Best Attacking Midfielders in the World (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: World Attacking Midfielders 2024-25
Our database tracked 997 World Attacking Midfielders in the 2024-25 season, representing 657 clubs with a combined market value of €4.3B. The average market value for World Attacking Midfielders was €4.3M, with the average age at 25.9 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 Konstantinos Karetsas (18 years, KRC Genk, €28.0M), while the oldest was Dimitri Payet (39 years, Without Club, €500K). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 500 Attacking Midfielders (50%) 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 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 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 657 clubs with €4.3B combined value.
Age Distribution: World Attacking Midfielders
The World CAM market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (246 players, 25% of market). The 21-23 age group holds the most value at €1.5B, averaging €6.3M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (92 players)
21-23 Years (246 players)
24-26 Years (220 players)
27-29 Years (245 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Attacking Midfielders (10% of players) control €3.0B
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 657 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
Nico Paz
Como 1907 • 21 years old
€56.2M
€65.0M
+15.6%
Expected: €74.6M
92.4
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
Ethan Nwaneri
Olympique Marseille • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €49.6M
71.9
Rodrigo Mora
FC Porto • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €49.6M
71.6
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)
Chelsea FC's Cole Palmer at 24 years old has the highest Pre-Peak Value Efficiency at 171.43×. That means Cole Palmer is valued 171.43× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Real Madrid's Jude Bellingham, who is 22 years old, with a 168.42× PPVE. Third is Jamal Musiala of Bayern Munich, who is 23 years old with a 136.84× 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 171.43× means the player is worth 17043% 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 | Cole Palmer Chelsea FC | 24 | 24-26 | €120.0M | €700K | 171.43× |
| #2 | Jude Bellingham Real Madrid | 22 | 21-23 | €160.0M | €950K | 168.42× |
| #3 | Jamal Musiala Bayern Munich | 23 | 21-23 | €130.0M | €950K | 136.84× |
| #4 | Dominik Szoboszlai Liverpool FC | 25 | 24-26 | €85.0M | €700K | 121.43× |
| #5 | Florian Wirtz Liverpool FC | 23 | 21-23 | €110.0M | €950K | 115.79× |
| #6 | Arda Güler Real Madrid | 21 | 21-23 | €90.0M | €950K | 94.74× |
| #7 | Morgan Rogers Aston Villa | 23 | 21-23 | €70.0M | €950K | 73.68× |
| #8 | Fermín López FC Barcelona | 23 | 21-23 | €70.0M | €950K | 73.68× |
| #9 | Nico Paz Como 1907 | 21 | 21-23 | €65.0M | €950K | 68.42× |
| #10 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €60.0M | €950K | 63.16× |
| #11 | Rayan Cherki Manchester City | 22 | 21-23 | €50.0M | €950K | 52.63× |
| #12 | Charles De Ketelaere Atalanta BC | 25 | 24-26 | €35.0M | €700K | 50.00× |
| #13 | Malik Tillman Bayer 04 Leverkusen | 24 | 24-26 | €35.0M | €700K | 50.00× |
| #14 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €1.0M | 45.00× |
| #15 | Mikkel Damsgaard Brentford FC | 25 | 24-26 | €30.0M | €700K | 42.86× |
| #16 | Ethan Nwaneri Olympique Marseille | 19 | U21 | €40.0M | €1.0M | 40.00× |
| #17 | Rodrigo Mora FC Porto | 19 | U21 | €40.0M | €1.0M | 40.00× |
| #18 | Kang-in Lee Paris Saint-Germain | 25 | 24-26 | €25.0M | €700K | 35.71× |
| #19 | Gabri Veiga FC Porto | 24 | 24-26 | €23.0M | €700K | 32.86× |
| #20 | Harvey Elliott Aston Villa | 23 | 21-23 | €30.0M | €950K | 31.58× |
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 Konstantinos Karetsas is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is Independiente del Valle's Justin Lerma, who is 18 years old, with a +44% RPP (8 years to peak). Third is Konstantinos Karetsas of KRC Genk, 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 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 | Justin Lerma Independiente del Valle | 18 | 8 | €3.0M | €5.4M | +44% |
| #3 | Konstantinos Karetsas KRC Genk | 18 | 8 | €28.0M | €50.0M | +44% |
| #4 | David Pejičić NK Maribor | 18 | 8 | €1.0M | €1.8M | +44% |
| #5 | Patrice Covic SV Werder Bremen | 18 | 8 | €4.0M | €7.1M | +44% |
| #6 | Darryl Bakola US Sassuolo | 18 | 8 | €4.0M | €7.1M | +44% |
| #7 | Jesús Maraude Club Always Ready | 18 | 8 | €250K | €447K | +44% |
| #8 | Lorran Pisa Sporting Club | 19 | 7 | €7.5M | €12.5M | +40% |
| #9 | Adrian Przyborek SS Lazio | 19 | 7 | €7.0M | €11.6M | +40% |
| #10 | Olger Escobar CF Montréal | 19 | 7 | €300K | €499K | +40% |
| #11 | Cyprian Popielec Zaglebie Lubin | 19 | 7 | €350K | €582K | +40% |
| #12 | Filip Zivkovic NK Osijek | 19 | 7 | €300K | €499K | +40% |
| #13 | Mateusz Szczepaniak Pogon Grodzisk Mazowiecki | 19 | 7 | €600K | €997K | +40% |
| #14 | Bartosz Mazurek Jagiellonia Bialystok | 19 | 7 | €600K | €997K | +40% |
| #15 | Lovre Kulusic HNK Vukovar 1991 | 19 | 7 | €500K | €831K | +40% |
| #16 | Santiago Segovia CA Rosario Central | 19 | 7 | €250K | €415K | +40% |
| #17 | Allan Oyirwoth New England Revolution | 19 | 7 | €400K | €665K | +40% |
| #18 | Isaque Shakhtar Donetsk | 19 | 7 | €8.0M | €13.3M | +40% |
| #19 | Yago Noal SC Internacional U20 | 19 | 7 | €500K | €831K | +40% |
| #20 | Yaroslav Karaman Polissya Zhytomyr | 19 | 7 | €300K | €499K | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
KRC Genk's Konstantinos Karetsas has the highest Risk-Adjusted Upside at 64.3. That means Konstantinos Karetsas has 29% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Sporting CP's João Simões with a 56.0 RAU (24% upside, 0% uncertainty). Third is Josh King of Fulham FC with a 56.0 RAU (24% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 64.3 means the upside is 64.3× 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 | Konstantinos Karetsas KRC Genk | €36.0M | €29.8M-42.2M | +29% | 64.3 |
| #2 | João Simões Sporting CP | €18.6M | €15.4M-21.8M | +24% | 56.0 |
| #3 | Josh King Fulham FC | €24.8M | €20.5M-29.1M | +24% | 56.0 |
| #4 | Ethan Nwaneri Olympique Marseille | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #5 | Rodrigo Mora FC Porto | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #6 | Viggo Gebel RB Leipzig U19 | €432K | €358K-507K | +23% | 55.1 |
| #7 | David Pejičić NK Maribor | €1.2M | €1.0M-1.4M | +23% | 55.1 |
| #8 | Patrice Covic SV Werder Bremen | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #9 | Darryl Bakola US Sassuolo | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #10 | Jesús Maraude Club Always Ready | €309K | €255K-362K | +23% | 55.1 |
| #11 | Justin Lerma Independiente del Valle | €3.7M | €3.1M-4.3M | +23% | 55.1 |
| #12 | Can Uzun Eintracht Frankfurt | €53.7M | €44.4M-63.0M | +19% | 47.0 |
| #13 | Claudio Echeverri Girona FC | €17.9M | €14.8M-21.0M | +19% | 47.0 |
| #14 | Paul Wanner PSV Eindhoven | €16.7M | €13.8M-19.6M | +19% | 47.0 |
| #15 | Mert Kömür FC Augsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #16 | Ibrahim Maza Bayer 04 Leverkusen | €29.8M | €24.7M-35.0M | +19% | 47.0 |
| #17 | Olger Escobar CF Montréal | €357K | €296K-419K | +19% | 46.4 |
| #18 | Filip Zivkovic NK Osijek | €357K | €296K-419K | +19% | 46.4 |
| #19 | Mateusz Szczepaniak Pogon Grodzisk Mazowiecki | €714K | €591K-838K | +19% | 46.4 |
| #20 | Bartosz Mazurek Jagiellonia Bialystok | €714K | €591K-838K | +19% | 46.4 |
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: 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)
Sporting CP B's Manuel Mendonça in the 21-23 age bracket has the highest Age-Share Concentration at +11.6%. That means Jamal Musiala captures 36.2% of total market value while representing only 24.7% of players in their age group—showing dominant elite status.
In second is Racing Club's Baltasar Rodríguez with a +11.6% ASC (36.2% value share vs 24.7% player share in 21-23 bracket). Third is Wiktor Nowak of Wisla Plock with a +11.6% ASC (36.2% value vs 24.7% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +11.6% ASC means the player captures 11.6% 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 | Manuel Mendonça Sporting CP B | 21-23 | 36.2% | 24.7% | +11.6% |
| #2 | Baltasar Rodríguez Racing Club | 21-23 | 36.2% | 24.7% | +11.6% |
| #3 | Wiktor Nowak Wisla Plock | 21-23 | 36.2% | 24.7% | +11.6% |
| #4 | Kevin Altez Huachipato FC | 21-23 | 36.2% | 24.7% | +11.6% |
| #5 | Agustín Arce Club Universidad de Chile | 21-23 | 36.2% | 24.7% | +11.6% |
| #6 | Mohammadjavad Hosseinnejad Dinamo Makhachkala | 21-23 | 36.2% | 24.7% | +11.6% |
| #7 | Juan Francisco Rossel CD Universidad Católica | 21-23 | 36.2% | 24.7% | +11.6% |
| #8 | Maksim Boldyrev Akron Togliatti | 21-23 | 36.2% | 24.7% | +11.6% |
| #9 | Juan Vedia Club A.B.B. | 21-23 | 36.2% | 24.7% | +11.6% |
| #10 | Rubén Lezcano Fluminense Football Club | 21-23 | 36.2% | 24.7% | +11.6% |
| #11 | Robert Santos Associação Chapecoense de Futebol | 21-23 | 36.2% | 24.7% | +11.6% |
| #12 | Artur Shakh Karpaty Lviv | 21-23 | 36.2% | 24.7% | +11.6% |
| #13 | Peio Canales Racing Santander | 21-23 | 36.2% | 24.7% | +11.6% |
| #14 | Yevgeniy Pastukh LNZ Cherkasy | 21-23 | 36.2% | 24.7% | +11.6% |
| #15 | Bilal Bafdili KV Mechelen | 21-23 | 36.2% | 24.7% | +11.6% |
| #16 | Miguelito Santos FC | 21-23 | 36.2% | 24.7% | +11.6% |
| #17 | Martín Maturana CD O'Higgins | 21-23 | 36.2% | 24.7% | +11.6% |
| #18 | Fer López Celta de Vigo | 21-23 | 36.2% | 24.7% | +11.6% |
| #19 | Jonathan Silva Calcio Padova | 21-23 | 36.2% | 24.7% | +11.6% |
| #20 | Yan Phillipe Atlético de San Luis | 21-23 | 36.2% | 24.7% | +11.6% |
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: 44 immediate targets, 300 standard acquisitions, 0 watch-list prospects, 386 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, 139 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Angelo Fulgini Al-Taawoun FC | €5.0M | €750K | -0.88 | Good Value |
Romain Faivre AJ Auxerre | €5.0M | €750K | -0.88 | Good Value |
Marcel Regula Zaglebie Lubin | €5.0M | €750K | -0.75 | Good Value |
Dániel Gazdag Columbus Crew | €5.0M | €750K | -0.75 | Good Value |
Pep Biel Charlotte FC | €5.5M | €750K | -0.75 | Good Value |
Sergio Canales CF Monterrey | €5.0M | €750K | -0.75 | Good Value |
Stanis Idumbo AS Monaco | €5.0M | €750K | -0.75 | Good Value |
Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.0M | €750K | -0.75 | Good Value |
Simone Pafundi UC Sampdoria | €5.0M | €750K | -0.75 | Good Value |
Fer López Celta de Vigo | €16.0M | €750K | -0.67 | Good Value |
James Maddison Tottenham Hotspur | €30.0M | €750K | -0.67 | Good Value |
Merlin Röhl Everton FC | €16.0M | €750K | -0.67 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €750K | -0.67 | Good Value |
Iván Martín Girona FC | €6.0M | €750K | -0.63 | Good Value |
Carlo Holse Samsunspor | €6.0M | €750K | -0.63 | Good Value |
Andrea Colpani AC Monza | €6.0M | €750K | -0.63 | Good Value |
Calvin Stengs Pisa Sporting Club | €6.0M | €750K | -0.63 | Good Value |
Brenden Aaronson Leeds United | €15.0M | €750K | -0.60 | Good Value |
Lazar Samardžić Atalanta BC | €15.0M | €750K | -0.60 | Good Value |
Oğuzhan Aydoğan Without Club | €225K | €750K | -0.52 | Good Value |
