Best Attacking Midfielders in the World (Dec 2025)
Ranked by Analytical Strength Score
Market Overview: World Attacking Midfielders 2022-23
Our database tracked 997 World Attacking Midfielders in the 2022-23 season, representing 680 clubs with a combined market value of €3.6B. The average market value for World Attacking Midfielders was €3.6M, with the average age at 26.7 years old.
The most valuable attacking midfielder in the World was Martin Ødegaard, worth €85.0M and played for Arsenal FC at 26 years old. The top 5 Attacking Midfielders averaged €125.0M in market value, including Dominik Szoboszlai and Jamal Musiala.
Age distribution showed the youngest tracked attacking midfielder was Ethan Nwaneri (18 years, Arsenal FC, €55.0M), while the oldest was Lior Refaelov (39 years, Maccabi Haifa, €300K). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 432 Attacking Midfielders (43%) 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 680 clubs with €3.6B combined value.
Age Distribution: World Attacking Midfielders
The World CAM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (278 players, 28% of market). The 21-23 age group holds the most value at €1.3B, averaging €6.5M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (81 players)
21-23 Years (192 players)
24-26 Years (228 players)
27-29 Years (218 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Attacking Midfielders (10% of players) control €2.5B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the World CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Attacking Midfielders
Among 680 World clubs, Real Madrid leads with 2 Attacking Midfielders worth €240.0M (averaging €120.0M per player). The top 10 clubs account for 2% of tracked Attacking Midfielders.
Real Madrid (2 Attacking Midfielders)
Liverpool FC (2 Attacking Midfielders)
Arsenal FC (2 Attacking Midfielders)
Bayern Munich (1 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.
Martin Ødegaard
Arsenal FC • 26 years old
€73.5M
€85.0M
+15.6%
Expected: €91.1M
95.5
Dominik Szoboszlai
Liverpool FC • 25 years old
€69.2M
€80.0M
+15.6%
Expected: €81.4M
95.5
Jamal Musiala
Bayern Munich • 22 years old
€121.1M
€140.0M
+15.6%
Expected: €154.2M
94.4
Jude Bellingham
Real Madrid • 22 years old
€155.7M
€180.0M
+15.6%
Expected: €198.3M
94.4
Florian Wirtz
Liverpool FC • 22 years old
€121.1M
€140.0M
+15.6%
Expected: €154.2M
94.4
Xavi Simons
Tottenham Hotspur • 22 years old
€60.5M
€70.0M
+15.6%
Expected: €77.1M
94.2
Arda Güler
Real Madrid • 20 years old
€51.9M
€60.0M
+15.6%
Expected: €71.6M
89.2
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €63.1M
86.1
Dani Olmo
FC Barcelona • 27 years old
€63.4M
€60.0M
-5.4%
Expected: €54.4M
85.3
Ethan Nwaneri
Arsenal FC • 18 years old
€47.6M
€55.0M
+15.6%
Expected: €70.7M
84.8
Oihan Sancet
Athletic Bilbao • 25 years old
€51.9M
€60.0M
+15.6%
Expected: €61.0M
84.4
Bruno Fernandes
Manchester United • 31 years old
€64.6M
€50.0M
-22.6%
Expected: €42.9M
84.1
Morgan Rogers
Aston Villa • 23 years old
€47.6M
€55.0M
+15.6%
Expected: €61.3M
83.8
Morgan Gibbs-White
Nottingham Forest • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €50.9M
75.4
James Maddison
Tottenham Hotspur • 29 years old
€54.2M
€42.0M
-22.6%
Expected: €36.0M
72.7
Enzo Millot
Al-Ahli SFC • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
64.0
Charles De Ketelaere
Atalanta BC • 24 years old
€30.3M
€35.0M
+15.6%
Expected: €37.3M
63.0
Georgiy Sudakov
SL Benfica • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.7M
61.1
Justin Kluivert
AFC Bournemouth • 26 years old
€30.3M
€35.0M
+15.6%
Expected: €37.5M
60.8
Harvey Elliott
Aston Villa • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €33.0M
56.6
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)
Real Madrid's Jude Bellingham at 22 years old has the highest Pre-Peak Value Efficiency at 200.00×. That means Jude Bellingham is valued 200.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Bayern Munich's Jamal Musiala, who is 22 years old, with a 155.56× PPVE. Third is Florian Wirtz of Liverpool FC, who is 22 years old with a 155.56× 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 200.00× means the player is worth 19900% 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 | €900K | 200.00× |
| #2 | Jamal Musiala Bayern Munich | 22 | 21-23 | €140.0M | €900K | 155.56× |
| #3 | Florian Wirtz Liverpool FC | 22 | 21-23 | €140.0M | €900K | 155.56× |
| #4 | Dominik Szoboszlai Liverpool FC | 25 | 24-26 | €80.0M | €750K | 106.67× |
| #5 | Oihan Sancet Athletic Bilbao | 25 | 24-26 | €60.0M | €750K | 80.00× |
| #6 | Xavi Simons Tottenham Hotspur | 22 | 21-23 | €70.0M | €900K | 77.78× |
| #7 | Arda Güler Real Madrid | 20 | U21 | €60.0M | €800K | 75.00× |
| #8 | Ethan Nwaneri Arsenal FC | 18 | U21 | €55.0M | €800K | 68.75× |
| #9 | Morgan Gibbs-White Nottingham Forest | 25 | 24-26 | €50.0M | €750K | 66.67× |
| #10 | Morgan Rogers Aston Villa | 23 | 21-23 | €55.0M | €900K | 61.11× |
| #11 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €900K | 61.11× |
| #12 | Charles De Ketelaere Atalanta BC | 24 | 24-26 | €35.0M | €750K | 46.67× |
| #13 | Emile Smith Rowe Fulham FC | 25 | 24-26 | €30.0M | €750K | 40.00× |
| #14 | Enzo Millot Al-Ahli SFC | 23 | 21-23 | €35.0M | €900K | 38.89× |
| #15 | Mikkel Damsgaard Brentford FC | 25 | 24-26 | €28.0M | €750K | 37.33× |
| #16 | Georgiy Sudakov SL Benfica | 23 | 21-23 | €32.0M | €900K | 35.56× |
| #17 | Eduard Spertsyan FC Krasnodar | 25 | 24-26 | €25.0M | €750K | 33.33× |
| #18 | Harvey Elliott Aston Villa | 22 | 21-23 | €30.0M | €900K | 33.33× |
| #19 | Bilal El Khannouss VfB Stuttgart | 21 | 21-23 | €28.0M | €900K | 31.11× |
| #20 | Aleksey Batrakov Lokomotiv Moscow | 20 | U21 | €23.0M | €800K | 28.75× |
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)
RB Leipzig U19's Viggo Gebel at 18 years old has the highest Return-to-Peak Potential at +44%. That means Isaque is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is Shakhtar Donetsk's Isaque, who is 18 years old, with a +44% RPP (8 years to peak). Third is Osmar Giménez of Club General Caballero (JLM), 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 | Isaque Shakhtar Donetsk | 18 | 8 | €7.0M | €12.5M | +44% |
| #3 | Osmar Giménez Club General Caballero (JLM) | 18 | 8 | €375K | €670K | +44% |
| #4 | David Pejičić NK Maribor | 18 | 8 | €1.0M | €1.8M | +44% |
| #5 | Kendry Páez RC Strasbourg Alsace | 18 | 8 | €10.0M | €17.9M | +44% |
| #6 | Patrice Covic SV Werder Bremen | 18 | 8 | €2.5M | €4.5M | +44% |
| #7 | Santiago Segovia CA Rosario Central | 18 | 8 | €250K | €447K | +44% |
| #8 | Yago Noal SC Internacional U20 | 18 | 8 | €500K | €894K | +44% |
| #9 | Álvaro Montoro Botafogo de Futebol e Regatas | 18 | 8 | €8.0M | €14.3M | +44% |
| #10 | Ethan Nwaneri Arsenal FC | 18 | 8 | €55.0M | €98.3M | +44% |
| #11 | Viktor Okishor Dynamo 2 Moscow | 18 | 8 | €500K | €894K | +44% |
| #12 | Adriano Bregou Panathinaikos FC | 19 | 7 | €500K | €831K | +40% |
| #13 | Lorran Pisa Sporting Club | 19 | 7 | €9.0M | €15.0M | +40% |
| #14 | Matija Popović CSKA Moscow | 19 | 7 | €1.0M | €1.7M | +40% |
| #15 | Andrea Bonanomi Atalanta U23 | 19 | 7 | €500K | €831K | +40% |
| #16 | Jordan Barrera Botafogo de Futebol e Regatas | 19 | 7 | €1.0M | €1.7M | +40% |
| #17 | Louis Leroux FC Nantes | 19 | 7 | €4.0M | €6.6M | +40% |
| #18 | Jandry Gómez Barcelona SC Guayaquil | 19 | 7 | €300K | €499K | +40% |
| #19 | Farouck Adekami Royal Antwerp FC | 19 | 7 | €600K | €997K | +40% |
| #20 | Jonathan Asp Jensen Grasshopper Club Zurich | 19 | 7 | €2.0M | €3.3M | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Arsenal FC's Ethan Nwaneri has the highest Risk-Adjusted Upside at 64.3. That means Ethan Nwaneri has 29% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is VfL Wolfsburg's Bence Dárdai with a 56.0 RAU (24% upside, 0% uncertainty). Third is Paul Wanner of PSV Eindhoven 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 | Ethan Nwaneri Arsenal FC | €70.7M | €58.5M-82.9M | +29% | 64.3 |
| #2 | Bence Dárdai VfL Wolfsburg | €14.9M | €12.3M-17.4M | +24% | 56.0 |
| #3 | Paul Wanner PSV Eindhoven | €22.3M | €18.5M-26.2M | +24% | 56.0 |
| #4 | Kendry Páez RC Strasbourg Alsace | €12.3M | €10.2M-14.5M | +23% | 55.1 |
| #5 | Patrice Covic SV Werder Bremen | €3.1M | €2.6M-3.6M | +23% | 55.1 |
| #6 | Isaque Shakhtar Donetsk | €8.6M | €7.2M-10.1M | +23% | 55.1 |
| #7 | Viggo Gebel RB Leipzig U19 | €432K | €358K-507K | +23% | 55.1 |
| #8 | David Pejičić NK Maribor | €1.2M | €1.0M-1.4M | +23% | 55.1 |
| #9 | Santiago Segovia CA Rosario Central | €309K | €255K-362K | +23% | 55.1 |
| #10 | Yago Noal SC Internacional U20 | €617K | €511K-724K | +23% | 55.1 |
| #11 | Álvaro Montoro Botafogo de Futebol e Regatas | €9.9M | €8.2M-11.6M | +23% | 55.1 |
| #12 | Viktor Okishor Dynamo 2 Moscow | €617K | €511K-724K | +23% | 55.1 |
| #13 | Osmar Giménez Club General Caballero (JLM) | €463K | €383K-543K | +23% | 55.1 |
| #14 | Antoni Milambo Brentford FC | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #15 | Can Uzun Eintracht Frankfurt | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #16 | Arda Güler Real Madrid | €71.6M | €59.3M-84.0M | +19% | 47.0 |
| #17 | Valentín Carboni Genoa CFC | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #18 | Aleksey Batrakov Lokomotiv Moscow | €27.4M | €22.7M-32.2M | +19% | 47.0 |
| #19 | Facundo Buonanotte Chelsea FC | €23.9M | €19.8M-28.0M | +19% | 47.0 |
| #20 | Jandry Gómez Barcelona SC Guayaquil | €357K | €296K-419K | +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)
RSC Anderlecht's Thorgan Hazard in the 30+ age bracket has the highest Age-Share Concentration at +-15.7%. That means Bruno Fernandes captures 12.2% of total market value while representing only 27.9% of players in their age group—showing dominant elite status.
In second is Criciúma Esporte Clube's Jean Carlos with a +-15.7% ASC (12.2% value share vs 27.9% player share in 30+ bracket). Third is Miler Bolaños of Guayaquil City FC with a +-15.7% ASC (12.2% value vs 27.9% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-15.7% ASC means the player captures -15.7% 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+ | 12.2% | 27.9% | -15.7% |
| #2 | Jean Carlos Criciúma Esporte Clube | 30+ | 12.2% | 27.9% | -15.7% |
| #3 | Miler Bolaños Guayaquil City FC | 30+ | 12.2% | 27.9% | -15.7% |
| #4 | Alan Patrick Sport Club Internacional | 30+ | 12.2% | 27.9% | -15.7% |
| #5 | Michal Skvarka MSK Zilina B | 30+ | 12.2% | 27.9% | -15.7% |
| #6 | Recep Niyaz Esenler Erokspor | 30+ | 12.2% | 27.9% | -15.7% |
| #7 | Florian Kainz 1.FC Köln | 30+ | 12.2% | 27.9% | -15.7% |
| #8 | Franko Andrijasevic Zhejiang FC | 30+ | 12.2% | 27.9% | -15.7% |
| #9 | Sebastian Ernst LKS Lodz | 30+ | 12.2% | 27.9% | -15.7% |
| #10 | Eduardo Cruzeiro Esporte Clube | 30+ | 12.2% | 27.9% | -15.7% |
| #11 | Sofiane Hanni Al-Khor SC | 30+ | 12.2% | 27.9% | -15.7% |
| #12 | Rémy Cabella Olympiacos Piraeus | 30+ | 12.2% | 27.9% | -15.7% |
| #13 | Younès Belhanda Al-Shamal SC | 30+ | 12.2% | 27.9% | -15.7% |
| #14 | Robert Leipertz 1.FC Magdeburg | 30+ | 12.2% | 27.9% | -15.7% |
| #15 | Edwin Cardona Atlético Nacional | 30+ | 12.2% | 27.9% | -15.7% |
| #16 | Kenan Karaman FC Schalke 04 | 30+ | 12.2% | 27.9% | -15.7% |
| #17 | Knowledge Musona Scottland Football Club | 30+ | 12.2% | 27.9% | -15.7% |
| #18 | Juan Fernando Quintero CA River Plate | 30+ | 12.2% | 27.9% | -15.7% |
| #19 | Robert Zulj Buriram United | 30+ | 12.2% | 27.9% | -15.7% |
| #20 | Zakaria Labyad Dalian Yingbo | 30+ | 12.2% | 27.9% | -15.7% |
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: 39 immediate targets, 237 standard acquisitions, 0 watch-list prospects, 370 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 €450K. 0 undervalued, 137 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Morgan Gibbs-White Nottingham Forest | €50.0M | €700K | -1.20 | Good Value |
Teun Koopmeiners Juventus FC | €30.0M | €700K | -1.00 | Good Value |
Emile Smith Rowe Fulham FC | €30.0M | €700K | -1.00 | Good Value |
Morgan Rogers Aston Villa | €55.0M | €700K | -1.00 | Good Value |
Ethan Nwaneri Arsenal FC | €55.0M | €700K | -1.00 | Good Value |
Nico Paz Como 1907 | €55.0M | €700K | -1.00 | Good Value |
Xavi Simons Tottenham Hotspur | €70.0M | €700K | -0.82 | Good Value |
Adrien Thomasson RC Lens | €5.0M | €700K | -0.80 | Good Value |
Chiquinho Olympiacos Piraeus | €5.0M | €700K | -0.80 | Good Value |
Marcelino Moreno CA Lanús | €5.0M | €700K | -0.80 | Good Value |
Oihan Sancet Athletic Bilbao | €60.0M | €700K | -0.80 | Good Value |
Isco Real Betis Balompié | €5.0M | €700K | -0.80 | Good Value |
Simone Pafundi UC Sampdoria | €5.0M | €700K | -0.80 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €700K | -0.80 | Good Value |
Brenden Aaronson Leeds United | €15.0M | €700K | -0.77 | Good Value |
Aimar Oroz CA Osasuna | €15.0M | €700K | -0.77 | Good Value |
Tahith Chong Sheffield United | €5.0M | €700K | -0.67 | Good Value |
Iván Jaime CF Montréal | €5.0M | €700K | -0.67 | Good Value |
Matko Miljevic CA Huracán | €5.0M | €700K | -0.67 | Good Value |
Matheus Alves CSKA Moscow | €6.0M | €700K | -0.60 | Good Value |
