Best Midfielders in the Scottish Premiership (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Scottish Premiership Midfielders 2026-27
Our database tracked 1000 Scottish Premiership Midfielders in the 2026-27 season, representing 509 clubs with a combined market value of €6.0B. The average market value for Scottish Premiership Midfielders was €6.0M, with the average age at 26.5 years old.
The most valuable midfielder in the Scottish Premiership was Pedri, worth €140.0M and played for FC Barcelona at 23 years old. The top 5 Midfielders averaged €114.0M in market value, including Federico Valverde and Declan Rice.
Age distribution showed the youngest tracked midfielder was Ayyoub Bouaddi (18 years, LOSC Lille, €28.0M), while the oldest was Luka Modrić (40 years, AC Milan, €4.0M). Research shows Midfielders typically peak at age 26-27.
Historical analysis showed 422 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 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 Midfielders. Identify undervalued assets and track market momentum across 509 clubs with €6.0B combined value.
Age Distribution: Scottish Premiership Midfielders
The Scottish Premiership CM market shows 5 distinct age segments, with the largest cohort in the 27-29 bracket (267 players, 27% of market). The 27-29 age group holds the most value at €1.8B, averaging €6.8M per player.
Top Midfielders by Age Bracket
U21 Years (36 players)
21-23 Years (215 players)
24-26 Years (251 players)
27-29 Years (267 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Midfielders (10% of players) control €3.2B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Scottish Premiership CM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Scottish Premiership Midfielders
Among 509 Scottish Premiership clubs, FC Barcelona leads with 3 Midfielders worth €225.0M (averaging €75.0M per player). The top 10 clubs account for 4% of tracked Midfielders.
FC Barcelona (3 Midfielders)
Paris Saint-Germain (4 Midfielders)
Real Madrid (3 Midfielders)
Newcastle United (5 Midfielders)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Pedri
FC Barcelona • 23 years old
€121.1M
€140.0M
+15.6%
Expected: €156.0M
95.5
Federico Valverde
Real Madrid • 27 years old
€137.4M
€130.0M
-5.4%
Expected: €118.4M
94.7
Declan Rice
Arsenal FC • 27 years old
€126.8M
€120.0M
-5.4%
Expected: €109.3M
94.7
Alexis Mac Allister
Liverpool FC • 27 years old
€105.7M
€100.0M
-5.4%
Expected: €91.1M
94.7
João Neves
Paris Saint-Germain • 21 years old
€69.2M
€80.0M
+15.6%
Expected: €91.8M
93.3
Enzo Fernández
Chelsea FC • 25 years old
€64.9M
€75.0M
+15.6%
Expected: €76.3M
93.3
Nicolò Barella
Inter Milan • 29 years old
€83.9M
€65.0M
-22.6%
Expected: €56.1M
91.2
Sandro Tonali
Newcastle United • 25 years old
€51.9M
€60.0M
+15.6%
Expected: €61.0M
90.4
Tijjani Reijnders
Manchester City • 27 years old
€63.4M
€60.0M
-5.4%
Expected: €54.7M
90.2
Pablo Barrios
Atlético de Madrid • 22 years old
€47.6M
€55.0M
+15.6%
Expected: €60.6M
89.6
Eduardo Camavinga
Real Madrid • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.7M
89.2
Manu Koné
AS Roma • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €53.3M
88.6
Warren Zaïre-Emery
Paris Saint-Germain • 20 years old
€47.6M
€55.0M
+15.6%
Expected: €65.6M
88.5
Kobbie Mainoo
Manchester United • 21 years old
€43.2M
€50.0M
+15.6%
Expected: €57.4M
88.0
Scott McTominay
SSC Napoli • 29 years old
€64.6M
€50.0M
-22.6%
Expected: €43.1M
87.9
Curtis Jones
Liverpool FC • 25 years old
€38.9M
€45.0M
+15.6%
Expected: €45.8M
86.9
Frenkie de Jong
FC Barcelona • 28 years old
€58.1M
€45.0M
-22.6%
Expected: €41.0M
86.7
Éderson
Atalanta BC • 26 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
86.3
Fabián Ruiz
Paris Saint-Germain • 30 years old
€51.7M
€40.0M
-22.6%
Expected: €34.5M
85.4
Khéphren Thuram
Juventus FC • 25 years old
€34.6M
€40.0M
+15.6%
Expected: €40.7M
85.3
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)
FC Barcelona's Pedri at 23 years old has the highest Pre-Peak Value Efficiency at 56.00×. That means Pedri is valued 56.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Chelsea FC's Enzo Fernández, who is 25 years old, with a 37.50× PPVE. Third is João Neves of Paris Saint-Germain, who is 21 years old with a 32.00× 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 56.00× means the player is worth 5500% 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 | Pedri FC Barcelona | 23 | 21-23 | €140.0M | €2.5M | 56.00× |
| #2 | Enzo Fernández Chelsea FC | 25 | 24-26 | €75.0M | €2.0M | 37.50× |
| #3 | João Neves Paris Saint-Germain | 21 | 21-23 | €80.0M | €2.5M | 32.00× |
| #4 | Sandro Tonali Newcastle United | 25 | 24-26 | €60.0M | €2.0M | 30.00× |
| #5 | Manu Koné AS Roma | 24 | 24-26 | €50.0M | €2.0M | 25.00× |
| #6 | Curtis Jones Liverpool FC | 25 | 24-26 | €45.0M | €2.0M | 22.50× |
| #7 | Pablo Barrios Atlético de Madrid | 22 | 21-23 | €55.0M | €2.5M | 22.00× |
| #8 | Khéphren Thuram Juventus FC | 25 | 24-26 | €40.0M | €2.0M | 20.00× |
| #9 | Eduardo Camavinga Real Madrid | 23 | 21-23 | €50.0M | €2.5M | 20.00× |
| #10 | João Gomes Wolverhampton Wanderers | 25 | 24-26 | €40.0M | €2.0M | 20.00× |
| #11 | Kobbie Mainoo Manchester United | 21 | 21-23 | €50.0M | €2.5M | 20.00× |
| #12 | Jacob Ramsey Newcastle United | 24 | 24-26 | €32.0M | €2.0M | 16.00× |
| #13 | Gavi FC Barcelona | 21 | 21-23 | €40.0M | €2.5M | 16.00× |
| #14 | Hugo Larsson Eintracht Frankfurt | 21 | 21-23 | €40.0M | €2.5M | 16.00× |
| #15 | Quinten Timber Feyenoord Rotterdam | 24 | 24-26 | €30.0M | €2.0M | 15.00× |
| #16 | Felix Nmecha Borussia Dortmund | 25 | 24-26 | €28.0M | €2.0M | 14.00× |
| #17 | Orkun Kökçü Besiktas JK | 25 | 24-26 | €28.0M | €2.0M | 14.00× |
| #18 | Andrey Santos Chelsea FC | 21 | 21-23 | €35.0M | €2.5M | 14.00× |
| #19 | Ismael Saibari PSV Eindhoven | 25 | 24-26 | €27.0M | €2.0M | 13.50× |
| #20 | Elliot Anderson Nottingham Forest | 23 | 21-23 | €32.0M | €2.5M | 12.80× |
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)
Liverpool FC's Trey Nyoni at 18 years old has the highest Return-to-Peak Potential at +44%. That means Ayyoub Bouaddi is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is LOSC Lille's Ayyoub Bouaddi, who is 18 years old, with a +44% RPP (8 years to peak). Third is Josh King of Fulham FC, who is 19 years old with a +40% RPP (7 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 | Trey Nyoni Liverpool FC | 18 | 8 | €4.5M | €8.0M | +44% |
| #2 | Ayyoub Bouaddi LOSC Lille | 18 | 8 | €28.0M | €50.0M | +44% |
| #3 | Josh King Fulham FC | 19 | 7 | €1.0M | €1.7M | +40% |
| #4 | Assan Ouédraogo RB Leipzig | 19 | 7 | €7.0M | €11.6M | +40% |
| #5 | Senny Mayulu Paris Saint-Germain | 19 | 7 | €15.0M | €24.9M | +40% |
| #6 | Lewis Miley Newcastle United | 19 | 7 | €22.0M | €36.6M | +40% |
| #7 | Lennon Miller Udinese Calcio | 19 | 7 | €8.0M | €13.3M | +40% |
| #8 | Michael Golding Leicester City | 19 | 7 | €2.0M | €3.3M | +40% |
| #9 | Christos Mouzakitis Olympiacos Piraeus | 19 | 7 | €15.0M | €24.9M | +40% |
| #10 | İsak Vural Pisa Sporting Club | 19 | 7 | €4.5M | €7.5M | +40% |
| #11 | Agustín Medina CA Lanús | 19 | 7 | €3.0M | €5.0M | +40% |
| #12 | Ethan Mbappé LOSC Lille | 19 | 7 | €5.0M | €8.3M | +40% |
| #13 | João Simões Sporting CP | 19 | 7 | €6.0M | €10.0M | +40% |
| #14 | Lior Kassa Maccabi Haifa | 20 | 6 | €1.5M | €2.3M | +35% |
| #15 | Mauricio Amaro Defensor Sporting Club | 20 | 6 | €700K | €1.1M | +35% |
| #16 | Daniel Kelly Millwall FC | 20 | 6 | €700K | €1.1M | +35% |
| #17 | Victor Froholdt FC Porto | 20 | 6 | €22.0M | €34.0M | +35% |
| #18 | Mathis Amougou RC Strasbourg Alsace | 20 | 6 | €10.0M | €15.5M | +35% |
| #19 | Mads Bomholt Aalborg BK | 20 | 6 | €900K | €1.4M | +35% |
| #20 | Caleb Yirenkyi FC Nordsjaelland | 20 | 6 | €1.0M | €1.5M | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Liverpool FC's Trey Nyoni has the highest Risk-Adjusted Upside at 68.9. That means Trey Nyoni has 23% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is LOSC Lille's Ayyoub Bouaddi with a 68.9 RAU (23% upside, 0% uncertainty). Third is Lucas Bergvall of Tottenham Hotspur with a 58.7 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 68.9 means the upside is 68.9× 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 | Trey Nyoni Liverpool FC | €5.6M | €4.8M-6.3M | +23% | 68.9 |
| #2 | Ayyoub Bouaddi LOSC Lille | €34.6M | €29.8M-39.3M | +23% | 68.9 |
| #3 | Lucas Bergvall Tottenham Hotspur | €45.3M | €39.1M-51.6M | +19% | 58.7 |
| #4 | Warren Zaïre-Emery Paris Saint-Germain | €65.6M | €56.6M-74.7M | +19% | 58.7 |
| #5 | Lewis Miley Newcastle United | €26.2M | €22.6M-29.8M | +19% | 58.0 |
| #6 | Josh King Fulham FC | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #7 | Lennon Miller Udinese Calcio | €9.5M | €8.2M-10.8M | +19% | 58.0 |
| #8 | Michael Golding Leicester City | €2.4M | €2.1M-2.7M | +19% | 58.0 |
| #9 | Ethan Mbappé LOSC Lille | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #10 | İsak Vural Pisa Sporting Club | €5.4M | €4.6M-6.1M | +19% | 58.0 |
| #11 | Agustín Medina CA Lanús | €3.6M | €3.1M-4.1M | +19% | 58.0 |
| #12 | João Simões Sporting CP | €7.1M | €6.2M-8.1M | +19% | 58.0 |
| #13 | Assan Ouédraogo RB Leipzig | €8.3M | €7.2M-9.5M | +19% | 58.0 |
| #14 | Senny Mayulu Paris Saint-Germain | €17.9M | €15.4M-20.3M | +19% | 58.0 |
| #15 | Christos Mouzakitis Olympiacos Piraeus | €17.9M | €15.4M-20.3M | +19% | 58.0 |
| #16 | Andrey Santos Chelsea FC | €40.2M | €34.6M-45.7M | +15% | 46.6 |
| #17 | Gavi FC Barcelona | €45.9M | €39.6M-52.2M | +15% | 46.6 |
| #18 | João Neves Paris Saint-Germain | €91.8M | €79.1M-104.5M | +15% | 46.6 |
| #19 | Hugo Larsson Eintracht Frankfurt | €45.9M | €39.6M-52.2M | +15% | 46.6 |
| #20 | Kobbie Mainoo Manchester United | €57.4M | €49.5M-65.3M | +15% | 46.6 |
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: 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)
Al-Duhail SC's Marco Verratti in the 30+ age bracket has the highest Age-Share Concentration at +-10.2%. That means Fabián Ruiz captures 12.9% of total market value while representing only 23.1% of players in their age group—showing dominant elite status.
In second is Borussia Dortmund's Marcel Sabitzer with a +-10.2% ASC (12.9% value share vs 23.1% player share in 30+ bracket). Third is Mehdi Abeid of Without Club with a +-10.2% ASC (12.9% value vs 23.1% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-10.2% ASC means the player captures -10.2% 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 | Marco Verratti Al-Duhail SC | 30+ | 12.9% | 23.1% | -10.2% |
| #2 | Marcel Sabitzer Borussia Dortmund | 30+ | 12.9% | 23.1% | -10.2% |
| #3 | Mehdi Abeid Without Club | 30+ | 12.9% | 23.1% | -10.2% |
| #4 | Roberto Pereyra AEK Athens | 30+ | 12.9% | 23.1% | -10.2% |
| #5 | Sérgio Oliveira Sport Club do Recife | 30+ | 12.9% | 23.1% | -10.2% |
| #6 | Maximilian Arnold VfL Wolfsburg | 30+ | 12.9% | 23.1% | -10.2% |
| #7 | Jordan Ferri UC Sampdoria | 30+ | 12.9% | 23.1% | -10.2% |
| #8 | Alessandro Schöpf Wolfsberger AC | 30+ | 12.9% | 23.1% | -10.2% |
| #9 | Yannick Gerhardt VfL Wolfsburg | 30+ | 12.9% | 23.1% | -10.2% |
| #10 | Marvin Wanitzek Karlsruher SC | 30+ | 12.9% | 23.1% | -10.2% |
| #11 | José Campaña Without Club | 30+ | 12.9% | 23.1% | -10.2% |
| #12 | Paul Pogba AS Monaco | 30+ | 12.9% | 23.1% | -10.2% |
| #13 | Adam Maher Without Club | 30+ | 12.9% | 23.1% | -10.2% |
| #14 | Éver Banega CA Newell's Old Boys | 30+ | 12.9% | 23.1% | -10.2% |
| #15 | Tom Cairney Fulham FC | 30+ | 12.9% | 23.1% | -10.2% |
| #16 | Kerem Demirbay Eyüpspor | 30+ | 12.9% | 23.1% | -10.2% |
| #17 | Iñigo Ruiz de Galarreta Athletic Bilbao | 30+ | 12.9% | 23.1% | -10.2% |
| #18 | Dennis Praet Royal Antwerp FC | 30+ | 12.9% | 23.1% | -10.2% |
| #19 | Nicolas Rommens Lommel SK | 30+ | 12.9% | 23.1% | -10.2% |
| #20 | Stuart Armstrong Aberdeen FC | 30+ | 12.9% | 23.1% | -10.2% |
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: 15 immediate targets, 238 standard acquisitions, 0 watch-list prospects, 431 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 €1.4M. 1 undervalued, 69 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
John McGinn Aston Villa | €16.0M | €2.0M | -2.00 | Undervalued |
Sergej Milinković-Savić Al-Hilal SFC | €17.0M | €2.0M | -1.50 | Good Value |
Lewis Cook AFC Bournemouth | €15.0M | €2.0M | -1.25 | Good Value |
Leandro Barreiro SL Benfica | €15.0M | €2.0M | -1.25 | Good Value |
Marshall Munetsi Wolverhampton Wanderers | €15.0M | €2.0M | -1.25 | Good Value |
Mads Bidstrup Red Bull Salzburg | €15.0M | €2.0M | -1.25 | Good Value |
Adrián Bernabé Parma Calcio 1913 | €15.0M | €2.0M | -1.25 | Good Value |
Hicham Boudaoui OGC Nice | €15.0M | €2.0M | -1.25 | Good Value |
Gustavo Hamer Sheffield United | €16.0M | €2.0M | -1.00 | Good Value |
Maxence Caqueret Como 1907 | €16.0M | €2.0M | -1.00 | Good Value |
Adam Gnezda Cerin Panathinaikos FC | €5.0M | €2.0M | -1.00 | Good Value |
Amadou Haidara RB Leipzig | €16.0M | €2.0M | -1.00 | Good Value |
Victor Torp Coventry City | €5.0M | €2.0M | -1.00 | Good Value |
Pol Lozano RCD Espanyol Barcelona | €5.0M | €2.0M | -1.00 | Good Value |
Quinten Timber Feyenoord Rotterdam | €30.0M | €2.0M | -1.00 | Good Value |
Paulo Bernardo Celtic FC | €5.0M | €2.0M | -1.00 | Good Value |
Han-Noah Massengo FC Augsburg | €5.0M | €2.0M | -1.00 | Good Value |
Williams Alarcón CA Boca Juniors | €5.0M | €2.0M | -1.00 | Good Value |
Yassine Kechta Le Havre AC | €5.0M | €2.0M | -1.00 | Good Value |
Tom Bischof Bayern Munich | €30.0M | €2.0M | -1.00 | Good Value |
