Best U23 Young Players in the La Liga
94 players aged 23 or under · ranked by Analytical Strength Score
Best Young Players in the La Liga (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: La Liga Young Players 2022-23
Our database tracked 94 La Liga Young Players in the 2022-23 season, representing 18 clubs with a combined market value of €1.9B. The average market value for La Liga Young Players was €20.2M, with the average age at 21.9 years old.
The most valuable young player in the La Liga was Pedri, worth €140.0M and played for FC Barcelona at 23 years old. The top 5 Young Players averaged €108.0M in market value, including Jude Bellingham and Nico Williams.
Age distribution showed the youngest tracked young player was Lamine Yamal (18 years, FC Barcelona, €200.0M), while the oldest was Pedri (23 years, FC Barcelona, €140.0M). Research shows Young Players typically peak at age 26-27.
Historical analysis showed 94 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 La Liga 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 La Liga
Interactive bubble chart showing predicted 2-year growth vs current age for all La Liga Young Players. Identify undervalued assets and track market momentum across 18 clubs with €1.9B combined value.
Age Distribution: La Liga Young Players
The La Liga ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (83 players, 88% of market). The 21-23 age group holds the most value at €1.5B, averaging €17.6M per player.
Top Young Players by Age Bracket
U21 Years (11 players)
21-23 Years (83 players)
Market Value Distribution
Elite Tier Concentration
The top 10 Young Players (11% of players) control €975.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 14% of the La Liga ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: La Liga Young Players
Among 18 La Liga clubs, FC Barcelona leads with 9 Young Players worth €630.0M (averaging €70.0M per player). The top 10 clubs account for 70% of tracked Young Players.
FC Barcelona (9 Young Players)
Real Madrid (9 Young Players)
Atlético de Madrid (4 Young Players)
Athletic Bilbao (6 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.
Pedri
FC Barcelona • 23 years old
€121.1M
€140.0M
+15.6%
Expected: €156.0M
95.5
Jude Bellingham
Real Madrid • 22 years old
€155.7M
€180.0M
+15.6%
Expected: €198.3M
94.4
Nico Williams
Athletic Bilbao • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
93.2
Dean Huijsen
Real Madrid • 21 years old
€60.5M
€70.0M
+15.6%
Expected: €80.3M
92.2
Pau Cubarsí
FC Barcelona • 19 years old
€69.2M
€80.0M
+15.6%
Expected: €99.1M
91.1
Alejandro Balde
FC Barcelona • 22 years old
€51.9M
€60.0M
+15.6%
Expected: €66.1M
90.8
Lamine Yamal
FC Barcelona • 18 years old
€173.0M
€200.0M
+15.6%
Expected: €257.0M
90.1
Fermín López
FC Barcelona • 22 years old
€51.9M
€60.0M
+15.6%
Expected: €66.1M
89.8
Pablo Barrios
Atlético de Madrid • 22 years old
€47.6M
€55.0M
+15.6%
Expected: €60.6M
89.6
Arda Güler
Real Madrid • 21 years old
€51.9M
€60.0M
+15.6%
Expected: €68.8M
89.2
Eduardo Camavinga
Real Madrid • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.7M
89.2
Álvaro Carreras
Real Madrid • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.7M
89.2
Franco Mastantuono
Real Madrid • 18 years old
€43.2M
€50.0M
+15.6%
Expected: €64.3M
86.1
Gavi
FC Barcelona • 21 years old
€34.6M
€40.0M
+15.6%
Expected: €45.9M
85.2
Giuliano Simeone
Atlético de Madrid • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
84.6
Endrick
Real Madrid • 19 years old
€30.3M
€35.0M
+15.6%
Expected: €43.4M
82.3
Marc Casadó
FC Barcelona • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €33.1M
79.4
Raúl Asencio
Real Madrid • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
79.2
Mikel Jauregizar
Athletic Bilbao • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €31.8M
78.5
Vitor Reis
Girona FC • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
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)
Real Madrid's Jude Bellingham at 22 years old has the highest Pre-Peak Value Efficiency at 30.00×. That means Jude Bellingham is valued 30.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is FC Barcelona's Pedri, who is 23 years old, with a 23.33× PPVE. Third is Lamine Yamal of FC Barcelona, who is 18 years old with a 20.00× 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 | Jude Bellingham Real Madrid | 22 | 21-23 | €180.0M | €6.0M | 30.00× |
| #2 | Pedri FC Barcelona | 23 | 21-23 | €140.0M | €6.0M | 23.33× |
| #3 | Lamine Yamal FC Barcelona | 18 | U21 | €200.0M | €10.0M | 20.00× |
| #4 | Nico Williams Athletic Bilbao | 23 | 21-23 | €70.0M | €6.0M | 11.67× |
| #5 | Dean Huijsen Real Madrid | 21 | 21-23 | €70.0M | €6.0M | 11.67× |
| #6 | Alejandro Balde FC Barcelona | 22 | 21-23 | €60.0M | €6.0M | 10.00× |
| #7 | Fermín López FC Barcelona | 22 | 21-23 | €60.0M | €6.0M | 10.00× |
| #8 | Arda Güler Real Madrid | 21 | 21-23 | €60.0M | €6.0M | 10.00× |
| #9 | Pablo Barrios Atlético de Madrid | 22 | 21-23 | €55.0M | €6.0M | 9.17× |
| #10 | Eduardo Camavinga Real Madrid | 23 | 21-23 | €50.0M | €6.0M | 8.33× |
| #11 | Álvaro Carreras Real Madrid | 23 | 21-23 | €50.0M | €6.0M | 8.33× |
| #12 | Pau Cubarsí FC Barcelona | 19 | U21 | €80.0M | €10.0M | 8.00× |
| #13 | Gavi FC Barcelona | 21 | 21-23 | €40.0M | €6.0M | 6.67× |
| #14 | Giuliano Simeone Atlético de Madrid | 23 | 21-23 | €35.0M | €6.0M | 5.83× |
| #15 | Franco Mastantuono Real Madrid | 18 | U21 | €50.0M | €10.0M | 5.00× |
| #16 | Marc Casadó FC Barcelona | 22 | 21-23 | €30.0M | €6.0M | 5.00× |
| #17 | Raúl Asencio Real Madrid | 23 | 21-23 | €30.0M | €6.0M | 5.00× |
| #18 | Mikel Jauregizar Athletic Bilbao | 22 | 21-23 | €30.0M | €6.0M | 5.00× |
| #19 | Alberto Moleiro Villarreal CF | 22 | 21-23 | €25.0M | €6.0M | 4.17× |
| #20 | Renato Veiga Villarreal CF | 22 | 21-23 | €25.0M | €6.0M | 4.17× |
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)
FC Barcelona's Marc Bernal at 18 years old has the highest Return-to-Peak Potential at +48%. That means Marc Bernal is projected to appreciate 48% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is Girona FC's Vladyslav Krapyvtsov, who is 20 years old, with a +48% RPP (6 years to peak). Third is Franco Mastantuono of Real Madrid, 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 48% RPP means the player is expected to gain 48% 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 | Marc Bernal FC Barcelona | 18 | 8 | €10.0M | €19.2M | +48% |
| #2 | Vladyslav Krapyvtsov Girona FC | 20 | 6 | €400K | €769K | +48% |
| #3 | Franco Mastantuono Real Madrid | 18 | 8 | €50.0M | €89.4M | +44% |
| #4 | Lamine Yamal FC Barcelona | 18 | 8 | €200.0M | €357.4M | +44% |
| #5 | Endrick Real Madrid | 19 | 7 | €35.0M | €58.2M | +40% |
| #6 | Alejandro Iturbe Elche CF | 22 | 4 | €2.0M | €3.3M | +40% |
| #7 | Héctor Fort Elche CF | 19 | 7 | €10.0M | €16.6M | +40% |
| #8 | Pau Cubarsí FC Barcelona | 19 | 7 | €80.0M | €133.0M | +40% |
| #9 | Álex Padilla Athletic Bilbao | 22 | 4 | €3.0M | €5.0M | +40% |
| #10 | Lucas Bergström RCD Mallorca | 23 | 3 | €700K | €1.1M | +35% |
| #11 | Pablo Campos Levante UD | 23 | 3 | €1.5M | €2.3M | +35% |
| #12 | Vitor Reis Girona FC | 20 | 6 | €30.0M | €46.4M | +35% |
| #13 | Jon Martín Real Sociedad | 20 | 6 | €5.0M | €7.7M | +35% |
| #14 | Roony Bardghji FC Barcelona | 20 | 6 | €10.0M | €15.5M | +35% |
| #15 | Joel Roca Girona FC | 20 | 6 | €5.0M | €7.7M | +35% |
| #16 | Nobel Mendy Rayo Vallecano | 21 | 5 | €4.0M | €5.7M | +30% |
| #17 | Willy Kambwala Villarreal CF | 21 | 5 | €4.0M | €5.7M | +30% |
| #18 | Álvaro Rodríguez Elche CF | 21 | 5 | €4.0M | €5.7M | +30% |
| #19 | Rodrigo Mendoza Elche CF | 21 | 5 | €9.0M | €12.9M | +30% |
| #20 | Gavi FC Barcelona | 21 | 5 | €40.0M | €57.5M | +30% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Girona FC's Vladyslav Krapyvtsov has the highest Risk-Adjusted Upside at 118.5. That means Vladyslav Krapyvtsov has 28% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Elche CF's Alejandro Iturbe with a 100.1 RAU (19% upside, 0% uncertainty). Third is Álex Padilla of Athletic Bilbao with a 100.1 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 118.5 means the upside is 118.5× 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 | Vladyslav Krapyvtsov Girona FC | €512K | €464K-559K | +28% | 118.5 |
| #2 | Alejandro Iturbe Elche CF | €2.4M | €2.2M-2.6M | +19% | 100.1 |
| #3 | Álex Padilla Athletic Bilbao | €3.6M | €3.3M-3.9M | +19% | 100.1 |
| #4 | Franco Mastantuono Real Madrid | €64.3M | €55.4M-73.1M | +29% | 80.4 |
| #5 | Lamine Yamal FC Barcelona | €257.0M | €221.6M-292.5M | +29% | 80.4 |
| #6 | Lucas Bergström RCD Mallorca | €803K | €738K-867K | +15% | 79.9 |
| #7 | Pablo Campos Levante UD | €1.7M | €1.6M-1.9M | +15% | 79.9 |
| #8 | Marc Bernal FC Barcelona | €12.8M | €11.0M-14.6M | +28% | 79.0 |
| #9 | Pau Cubarsí FC Barcelona | €99.1M | €85.5M-112.8M | +24% | 70.0 |
| #10 | Endrick Real Madrid | €43.4M | €37.4M-49.4M | +24% | 70.0 |
| #11 | Héctor Fort Elche CF | €11.9M | €10.3M-13.6M | +19% | 58.0 |
| #12 | Dean Huijsen Real Madrid | €80.3M | €69.2M-91.4M | +15% | 46.6 |
| #13 | Gavi FC Barcelona | €45.9M | €39.6M-52.2M | +15% | 46.6 |
| #14 | Vitor Reis Girona FC | €34.4M | €29.7M-39.1M | +15% | 46.3 |
| #15 | Jon Martín Real Sociedad | €5.7M | €4.9M-6.5M | +15% | 46.3 |
| #16 | Roony Bardghji FC Barcelona | €11.5M | €9.9M-13.0M | +15% | 46.3 |
| #17 | Joel Roca Girona FC | €5.7M | €4.9M-6.5M | +15% | 46.3 |
| #18 | Eduardo Camavinga Real Madrid | €55.7M | €49.0M-62.4M | +11% | 42.8 |
| #19 | Álvaro Carreras Real Madrid | €55.7M | €49.0M-62.4M | +11% | 42.8 |
| #20 | Pedri FC Barcelona | €156.0M | €137.3M-174.7M | +11% | 42.8 |
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)
Getafe CF's Coba da Costa in the 21-23 age bracket has the highest Age-Share Concentration at +-11.2%. That means Pedri captures 77.1% of total market value while representing only 88.3% of players in their age group—showing dominant elite status.
In second is Rayo Vallecano's Nobel Mendy with a +-11.2% ASC (77.1% value share vs 88.3% player share in 21-23 bracket). Third is Karl Etta Eyong of Levante UD with a +-11.2% ASC (77.1% value vs 88.3% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-11.2% ASC means the player captures -11.2% 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 | Coba da Costa Getafe CF | 21-23 | 77.1% | 88.3% | -11.2% |
| #2 | Nobel Mendy Rayo Vallecano | 21-23 | 77.1% | 88.3% | -11.2% |
| #3 | Karl Etta Eyong Levante UD | 21-23 | 77.1% | 88.3% | -11.2% |
| #4 | Pau Navarro Villarreal CF | 21-23 | 77.1% | 88.3% | -11.2% |
| #5 | Pau Cabanes Villarreal CF | 21-23 | 77.1% | 88.3% | -11.2% |
| #6 | Javi Rodríguez Celta de Vigo | 21-23 | 77.1% | 88.3% | -11.2% |
| #7 | Matías Moreno Levante UD | 21-23 | 77.1% | 88.3% | -11.2% |
| #8 | Lucas Bergström RCD Mallorca | 21-23 | 77.1% | 88.3% | -11.2% |
| #9 | Luka Sucic Real Sociedad | 21-23 | 77.1% | 88.3% | -11.2% |
| #10 | Tanguy Nianzou Sevilla FC | 21-23 | 77.1% | 88.3% | -11.2% |
| #11 | Martim Neto Elche CF | 21-23 | 77.1% | 88.3% | -11.2% |
| #12 | Arsen Zakharyan Real Sociedad | 21-23 | 77.1% | 88.3% | -11.2% |
| #13 | Jude Bellingham Real Madrid | 21-23 | 77.1% | 88.3% | -11.2% |
| #14 | Matteo Ruggeri Atlético de Madrid | 21-23 | 77.1% | 88.3% | -11.2% |
| #15 | Pablo Campos Levante UD | 21-23 | 77.1% | 88.3% | -11.2% |
| #16 | Ilaix Moriba Celta de Vigo | 21-23 | 77.1% | 88.3% | -11.2% |
| #17 | Diego López Valencia CF | 21-23 | 77.1% | 88.3% | -11.2% |
| #18 | Alejandro Iturbe Elche CF | 21-23 | 77.1% | 88.3% | -11.2% |
| #19 | Fran Pérez Rayo Vallecano | 21-23 | 77.1% | 88.3% | -11.2% |
| #20 | Jesús Vázquez Valencia CF | 21-23 | 77.1% | 88.3% | -11.2% |
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: 9 immediate targets, 85 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 €80.0M. 0 undervalued, 6 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
David López RCD Mallorca | €500K | €9.0M | -1.05 | Good Value |
Vitor Reis Girona FC | €30.0M | €9.0M | -1.00 | Good Value |
Jon Martín Real Sociedad | €5.0M | €9.0M | -1.00 | Good Value |
Joel Roca Girona FC | €5.0M | €9.0M | -1.00 | Good Value |
Lucas Bergström RCD Mallorca | €700K | €9.0M | -0.95 | Good Value |
Pau Cabanes Villarreal CF | €800K | €9.0M | -0.89 | Good Value |
Javi Llabrés RCD Mallorca | €800K | €9.0M | -0.89 | Good Value |
Yago Santiago Elche CF | €800K | €9.0M | -0.89 | Good Value |
Martim Neto Elche CF | €5.0M | €9.0M | -0.75 | Good Value |
Nico Serrano Athletic Bilbao | €1.2M | €9.0M | -0.68 | Good Value |
Eduardo Camavinga Real Madrid | €50.0M | €9.0M | -0.67 | Good Value |
Álvaro Carreras Real Madrid | €50.0M | €9.0M | -0.67 | Good Value |
Tanguy Nianzou Sevilla FC | €1.5M | €9.0M | -0.53 | Good Value |
Pablo Campos Levante UD | €1.5M | €9.0M | -0.53 | Good Value |
Iker Benito CA Osasuna | €1.5M | €9.0M | -0.53 | Good Value |
Ilaix Moriba Celta de Vigo | €6.0M | €9.0M | -0.50 | Fair Value |
Pablo Torre RCD Mallorca | €6.0M | €9.0M | -0.50 | Fair Value |
Roberto Fernández RCD Espanyol Barcelona | €6.0M | €9.0M | -0.50 | Fair Value |
Luca Koleosho RCD Espanyol Barcelona | €6.0M | €9.0M | -0.50 | Fair Value |
Unai Gómez Athletic Bilbao | €6.0M | €9.0M | -0.50 | Fair Value |