Best U23 Young Attacking Midfielders in the La Liga
7 players aged 23 or under · ranked by Analytical Strength Score
Best Young Attacking Midfielders in the La Liga (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: La Liga Young Attacking Midfielders 2024-25
Our database tracked 7 La Liga Young Attacking Midfielders in the 2024-25 season, representing 5 clubs with a combined market value of €327.5M. The average market value for La Liga Young Attacking Midfielders was €46.8M, with the average age at 22.0 years old.
The most valuable young attacking midfielder in the La Liga was Jude Bellingham, worth €180.0M and played for Real Madrid at 22 years old. The top 5 Young Attacking Midfielders averaged €63.1M in market value, including Fermín López and Arda Güler.
Age distribution showed the youngest tracked young attacking midfielder was Arda Güler (21 years, Real Madrid, €60.0M), while the oldest was Pablo Torre (23 years, RCD Mallorca, €6.0M). Research shows Young Attacking Midfielders typically peak at age 26.
Historical analysis showed 7 Young Attacking Midfielders (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 Attacking Midfielders remained actively developing with emerging talent in the 2024-25 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 5 clubs with €327.5M combined value.
Age Distribution: La Liga Young Attacking Midfielders
The La Liga CAM market shows 1 distinct age segments, with the largest cohort in the 21-23 bracket (7 players, 100% of market). The 21-23 age group holds the most value at €327.5M, averaging €46.8M per player.
Top Young Attacking Midfielders by Age Bracket
21-23 Years (7 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Attacking Midfielders (14% of players) control €180.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 43% of the La Liga CAM pool.
Elite (€50M+)
Mid (€5-15M)
Club Distribution: La Liga Young Attacking Midfielders
Among 5 La Liga clubs, Real Madrid leads with 2 Young Attacking Midfielders worth €240.0M (averaging €120.0M per player). The top 10 clubs account for 100% of tracked Young Attacking Midfielders.
Real Madrid (2 Young Attacking Midfielders)
FC Barcelona (1 Young Attacking Midfielders)
Real Sociedad (2 Young Attacking Midfielders)
RCD Mallorca (1 Young Attacking Midfielders)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Jude Bellingham
Real Madrid • 22 years old
€155.7M
€180.0M
+15.6%
Expected: €198.3M
94.4
Fermín López
FC Barcelona • 22 years old
€51.9M
€60.0M
+15.6%
Expected: €66.1M
89.8
Arda Güler
Real Madrid • 21 years old
€51.9M
€60.0M
+15.6%
Expected: €68.8M
89.2
Pablo Marín
Real Sociedad • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.5M
58.3
Arsen Zakharyan
Real Sociedad • 22 years old
€6.5M
€7.5M
+15.6%
Expected: €7.9M
57.5
Pablo Torre
RCD Mallorca • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Unai Gómez
Athletic Bilbao • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.7
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 22.50×. That means Jude Bellingham is valued 22.50× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is FC Barcelona's Fermín López, who is 22 years old, with a 7.50× PPVE. Third is Arda Güler of Real Madrid, who is 21 years old with a 7.50× 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 22.50× means the player is worth 2150% 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 | €8.0M | 22.50× |
| #2 | Fermín López FC Barcelona | 22 | 21-23 | €60.0M | €8.0M | 7.50× |
| #3 | Arda Güler Real Madrid | 21 | 21-23 | €60.0M | €8.0M | 7.50× |
| #4 | Pablo Marín Real Sociedad | 22 | 21-23 | €8.0M | €8.0M | 1.00× |
| #5 | Arsen Zakharyan Real Sociedad | 22 | 21-23 | €7.5M | €8.0M | 0.94× |
| #6 | Pablo Torre RCD Mallorca | 23 | 21-23 | €6.0M | €8.0M | 0.75× |
| #7 | Unai Gómez Athletic Bilbao | 22 | 21-23 | €6.0M | €8.0M | 0.75× |
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)
Real Madrid's Arda Güler at 21 years old has the highest Return-to-Peak Potential at +30%. That means Arda Güler is projected to appreciate 30% as they reach their peak age in 5 years—representing significant upside before entering their prime.
In second is Real Sociedad's Arsen Zakharyan, who is 22 years old, with a +25% RPP (4 years to peak). Third is Fermín López of FC Barcelona, who is 22 years old with a +25% RPP (4 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 | Arda Güler Real Madrid | 21 | 5 | €60.0M | €86.2M | +30% |
| #2 | Arsen Zakharyan Real Sociedad | 22 | 4 | €7.5M | €10.0M | +25% |
| #3 | Fermín López FC Barcelona | 22 | 4 | €60.0M | €80.2M | +25% |
| #4 | Pablo Marín Real Sociedad | 22 | 4 | €8.0M | €10.7M | +25% |
| #5 | Jude Bellingham Real Madrid | 22 | 4 | €180.0M | €240.6M | +25% |
| #6 | Unai Gómez Athletic Bilbao | 22 | 4 | €6.0M | €8.0M | +25% |
| #7 | Pablo Torre RCD Mallorca | 23 | 3 | €6.0M | €7.5M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Real Madrid's Arda Güler has the highest Risk-Adjusted Upside at 37.3. That means Arda Güler has 15% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Real Madrid's Jude Bellingham with a 30.7 RAU (10% upside, 0% uncertainty). Third is Fermín López of FC Barcelona with a 30.7 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 37.3 means the upside is 37.3× 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 | Arda Güler Real Madrid | €68.8M | €57.0M-80.7M | +15% | 37.3 |
| #2 | Jude Bellingham Real Madrid | €198.3M | €168.5M-228.0M | +10% | 30.7 |
| #3 | Fermín López FC Barcelona | €66.1M | €56.2M-76.0M | +10% | 30.7 |
| #4 | Pablo Torre RCD Mallorca | €6.4M | €5.5M-7.4M | +7% | 22.0 |
| #5 | Pablo Marín Real Sociedad | €8.5M | €7.2M-9.7M | +6% | 18.4 |
| #6 | Unai Gómez Athletic Bilbao | €6.4M | €5.4M-7.3M | +6% | 18.4 |
| #7 | Arsen Zakharyan Real Sociedad | €7.9M | €6.7M-9.1M | +6% | 18.4 |
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 attacking midfielder 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)
Real Sociedad's Arsen Zakharyan in the 21-23 age bracket has the highest Age-Share Concentration at +0.0%. That means Jude Bellingham 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 Real Madrid's Jude Bellingham with a +0.0% ASC (100.0% value share vs 100.0% player share in 21-23 bracket). Third is Fermín López of FC Barcelona 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 | Arsen Zakharyan Real Sociedad | 21-23 | 100.0% | 100.0% | 0.0% |
| #2 | Jude Bellingham Real Madrid | 21-23 | 100.0% | 100.0% | 0.0% |
| #3 | Fermín López FC Barcelona | 21-23 | 100.0% | 100.0% | 0.0% |
| #4 | Pablo Torre RCD Mallorca | 21-23 | 100.0% | 100.0% | 0.0% |
| #5 | Unai Gómez Athletic Bilbao | 21-23 | 100.0% | 100.0% | 0.0% |
| #6 | Arda Güler Real Madrid | 21-23 | 100.0% | 100.0% | 0.0% |
| #7 | Pablo Marín Real Sociedad | 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, 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 €60.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Pablo Torre RCD Mallorca | €6.0M | €8.0M | -0.75 | Good Value |
Unai Gómez Athletic Bilbao | €6.0M | €8.0M | -0.75 | Good Value |
Arsen Zakharyan Real Sociedad | €7.5M | €8.0M | 0.00 | Fair Value |
Fermín López FC Barcelona | €60.0M | €8.0M | 0.00 | Fair Value |
Arda Güler Real Madrid | €60.0M | €8.0M | 0.00 | Fair Value |
Pablo Marín Real Sociedad | €8.0M | €8.0M | +0.25 | Fair Value |
Jude Bellingham Real Madrid | €180.0M | €8.0M | +1.00 | Above Market |