Best Attacking Midfielders in the La Liga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: La Liga Attacking Midfielders 2025-26
Our database tracks 23 La Liga Attacking Midfielders in the 2025-26 season, representing 12 clubs with a combined market value of €537.4M. The average market value for La Liga Attacking Midfielders is €23.4M, with the average age at 25.7 years old.
The most valuable attacking midfielder in the La Liga is Jude Bellingham, worth €180.0M and playing for Real Madrid at 22 years old. The top 5 Attacking Midfielders average €84.0M in market value, including Oihan Sancet and Dani Olmo.
Age distribution shows the youngest tracked attacking midfielder is Arda Güler (20 years, Real Madrid, €60.0M), while the oldest is Óscar Trejo (37 years, Rayo Vallecano, €500K). Research shows Attacking Midfielders typically peak at age 26.
Our 1-year forecast model projects 15 Attacking Midfielders (65%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The La Liga market for Attacking Midfielders remains highly competitive with significant transfer activity expected in the 2025-26 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 5 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 €282.5M, averaging €40.4M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (1 players)
21-23 Years (7 players)
24-26 Years (7 players)
27-29 Years (5 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: €226.9M
94.4
Oihan Sancet
Athletic Bilbao • 25 years old
€51.9M
€60.0M
+15.6%
Expected: €66.2M
88.9
Dani Olmo
FC Barcelona • 27 years old
€60.0M
€60.0M
+0.0%
Expected: €58.9M
88.3
Fermín López
FC Barcelona • 22 years old
€51.9M
€60.0M
+15.6%
Expected: €75.6M
88.0
Arda Güler
Real Madrid • 20 years old
€51.9M
€60.0M
+15.6%
Expected: €81.9M
85.8
Brais Méndez
Real Sociedad • 28 years old
€18.0M
€18.0M
+0.0%
Expected: €17.7M
69.6
Aimar Oroz
CA Osasuna • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €18.1M
68.9
Giovani Lo Celso
Real Betis Balompié • 29 years old
€15.0M
€15.0M
+0.0%
Expected: €14.7M
66.6
Lucas Beltrán
Valencia CF • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €11.1M
60.2
André Almeida
Valencia CF • 25 years old
€8.6M
€10.0M
+15.6%
Expected: €10.6M
60.2
Pablo Marín
Real Sociedad • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €9.7M
56.4
Arsen Zakharyan
Real Sociedad • 22 years old
€6.5M
€7.5M
+15.6%
Expected: €9.1M
55.6
Iván Martín
Girona FC • 26 years old
€5.2M
€6.0M
+15.6%
Expected: €6.2M
54.0
Pablo Torre
RCD Mallorca • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €7.3M
52.9
Unai Gómez
Athletic Bilbao • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €7.3M
52.9
Isco
Real Betis Balompié • 33 years old
€5.0M
€5.0M
+0.0%
Expected: €4.7M
46.3
Thomas Lemar
Girona FC • 29 years old
€3.0M
€3.0M
+0.0%
Expected: €2.8M
39.4
Calebe
Deportivo Alavés • 25 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
36.8
Luka Ilic
Real Oviedo • 26 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
36.8
Randy Nteka
Rayo Vallecano • 27 years old
€1.5M
€1.5M
+0.0%
Expected: €1.4M
32.5
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 Oihan Sancet of Athletic Bilbao, who is 25 years old with a 6.00× 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 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 | Oihan Sancet Athletic Bilbao | 25 | 24-26 | €60.0M | €10.0M | 6.00× |
| #4 | Aimar Oroz CA Osasuna | 23 | 21-23 | €15.0M | €8.0M | 1.88× |
| #5 | André Almeida Valencia CF | 25 | 24-26 | €10.0M | €10.0M | 1.00× |
| #6 | Lucas Beltrán Valencia CF | 24 | 24-26 | €10.0M | €10.0M | 1.00× |
| #7 | Arda Güler Real Madrid | 20 | U21 | €60.0M | €60.0M | 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.
No RPP data available (requires forecast values in database)
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 77.6. That means Arda Güler has 37% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Real Madrid's Jude Bellingham with a 68.9 RAU (26% upside, 0% uncertainty). Third is Fermín López of FC Barcelona with a 68.9 RAU (26% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 77.6 means the upside is 77.6× 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 | €81.9M | €67.8M-96.1M | +37% | 77.6 |
| #2 | Jude Bellingham Real Madrid | €226.9M | €192.9M-261.0M | +26% | 68.9 |
| #3 | Fermín López FC Barcelona | €75.6M | €64.3M-87.0M | +26% | 68.9 |
| #4 | Pablo Torre RCD Mallorca | €7.3M | €6.2M-8.4M | +21% | 58.1 |
| #5 | Unai Gómez Athletic Bilbao | €7.3M | €6.2M-8.4M | +21% | 58.1 |
| #6 | Arsen Zakharyan Real Sociedad | €9.1M | €7.7M-10.4M | +21% | 58.1 |
| #7 | Pablo Marín Real Sociedad | €9.7M | €8.2M-11.1M | +21% | 58.1 |
| #8 | Aimar Oroz CA Osasuna | €18.1M | €15.4M-20.8M | +21% | 57.4 |
| #9 | Lucas Beltrán Valencia CF | €11.1M | €9.4M-12.8M | +11% | 33.1 |
| #10 | Oihan Sancet Athletic Bilbao | €66.2M | €56.3M-76.1M | +10% | 31.2 |
| #11 | Brandon Dominguès Real Oviedo | €742K | €631K-853K | +6% | 18.8 |
| #12 | Calebe Deportivo Alavés | €2.1M | €1.8M-2.4M | +6% | 18.8 |
| #13 | André Almeida Valencia CF | €10.6M | €9.0M-12.2M | +6% | 18.8 |
| #14 | Iván Martín Girona FC | €6.2M | €5.3M-7.1M | +3% | 9.6 |
| #15 | Luka Ilic Real Oviedo | €2.1M | €1.8M-2.4M | +3% | 9.6 |
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: 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 +22.1%. That means Jude Bellingham captures 52.6% 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 +22.1% ASC (52.6% value share vs 30.4% player share in 21-23 bracket). Third is Aimar Oroz of CA Osasuna with a +22.1% ASC (52.6% value vs 30.4% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +22.1% ASC means the player captures 22.1% 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 | 52.6% | 30.4% | +22.1% |
| #2 | Jude Bellingham Real Madrid | 21-23 | 52.6% | 30.4% | +22.1% |
| #3 | Aimar Oroz CA Osasuna | 21-23 | 52.6% | 30.4% | +22.1% |
| #4 | Fermín López FC Barcelona | 21-23 | 52.6% | 30.4% | +22.1% |
| #5 | Pablo Torre RCD Mallorca | 21-23 | 52.6% | 30.4% | +22.1% |
| #6 | Unai Gómez Athletic Bilbao | 21-23 | 52.6% | 30.4% | +22.1% |
| #7 | Pablo Marín Real Sociedad | 21-23 | 52.6% | 30.4% | +22.1% |
| #8 | Iván Martín Girona FC | 24-26 | 16.9% | 30.4% | -13.6% |
| #9 | André Almeida Valencia CF | 24-26 | 16.9% | 30.4% | -13.6% |
| #10 | Luka Ilic Real Oviedo | 24-26 | 16.9% | 30.4% | -13.6% |
| #11 | Oihan Sancet Athletic Bilbao | 24-26 | 16.9% | 30.4% | -13.6% |
| #12 | Lucas Beltrán Valencia CF | 24-26 | 16.9% | 30.4% | -13.6% |
| #13 | Calebe Deportivo Alavés | 24-26 | 16.9% | 30.4% | -13.6% |
| #14 | Brandon Dominguès Real Oviedo | 24-26 | 16.9% | 30.4% | -13.6% |
| #15 | Denis Suárez Deportivo Alavés | 30+ | 1.2% | 13.0% | -11.8% |
| #16 | Óscar Trejo Rayo Vallecano | 30+ | 1.2% | 13.0% | -11.8% |
| #17 | Isco Real Betis Balompié | 30+ | 1.2% | 13.0% | -11.8% |
| #18 | Arda Güler Real Madrid | U21 | 11.2% | 4.3% | +6.8% |
| #19 | Thomas Lemar Girona FC | 27-29 | 18.1% | 21.7% | -3.6% |
| #20 | Dani Olmo FC Barcelona | 27-29 | 18.1% | 21.7% | -3.6% |
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: 8 immediate targets, 5 standard acquisitions, 0 watch-list prospects, 5 at peak.
BUY NOW - High Upside
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 €180.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Óscar Trejo Rayo Vallecano | €500K | €7.5M | -1.00 | Good Value |
Iván Martín Girona FC | €6.0M | €7.5M | -1.00 | Good Value |
Giovani Lo Celso Real Betis Balompié | €15.0M | €7.5M | -1.00 | Good Value |
Randy Nteka Rayo Vallecano | €1.5M | €7.5M | -1.00 | Good Value |
Fermín López FC Barcelona | €60.0M | €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 |
Denis Suárez Deportivo Alavés | €1.2M | €7.5M | 0.00 | Fair Value |
Thomas Lemar Girona FC | €3.0M | €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 |
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 |
Oihan Sancet Athletic Bilbao | €60.0M | €7.5M | 0.00 | Fair Value |
Jude Bellingham Real Madrid | €180.0M | €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 |
Calebe Deportivo Alavés | €2.0M | €7.5M | 0.00 | Fair Value |