Best Attacking Midfielders in the Scottish Premiership (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Scottish Premiership Attacking Midfielders 2025-26
Our database tracks 998 Scottish Premiership Attacking Midfielders in the 2025-26 season, representing 602 clubs with a combined market value of €4.8B. The average market value for Scottish Premiership Attacking Midfielders is €4.8M, with the average age at 26 years old.
The most valuable attacking midfielder in the Scottish Premiership is Jamal Musiala, worth €130.0M and playing for Bayern Munich at 23 years old. The top 5 Attacking Midfielders average €121.0M in market value, including Cole Palmer and Florian Wirtz.
Age distribution shows the youngest tracked attacking midfielder is Konstantinos Karetsas (18 years, KRC Genk, €28.0M), while the oldest is Dimitri Payet (39 years, Without Club, €500K). Research shows Attacking Midfielders typically peak at age 26.
Our 1-year forecast model projects 447 Attacking Midfielders (45%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Scottish Premiership market for Attacking Midfielders remains highly competitive with significant transfer activity expected in the 2025-26 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 602 clubs with €4.8B combined value.
Age Distribution: Scottish Premiership Attacking Midfielders
The Scottish Premiership CAM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (251 players, 25% of market). The 21-23 age group holds the most value at €1.6B, averaging €7.6M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (72 players)
21-23 Years (211 players)
24-26 Years (227 players)
27-29 Years (237 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Attacking Midfielders (10% of players) control €3.1B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Scottish Premiership CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Scottish Premiership Attacking Midfielders
Among 602 Scottish Premiership clubs, Real Madrid leads with 2 Attacking Midfielders worth €250.0M (averaging €125.0M per player). The top 10 clubs account for 2% of tracked Attacking Midfielders.
Real Madrid (2 Attacking Midfielders)
Liverpool FC (2 Attacking Midfielders)
Manchester City (3 Attacking Midfielders)
Arsenal FC (2 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.
Jamal Musiala
Bayern Munich • 23 years old
€112.4M
€130.0M
+15.6%
Expected: €144.9M
95.5
Cole Palmer
Chelsea FC • 24 years old
€103.8M
€120.0M
+15.6%
Expected: €127.9M
95.5
Florian Wirtz
Liverpool FC • 23 years old
€95.1M
€110.0M
+15.6%
Expected: €122.6M
95.5
Jude Bellingham
Real Madrid • 22 years old
€138.4M
€160.0M
+15.6%
Expected: €176.3M
94.4
Dominik Szoboszlai
Liverpool FC • 25 years old
€73.5M
€85.0M
+15.6%
Expected: €86.5M
93.7
Arda Güler
Real Madrid • 21 years old
€77.8M
€90.0M
+15.6%
Expected: €103.3M
93.3
Phil Foden
Manchester City • 26 years old
€69.2M
€80.0M
+15.6%
Expected: €85.7M
92.6
Fermín López
FC Barcelona • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
92.3
Morgan Rogers
Aston Villa • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €78.0M
92.2
Martin Ødegaard
Arsenal FC • 27 years old
€79.3M
€75.0M
-5.4%
Expected: €68.0M
91.8
Xavi Simons
Tottenham Hotspur • 23 years old
€51.9M
€60.0M
+15.6%
Expected: €66.9M
90.3
Eberechi Eze
Arsenal FC • 27 years old
€68.7M
€65.0M
-5.4%
Expected: €58.9M
90.1
Nico Paz
Como 1907 • 21 years old
€56.2M
€65.0M
+15.6%
Expected: €74.6M
90.0
Morgan Gibbs-White
Nottingham Forest • 26 years old
€56.2M
€65.0M
+15.6%
Expected: €69.7M
89.9
Dani Olmo
FC Barcelona • 28 years old
€77.5M
€60.0M
-22.6%
Expected: €54.4M
89.1
Rayan Cherki
Manchester City • 22 years old
€43.2M
€50.0M
+15.6%
Expected: €55.1M
87.6
Dejan Kulusevski
Tottenham Hotspur • 26 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
85.4
Can Uzun
Eintracht Frankfurt • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €53.7M
84.9
Bruno Fernandes
Manchester United • 31 years old
€51.7M
€40.0M
-22.6%
Expected: €34.3M
84.3
Oihan Sancet
Athletic Bilbao • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €42.9M
83.9
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 106.67×. That means Jude Bellingham is valued 106.67× 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 86.67× PPVE. Third is Cole Palmer of Chelsea FC, who is 24 years old with a 80.00× 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 106.67× means the player is worth 10567% 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 | €1.5M | 106.67× |
| #2 | Jamal Musiala Bayern Munich | 23 | 21-23 | €130.0M | €1.5M | 86.67× |
| #3 | Cole Palmer Chelsea FC | 24 | 24-26 | €120.0M | €1.5M | 80.00× |
| #4 | Florian Wirtz Liverpool FC | 23 | 21-23 | €110.0M | €1.5M | 73.33× |
| #5 | Arda Güler Real Madrid | 21 | 21-23 | €90.0M | €1.5M | 60.00× |
| #6 | Dominik Szoboszlai Liverpool FC | 25 | 24-26 | €85.0M | €1.5M | 56.67× |
| #7 | Morgan Rogers Aston Villa | 23 | 21-23 | €70.0M | €1.5M | 46.67× |
| #8 | Fermín López FC Barcelona | 23 | 21-23 | €70.0M | €1.5M | 46.67× |
| #9 | Nico Paz Como 1907 | 21 | 21-23 | €65.0M | €1.5M | 43.33× |
| #10 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €60.0M | €1.5M | 40.00× |
| #11 | Rayan Cherki Manchester City | 22 | 21-23 | €50.0M | €1.5M | 33.33× |
| #12 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €1.5M | 30.00× |
| #13 | Ethan Nwaneri Olympique Marseille | 19 | U21 | €40.0M | €1.5M | 26.67× |
| #14 | Rodrigo Mora FC Porto | 19 | U21 | €40.0M | €1.5M | 26.67× |
| #15 | Charles De Ketelaere Atalanta BC | 25 | 24-26 | €35.0M | €1.5M | 23.33× |
| #16 | Malik Tillman Bayer 04 Leverkusen | 24 | 24-26 | €35.0M | €1.5M | 23.33× |
| #17 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €32.0M | €1.5M | 21.33× |
| #18 | Mikkel Damsgaard Brentford FC | 25 | 24-26 | €30.0M | €1.5M | 20.00× |
| #19 | Harvey Elliott Aston Villa | 23 | 21-23 | €30.0M | €1.5M | 20.00× |
| #20 | Georgiy Sudakov SL Benfica | 23 | 21-23 | €30.0M | €1.5M | 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)
Independiente del Valle's Justin Lerma 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 | Justin Lerma Independiente del Valle | 18 | 8 | €3.0M | €5.4M | +44% |
| #2 | Konstantinos Karetsas KRC Genk | 18 | 8 | €28.0M | €50.0M | +44% |
| #3 | David Pejičić NK Maribor | 18 | 8 | €1.0M | €1.8M | +44% |
| #4 | Patrice Covic SV Werder Bremen | 18 | 8 | €4.0M | €7.1M | +44% |
| #5 | Darryl Bakola US Sassuolo | 18 | 8 | €4.0M | €7.1M | +44% |
| #6 | Lorran Pisa Sporting Club | 19 | 7 | €7.5M | €12.5M | +40% |
| #7 | Adrian Przyborek SS Lazio | 19 | 7 | €7.0M | €11.6M | +40% |
| #8 | Cyprian Popielec Zaglebie Lubin | 19 | 7 | €350K | €582K | +40% |
| #9 | Mateusz Szczepaniak Pogon Grodzisk Mazowiecki | 19 | 7 | €600K | €997K | +40% |
| #10 | Bartosz Mazurek Jagiellonia Bialystok | 19 | 7 | €600K | €997K | +40% |
| #11 | Lovre Kulusic HNK Vukovar 1991 | 19 | 7 | €500K | €831K | +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 | Karol Borys NK Maribor | 19 | 7 | €1.0M | €1.7M | +40% |
| #17 | Andrey Ivlev FC Pari Nizhniy Novgorod | 19 | 7 | €1.2M | €2.0M | +40% |
| #18 | Viktor Okishor Dynamo Moscow | 19 | 7 | €500K | €831K | +40% |
| #19 | João Simões Sporting CP | 19 | 7 | €15.0M | €24.9M | +40% |
| #20 | Josh King Fulham FC | 19 | 7 | €20.0M | €33.2M | +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 Sporting CP's João Simões with a 56.0 RAU (24% upside, 0% uncertainty). Third is Josh King of Fulham 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 | Konstantinos Karetsas KRC Genk | €36.0M | €29.8M-42.2M | +29% | 64.3 |
| #2 | João Simões Sporting CP | €18.6M | €15.4M-21.8M | +24% | 56.0 |
| #3 | Josh King Fulham FC | €24.8M | €20.5M-29.1M | +24% | 56.0 |
| #4 | Ethan Nwaneri Olympique Marseille | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #5 | Rodrigo Mora FC Porto | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #6 | David Pejičić NK Maribor | €1.2M | €1.0M-1.4M | +23% | 55.1 |
| #7 | Patrice Covic SV Werder Bremen | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #8 | Darryl Bakola US Sassuolo | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #9 | Justin Lerma Independiente del Valle | €3.7M | €3.1M-4.3M | +23% | 55.1 |
| #10 | Can Uzun Eintracht Frankfurt | €53.7M | €44.4M-63.0M | +19% | 47.0 |
| #11 | Claudio Echeverri Girona FC | €17.9M | €14.8M-21.0M | +19% | 47.0 |
| #12 | Paul Wanner PSV Eindhoven | €16.7M | €13.8M-19.6M | +19% | 47.0 |
| #13 | Mert Kömür FC Augsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #14 | Ibrahim Maza Bayer 04 Leverkusen | €29.8M | €24.7M-35.0M | +19% | 47.0 |
| #15 | Mateusz Szczepaniak Pogon Grodzisk Mazowiecki | €714K | €591K-838K | +19% | 46.4 |
| #16 | Bartosz Mazurek Jagiellonia Bialystok | €714K | €591K-838K | +19% | 46.4 |
| #17 | Andrey Ivlev FC Pari Nizhniy Novgorod | €1.4M | €1.2M-1.7M | +19% | 46.4 |
| #18 | Jakub Żewłakow Legia Warszawa | €536K | €443K-628K | +19% | 46.4 |
| #19 | Lovre Kulusic HNK Vukovar 1991 | €595K | €493K-698K | +19% | 46.4 |
| #20 | Isaque Shakhtar Donetsk | €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: 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)
RSC Anderlecht's Thorgan Hazard in the 30+ age bracket has the highest Age-Share Concentration at +-13.3%. That means Bruno Fernandes captures 11.8% of total market value while representing only 25.2% of players in their age group-showing dominant elite status.
In second is Associação Chapecoense de Futebol's Jean Carlos with a +-13.3% ASC (11.8% value share vs 25.2% player share in 30+ bracket). Third is Alan Patrick of Sport Club Internacional with a +-13.3% ASC (11.8% value vs 25.2% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-13.3% ASC means the player captures -13.3% 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 | Thorgan Hazard RSC Anderlecht | 30+ | 11.8% | 25.2% | -13.3% |
| #2 | Jean Carlos Associação Chapecoense de Futebol | 30+ | 11.8% | 25.2% | -13.3% |
| #3 | Alan Patrick Sport Club Internacional | 30+ | 11.8% | 25.2% | -13.3% |
| #4 | Alisher Dzhalilov Istiqlol Dushanbe | 30+ | 11.8% | 25.2% | -13.3% |
| #5 | Florian Kainz 1.FC Köln | 30+ | 11.8% | 25.2% | -13.3% |
| #6 | Kevin Stöger Borussia Mönchengladbach | 30+ | 11.8% | 25.2% | -13.3% |
| #7 | Eduardo Mirassol Futebol Clube (SP) | 30+ | 11.8% | 25.2% | -13.3% |
| #8 | Sofiane Hanni Al-Khor SC | 30+ | 11.8% | 25.2% | -13.3% |
| #9 | Rémy Cabella FC Nantes | 30+ | 11.8% | 25.2% | -13.3% |
| #10 | Younès Belhanda Al-Sailiya SC | 30+ | 11.8% | 25.2% | -13.3% |
| #11 | Kenan Karaman FC Schalke 04 | 30+ | 11.8% | 25.2% | -13.3% |
| #12 | Juan Fernando Quintero CA River Plate | 30+ | 11.8% | 25.2% | -13.3% |
| #13 | Zakaria Labyad Without Club | 30+ | 11.8% | 25.2% | -13.3% |
| #14 | Sebastian Kerk Arka Gdynia | 30+ | 11.8% | 25.2% | -13.3% |
| #15 | Téji Savanier Montpellier HSC | 30+ | 11.8% | 25.2% | -13.3% |
| #16 | Abdoulaye Doucouré NEOM SC | 30+ | 11.8% | 25.2% | -13.3% |
| #17 | Carles Gil New England Revolution | 30+ | 11.8% | 25.2% | -13.3% |
| #18 | Petros Mantalos AEK Athens | 30+ | 11.8% | 25.2% | -13.3% |
| #19 | Luis Alberto Al-Wakrah SC | 30+ | 11.8% | 25.2% | -13.3% |
| #20 | Alexandru Maxim Gaziantep FK | 30+ | 11.8% | 25.2% | -13.3% |
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: 34 immediate targets, 255 standard acquisitions, 0 watch-list prospects, 394 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 €8.0M. 0 undervalued, 102 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mikkel Damsgaard Brentford FC | €30.0M | €1.0M | -1.00 | Good Value |
Brenden Aaronson Leeds United | €15.0M | €1.0M | -0.83 | Good Value |
Lazar Samardžić Atalanta BC | €15.0M | €1.0M | -0.83 | Good Value |
Fer López Celta de Vigo | €16.0M | €1.0M | -0.80 | Good Value |
Merlin Röhl Everton FC | €16.0M | €1.0M | -0.80 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €1.0M | -0.80 | 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 |
Simone Pafundi UC Sampdoria | €5.0M | €1.0M | -0.75 | Good Value |
James Maddison Tottenham Hotspur | €30.0M | €1.0M | -0.67 | Good Value |
Angelo Fulgini Al-Taawoun FC | €5.0M | €1.0M | -0.58 | Good Value |
Jesús Angulo Deportivo Toluca | €5.0M | €1.0M | -0.58 | Good Value |
Ryotaro Ito Sint-Truidense VV | €5.0M | €1.0M | -0.58 | Good Value |
Romain Faivre AJ Auxerre | €5.0M | €1.0M | -0.58 | Good Value |
Pep Biel Charlotte FC | €5.5M | €1.0M | -0.50 | Fair Value |
Romano Schmid SV Werder Bremen | €17.0M | €1.0M | -0.50 | Fair Value |
Morgan Gibbs-White Nottingham Forest | €65.0M | €1.0M | -0.50 | Fair Value |
João Simões Sporting CP | €15.0M | €1.0M | -0.50 | Fair Value |
Alphadjo Cissè US Catanzaro | €6.0M | €1.0M | -0.50 | Fair Value |
