Best Attacking Midfielders in the World (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: World Attacking Midfielders 2022-23
Our database tracked 999 World Attacking Midfielders in the 2022-23 season, representing 667 clubs with a combined market value of €4.2B. The average market value for World Attacking Midfielders was €4.2M, with the average age at 26.8 years old.
The most valuable attacking midfielder in the World was Dominik Szoboszlai, worth €85.0M and played for Liverpool FC at 25 years old. The top 5 Attacking Midfielders averaged €103.0M in market value, including Cole Palmer and Jamal Musiala.
Age distribution showed the youngest tracked attacking midfielder was Patrice Covic (18 years, SV Werder Bremen, €4.0M), while the oldest was Franco Vázquez (37 years, Club Atlético Belgrano, €750K). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 413 Attacking Midfielders (41%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The World 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 World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Attacking Midfielders. Identify undervalued assets and track market momentum across 667 clubs with €4.2B combined value.
Age Distribution: World Attacking Midfielders
The World CAM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (259 players, 26% of market). The 21-23 age group holds the most value at €1.3B, averaging €7.2M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (41 players)
21-23 Years (188 players)
24-26 Years (255 players)
27-29 Years (256 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Attacking Midfielders (10% of players) control €2.9B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the World CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Attacking Midfielders
Among 667 World clubs, Real Madrid leads with 2 Attacking Midfielders worth €250.0M (averaging €125.0M per player). The top 10 clubs account for 2% of tracked Attacking Midfielders.
Real Madrid (2 Attacking Midfielders)
Liverpool FC (2 Attacking Midfielders)
Manchester City (3 Attacking Midfielders)
Arsenal FC (2 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.
Dominik Szoboszlai
Liverpool FC • 25 years old
€73.5M
€85.0M
+15.6%
Expected: €86.5M
95.5
Cole Palmer
Chelsea FC • 24 years old
€103.8M
€120.0M
+15.6%
Expected: €127.9M
95.5
Jamal Musiala
Bayern Munich • 23 years old
€112.4M
€130.0M
+15.6%
Expected: €144.9M
95.5
Florian Wirtz
Liverpool FC • 23 years old
€95.1M
€110.0M
+15.6%
Expected: €122.6M
95.5
Fermín López
FC Barcelona • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
95.5
Morgan Rogers
Aston Villa • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
95.3
Martin Ødegaard
Arsenal FC • 27 years old
€79.3M
€75.0M
-5.4%
Expected: €68.0M
94.7
Jude Bellingham
Real Madrid • 22 years old
€138.4M
€160.0M
+15.6%
Expected: €176.3M
94.4
Phil Foden
Manchester City • 26 years old
€69.2M
€80.0M
+15.6%
Expected: €85.7M
94.1
Arda Güler
Real Madrid • 21 years old
€77.8M
€90.0M
+15.6%
Expected: €103.3M
93.3
Eberechi Eze
Arsenal FC • 27 years old
€68.7M
€65.0M
-5.4%
Expected: €58.9M
90.0
Xavi Simons
Tottenham Hotspur • 23 years old
€51.9M
€60.0M
+15.6%
Expected: €66.9M
88.6
Dani Olmo
FC Barcelona • 28 years old
€77.5M
€60.0M
-22.6%
Expected: €54.4M
88.4
Morgan Gibbs-White
Nottingham Forest • 26 years old
€56.2M
€65.0M
+15.6%
Expected: €69.7M
86.8
Rayan Cherki
Manchester City • 22 years old
€43.2M
€50.0M
+15.6%
Expected: €55.1M
80.0
Can Uzun
Eintracht Frankfurt • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €53.7M
76.5
Bruno Fernandes
Manchester United • 31 years old
€51.7M
€40.0M
-22.6%
Expected: €34.3M
76.4
Rodrigo Mora
FC Porto • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €49.6M
71.6
Dejan Kulusevski
Tottenham Hotspur • 26 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
69.5
Oihan Sancet
Athletic Bilbao • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €42.9M
65.1
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 160.00×. That means Jude Bellingham is valued 160.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Chelsea FC's Cole Palmer, who is 24 years old, with a 150.00× PPVE. Third is Jamal Musiala of Bayern Munich, who is 23 years old with a 130.00× 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 160.00× means the player is worth 15900% 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 | €160.0M | €1.0M | 160.00× |
| #2 | Cole Palmer Chelsea FC | 24 | 24-26 | €120.0M | €800K | 150.00× |
| #3 | Jamal Musiala Bayern Munich | 23 | 21-23 | €130.0M | €1.0M | 130.00× |
| #4 | Florian Wirtz Liverpool FC | 23 | 21-23 | €110.0M | €1.0M | 110.00× |
| #5 | Dominik Szoboszlai Liverpool FC | 25 | 24-26 | €85.0M | €800K | 106.25× |
| #6 | Arda Güler Real Madrid | 21 | 21-23 | €90.0M | €1.0M | 90.00× |
| #7 | Morgan Rogers Aston Villa | 23 | 21-23 | €70.0M | €1.0M | 70.00× |
| #8 | Fermín López FC Barcelona | 23 | 21-23 | €70.0M | €1.0M | 70.00× |
| #9 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €60.0M | €1.0M | 60.00× |
| #10 | Rayan Cherki Manchester City | 22 | 21-23 | €50.0M | €1.0M | 50.00× |
| #11 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €1.0M | 45.00× |
| #12 | Charles De Ketelaere Atalanta BC | 25 | 24-26 | €35.0M | €800K | 43.75× |
| #13 | Malik Tillman Bayer 04 Leverkusen | 24 | 24-26 | €35.0M | €800K | 43.75× |
| #14 | Rodrigo Mora FC Porto | 19 | U21 | €40.0M | €1.0M | 40.00× |
| #15 | Mikkel Damsgaard Brentford FC | 25 | 24-26 | €30.0M | €800K | 37.50× |
| #16 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €32.0M | €1.0M | 32.00× |
| #17 | Eduard Spertsyan FC Krasnodar | 25 | 24-26 | €25.0M | €800K | 31.25× |
| #18 | Kang-in Lee Paris Saint-Germain | 25 | 24-26 | €25.0M | €800K | 31.25× |
| #19 | Harvey Elliott Aston Villa | 23 | 21-23 | €30.0M | €1.0M | 30.00× |
| #20 | Omari Hutchinson Nottingham Forest | 22 | 21-23 | €30.0M | €1.0M | 30.00× |
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)
RB Leipzig U19's Viggo Gebel at 18 years old has the highest Return-to-Peak Potential at +44%. That means Viggo Gebel is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is SV Werder Bremen's Patrice Covic, who is 18 years old, with a +44% RPP (8 years to peak). Third is Adrian Przyborek of SS Lazio, who is 19 years old with a +40% RPP (7 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 44% RPP means the player is expected to gain 44% 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 | Viggo Gebel RB Leipzig U19 | 18 | 8 | €350K | €625K | +44% |
| #2 | Patrice Covic SV Werder Bremen | 18 | 8 | €4.0M | €7.1M | +44% |
| #3 | Adrian Przyborek SS Lazio | 19 | 7 | €7.0M | €11.6M | +40% |
| #4 | Lovre Kulusic HNK Vukovar 1991 | 19 | 7 | €500K | €831K | +40% |
| #5 | Santiago Segovia CA Rosario Central | 19 | 7 | €250K | €415K | +40% |
| #6 | Allan Oyirwoth New England Revolution | 19 | 7 | €400K | €665K | +40% |
| #7 | Karol Borys NK Maribor | 19 | 7 | €1.0M | €1.7M | +40% |
| #8 | Bartłomiej Barański GKS Tychy | 19 | 7 | €300K | €499K | +40% |
| #9 | Kendry Páez CA River Plate | 19 | 7 | €10.0M | €16.6M | +40% |
| #10 | Marcel Regula Zaglebie Lubin | 19 | 7 | €5.0M | €8.3M | +40% |
| #11 | Jakub Żewłakow Legia Warszawa | 19 | 7 | €450K | €748K | +40% |
| #12 | Rodrigo Mora FC Porto | 19 | 7 | €40.0M | €66.5M | +40% |
| #13 | Mert Kömür FC Augsburg | 20 | 6 | €12.0M | €18.5M | +35% |
| #14 | Kotaro Nagata UD Oliveirense | 20 | 6 | €350K | €541K | +35% |
| #15 | Bogdan Mircetic Raków Częstochowa | 20 | 6 | €1.5M | €2.3M | +35% |
| #16 | Adriano Jagusic Slaven Belupo Koprivnica | 20 | 6 | €4.0M | €6.2M | +35% |
| #17 | Nikita Vasin Polonia Warsaw | 20 | 6 | €250K | €386K | +35% |
| #18 | Gabriel Misehouy Aris Thessaloniki | 20 | 6 | €900K | €1.4M | +35% |
| #19 | Aleksey Batrakov Lokomotiv Moscow | 20 | 6 | €25.0M | €38.6M | +35% |
| #20 | Stanis Idumbo AS Monaco | 20 | 6 | €5.0M | €7.7M | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
FC Porto's Rodrigo Mora has the highest Risk-Adjusted Upside at 56.0. That means Rodrigo Mora has 24% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is RB Leipzig U19's Viggo Gebel with a 55.1 RAU (23% upside, 0% uncertainty). Third is Patrice Covic of SV Werder Bremen with a 55.1 RAU (23% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 56.0 means the upside is 56.0× 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 | Rodrigo Mora FC Porto | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #2 | Viggo Gebel RB Leipzig U19 | €432K | €358K-507K | +23% | 55.1 |
| #3 | Patrice Covic SV Werder Bremen | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #4 | Can Uzun Eintracht Frankfurt | €53.7M | €44.4M-63.0M | +19% | 47.0 |
| #5 | Claudio Echeverri Girona FC | €17.9M | €14.8M-21.0M | +19% | 47.0 |
| #6 | Mert Kömür FC Augsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #7 | Aleksey Batrakov Lokomotiv Moscow | €29.8M | €24.7M-35.0M | +19% | 47.0 |
| #8 | Bartłomiej Barański GKS Tychy | €357K | €296K-419K | +19% | 46.4 |
| #9 | Jakub Żewłakow Legia Warszawa | €536K | €443K-628K | +19% | 46.4 |
| #10 | Lovre Kulusic HNK Vukovar 1991 | €595K | €493K-698K | +19% | 46.4 |
| #11 | Santiago Segovia CA Rosario Central | €298K | €246K-349K | +19% | 46.4 |
| #12 | Karol Borys NK Maribor | €1.2M | €985K-1.4M | +19% | 46.4 |
| #13 | Kendry Páez CA River Plate | €11.9M | €9.9M-14.0M | +19% | 46.4 |
| #14 | Marcel Regula Zaglebie Lubin | €6.0M | €4.9M-7.0M | +19% | 46.4 |
| #15 | Adrian Przyborek SS Lazio | €8.3M | €6.9M-9.8M | +19% | 46.4 |
| #16 | Allan Oyirwoth New England Revolution | €476K | €394K-558K | +19% | 46.4 |
| #17 | Arda Güler Real Madrid | €103.3M | €85.5M-121.1M | +15% | 37.3 |
| #18 | Antoni Milambo Brentford FC | €22.9M | €19.0M-26.9M | +15% | 37.3 |
| #19 | Adriano Jagusic Slaven Belupo Koprivnica | €4.6M | €3.8M-5.4M | +15% | 37.1 |
| #20 | Nikita Vasin Polonia Warsaw | €287K | €237K-336K | +15% | 37.1 |
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)
RSC Anderlecht's Thorgan Hazard in the 30+ age bracket has the highest Age-Share Concentration at +-14.1%. That means Bruno Fernandes captures 11.8% of total market value while representing only 25.9% of players in their age group—showing dominant elite status.
In second is Associação Chapecoense de Futebol's Jean Carlos with a +-14.1% ASC (11.8% value share vs 25.9% player share in 30+ bracket). Third is Recep Niyaz of Esenler Erokspor with a +-14.1% ASC (11.8% value vs 25.9% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-14.1% ASC means the player captures -14.1% 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 | Thorgan Hazard RSC Anderlecht | 30+ | 11.8% | 25.9% | -14.1% |
| #2 | Jean Carlos Associação Chapecoense de Futebol | 30+ | 11.8% | 25.9% | -14.1% |
| #3 | Recep Niyaz Esenler Erokspor | 30+ | 11.8% | 25.9% | -14.1% |
| #4 | Florian Kainz 1.FC Köln | 30+ | 11.8% | 25.9% | -14.1% |
| #5 | Kevin Stöger Borussia Mönchengladbach | 30+ | 11.8% | 25.9% | -14.1% |
| #6 | Franko Andrijasevic Without Club | 30+ | 11.8% | 25.9% | -14.1% |
| #7 | Eduardo Mirassol Futebol Clube (SP) | 30+ | 11.8% | 25.9% | -14.1% |
| #8 | Rémy Cabella FC Nantes | 30+ | 11.8% | 25.9% | -14.1% |
| #9 | Kenan Karaman FC Schalke 04 | 30+ | 11.8% | 25.9% | -14.1% |
| #10 | Knowledge Musona Scottland Football Club | 30+ | 11.8% | 25.9% | -14.1% |
| #11 | Zakaria Labyad Without Club | 30+ | 11.8% | 25.9% | -14.1% |
| #12 | Sebastian Kerk Arka Gdynia | 30+ | 11.8% | 25.9% | -14.1% |
| #13 | Lucas Villafañez AE Kifisias | 30+ | 11.8% | 25.9% | -14.1% |
| #14 | Christian Ortíz Grêmio Novorizontino | 30+ | 11.8% | 25.9% | -14.1% |
| #15 | Téji Savanier Montpellier HSC | 30+ | 11.8% | 25.9% | -14.1% |
| #16 | Abdoulaye Doucouré NEOM SC | 30+ | 11.8% | 25.9% | -14.1% |
| #17 | Carles Gil New England Revolution | 30+ | 11.8% | 25.9% | -14.1% |
| #18 | Luis Alberto Al-Wakrah SC | 30+ | 11.8% | 25.9% | -14.1% |
| #19 | Alexandru Maxim Gaziantep FK | 30+ | 11.8% | 25.9% | -14.1% |
| #20 | Yoshiaki Takagi BG Pathum United | 30+ | 11.8% | 25.9% | -14.1% |
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: 16 immediate targets, 219 standard acquisitions, 0 watch-list prospects, 433 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 €500K. 0 undervalued, 124 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mikkel Damsgaard Brentford FC | €30.0M | €750K | -1.00 | Good Value |
Rodrigo Mora FC Porto | €40.0M | €750K | -1.00 | Good Value |
Claudio Echeverri Girona FC | €15.0M | €750K | -1.00 | Good Value |
Brenden Aaronson Leeds United | €15.0M | €750K | -0.83 | Good Value |
Lazar Samardžić Atalanta BC | €15.0M | €750K | -0.83 | Good Value |
Merlin Röhl Everton FC | €16.0M | €750K | -0.80 | Good Value |
James Maddison Tottenham Hotspur | €30.0M | €750K | -0.67 | Good Value |
Rayan Cherki Manchester City | €50.0M | €750K | -0.67 | Good Value |
Marcel Regula Zaglebie Lubin | €5.0M | €750K | -0.50 | Fair Value |
Angelo Fulgini Al-Taawoun FC | €5.0M | €750K | -0.50 | Fair Value |
Romano Schmid SV Werder Bremen | €17.0M | €750K | -0.50 | Fair Value |
Jesús Angulo Deportivo Toluca | €5.0M | €750K | -0.50 | Fair Value |
Ryotaro Ito Sint-Truidense VV | €5.0M | €750K | -0.50 | Fair Value |
Morgan Gibbs-White Nottingham Forest | €65.0M | €750K | -0.50 | Fair Value |
Romain Faivre AJ Auxerre | €5.0M | €750K | -0.50 | Fair Value |
Xavi Simons Tottenham Hotspur | €60.0M | €750K | -0.50 | Fair Value |
Stanis Idumbo AS Monaco | €5.0M | €750K | -0.50 | Fair Value |
Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.0M | €750K | -0.50 | Fair Value |
Pep Biel Charlotte FC | €5.5M | €750K | -0.42 | Fair Value |
Peio Canales Racing Santander | €5.0M | €750K | -0.40 | Fair Value |
