Best Attacking Midfielders in the Scottish Premiership (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Scottish Premiership Attacking Midfielders 2026-27
Our database tracked 998 Scottish Premiership Attacking Midfielders in the 2026-27 season, representing 636 clubs with a combined market value of €4.5B. The average market value for Scottish Premiership Attacking Midfielders was €4.5M, with the average age at 26.8 years old.
The most valuable attacking midfielder in the Scottish Premiership was Jamal Musiala, worth €140.0M and played for Bayern Munich at 23 years old. The top 5 Attacking Midfielders averaged €133.0M in market value, including Cole Palmer and Jude Bellingham.
Age distribution showed the youngest tracked attacking midfielder was Rodrigo Mora (18 years, FC Porto, €40.0M), while the oldest was Dimitri Payet (39 years, Without Club, €750K). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 419 Attacking Midfielders (42%) 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 Attacking Midfielders remained highly competitive with significant transfer activity in the 2026-27 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 636 clubs with €4.5B 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 (281 players, 28% of market). The 21-23 age group holds the most value at €1.7B, averaging €8.3M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (62 players)
21-23 Years (201 players)
24-26 Years (223 players)
27-29 Years (231 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Attacking Midfielders (10% of players) control €2.9B
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 636 Scottish Premiership 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 (3 Attacking Midfielders)
Tottenham Hotspur (3 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
Martin Ødegaard
Arsenal FC • 27 years old
€89.8M
€85.0M
-5.4%
Expected: €77.0M
93.3
Dominik Szoboszlai
Liverpool FC • 25 years old
€69.2M
€80.0M
+15.6%
Expected: €81.4M
93.0
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
Dani Olmo
FC Barcelona • 27 years old
€63.4M
€60.0M
-5.4%
Expected: €54.4M
89.1
Oihan Sancet
Athletic Bilbao • 26 years old
€51.9M
€60.0M
+15.6%
Expected: €64.3M
88.9
Eberechi Eze
Arsenal FC • 27 years old
€58.1M
€55.0M
-5.4%
Expected: €49.8M
88.0
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €63.1M
88.0
Bruno Fernandes
Manchester United • 31 years old
€64.6M
€50.0M
-22.6%
Expected: €42.9M
87.0
Ethan Nwaneri
Arsenal FC • 19 years old
€47.6M
€55.0M
+15.6%
Expected: €68.2M
86.9
Morgan Gibbs-White
Nottingham Forest • 26 years old
€43.2M
€50.0M
+15.6%
Expected: €53.6M
86.7
Dejan Kulusevski
Tottenham Hotspur • 26 years old
€43.2M
€50.0M
+15.6%
Expected: €53.6M
86.7
James Maddison
Tottenham Hotspur • 29 years old
€54.2M
€42.0M
-22.6%
Expected: €36.0M
84.6
Bernardo Silva
Manchester City • 31 years old
€49.1M
€38.0M
-22.6%
Expected: €32.6M
83.7
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 | Dominik Szoboszlai Liverpool FC | 25 | 24-26 | €80.0M | €1.0M | 80.00× |
| #5 | Cole Palmer Chelsea FC | 23 | 21-23 | €120.0M | €1.5M | 80.00× |
| #6 | Ethan Nwaneri Arsenal FC | 19 | U21 | €55.0M | €1.0M | 55.00× |
| #7 | Xavi Simons Tottenham Hotspur | 23 | 21-23 | €70.0M | €1.5M | 46.67× |
| #8 | Fermín López FC Barcelona | 22 | 21-23 | €60.0M | €1.5M | 40.00× |
| #9 | Arda Güler Real Madrid | 21 | 21-23 | €60.0M | €1.5M | 40.00× |
| #10 | Rodrigo Mora FC Porto | 18 | U21 | €40.0M | €1.0M | 40.00× |
| #11 | Morgan Rogers Aston Villa | 23 | 21-23 | €55.0M | €1.5M | 36.67× |
| #12 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €1.5M | 36.67× |
| #13 | Charles De Ketelaere Atalanta BC | 25 | 24-26 | €35.0M | €1.0M | 35.00× |
| #14 | Emile Smith Rowe Fulham FC | 25 | 24-26 | €30.0M | €1.0M | 30.00× |
| #15 | Mikkel Damsgaard Brentford FC | 25 | 24-26 | €28.0M | €1.0M | 28.00× |
| #16 | Eduard Spertsyan FC Krasnodar | 25 | 24-26 | €25.0M | €1.0M | 25.00× |
| #17 | Enzo Millot Al-Ahli SFC | 23 | 21-23 | €35.0M | €1.5M | 23.33× |
| #18 | Aleksey Batrakov Lokomotiv Moscow | 20 | U21 | €23.0M | €1.0M | 23.00× |
| #19 | Konstantinos Karetsas KRC Genk | 18 | U21 | €23.0M | €1.0M | 23.00× |
| #20 | Fábio Vieira Hamburger SV | 25 | 24-26 | €22.0M | €1.0M | 22.00× |
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: 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)
Dinamo Makhachkala's Mohammadjavad Hosseinnejad in the 21-23 age bracket has the highest Age-Share Concentration at +16.9%. That means Jamal Musiala captures 37.1% of total market value while representing only 20.1% of players in their age group—showing dominant elite status.
In second is CD Universidad Católica's Juan Francisco Rossel with a +16.9% ASC (37.1% value share vs 20.1% player share in 21-23 bracket). Third is Maksim Boldyrev of Akron Togliatti with a +16.9% ASC (37.1% value vs 20.1% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +16.9% ASC means the player captures 16.9% 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 | Mohammadjavad Hosseinnejad Dinamo Makhachkala | 21-23 | 37.1% | 20.1% | +16.9% |
| #2 | Juan Francisco Rossel CD Universidad Católica | 21-23 | 37.1% | 20.1% | +16.9% |
| #3 | Maksim Boldyrev Akron Togliatti | 21-23 | 37.1% | 20.1% | +16.9% |
| #4 | Asier Osambela CA Osasuna Promesas | 21-23 | 37.1% | 20.1% | +16.9% |
| #5 | Rubén Lezcano Fluminense Football Club | 21-23 | 37.1% | 20.1% | +16.9% |
| #6 | Peio Canales Racing Santander | 21-23 | 37.1% | 20.1% | +16.9% |
| #7 | Yevgeniy Pastukh LNZ Cherkasy | 21-23 | 37.1% | 20.1% | +16.9% |
| #8 | Bilal Bafdili KV Mechelen | 21-23 | 37.1% | 20.1% | +16.9% |
| #9 | Miguelito América Futebol Clube (MG) | 21-23 | 37.1% | 20.1% | +16.9% |
| #10 | Martín Maturana Deportes Santa Cruz | 21-23 | 37.1% | 20.1% | +16.9% |
| #11 | Fer López Wolverhampton Wanderers | 21-23 | 37.1% | 20.1% | +16.9% |
| #12 | Jonathan Silva Calcio Padova | 21-23 | 37.1% | 20.1% | +16.9% |
| #13 | Yan Phillipe Atlético de San Luis | 21-23 | 37.1% | 20.1% | +16.9% |
| #14 | Allan Sociedade Esportiva Palmeiras | 21-23 | 37.1% | 20.1% | +16.9% |
| #15 | Guilherme Estrella Clube de Regatas Vasco da Gama | 21-23 | 37.1% | 20.1% | +16.9% |
| #16 | Nicolas Pays Montpellier HSC | 21-23 | 37.1% | 20.1% | +16.9% |
| #17 | Alán Bautista CF Pachuca | 21-23 | 37.1% | 20.1% | +16.9% |
| #18 | Sergio Hernández CD Everton | 21-23 | 37.1% | 20.1% | +16.9% |
| #19 | Lautaro Godoy Club Atlético Tucumán | 21-23 | 37.1% | 20.1% | +16.9% |
| #20 | Damián Puebla Instituto ACC | 21-23 | 37.1% | 20.1% | +16.9% |
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: 27 immediate targets, 240 standard acquisitions, 0 watch-list prospects, 385 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 €600K. 0 undervalued, 105 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Teun Koopmeiners Juventus FC | €30.0M | €1.0M | -1.00 | Good Value |
Emile Smith Rowe Fulham FC | €30.0M | €1.0M | -1.00 | Good Value |
Mert Kömür FC Augsburg | €5.0M | €1.0M | -1.00 | Good Value |
Simone Pafundi UC Sampdoria | €5.0M | €1.0M | -1.00 | Good Value |
Gustavo Sá FC Famalicão | €16.0M | €1.0M | -1.00 | Good Value |
Adrien Thomasson RC Lens | €5.0M | €1.0M | -0.80 | Good Value |
Chiquinho Olympiacos Piraeus | €5.0M | €1.0M | -0.80 | Good Value |
Marcelino Moreno CA Lanús | €5.0M | €1.0M | -0.80 | Good Value |
Isco Real Betis Balompié | €5.0M | €1.0M | -0.80 | Good Value |
Fer López Wolverhampton Wanderers | €5.0M | €1.0M | -0.75 | Good Value |
Tahith Chong Sheffield United | €5.0M | €1.0M | -0.75 | Good Value |
Kanya Fujimoto Birmingham City | €5.0M | €1.0M | -0.75 | Good Value |
Iván Jaime CF Montréal | €5.0M | €1.0M | -0.75 | Good Value |
Giannis Konstantelias PAOK Thessaloniki | €17.0M | €1.0M | -0.75 | Good Value |
Matko Miljevic CA Huracán | €5.0M | €1.0M | -0.75 | Good Value |
Jakob Breum Go Ahead Eagles | €5.0M | €1.0M | -0.75 | Good Value |
Nikita Krivtsov FC Krasnodar | €5.0M | €1.0M | -0.75 | Good Value |
Miguel Monsalve Grêmio Foot-Ball Porto Alegrense | €5.0M | €1.0M | -0.75 | Good Value |
Otávio Al-Qadsiah FC | €15.0M | €1.0M | -0.67 | Good Value |
Giorgian de Arrascaeta CR Flamengo | €15.0M | €1.0M | -0.67 | Good Value |
