Best U23 Young Attacking Midfielders in the Scottish Premiership
265 players aged 23 or under · ranked by Analytical Strength Score
Best Young Attacking Midfielders in the Scottish Premiership (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Scottish Premiership Young Attacking Midfielders 2022-23
Our database tracked 263 Scottish Premiership Young Attacking Midfielders in the 2022-23 season, representing 214 clubs with a combined market value of €2.0B. The average market value for Scottish Premiership Young Attacking Midfielders was €7.6M, with the average age at 21.6 years old.
The most valuable young attacking midfielder in the Scottish Premiership was Jamal Musiala, worth €140.0M and played for Bayern Munich at 23 years old. The top 5 Young Attacking Midfielders averaged €130.0M in market value, including Cole Palmer and Jude Bellingham.
Age distribution showed the youngest tracked young attacking midfielder was Rodrigo Mora (18 years, FC Porto, €40.0M), 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 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 Scottish Premiership market for Young 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 Scottish Premiership
Interactive bubble chart showing predicted 2-year growth vs current age for all Scottish Premiership Young Attacking Midfielders. Identify undervalued assets and track market momentum across 214 clubs with €2.0B combined value.
Age Distribution: Scottish Premiership Young Attacking Midfielders
The Scottish Premiership CAM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (201 players, 76% of market). The 21-23 age group holds the most value at €1.7B, averaging €8.3M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (62 players)
21-23 Years (201 players)
Market Value Distribution
Elite Tier Concentration
The top 27 Young Attacking Midfielders (10% of players) control €1.4B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 4% of the Scottish Premiership CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Scottish Premiership Young Attacking Midfielders
Among 214 Scottish Premiership 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)
Chelsea FC (2 Young Attacking Midfielders)
Liverpool FC (1 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
Cole Palmer
Chelsea FC • 23 years old
€103.8M
€120.0M
+15.6%
Expected: €133.7M
95.5
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 • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
92.2
Fermín López
FC Barcelona • 22 years old
€51.9M
€60.0M
+15.6%
Expected: €66.1M
89.8
Morgan Rogers
Aston Villa • 23 years old
€47.6M
€55.0M
+15.6%
Expected: €61.3M
89.2
Arda Güler
Real Madrid • 21 years old
€51.9M
€60.0M
+15.6%
Expected: €68.8M
89.2
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €63.1M
88.0
Ethan Nwaneri
Arsenal FC • 19 years old
€47.6M
€55.0M
+15.6%
Expected: €68.2M
86.9
Enzo Millot
Al-Ahli SFC • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
83.4
Malik Tillman
Bayer 04 Leverkusen • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.7M
82.6
Georgiy Sudakov
SL Benfica • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.7M
82.3
Rodrigo Mora
FC Porto • 18 years old
€34.6M
€40.0M
+15.6%
Expected: €51.4M
81.9
Harvey Elliott
Aston Villa • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €33.4M
78.8
Bilal El Khannouss
VfB Stuttgart • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
76.7
Paul Nebel
1.FSV Mainz 05 • 23 years old
€20.8M
€24.0M
+15.6%
Expected: €26.7M
76.1
Omari Hutchinson
Nottingham Forest • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €24.2M
74.4
Julio Enciso
RC Strasbourg Alsace • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €24.2M
74.4
James McAtee
Nottingham Forest • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €22.3M
73.8
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 120.00×. That means Jude Bellingham is valued 120.00× 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 93.33× PPVE. Third is Florian Wirtz of Liverpool FC, who is 22 years old with a 93.33× 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 120.00× means the player is worth 11900% 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 | €1.5M | 120.00× |
| #2 | Jamal Musiala Bayern Munich | 23 | 21-23 | €140.0M | €1.5M | 93.33× |
| #3 | Florian Wirtz Liverpool FC | 22 | 21-23 | €140.0M | €1.5M | 93.33× |
| #4 | Cole Palmer Chelsea FC | 23 | 21-23 | €120.0M | €1.5M | 80.00× |
| #5 | Ethan Nwaneri Arsenal FC | 19 | U21 | €55.0M | €1.0M | 55.00× |
| #6 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €70.0M | €1.5M | 46.67× |
| #7 | Fermín López FC Barcelona | 22 | 21-23 | €60.0M | €1.5M | 40.00× |
| #8 | Arda Güler Real Madrid | 21 | 21-23 | €60.0M | €1.5M | 40.00× |
| #9 | Rodrigo Mora FC Porto | 18 | U21 | €40.0M | €1.0M | 40.00× |
| #10 | Morgan Rogers Aston Villa | 23 | 21-23 | €55.0M | €1.5M | 36.67× |
| #11 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €1.5M | 36.67× |
| #12 | Enzo Millot Al-Ahli SFC | 23 | 21-23 | €35.0M | €1.5M | 23.33× |
| #13 | Aleksey Batrakov Lokomotiv Moscow | 20 | U21 | €23.0M | €1.0M | 23.00× |
| #14 | Konstantinos Karetsas KRC Genk | 18 | U21 | €23.0M | €1.0M | 23.00× |
| #15 | Malik Tillman Bayer 04 Leverkusen | 23 | 21-23 | €32.0M | €1.5M | 21.33× |
| #16 | Georgiy Sudakov SL Benfica | 23 | 21-23 | €32.0M | €1.5M | 21.33× |
| #17 | Harvey Elliott Aston Villa | 23 | 21-23 | €30.0M | €1.5M | 20.00× |
| #18 | Bilal El Khannouss VfB Stuttgart | 21 | 21-23 | €28.0M | €1.5M | 18.67× |
| #19 | Can Uzun Eintracht Frankfurt | 20 | U21 | €18.0M | €1.0M | 18.00× |
| #20 | Paul Wanner PSV Eindhoven | 20 | U21 | €18.0M | €1.0M | 18.00× |
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 KRC Genk's Konstantinos Karetsas, who is 18 years old, with a +44% RPP (8 years to peak). Third is David Pejičić of NK Maribor, 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 | Konstantinos Karetsas KRC Genk | 18 | 8 | €23.0M | €41.1M | +44% |
| #3 | David Pejičić NK Maribor | 18 | 8 | €1.0M | €1.8M | +44% |
| #4 | Kendry Páez RC Strasbourg Alsace | 18 | 8 | €10.0M | €17.9M | +44% |
| #5 | Patrice Covic SV Werder Bremen | 18 | 8 | €2.5M | €4.5M | +44% |
| #6 | Francis Onyeka VfL Bochum | 18 | 8 | €500K | €894K | +44% |
| #7 | Rodrigo Mora FC Porto | 18 | 8 | €40.0M | €71.5M | +44% |
| #8 | Lorran Pisa Sporting Club | 19 | 7 | €9.0M | €15.0M | +40% |
| #9 | Isaque Shakhtar Donetsk | 19 | 7 | €7.0M | €11.6M | +40% |
| #10 | Yago Noal SC Internacional U20 | 19 | 7 | €500K | €831K | +40% |
| #11 | Álvaro Montoro Botafogo de Futebol e Regatas | 19 | 7 | €8.0M | €13.3M | +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 | Vasilije Adžić Juventus FC | 19 | 7 | €8.0M | €13.3M | +40% |
| #18 | Rudi Molotnikov Hibernian FC | 19 | 7 | €400K | €665K | +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)
FC Porto's Rodrigo Mora has the highest Risk-Adjusted Upside at 64.3. That means Rodrigo Mora has 29% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is KRC Genk's Konstantinos Karetsas with a 64.3 RAU (29% upside, 0% uncertainty). Third is Ethan Nwaneri of Arsenal 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 | Rodrigo Mora FC Porto | €51.4M | €42.5M-60.3M | +29% | 64.3 |
| #2 | Konstantinos Karetsas KRC Genk | €29.6M | €24.5M-34.7M | +29% | 64.3 |
| #3 | Ethan Nwaneri Arsenal FC | €68.2M | €56.4M-79.9M | +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 | 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 | Francis Onyeka VfL Bochum | €617K | €511K-724K | +23% | 55.1 |
| #9 | Can Uzun Eintracht Frankfurt | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #10 | Paul Wanner PSV Eindhoven | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #11 | Claudio Echeverri Bayer 04 Leverkusen | €21.5M | €17.8M-25.2M | +19% | 47.0 |
| #12 | Bence Dárdai VfL Wolfsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #13 | Ibrahim Maza Bayer 04 Leverkusen | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #14 | Aleksey Batrakov Lokomotiv Moscow | €27.4M | €22.7M-32.2M | +19% | 47.0 |
| #15 | Farouck Adekami Royal Antwerp FC | €714K | €591K-838K | +19% | 46.4 |
| #16 | Karol Borys NK Maribor | €1.4M | €1.2M-1.7M | +19% | 46.4 |
| #17 | Yago Noal SC Internacional U20 | €595K | €493K-698K | +19% | 46.4 |
| #18 | Álvaro Montoro Botafogo de Futebol e Regatas | €9.5M | €7.9M-11.2M | +19% | 46.4 |
| #19 | Viktor Okishor Dynamo 2 Moscow | €595K | €493K-698K | +19% | 46.4 |
| #20 | Vasilije Adžić Juventus FC | €9.5M | €7.9M-11.2M | +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)
Club Athletico Paranaense's Dudu in the U21 age bracket has the highest Age-Share Concentration at +-7.4%. That means Ethan Nwaneri captures 16.2% of total market value while representing only 23.6% of players in their age group—showing dominant elite status.
In second is Panathinaikos FC's Adriano Bregou with a +-7.4% ASC (16.2% value share vs 23.6% player share in U21 bracket). Third is Lorran of Pisa Sporting Club with a +-7.4% ASC (16.2% value vs 23.6% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-7.4% ASC means the player captures -7.4% 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 | Dudu Club Athletico Paranaense | U21 | 16.2% | 23.6% | -7.4% |
| #2 | Adriano Bregou Panathinaikos FC | U21 | 16.2% | 23.6% | -7.4% |
| #3 | Lorran Pisa Sporting Club | U21 | 16.2% | 23.6% | -7.4% |
| #4 | David Pejičić NK Maribor | U21 | 16.2% | 23.6% | -7.4% |
| #5 | Matija Popović CSKA Moscow | U21 | 16.2% | 23.6% | -7.4% |
| #6 | Tibe De Vlieger KAA Gent | U21 | 16.2% | 23.6% | -7.4% |
| #7 | Andrea Bonanomi Atalanta U23 | U21 | 16.2% | 23.6% | -7.4% |
| #8 | Artur Shakh Karpaty Lviv | U21 | 16.2% | 23.6% | -7.4% |
| #9 | Kendry Páez RC Strasbourg Alsace | U21 | 16.2% | 23.6% | -7.4% |
| #10 | Lucas Pino Montevideo City Torque | U21 | 16.2% | 23.6% | -7.4% |
| #11 | Viggo Gebel RB Leipzig U19 | U21 | 16.2% | 23.6% | -7.4% |
| #12 | Amorim FC Alverca | U21 | 16.2% | 23.6% | -7.4% |
| #13 | Jordan Barrera Botafogo de Futebol e Regatas | U21 | 16.2% | 23.6% | -7.4% |
| #14 | Iker Fimbres CF Monterrey | U21 | 16.2% | 23.6% | -7.4% |
| #15 | Patrice Covic SV Werder Bremen | U21 | 16.2% | 23.6% | -7.4% |
| #16 | Louis Leroux FC Nantes | U21 | 16.2% | 23.6% | -7.4% |
| #17 | Foe Ondoa UD Oliveirense | U21 | 16.2% | 23.6% | -7.4% |
| #18 | Isaque Shakhtar Donetsk | U21 | 16.2% | 23.6% | -7.4% |
| #19 | Yago Noal SC Internacional U20 | U21 | 16.2% | 23.6% | -7.4% |
| #20 | Osmar Giménez Club General Caballero (JLM) | U21 | 16.2% | 23.6% | -7.4% |
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: 27 immediate targets, 236 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 €600K. 0 undervalued, 27 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mert Kömür FC Augsburg | €5.0M | €1.4M | -1.00 | Good Value |
Simone Pafundi UC Sampdoria | €5.0M | €1.4M | -1.00 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €1.4M | -1.00 | Good Value |
Fer López Wolverhampton Wanderers | €5.0M | €1.4M | -0.75 | Good Value |
Giannis Konstantelias PAOK Thessaloniki | €17.0M | €1.4M | -0.75 | Good Value |
Jakob Breum Go Ahead Eagles | €5.0M | €1.4M | -0.75 | Good Value |
Nikita Krivtsov FC Krasnodar | €5.0M | €1.4M | -0.75 | Good Value |
Miguel Monsalve Grêmio Foot-Ball Porto Alegrense | €5.0M | €1.4M | -0.75 | Good Value |
Harvey Elliott Aston Villa | €30.0M | €1.4M | -0.67 | Good Value |
Matheus Alves CSKA Moscow | €6.0M | €1.4M | -0.50 | Fair Value |
Tomas Suslov Hellas Verona | €6.0M | €1.4M | -0.50 | Fair Value |
Gaetano Oristanio Parma Calcio 1913 | €6.0M | €1.4M | -0.50 | Fair Value |
Hákon Arnar Haraldsson LOSC Lille | €18.0M | €1.4M | -0.50 | Fair Value |
Antoni Milambo Brentford FC | €18.0M | €1.4M | -0.50 | Fair Value |
Pablo Torre RCD Mallorca | €6.0M | €1.4M | -0.50 | Fair Value |
Rodriguinho São Paulo Futebol Clube | €6.0M | €1.4M | -0.50 | Fair Value |
Justin Devenny Crystal Palace | €6.0M | €1.4M | -0.50 | Fair Value |
Unai Gómez Athletic Bilbao | €6.0M | €1.4M | -0.50 | Fair Value |
Artem Sokolov Chaika Peschanokopskoe | €350K | €1.4M | -0.42 | Fair Value |
Konstantin Shiltsov Neftekhimik Nizhnekamsk | €350K | €1.4M | -0.42 | Fair Value |