Best Midfielders in the Serie A (Oct 2026)
288 players tracked across 38 clubs. Updated October 2026.
Ranked by Analytical Strength Index
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.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Manu Koné
Associazione Sportiva Roma • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €51.4M
88.6
Nicolò Barella
Inter Milan • 29 years old
€64.6M
€50.0M
-22.6%
Expected: €41.2M
87.8
Éderson
Atalanta BC • 27 years old
€38.9M
€45.0M
+15.6%
Expected: €44.9M
86.3
Petar Sučić
Inter Milan • 22 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
85.4
Khéphren Thuram
Juventus FC • 25 years old
€32.9M
€38.0M
+15.6%
Expected: €39.0M
85.1
Scott McTominay
SSC Napoli • 29 years old
€51.7M
€40.0M
-22.6%
85.1
Niccolò Pisilli
Associazione Sportiva Roma • 22 years old
€25.9M
€30.0M
+15.6%
78.2
Weston McKennie
Juventus FC • 28 years old
€31.7M
€30.0M
-5.4%
77.8
Kenneth Taylor
Società Sportiva Lazio S.p.A. • 24 years old
€21.6M
€25.0M
+15.6%
76.8
Ismaël Koné
US Sassuolo • 24 years old
€21.6M
€25.0M
+15.6%
76.8
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Sign up freeManu Koné
Associazione Sportiva Roma · 25 years old
88.6
ASI
Current Value
€50.0M
% Change
+15.6%
1yr Forecast Range
€44.7M - €58.0M
Nicolò Barella
Inter Milan · 29 years old
87.8
ASI
Current Value
€50.0M
% Change
-22.6%
1yr Forecast Range
€35.8M - €46.5M
Éderson
Atalanta BC · 27 years old
86.3
ASI
Current Value
€45.0M
% Change
+15.6%
1yr Forecast Range
€39.1M - €50.8M
Petar Sučić
Inter Milan · 22 years old
85.4
ASI
Current Value
€40.0M
% Change
+15.6%
1yr Forecast Range
€35.1M - €45.6M
Khéphren Thuram
Juventus FC · 25 years old
85.1
ASI
Current Value
€38.0M
% Change
+15.6%
1yr Forecast Range
€34.0M - €44.1M
Scott McTominay
SSC Napoli · 29 years old
85.1
ASI
Current Value
€40.0M
% Change
-22.6%
1yr Forecast Range
Niccolò Pisilli
Associazione Sportiva Roma · 22 years old
78.2
ASI
Current Value
€30.0M
% Change
+15.6%
1yr Forecast Range
Weston McKennie
Juventus FC · 28 years old
77.8
ASI
Current Value
€30.0M
% Change
-5.4%
1yr Forecast Range
Kenneth Taylor
Società Sportiva Lazio S.p.A. · 24 years old
76.8
ASI
Current Value
€25.0M
% Change
+15.6%
1yr Forecast Range
Ismaël Koné
US Sassuolo · 24 years old
76.8
ASI
Current Value
€25.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Serie A Midfielders (updated October 2026)
Our database tracks 288 Serie A Midfielders as of October 2026, representing 38 clubs with a combined market value of €1.0B. The average market value for Serie A Midfielders is €3.6M, with the average age at 28 years old.
The most valuable midfielder in the Serie A is Manu Koné, worth €50.0M and playing for Associazione Sportiva Roma at 25 years old. The top 5 Midfielders average €44.6M in market value, including Nicolò Barella and Éderson.
Age distribution shows the youngest tracked midfielder is Adrian Lahdo (18 years, Como 1907, €10.0M), while the oldest is Fredy Guarín (40 years, Inter Milan, €500K). Research shows Midfielders typically peak at age 27.
Our 1-year forecast model projects 85 Midfielders (30%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Serie A market for Midfielders remains highly competitive with significant transfer activity expected as of October 2026.
Explore Market Size by Position in Serie A
Interactive bubble chart showing predicted 2-year growth vs current age for all Serie A Midfielders. Identify undervalued assets and track market momentum across 38 clubs with €1.0B combined value.
Age Distribution: Serie A Midfielders
The Serie A CM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (113 players, 39% of market). The 24-26 age group holds the most value at €345.7M, averaging €5.0M per player.
Top Midfielders by Age Bracket
U21 Years (8 players)
21-23 Years (39 players)
24-26 Years (69 players)
27-29 Years (59 players)
Market Value Distribution
Elite Tier Concentration
The top 29 Midfielders (10% of players) control €678.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the Serie A CM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Midfielders
Among 38 Serie A clubs, Inter Milan leads with 16 Midfielders worth €132.0M (averaging €8.2M per player). The top 10 clubs account for 37% of tracked Midfielders.
Inter Milan (16 Midfielders)
Associazione Sportiva Roma (6 Midfielders)
Juventus FC (9 Midfielders)
ACF Fiorentina (10 Midfielders)
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)
Associazione Sportiva Roma's Manu Koné at 25 years old has the highest Pre-Peak Value Efficiency at 41.67×. That means Manu Koné is valued 41.67× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Inter Milan's Petar Sučić, who is 22 years old, with a 33.33× PPVE. Third is Khéphren Thuram of Juventus FC, who is 25 years old with a 31.67× 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 41.67× means the player is worth 4067% 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 | Manu Koné Associazione Sportiva Roma | 25 | 24-26 | €50.0M | €1.2M | 41.67x |
| #2 | Petar Sučić Inter Milan | 22 | 21-23 | €40.0M | €1.2M | 33.33x |
| #3 | Khéphren Thuram Juventus FC | 25 | 24-26 | €38.0M | €1.2M | 31.67x |
| #4 | Niccolò Pisilli Associazione Sportiva Roma | 22 | 21-23 | €30.0M | €1.2M | 25.00x |
| #5 | Kenneth Taylor Società Sportiva Lazio S.p.A. | 24 | 24-26 | €25.0M | €1.2M | 20.83x |
| #6 | Arthur Atta Udinese Calcio | 23 | 21-23 | €25.0M | €1.2M | 20.83x |
| #7 | Ismaël Koné US Sassuolo | 24 | 24-26 | €25.0M | €1.2M | 20.83x |
| #8 | Neil El Aynaoui Associazione Sportiva Roma | 25 | 24-26 | €23.0M | €1.2M | 19.17x |
| #9 | Lucas Da Cunha Como 1907 | 25 | 24-26 | €20.0M | €1.2M | 16.67x |
| #10 | Cher Ndour ACF Fiorentina | 22 | 21-23 | €20.0M | €1.2M | 16.67x |
| #11 | Nicolò Fagioli ACF Fiorentina | 25 | 24-26 | €16.0M | €1.2M | 13.33x |
| #12 | Adrián Bernabé Parma Calcio 1913 | 25 | 24-26 | €15.0M | €1.2M | 12.50x |
| #13 | Fabio Miretti Juventus FC | 23 | 21-23 | €15.0M | €1.2M | 12.50x |
| #14 | Cesare Casadei Torino FC | 23 | 21-23 | €15.0M | €1.2M | 12.50x |
| #15 | Yunus Musah AC Milan | 23 | 21-23 | €14.0M | €1.2M | 11.67x |
| #16 | Jacopo Fazzini ACF Fiorentina | 23 | 21-23 | €8.5M | €1.2M | 7.08x |
| #17 | Simon Sohm Bologna Football Club 1909 | 25 | 24-26 | €8.0M | €1.2M | 6.67x |
| #18 | Ivan Ilić Torino FC | 25 | 24-26 | €7.0M | €1.2M | 5.83x |
| #19 | Felipe Loyola Pisa Sporting Club | 25 | 24-26 | €7.0M | €1.2M | 5.83x |
| #20 | Ebenezer Akinsanmiro Pisa Sporting Club | 21 | 21-23 | €7.0M | €1.2M | 5.83x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Unlock Return-to-Peak analysis for Serie A Midfielders.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Serie A Midfielders.
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
Unlock Roster Pressure Index for Serie A Midfielders.
Upgrade to FanAge-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Unlock Age-Share Concentration for Serie A Midfielders.
Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
Unlock the Buy Map for Serie A Midfielders.
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
Unlock Peer Z-Score analysis for Serie A Midfielders.
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How We Rank Serie A Midfielders
Our Analytical Strength Index is calibrated specifically for midfielders, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for CM
Historical Achievement Index (35%)
Peak career market value for Serie A midfielders, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Serie A midfielders, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 27 with 6.0%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Serie A receives Top 5 European league premium for competitive intensity and quality of opposition.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
CM Performance Benchmarks
Peak Age: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Compounding and banded around a peak of 27: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for midfielders
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Serie A Midfielders, updated October 2026
Who are the most valuable Midfielders in the Serie A right now?
The most valuable midfielder in the Serie A today is Manu Koné, who is worth €50.0M and plays for Associazione Sportiva Roma. The second most valuable is Nicolò Barella (€50.0M, Inter Milan), followed by Éderson (€45.0M, Atalanta BC). Our database tracks 288 Serie A Midfielders with comprehensive market valuations updated in October 2026.
How are Serie A Midfielders ranked?
Serie A Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Midfielders. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Serie A competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Midfielders peak?
Midfielders typically peak at age 27. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, -15% at 30, and steeper thereafter. Central midfielders require a blend of physicality, technical skill, and tactical awareness. The optimal playing time for peak performance is around 2,400-2,500 minutes per season.
How much does it cost to sign a top midfielder from the Serie A?
Transfer fees for Serie A Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked midfielder Manu Koné (market value: €50.0M), estimated transfer fees would range from €40.0M to €70.0M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Serie A transactions.
What is the value forecast for Serie A Midfielders?
Our 1-year forecast model projects market value changes for Serie A Midfielders based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-midfielders have ±12-15% volatility. Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Serie A midfielder data come from?
Our Serie A midfielder data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Serie A sources and updated monthly (last update October 2026) to ensure accuracy for recruitment and investment decisions.
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