Best Attacking Midfielders in the World (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: World Attacking Midfielders 2022-23
Our database tracked 996 World Attacking Midfielders in the 2022-23 season, representing 679 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 26.6 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 Jamal Musiala and Jude Bellingham.
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 507 Attacking Midfielders (51%) 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 679 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 (271 players, 27% of market). The 21-23 age group holds the most value at €1.3B, averaging €6.4M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (84 players)
21-23 Years (197 players)
24-26 Years (226 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 679 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
Jamal Musiala
Bayern Munich • 22 years old
€121.1M
€140.0M
+15.6%
Expected: €176.5M
94.4
Jude Bellingham
Real Madrid • 22 years old
€155.7M
€180.0M
+15.6%
Expected: €226.9M
94.4
Florian Wirtz
Liverpool FC • 22 years old
€121.1M
€140.0M
+15.6%
Expected: €176.5M
94.4
Dominik Szoboszlai
Liverpool FC • 24 years old
€69.2M
€80.0M
+15.6%
Expected: €92.5M
94.1
Xavi Simons
Tottenham Hotspur • 22 years old
€60.5M
€70.0M
+15.6%
Expected: €88.3M
88.6
Oihan Sancet
Athletic Bilbao • 25 years old
€51.9M
€60.0M
+15.6%
Expected: €66.2M
82.5
Dani Olmo
FC Barcelona • 27 years old
€60.0M
€60.0M
+0.0%
Expected: €58.9M
81.9
Arda Güler
Real Madrid • 20 years old
€51.9M
€60.0M
+15.6%
Expected: €81.9M
79.4
Morgan Rogers
Aston Villa • 23 years old
€47.6M
€55.0M
+15.6%
Expected: €66.5M
78.1
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €72.2M
76.0
Morgan Gibbs-White
Nottingham Forest • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €55.2M
73.8
Ethan Nwaneri
Arsenal FC • 18 years old
€47.6M
€55.0M
+15.6%
Expected: €80.9M
72.9
Bruno Fernandes
Manchester United • 31 years old
€50.0M
€50.0M
+0.0%
Expected: €49.1M
70.1
James Maddison
Tottenham Hotspur • 28 years old
€42.0M
€42.0M
+0.0%
Expected: €41.3M
65.3
Justin Kluivert
AFC Bournemouth • 26 years old
€30.3M
€35.0M
+15.6%
Expected: €37.5M
60.8
Charles De Ketelaere
Atalanta BC • 24 years old
€30.3M
€35.0M
+15.6%
Expected: €40.4M
60.8
Enzo Millot
Al-Ahli SFC • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €42.3M
60.5
Georgiy Sudakov
SL Benfica • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €38.7M
57.8
Emile Smith Rowe
Fulham FC • 25 years old
€25.9M
€30.0M
+15.6%
Expected: €33.1M
53.4
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 225.00×. That means Jude Bellingham is valued 225.00× 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 175.00× PPVE. Third is Florian Wirtz of Liverpool FC, who is 22 years old with a 175.00× 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 225.00× means the player is worth 22400% 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 | €800K | 225.00× |
#2 | Jamal Musiala Bayern Munich | 22 | 21-23 | €140.0M | €800K | 175.00× |
#3 | Florian Wirtz Liverpool FC | 22 | 21-23 | €140.0M | €800K | 175.00× |
#4 | Dominik Szoboszlai Liverpool FC | 24 | 24-26 | €80.0M | €750K | 106.67× |
#5 | Xavi Simons Tottenham Hotspur | 22 | 21-23 | €70.0M | €800K | 87.50× |
#6 | Oihan Sancet Athletic Bilbao | 25 | 24-26 | €60.0M | €750K | 80.00× |
#7 | Morgan Rogers Aston Villa | 23 | 21-23 | €55.0M | €800K | 68.75× |
#8 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €800K | 68.75× |
#9 | Morgan Gibbs-White Nottingham Forest | 25 | 24-26 | €50.0M | €750K | 66.67× |
#10 | Arda Güler Real Madrid | 20 | U21 | €60.0M | €900K | 66.67× |
#11 | Ethan Nwaneri Arsenal FC | 18 | U21 | €55.0M | €900K | 61.11× |
#12 | Charles De Ketelaere Atalanta BC | 24 | 24-26 | €35.0M | €750K | 46.67× |
#13 | Enzo Millot Al-Ahli SFC | 23 | 21-23 | €35.0M | €800K | 43.75× |
#14 | Emile Smith Rowe Fulham FC | 25 | 24-26 | €30.0M | €750K | 40.00× |
#15 | Georgiy Sudakov SL Benfica | 23 | 21-23 | €32.0M | €800K | 40.00× |
#16 | Harvey Elliott Aston Villa | 22 | 21-23 | €30.0M | €800K | 37.50× |
#17 | Mikkel Damsgaard Brentford FC | 25 | 24-26 | €28.0M | €750K | 37.33× |
#18 | Bilal El Khannouss VfB Stuttgart | 21 | 21-23 | €28.0M | €800K | 35.00× |
#19 | Eduard Spertsyan FC Krasnodar | 25 | 24-26 | €25.0M | €750K | 33.33× |
#20 | Julio Enciso RC Strasbourg Alsace | 21 | 21-23 | €22.0M | €800K | 27.50× |
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)
Arsenal FC's Ethan Nwaneri has the highest Risk-Adjusted Upside at 92.8. That means Ethan Nwaneri has 47% upside potential with only 1% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is VfL Wolfsburg's Bence Dárdai with a 85.5 RAU (42% upside, 0% uncertainty). Third is Can Uzun of Eintracht Frankfurt with a 85.5 RAU (42% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 92.8 means the upside is 92.8× 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 | €80.9M | €66.9M-94.9M | +47% | 92.8 |
#2 | Bence Dárdai VfL Wolfsburg | €17.0M | €14.1M-20.0M | +42% | 85.5 |
#3 | Can Uzun Eintracht Frankfurt | €25.5M | €21.1M-29.9M | +42% | 85.5 |
#4 | Paul Wanner PSV Eindhoven | €25.5M | €21.1M-29.9M | +42% | 85.5 |
#5 | Osmar Giménez Club General Caballero (JLM) | €530K | €439K-621K | +41% | 84.7 |
#6 | Isaque Shakhtar Donetsk | €9.9M | €8.2M-11.6M | +41% | 84.7 |
#7 | Kendry Páez RC Strasbourg Alsace | €14.1M | €11.7M-16.6M | +41% | 84.7 |
#8 | Patrice Covic SV Werder Bremen | €3.5M | €2.9M-4.1M | +41% | 84.7 |
#9 | Andrey Ivlev FC Pari Nizhniy Novgorod | €1.1M | €936K-1.3M | +41% | 84.7 |
#10 | Naj Razi Without Club | €424K | €351K-497K | +41% | 84.7 |
#11 | David Pejičić NK Maribor | €1.4M | €1.2M-1.7M | +41% | 84.7 |
#12 | Santiago Segovia CA Rosario Central | €353K | €292K-414K | +41% | 84.7 |
#13 | Yago Noal SC Internacional U20 | €707K | €585K-828K | +41% | 84.7 |
#14 | Álvaro Montoro Botafogo de Futebol e Regatas | €11.3M | €9.4M-13.3M | +41% | 84.7 |
#15 | Viktor Okishor Dynamo 2 Moscow | €707K | €585K-828K | +41% | 84.7 |
#16 | Alphadjo Cissè US Catanzaro | €2.8M | €2.3M-3.3M | +41% | 84.7 |
#17 | Valentín Carboni Genoa CFC | €16.4M | €13.6M-19.2M | +37% | 77.6 |
#18 | Gustavo Sá FC Famalicão | €21.9M | €18.1M-25.6M | +37% | 77.6 |
#19 | Antoni Milambo Brentford FC | €24.6M | €20.3M-28.8M | +37% | 77.6 |
#20 | Aleksey Batrakov Lokomotiv Moscow | €31.4M | €26.0M-36.8M | +37% | 77.6 |
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)
Club León FC's Daniel Arcila in the 21-23 age bracket has the highest Age-Share Concentration at +15.3%. That means Jamal Musiala captures 35.1% of total market value while representing only 19.8% of players in their age group—showing dominant elite status.
In second is Deportes Tolima's Juan Torres with a +15.3% ASC (35.1% value share vs 19.8% player share in 21-23 bracket). Third is Maksim Boldyrev of Akron Togliatti with a +15.3% ASC (35.1% value vs 19.8% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +15.3% ASC means the player captures 15.3% 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 | Daniel Arcila Club León FC | 21-23 | 35.1% | 19.8% | +15.3% |
#2 | Juan Torres Deportes Tolima | 21-23 | 35.1% | 19.8% | +15.3% |
#3 | Maksim Boldyrev Akron Togliatti | 21-23 | 35.1% | 19.8% | +15.3% |
#4 | Juan Vedia Club A.B.B. | 21-23 | 35.1% | 19.8% | +15.3% |
#5 | Rubén Lezcano Fluminense Football Club | 21-23 | 35.1% | 19.8% | +15.3% |
#6 | Valentín Sánchez Danubio FC | 21-23 | 35.1% | 19.8% | +15.3% |
#7 | Ronald Cornet Club Sportivo 2 de Mayo | 21-23 | 35.1% | 19.8% | +15.3% |
#8 | Robert Santos Atlético Clube Goianiense | 21-23 | 35.1% | 19.8% | +15.3% |
#9 | Miguelito América Futebol Clube (MG) | 21-23 | 35.1% | 19.8% | +15.3% |
#10 | Martín Maturana Deportes Santa Cruz | 21-23 | 35.1% | 19.8% | +15.3% |
#11 | Jonathan Silva Calcio Padova | 21-23 | 35.1% | 19.8% | +15.3% |
#12 | Yan Phillipe Atlético de San Luis | 21-23 | 35.1% | 19.8% | +15.3% |
#13 | Allan Sociedade Esportiva Palmeiras | 21-23 | 35.1% | 19.8% | +15.3% |
#14 | Alán Bautista CF Pachuca | 21-23 | 35.1% | 19.8% | +15.3% |
#15 | Sergio Hernández CD Everton | 21-23 | 35.1% | 19.8% | +15.3% |
#16 | Lautaro Godoy Club Atlético Tucumán | 21-23 | 35.1% | 19.8% | +15.3% |
#17 | Damián Puebla Instituto ACC | 21-23 | 35.1% | 19.8% | +15.3% |
#18 | Juan Ramirez Millonarios FC | 21-23 | 35.1% | 19.8% | +15.3% |
#19 | Jorge Ortiz Deportes La Serena | 21-23 | 35.1% | 19.8% | +15.3% |
#20 | Javier Ruiz CA Barracas Central | 21-23 | 35.1% | 19.8% | +15.3% |
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: 285 immediate targets, 147 standard acquisitions, 0 watch-list prospects, 226 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, 123 premium.
Value Positioning vs Peers
Player | Market Value | Position Median | Z-Score | Assessment |
---|---|---|---|---|
Brenden Aaronson Leeds United | €15.0M | €750K | -1.25 | Good Value |
Morgan Gibbs-White Nottingham Forest | €50.0M | €750K | -1.20 | Good Value |
Teun Koopmeiners Juventus FC | €30.0M | €750K | -1.00 | Good Value |
Emile Smith Rowe Fulham FC | €30.0M | €750K | -1.00 | Good Value |
Morgan Rogers Aston Villa | €55.0M | €750K | -1.00 | Good Value |
Aimar Oroz CA Osasuna | €15.0M | €750K | -1.00 | Good Value |
Ethan Nwaneri Arsenal FC | €55.0M | €750K | -1.00 | Good Value |
Nico Paz Como 1907 | €55.0M | €750K | -1.00 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €750K | -1.00 | Good Value |
Xavi Simons Tottenham Hotspur | €70.0M | €750K | -0.82 | Good Value |
Adrien Thomasson RC Lens | €5.0M | €750K | -0.80 | Good Value |
Chiquinho Olympiacos Piraeus | €5.0M | €750K | -0.80 | Good Value |
Marcelino Moreno CA Lanús | €5.0M | €750K | -0.80 | Good Value |
Oihan Sancet Athletic Bilbao | €60.0M | €750K | -0.80 | Good Value |
Isco Real Betis Balompié | €5.0M | €750K | -0.80 | Good Value |
Simone Pafundi UC Sampdoria | €5.0M | €750K | -0.80 | Good Value |
Tahith Chong Sheffield United | €5.0M | €750K | -0.67 | Good Value |
Iván Jaime CF Montréal | €5.0M | €750K | -0.67 | Good Value |
Matko Miljevic CA Huracán | €5.0M | €750K | -0.67 | Good Value |
Angel Gomes Olympique Marseille | €20.0M | €750K | -0.63 | Good Value |