Best Attacking Midfielders in the La Liga (Mar 2026)
Ranked by Analytical Strength Score
Market Overview: La Liga Attacking Midfielders 2022-23
Our database tracked 23 La Liga Attacking Midfielders in the 2022-23 season, representing 12 clubs with a combined market value of €537.4M. The average market value for La Liga Attacking Midfielders was €23.4M, with the average age at 26.0 years old.
The most valuable attacking midfielder in the La Liga was Jude Bellingham, worth €180.0M and played for Real Madrid at 22 years old. The top 5 Attacking Midfielders averaged €84.0M in market value, including Fermín López and Oihan Sancet.
Age distribution showed the youngest tracked attacking midfielder was Arda Güler (21 years, Real Madrid, €60.0M), while the oldest was Óscar Trejo (37 years, Rayo Vallecano, €500K). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 11 Attacking Midfielders (48%) 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 Attacking Midfielders 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 12 clubs with €537.4M combined value.
Age Distribution: La Liga Attacking Midfielders
The La Liga CAM market shows 4 distinct age segments, with the largest cohort in the 21-23 bracket (7 players, 30% of market). The 21-23 age group holds the most value at €327.5M, averaging €46.8M per player.
Top Attacking Midfielders by Age Bracket
21-23 Years (7 players)
24-26 Years (7 players)
27-29 Years (5 players)
30+ Years (4 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Attacking Midfielders (13% of players) control €300.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 22% of the La Liga CAM pool.
Elite (€50M+)
High (€15-30M)
Mid (€5-15M)
Club Distribution: La Liga Attacking Midfielders
Among 12 La Liga clubs, Real Madrid leads with 2 Attacking Midfielders worth €240.0M (averaging €120.0M per player). The top 10 clubs account for 83% of tracked Attacking Midfielders.
Real Madrid (2 Attacking Midfielders)
FC Barcelona (2 Attacking Midfielders)
Athletic Bilbao (2 Attacking Midfielders)
Real Sociedad (3 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
Oihan Sancet
Athletic Bilbao • 25 years old
€51.9M
€60.0M
+15.6%
Expected: €61.0M
89.4
Arda Güler
Real Madrid • 21 years old
€51.9M
€60.0M
+15.6%
Expected: €68.8M
89.2
Dani Olmo
FC Barcelona • 27 years old
€63.4M
€60.0M
-5.4%
Expected: €54.4M
89.1
Brais Méndez
Real Sociedad • 29 years old
€23.2M
€18.0M
-22.6%
Expected: €15.4M
71.3
Aimar Oroz
CA Osasuna • 24 years old
€13.0M
€15.0M
+15.6%
Expected: €16.0M
69.9
Giovani Lo Celso
Real Betis Balompié • 29 years old
€19.4M
€15.0M
-22.6%
Expected: €12.9M
69.0
Lucas Beltrán
Valencia CF • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
61.1
André Almeida
Valencia CF • 25 years old
€8.6M
€10.0M
+15.6%
Expected: €9.8M
60.7
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 • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.7
Unai Gómez
Athletic Bilbao • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.7
Iván Martín
Girona FC • 27 years old
€6.3M
€6.0M
-5.4%
Expected: €5.2M
54.0
Isco
Real Betis Balompié • 33 years old
€6.5M
€5.0M
-22.6%
Expected: €4.4M
52.0
Thomas Lemar
Girona FC • 30 years old
€3.9M
€3.0M
-22.6%
Expected: €2.5M
41.9
Calebe
Deportivo Alavés • 25 years old
€1.7M
€2.0M
+15.6%
Expected: €2.0M
37.2
Luka Ilic
Real Oviedo • 26 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
36.8
Randy Nteka
Rayo Vallecano • 28 years old
€1.9M
€1.5M
-22.6%
Expected: €1.3M
33.3
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)
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 | Oihan Sancet Athletic Bilbao | 25 | 24-26 | €60.0M | €10.0M | 6.00× |
| #5 | Aimar Oroz CA Osasuna | 24 | 24-26 | €15.0M | €10.0M | 1.50× |
| #6 | André Almeida Valencia CF | 25 | 24-26 | €10.0M | €10.0M | 1.00× |
| #7 | Lucas Beltrán Valencia CF | 24 | 24-26 | €10.0M | €10.0M | 1.00× |
| #8 | Pablo Marín Real Sociedad | 22 | 21-23 | €8.0M | €8.0M | 1.00× |
| #9 | Arsen Zakharyan Real Sociedad | 22 | 21-23 | €7.5M | €8.0M | 0.94× |
| #10 | Pablo Torre RCD Mallorca | 22 | 21-23 | €6.0M | €8.0M | 0.75× |
| #11 | Unai Gómez Athletic Bilbao | 22 | 21-23 | €6.0M | €8.0M | 0.75× |
| #12 | Calebe Deportivo Alavés | 25 | 24-26 | €2.0M | €10.0M | 0.20× |
| #13 | Brandon Dominguès Real Oviedo | 25 | 24-26 | €700K | €10.0M | 0.07× |
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 | Pablo Torre RCD Mallorca | 22 | 4 | €6.0M | €8.0M | +25% |
| #7 | Unai Gómez Athletic Bilbao | 22 | 4 | €6.0M | €8.0M | +25% |
| #8 | Lucas Beltrán Valencia CF | 24 | 2 | €10.0M | €11.6M | +14% |
| #9 | Aimar Oroz CA Osasuna | 24 | 2 | €15.0M | €17.3M | +14% |
| #10 | Brandon Dominguès Real Oviedo | 25 | 1 | €700K | €753K | +7% |
| #11 | Oihan Sancet Athletic Bilbao | 25 | 1 | €60.0M | €64.5M | +7% |
| #12 | André Almeida Valencia CF | 25 | 1 | €10.0M | €10.8M | +7% |
| #13 | Calebe Deportivo Alavés | 25 | 1 | €2.0M | €2.2M | +7% |
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 | Aimar Oroz CA Osasuna | €16.0M | €13.6M-18.4M | +7% | 20.6 |
| #5 | Pablo Marín Real Sociedad | €8.5M | €7.2M-9.7M | +6% | 18.4 |
| #6 | Pablo Torre RCD Mallorca | €6.4M | €5.4M-7.3M | +6% | 18.4 |
| #7 | Unai Gómez Athletic Bilbao | €6.4M | €5.4M-7.3M | +6% | 18.4 |
| #8 | Arsen Zakharyan Real Sociedad | €7.9M | €6.7M-9.1M | +6% | 18.4 |
| #9 | Luka Ilic Real Oviedo | €2.1M | €1.8M-2.4M | +3% | 9.6 |
| #10 | Lucas Beltrán Valencia CF | €10.2M | €8.7M-11.8M | +2% | 7.8 |
| #11 | Oihan Sancet Athletic Bilbao | €61.0M | €51.9M-70.2M | +2% | 5.7 |
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: attacking midfielder 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)
Real Sociedad's Arsen Zakharyan in the 21-23 age bracket has the highest Age-Share Concentration at +30.5%. That means Jude Bellingham captures 60.9% of total market value while representing only 30.4% of players in their age group—showing dominant elite status.
In second is Real Madrid's Jude Bellingham with a +30.5% ASC (60.9% value share vs 30.4% player share in 21-23 bracket). Third is Fermín López of FC Barcelona with a +30.5% ASC (60.9% value vs 30.4% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +30.5% ASC means the player captures 30.5% 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 | 60.9% | 30.4% | +30.5% |
| #2 | Jude Bellingham Real Madrid | 21-23 | 60.9% | 30.4% | +30.5% |
| #3 | Fermín López FC Barcelona | 21-23 | 60.9% | 30.4% | +30.5% |
| #4 | Pablo Torre RCD Mallorca | 21-23 | 60.9% | 30.4% | +30.5% |
| #5 | Unai Gómez Athletic Bilbao | 21-23 | 60.9% | 30.4% | +30.5% |
| #6 | Arda Güler Real Madrid | 21-23 | 60.9% | 30.4% | +30.5% |
| #7 | Pablo Marín Real Sociedad | 21-23 | 60.9% | 30.4% | +30.5% |
| #8 | Denis Suárez Deportivo Alavés | 30+ | 1.8% | 17.4% | -15.6% |
| #9 | Thomas Lemar Girona FC | 30+ | 1.8% | 17.4% | -15.6% |
| #10 | Óscar Trejo Rayo Vallecano | 30+ | 1.8% | 17.4% | -15.6% |
| #11 | Isco Real Betis Balompié | 30+ | 1.8% | 17.4% | -15.6% |
| #12 | André Almeida Valencia CF | 24-26 | 18.6% | 30.4% | -11.9% |
| #13 | Luka Ilic Real Oviedo | 24-26 | 18.6% | 30.4% | -11.9% |
| #14 | Oihan Sancet Athletic Bilbao | 24-26 | 18.6% | 30.4% | -11.9% |
| #15 | Lucas Beltrán Valencia CF | 24-26 | 18.6% | 30.4% | -11.9% |
| #16 | Aimar Oroz CA Osasuna | 24-26 | 18.6% | 30.4% | -11.9% |
| #17 | Calebe Deportivo Alavés | 24-26 | 18.6% | 30.4% | -11.9% |
| #18 | Brandon Dominguès Real Oviedo | 24-26 | 18.6% | 30.4% | -11.9% |
| #19 | Dani Olmo FC Barcelona | 27-29 | 18.7% | 21.7% | -3.0% |
| #20 | Brais Méndez Real Sociedad | 27-29 | 18.7% | 21.7% | -3.0% |
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, 8 standard acquisitions, 0 watch-list prospects, 9 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
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 |
|---|---|---|---|---|
Giovani Lo Celso Real Betis Balompié | €15.0M | €7.5M | -1.00 | Good Value |
Brandon Dominguès Real Oviedo | €700K | €7.5M | -1.00 | Good Value |
Pablo Torre RCD Mallorca | €6.0M | €7.5M | -0.75 | Good Value |
Unai Gómez Athletic Bilbao | €6.0M | €7.5M | -0.75 | Good Value |
Óscar Trejo Rayo Vallecano | €500K | €7.5M | -0.28 | Fair Value |
Denis Suárez Deportivo Alavés | €1.2M | €7.5M | 0.00 | Fair Value |
Dani Olmo FC Barcelona | €60.0M | €7.5M | 0.00 | Fair Value |
Brais Méndez Real Sociedad | €18.0M | €7.5M | 0.00 | Fair Value |
Iván Martín Girona FC | €6.0M | €7.5M | 0.00 | Fair Value |
André Almeida Valencia CF | €10.0M | €7.5M | 0.00 | Fair Value |
Luka Ilic Real Oviedo | €2.0M | €7.5M | 0.00 | Fair Value |
Arsen Zakharyan Real Sociedad | €7.5M | €7.5M | 0.00 | Fair Value |
Randy Nteka Rayo Vallecano | €1.5M | €7.5M | 0.00 | Fair Value |
Oihan Sancet Athletic Bilbao | €60.0M | €7.5M | 0.00 | Fair Value |
Lucas Beltrán Valencia CF | €10.0M | €7.5M | 0.00 | Fair Value |
Aimar Oroz CA Osasuna | €15.0M | €7.5M | 0.00 | Fair Value |
Fermín López FC Barcelona | €60.0M | €7.5M | 0.00 | Fair Value |
Calebe Deportivo Alavés | €2.0M | €7.5M | 0.00 | Fair Value |
Isco Real Betis Balompié | €5.0M | €7.5M | 0.00 | Fair Value |
Arda Güler Real Madrid | €60.0M | €7.5M | 0.00 | Fair Value |