0M | -1.25 | Good Value |
Djaoui Cissé Stade Rennais FC | €15.0M | €8.0M | -1.25 | Good Value |
Jérémy Jacquet Stade Rennais FC | €20.0M | €8.0M | -1.00 | Good Value |
Renato Marin Paris Saint-Germain | €500K | €8.0M | -1.00 | Good Value |
Herba Guirassy FC Nantes | €6.0M | €8.0M | -1.00 | Good Value |
Junior Mwanga RC Strasbourg Alsace | €7.0M | €8.0M | -0.67 | Good Value |
Johann Lepenant FC Nantes | €7.0M | €8.0M | -0.67 | Good Value |
Andrew Omobamidele RC Strasbourg Alsace | €7.0M | €8.0M | -0.67 | Good Value |
Soumaïla Coulibaly Stade Brestois 29 | €7.0M | €8.0M | -0.67 | Good Value |
Kamory Doumbia Stade Brestois 29 | €7.0M | €8.0M | -0.67 | Good Value |