Best U23 Young Attacking Midfielders in the World
245 players aged 23 or under · ranked by Analytical Strength Score
Best Young Attacking Midfielders in the World (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: World Young Attacking Midfielders 2024-25
Our database tracked 243 World Young Attacking Midfielders in the 2024-25 season, representing 210 clubs with a combined market value of €1.6B. The average market value for World Young Attacking Midfielders was €6.4M, with the average age at 21.6 years old.
The most valuable young attacking midfielder in the World was Jamal Musiala, worth €140.0M and played for Bayern Munich at 23 years old. The top 5 Young Attacking Midfielders averaged €118.0M in market value, including Xavi Simons and Jude Bellingham.
Age distribution showed the youngest tracked young attacking midfielder was Kendry Páez (18 years, RC Strasbourg Alsace, €10.0M), while the oldest was Jamal Musiala (23 years, Bayern Munich, €140.0M). Research shows Young Attacking Midfielders typically peak at age 26.
Historical analysis showed 243 Young Attacking Midfielders (100%) 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 Young 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 Young Attacking Midfielders. Identify undervalued assets and track market momentum across 210 clubs with €1.6B combined value.
Age Distribution: World Young Attacking Midfielders
The World CAM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (187 players, 77% of market). The 21-23 age group holds the most value at €1.3B, averaging €7.2M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (56 players)
21-23 Years (187 players)
Market Value Distribution
Elite Tier Concentration
The top 25 Young Attacking Midfielders (10% of players) control €1.1B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the World CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Young Attacking Midfielders
Among 210 World clubs, Real Madrid leads with 2 Young Attacking Midfielders worth €240.0M (averaging €120.0M per player). The top 10 clubs account for 6% of tracked Young Attacking Midfielders.
Real Madrid (2 Young Attacking Midfielders)
Bayern Munich (1 Young Attacking Midfielders)
Liverpool FC (1 Young Attacking Midfielders)
Aston Villa (2 Young 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.
Jamal Musiala
Bayern Munich • 23 years old
€121.1M
€140.0M
+15.6%
Expected: €156.0M
95.5
Xavi Simons
Tottenham Hotspur • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
95.3
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
Arda Güler
Real Madrid • 21 years old
€51.9M
€60.0M
+15.6%
Expected: €68.8M
90.3
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €63.1M
86.1
Ethan Nwaneri
Arsenal FC • 19 years old
€47.6M
€55.0M
+15.6%
Expected: €68.2M
85.9
Morgan Rogers
Aston Villa • 23 years old
€47.6M
€55.0M
+15.6%
Expected: €61.3M
83.8
Enzo Millot
Al-Ahli SFC • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
64.0
Georgiy Sudakov
SL Benfica • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.7M
61.1
Harvey Elliott
Aston Villa • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €33.4M
56.5
Bilal El Khannouss
VfB Stuttgart • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
54.6
Aleksey Batrakov
Lokomotiv Moscow • 20 years old
€19.9M
€23.0M
+15.6%
Expected: €27.4M
49.0
Omari Hutchinson
Nottingham Forest • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €24.2M
48.5
Julio Enciso
RC Strasbourg Alsace • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €24.2M
48.5
James McAtee
Nottingham Forest • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €22.3M
46.7
Gabri Veiga
FC Porto • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €22.3M
46.4
Facundo Buonanotte
Chelsea FC • 21 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
46.4
Hákon Arnar Haraldsson
LOSC Lille • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €20.1M
44.8
Antoni Milambo
Brentford FC • 21 years old
€15.6M
€18.0M
+15.6%
Expected: €20.7M
44.1
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 180.00×. That means Jude Bellingham is valued 180.00× 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 23 years old, with a 140.00× PPVE. Third is Florian Wirtz of Liverpool FC, who is 22 years old with a 140.00× 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 180.00× means the player is worth 17900% 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 | €1.0M | 180.00× |
| #2 | Jamal Musiala Bayern Munich | 23 | 21-23 | €140.0M | €1.0M | 140.00× |
| #3 | Florian Wirtz Liverpool FC | 22 | 21-23 | €140.0M | €1.0M | 140.00× |
| #4 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €70.0M | €1.0M | 70.00× |
| #5 | Ethan Nwaneri Arsenal FC | 19 | U21 | €55.0M | €800K | 68.75× |
| #6 | Arda Güler Real Madrid | 21 | 21-23 | €60.0M | €1.0M | 60.00× |
| #7 | Morgan Rogers Aston Villa | 23 | 21-23 | €55.0M | €1.0M | 55.00× |
| #8 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €1.0M | 55.00× |
| #9 | Enzo Millot Al-Ahli SFC | 23 | 21-23 | €35.0M | €1.0M | 35.00× |
| #10 | Georgiy Sudakov SL Benfica | 23 | 21-23 | €32.0M | €1.0M | 32.00× |
| #11 | Harvey Elliott Aston Villa | 23 | 21-23 | €30.0M | €1.0M | 30.00× |
| #12 | Aleksey Batrakov Lokomotiv Moscow | 20 | U21 | €23.0M | €800K | 28.75× |
| #13 | Bilal El Khannouss VfB Stuttgart | 21 | 21-23 | €28.0M | €1.0M | 28.00× |
| #14 | Can Uzun Eintracht Frankfurt | 20 | U21 | €18.0M | €800K | 22.50× |
| #15 | Paul Wanner PSV Eindhoven | 20 | U21 | €18.0M | €800K | 22.50× |
| #16 | Julio Enciso RC Strasbourg Alsace | 22 | 21-23 | €22.0M | €1.0M | 22.00× |
| #17 | Omari Hutchinson Nottingham Forest | 22 | 21-23 | €22.0M | €1.0M | 22.00× |
| #18 | James McAtee Nottingham Forest | 23 | 21-23 | €20.0M | €1.0M | 20.00× |
| #19 | Gabri Veiga FC Porto | 23 | 21-23 | €20.0M | €1.0M | 20.00× |
| #20 | Facundo Buonanotte Chelsea FC | 21 | 21-23 | €20.0M | €1.0M | 20.00× |
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 NK Maribor's David Pejičić, who is 18 years old, with a +44% RPP (8 years to peak). Third is Kendry Páez of RC Strasbourg Alsace, 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 | David Pejičić NK Maribor | 18 | 8 | €1.0M | €1.8M | +44% |
| #3 | Kendry Páez RC Strasbourg Alsace | 18 | 8 | €10.0M | €17.9M | +44% |
| #4 | Patrice Covic SV Werder Bremen | 18 | 8 | €2.5M | €4.5M | +44% |
| #5 | Fletcher Boyd Aston Villa U21 | 18 | 8 | €300K | €536K | +44% |
| #6 | Lorran Pisa Sporting Club | 19 | 7 | €9.0M | €15.0M | +40% |
| #7 | Santiago Segovia CA Rosario Central | 19 | 7 | €250K | €415K | +40% |
| #8 | Isaque Shakhtar Donetsk | 19 | 7 | €7.0M | €11.6M | +40% |
| #9 | Yago Noal SC Internacional U20 | 19 | 7 | €500K | €831K | +40% |
| #10 | Álvaro Montoro Botafogo de Futebol e Regatas | 19 | 7 | €8.0M | €13.3M | +40% |
| #11 | Jandry Gómez Barcelona SC Guayaquil | 19 | 7 | €300K | €499K | +40% |
| #12 | Farouck Adekami Royal Antwerp FC | 19 | 7 | €600K | €997K | +40% |
| #13 | Karol Borys NK Maribor | 19 | 7 | €1.2M | €2.0M | +40% |
| #14 | Ethan Nwaneri Arsenal FC | 19 | 7 | €55.0M | €91.4M | +40% |
| #15 | Andrey Ivlev FC Pari Nizhniy Novgorod | 19 | 7 | €800K | €1.3M | +40% |
| #16 | Viktor Okishor Dynamo 2 Moscow | 19 | 7 | €500K | €831K | +40% |
| #17 | Rudi Molotnikov Hibernian FC | 19 | 7 | €400K | €665K | +40% |
| #18 | Naj Razi Without Club | 19 | 7 | €300K | €499K | +40% |
| #19 | Alphadjo Cissè US Catanzaro | 19 | 7 | €2.0M | €3.3M | +40% |
| #20 | Osmar Giménez Club General Caballero (JLM) | 19 | 7 | €375K | €623K | +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 56.0. That means Ethan Nwaneri has 24% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is RC Strasbourg Alsace's Kendry Páez 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 | Ethan Nwaneri Arsenal FC | €68.2M | €56.4M-79.9M | +24% | 56.0 |
| #2 | Kendry Páez RC Strasbourg Alsace | €12.3M | €10.2M-14.5M | +23% | 55.1 |
| #3 | Patrice Covic SV Werder Bremen | €3.1M | €2.6M-3.6M | +23% | 55.1 |
| #4 | Viggo Gebel RB Leipzig U19 | €432K | €358K-507K | +23% | 55.1 |
| #5 | David Pejičić NK Maribor | €1.2M | €1.0M-1.4M | +23% | 55.1 |
| #6 | Fletcher Boyd Aston Villa U21 | €370K | €307K-434K | +23% | 55.1 |
| #7 | Can Uzun Eintracht Frankfurt | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #8 | Paul Wanner PSV Eindhoven | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #9 | Bence Dárdai VfL Wolfsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #10 | Aleksey Batrakov Lokomotiv Moscow | €27.4M | €22.7M-32.2M | +19% | 47.0 |
| #11 | Jandry Gómez Barcelona SC Guayaquil | €357K | €296K-419K | +19% | 46.4 |
| #12 | Farouck Adekami Royal Antwerp FC | €714K | €591K-838K | +19% | 46.4 |
| #13 | Karol Borys NK Maribor | €1.4M | €1.2M-1.7M | +19% | 46.4 |
| #14 | Naj Razi Without Club | €357K | €296K-419K | +19% | 46.4 |
| #15 | Santiago Segovia CA Rosario Central | €298K | €246K-349K | +19% | 46.4 |
| #16 | Yago Noal SC Internacional U20 | €595K | €493K-698K | +19% | 46.4 |
| #17 | Álvaro Montoro Botafogo de Futebol e Regatas | €9.5M | €7.9M-11.2M | +19% | 46.4 |
| #18 | Viktor Okishor Dynamo 2 Moscow | €595K | €493K-698K | +19% | 46.4 |
| #19 | Alphadjo Cissè US Catanzaro | €2.4M | €2.0M-2.8M | +19% | 46.4 |
| #20 | Lorran Pisa Sporting Club | €10.7M | €8.9M-12.6M | +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: young 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)
Huachipato FC's Kevin Altez in the 21-23 age bracket has the highest Age-Share Concentration at +9.4%. That means Jamal Musiala captures 86.4% of total market value while representing only 77.0% of players in their age group—showing dominant elite status.
In second is Deportes Limache's Agustín Arce with a +9.4% ASC (86.4% value share vs 77.0% player share in 21-23 bracket). Third is Juan Torres of Deportes Tolima with a +9.4% ASC (86.4% value vs 77.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +9.4% ASC means the player captures 9.4% 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 | Kevin Altez Huachipato FC | 21-23 | 86.4% | 77.0% | +9.4% |
| #2 | Agustín Arce Deportes Limache | 21-23 | 86.4% | 77.0% | +9.4% |
| #3 | Juan Torres Deportes Tolima | 21-23 | 86.4% | 77.0% | +9.4% |
| #4 | Juan Francisco Rossel CD Universidad Católica | 21-23 | 86.4% | 77.0% | +9.4% |
| #5 | Maksim Boldyrev Akron Togliatti | 21-23 | 86.4% | 77.0% | +9.4% |
| #6 | Juan Vedia Club A.B.B. | 21-23 | 86.4% | 77.0% | +9.4% |
| #7 | Asier Osambela CA Osasuna Promesas | 21-23 | 86.4% | 77.0% | +9.4% |
| #8 | Rubén Lezcano Fluminense Football Club | 21-23 | 86.4% | 77.0% | +9.4% |
| #9 | Robert Santos Atlético Clube Goianiense | 21-23 | 86.4% | 77.0% | +9.4% |
| #10 | Peio Canales Racing Santander | 21-23 | 86.4% | 77.0% | +9.4% |
| #11 | Miguelito América Futebol Clube (MG) | 21-23 | 86.4% | 77.0% | +9.4% |
| #12 | Martín Maturana Deportes Santa Cruz | 21-23 | 86.4% | 77.0% | +9.4% |
| #13 | Jonathan Silva Calcio Padova | 21-23 | 86.4% | 77.0% | +9.4% |
| #14 | Yan Phillipe Atlético de San Luis | 21-23 | 86.4% | 77.0% | +9.4% |
| #15 | Allan Sociedade Esportiva Palmeiras | 21-23 | 86.4% | 77.0% | +9.4% |
| #16 | Guilherme Estrella Clube de Regatas Vasco da Gama | 21-23 | 86.4% | 77.0% | +9.4% |
| #17 | Alán Bautista CF Pachuca | 21-23 | 86.4% | 77.0% | +9.4% |
| #18 | Sergio Hernández CD Everton | 21-23 | 86.4% | 77.0% | +9.4% |
| #19 | Lautaro Godoy Club Atlético Tucumán | 21-23 | 86.4% | 77.0% | +9.4% |
| #20 | Rodrigo Vásquez Unión Española | 21-23 | 86.4% | 77.0% | +9.4% |
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: 25 immediate targets, 218 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
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, 33 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Simone Pafundi UC Sampdoria | €5.0M | €900K | -1.33 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €900K | -1.00 | Good Value |
Giannis Konstantelias PAOK Thessaloniki | €17.0M | €900K | -0.75 | Good Value |
Isaque Shakhtar Donetsk | €7.0M | €900K | -0.67 | Good Value |
Jakob Breum Go Ahead Eagles | €5.0M | €900K | -0.63 | Good Value |
Nikita Krivtsov FC Krasnodar | €5.0M | €900K | -0.63 | Good Value |
Miguel Monsalve Grêmio Foot-Ball Porto Alegrense | €5.0M | €900K | -0.63 | Good Value |
Santiago Segovia CA Rosario Central | €250K | €900K | -0.58 | Good Value |
Elkin Muñoz CS Emelec | €250K | €900K | -0.58 | Good Value |
Nuha Jatta VfB Stuttgart II | €250K | €900K | -0.58 | Good Value |
Axel Montaña CS Cerrito | €275K | €900K | -0.54 | Good Value |
Fletcher Boyd Aston Villa U21 | €300K | €900K | -0.50 | Fair Value |
Amín Molinas Club Sportivo 2 de Mayo | €300K | €900K | -0.50 | Fair Value |
Jandry Gómez Barcelona SC Guayaquil | €300K | €900K | -0.50 | Fair Value |
Jailerth Navarro Metropolitanos FC | €300K | €900K | -0.50 | Fair Value |
Hákon Arnar Haraldsson LOSC Lille | €18.0M | €900K | -0.50 | Fair Value |
Antoni Milambo Brentford FC | €18.0M | €900K | -0.50 | Fair Value |
Naj Razi Without Club | €300K | €900K | -0.50 | Fair Value |
Viggo Gebel RB Leipzig U19 | €350K | €900K | -0.42 | Fair Value |
Harvey Elliott Aston Villa | €30.0M | €900K | -0.40 | Fair Value |