Best U23 Young Attacking Midfielders in the World
264 players aged 23 or under · ranked by Analytical Strength Index
Best Young Attacking Midfielders in the World (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: World Young Attacking Midfielders 2023-24
Our database tracked 263 World Young Attacking Midfielders in the 2023-24 season, representing 226 clubs with a combined market value of €1.7B. The average market value for World Young Attacking Midfielders was €6.3M, with the average age at 21 years old.
The most valuable young attacking midfielder in the World was Florian Wirtz, worth €110.0M and played for Liverpool FC at 23 years old. The top 5 Young Attacking Midfielders averaged €108.0M in market value, including Fermín López and Jamal Musiala.
Age distribution showed the youngest tracked young attacking midfielder was Konstantinos Karetsas (18 years, KRC Genk, €28.0M), while the oldest was Florian Wirtz (23 years, Liverpool FC, €110.0M). Research shows Young Attacking Midfielders typically peak at age 26.
Historical analysis showed 263 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 2023-24 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 226 clubs with €1.7B 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 (199 players, 76% of market). The 21-23 age group holds the most value at €1.4B, averaging €7.1M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (64 players)
21-23 Years (199 players)
Market Value Distribution
Elite Tier Concentration
The top 27 Young Attacking Midfielders (10% of players) control €1.2B
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 226 World clubs, Real Madrid leads with 1 Young Attacking Midfielders worth €160.0M (averaging €160.0M per player). The top 10 clubs account for 5% of tracked Young Attacking Midfielders.
Real Madrid (1 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 Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
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
Jamal Musiala
Bayern Munich • 23 years old
€112.4M
€130.0M
+15.6%
Expected: €144.9M
95.5
Morgan Rogers
Aston Villa • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
95.3
Jude Bellingham
Real Madrid • 22 years old
€138.4M
€160.0M
+15.6%
Expected: €176.3M
94.4
Nico Paz
Como 1907 • 21 years old
€56.2M
€65.0M
+15.6%
Expected: €74.6M
92.4
Xavi Simons
Tottenham Hotspur • 23 years old
€51.9M
€60.0M
+15.6%
Expected: €66.9M
88.6
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
Bilal El Khannouss
VfB Stuttgart • 22 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
61.6
Omari Hutchinson
Nottingham Forest • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €33.0M
56.6
Harvey Elliott
Aston Villa • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €33.4M
56.5
Georgiy Sudakov
SL Benfica • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €33.4M
56.2
Konstantinos Karetsas
KRC Genk • 18 years old
€24.2M
€28.0M
+15.6%
Expected: €36.0M
55.2
Enzo Millot
Al-Ahli SFC • 23 years old
€24.2M
€28.0M
+15.6%
Expected: €31.2M
54.2
Ibrahim Maza
Bayer 04 Leverkusen • 20 years old
€21.6M
€25.0M
+15.6%
Expected: €29.8M
51.5
James McAtee
Nottingham Forest • 23 years old
€19.9M
€23.0M
+15.6%
Expected: €25.6M
49.7
Hákon Arnar Haraldsson
LOSC Lille • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €24.5M
48.7
Julio Enciso
RC Strasbourg Alsace • 22 years old
€17.3M
€20.0M
+15.6%
Expected: €22.0M
46.4
Giannis Konstantelias
PAOK Thessaloniki • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €22.3M
46.4
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 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 Bayern Munich's Jamal Musiala, who is 23 years old, with a 130.00× PPVE. Third is Florian Wirtz of Liverpool FC, who is 23 years old with a 110.00× 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 | Jamal Musiala Bayern Munich | 23 | 21-23 | €130.0M | €1.0M | 130.00× |
| #3 | Florian Wirtz Liverpool FC | 23 | 21-23 | €110.0M | €1.0M | 110.00× |
| #4 | Morgan Rogers Aston Villa | 23 | 21-23 | €70.0M | €1.0M | 70.00× |
| #5 | Fermín López FC Barcelona | 23 | 21-23 | €70.0M | €1.0M | 70.00× |
| #6 | Nico Paz Como 1907 | 21 | 21-23 | €65.0M | €1.0M | 65.00× |
| #7 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €60.0M | €1.0M | 60.00× |
| #8 | Rayan Cherki Manchester City | 22 | 21-23 | €50.0M | €1.0M | 50.00× |
| #9 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €900K | 50.00× |
| #10 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €32.0M | €1.0M | 32.00× |
| #11 | Konstantinos Karetsas KRC Genk | 18 | U21 | €28.0M | €900K | 31.11× |
| #12 | Harvey Elliott Aston Villa | 23 | 21-23 | €30.0M | €1.0M | 30.00× |
| #13 | Georgiy Sudakov SL Benfica | 23 | 21-23 | €30.0M | €1.0M | 30.00× |
| #14 | Omari Hutchinson Nottingham Forest | 22 | 21-23 | €30.0M | €1.0M | 30.00× |
| #15 | Enzo Millot Al-Ahli SFC | 23 | 21-23 | €28.0M | €1.0M | 28.00× |
| #16 | Ibrahim Maza Bayer 04 Leverkusen | 20 | U21 | €25.0M | €900K | 27.78× |
| #17 | James McAtee Nottingham Forest | 23 | 21-23 | €23.0M | €1.0M | 23.00× |
| #18 | Josh King Fulham FC | 19 | U21 | €20.0M | €900K | 22.22× |
| #19 | Hákon Arnar Haraldsson LOSC Lille | 23 | 21-23 | €22.0M | €1.0M | 22.00× |
| #20 | Giannis Konstantelias PAOK Thessaloniki | 23 | 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 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 | Olger Escobar CF Montréal | 19 | 7 | €300K | €499K | +40% |
| #8 | Filip Zivkovic NK Osijek | 19 | 7 | €300K | €499K | +40% |
| #9 | Bartosz Mazurek Jagiellonia Bialystok | 19 | 7 | €600K | €997K | +40% |
| #10 | Lovre Kulusic HNK Vukovar 1991 | 19 | 7 | €500K | €831K | +40% |
| #11 | Santiago Segovia CA Rosario Central | 19 | 7 | €250K | €415K | +40% |
| #12 | Allan Oyirwoth New England Revolution | 19 | 7 | €400K | €665K | +40% |
| #13 | Isaque Shakhtar Donetsk | 19 | 7 | €8.0M | €13.3M | +40% |
| #14 | Yago Noal SC Internacional U20 | 19 | 7 | €500K | €831K | +40% |
| #15 | Flávio Gonçalves Sporting CP B | 19 | 7 | €1.0M | €1.7M | +40% |
| #16 | Yuto Baigorria Fagiano Okayama | 19 | 7 | €250K | €415K | +40% |
| #17 | Karol Borys NK Maribor | 19 | 7 | €1.0M | €1.7M | +40% |
| #18 | Andrey Ivlev FC Pari Nizhniy Novgorod | 19 | 7 | €1.2M | €2.0M | +40% |
| #19 | Viktor Okishor Dynamo Moscow | 19 | 7 | €500K | €831K | +40% |
| #20 | Bartłomiej Barański GKS Tychy | 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 Fulham FC's Josh King with a 56.0 RAU (24% upside, 0% uncertainty). Third is Viggo Gebel of RB Leipzig U19 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 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 | Josh King Fulham FC | €24.8M | €20.5M-29.1M | +24% | 56.0 |
| #3 | Viggo Gebel RB Leipzig U19 | €432K | €358K-507K | +23% | 55.1 |
| #4 | David Pejičić NK Maribor | €1.2M | €1.0M-1.4M | +23% | 55.1 |
| #5 | Patrice Covic SV Werder Bremen | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #6 | Darryl Bakola US Sassuolo | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #7 | Justin Lerma Independiente del Valle | €3.7M | €3.1M-4.3M | +23% | 55.1 |
| #8 | Can Uzun Eintracht Frankfurt | €53.7M | €44.4M-63.0M | +19% | 47.0 |
| #9 | Mert Kömür FC Augsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #10 | Ibrahim Maza Bayer 04 Leverkusen | €29.8M | €24.7M-35.0M | +19% | 47.0 |
| #11 | Olger Escobar CF Montréal | €357K | €296K-419K | +19% | 46.4 |
| #12 | Filip Zivkovic NK Osijek | €357K | €296K-419K | +19% | 46.4 |
| #13 | Bartosz Mazurek Jagiellonia Bialystok | €714K | €591K-838K | +19% | 46.4 |
| #14 | Andrey Ivlev FC Pari Nizhniy Novgorod | €1.4M | €1.2M-1.7M | +19% | 46.4 |
| #15 | Bartłomiej Barański GKS Tychy | €357K | €296K-419K | +19% | 46.4 |
| #16 | Jakub Żewłakow Legia Warszawa | €536K | €443K-628K | +19% | 46.4 |
| #17 | Lovre Kulusic HNK Vukovar 1991 | €595K | €493K-698K | +19% | 46.4 |
| #18 | Santiago Segovia CA Rosario Central | €298K | €246K-349K | +19% | 46.4 |
| #19 | Isaque Shakhtar Donetsk | €9.5M | €7.9M-11.2M | +19% | 46.4 |
| #20 | Yago Noal SC Internacional U20 | €595K | €493K-698K | +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 strong 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)
Panetolikos GFS's Adriano Bregou in the U21 age bracket has the highest Age-Share Concentration at +-8.9%. That means Can Uzun captures 15.4% of total market value while representing only 24.3% of players in their age group-showing dominant elite status.
In second is NK Maribor's David Pejičić with a +-8.9% ASC (15.4% value share vs 24.3% player share in U21 bracket). Third is Josh King of Fulham FC with a +-8.9% ASC (15.4% value vs 24.3% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-8.9% ASC means the player captures -8.9% 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 | Adriano Bregou Panetolikos GFS | U21 | 15.4% | 24.3% | -8.9% |
| #2 | David Pejičić NK Maribor | U21 | 15.4% | 24.3% | -8.9% |
| #3 | Josh King Fulham FC | U21 | 15.4% | 24.3% | -8.9% |
| #4 | Matija Popović CSKA Moscow | U21 | 15.4% | 24.3% | -8.9% |
| #5 | Tibe De Vlieger KAA Gent | U21 | 15.4% | 24.3% | -8.9% |
| #6 | Olger Escobar CF Montréal | U21 | 15.4% | 24.3% | -8.9% |
| #7 | Andrea Bonanomi Atalanta U23 | U21 | 15.4% | 24.3% | -8.9% |
| #8 | Nikita Vasin Polonia Warsaw | U21 | 15.4% | 24.3% | -8.9% |
| #9 | Kendry Páez CA River Plate | U21 | 15.4% | 24.3% | -8.9% |
| #10 | Filip Zivkovic NK Osijek | U21 | 15.4% | 24.3% | -8.9% |
| #11 | Gonçalo Moreira SL Benfica B | U21 | 15.4% | 24.3% | -8.9% |
| #12 | Viggo Gebel RB Leipzig U19 | U21 | 15.4% | 24.3% | -8.9% |
| #13 | Ante Kavelj HNK Gorica | U21 | 15.4% | 24.3% | -8.9% |
| #14 | Jordan Barrera Botafogo de Futebol e Regatas | U21 | 15.4% | 24.3% | -8.9% |
| #15 | Patrice Covic SV Werder Bremen | U21 | 15.4% | 24.3% | -8.9% |
| #16 | Bartosz Mazurek Jagiellonia Bialystok | U21 | 15.4% | 24.3% | -8.9% |
| #17 | Louis Leroux FC Nantes | U21 | 15.4% | 24.3% | -8.9% |
| #18 | Marcel Regula Zaglebie Lubin | U21 | 15.4% | 24.3% | -8.9% |
| #19 | Jakub Żewłakow Legia Warszawa | U21 | 15.4% | 24.3% | -8.9% |
| #20 | Foe Ondoa UD Oliveirense | U21 | 15.4% | 24.3% | -8.9% |
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: 33 immediate targets, 230 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, 32 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Fer López Celta de Vigo | €16.0M | €1.0M | -1.00 | Good Value |
Merlin Röhl Everton FC | €16.0M | €1.0M | -1.00 | Good Value |
Marcel Regula Zaglebie Lubin | €5.0M | €1.0M | -0.75 | Good Value |
Stanis Idumbo AS Monaco | €5.0M | €1.0M | -0.75 | Good Value |
Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.0M | €1.0M | -0.75 | Good Value |
Josh King Fulham FC | €20.0M | €1.0M | -0.63 | Good Value |
Paul Nebel 1.FSV Mainz 05 | €18.0M | €1.0M | -0.50 | Fair Value |
Alphadjo Cissè US Catanzaro | €6.0M | €1.0M | -0.50 | Fair Value |
Facundo Buonanotte Leeds United | €18.0M | €1.0M | -0.50 | Fair Value |
Peio Canales Racing Santander | €5.0M | €1.0M | -0.44 | Fair Value |
Kacper Kozlowski Gaziantep FK | €5.0M | €1.0M | -0.44 | Fair Value |
Pablo Torre RCD Mallorca | €5.0M | €1.0M | -0.44 | Fair Value |
Brian Gutiérrez Deportivo Guadalajara | €5.0M | €1.0M | -0.44 | Fair Value |
Nikita Krivtsov FC Krasnodar | €5.0M | €1.0M | -0.44 | Fair Value |
Unai Gómez Athletic Bilbao | €5.0M | €1.0M | -0.44 | Fair Value |
Rokas Pukstas HNK Hajduk Split | €5.0M | €1.0M | -0.44 | Fair Value |
Nikita Vasin Polonia Warsaw | €250K | €1.0M | -0.38 | Fair Value |
Santiago Segovia CA Rosario Central | €250K | €1.0M | -0.38 | Fair Value |
Yuto Baigorria Fagiano Okayama | €250K | €1.0M | -0.38 | Fair Value |
Shamil Gadzhiev Dinamo Makhachkala | €250K | €1.0M | -0.38 | Fair Value |