Best Players (All Positions) in the Serie A (Oct 2026)
953 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.
Nico Paz
Como 1907 • 22 years old
€69.2M
€80.0M
+15.6%
Expected: €77.8M
93.5
Lautaro Martínez
Inter Milan • 29 years old
€109.8M
€85.0M
-22.6%
Expected: €66.3M
92.6
Alessandro Bastoni
Inter Milan • 27 years old
€56.2M
€65.0M
+15.6%
Expected: €64.2M
92.5
Kenan Yıldız
Juventus FC • 21 years old
€64.9M
€75.0M
+15.6%
Expected: €75.7M
92.1
Yann Bisseck
Inter Milan • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €51.4M
90.1
Rasmus Højlund
SSC Napoli • 23 years old
€51.9M
€60.0M
+15.6%
89.8
Federico Dimarco
Inter Milan • 28 years old
€43.2M
€50.0M
+15.6%
88.7
Manu Koné
Associazione Sportiva Roma • 25 years old
€43.2M
€50.0M
+15.6%
88.6
Nicolò Barella
Inter Milan • 29 years old
€64.6M
€50.0M
-22.6%
87.8
Strahinja Pavlović
AC Milan • 25 years old
€34.6M
€40.0M
+15.6%
87.3
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Sign up freeNico Paz
Como 1907 · 22 years old
93.5
ASI
Current Value
€80.0M
% Change
+15.6%
1yr Forecast Range
€67.7M - €88.0M
Lautaro Martínez
Inter Milan · 29 years old
92.6
ASI
Current Value
€85.0M
% Change
-22.6%
1yr Forecast Range
€54.4M - €78.3M
Alessandro Bastoni
Inter Milan · 27 years old
92.5
ASI
Current Value
€65.0M
% Change
+15.6%
1yr Forecast Range
€57.8M - €70.7M
Kenan Yıldız
Juventus FC · 21 years old
92.1
ASI
Current Value
€75.0M
% Change
+15.6%
1yr Forecast Range
€60.1M - €91.4M
Yann Bisseck
Inter Milan · 25 years old
90.1
ASI
Current Value
€50.0M
% Change
+15.6%
1yr Forecast Range
€46.2M - €56.5M
Rasmus Højlund
SSC Napoli · 23 years old
89.8
ASI
Current Value
€60.0M
% Change
+15.6%
1yr Forecast Range
Federico Dimarco
Inter Milan · 28 years old
88.7
ASI
Current Value
€50.0M
% Change
+15.6%
1yr Forecast Range
Manu Koné
Associazione Sportiva Roma · 25 years old
88.6
ASI
Current Value
€50.0M
% Change
+15.6%
1yr Forecast Range
Nicolò Barella
Inter Milan · 29 years old
87.8
ASI
Current Value
€50.0M
% Change
-22.6%
1yr Forecast Range
Strahinja Pavlović
AC Milan · 25 years old
87.3
ASI
Current Value
€40.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Serie A Players (All Positions) (updated October 2026)
Our database tracks 953 Serie A Players (All Positions) as of October 2026, representing 38 clubs with a combined market value of €5.9B. The average market value for Serie A Players (All Positions) is €6.2M, with the average age at 28 years old.
The most valuable player in the Serie A is Nico Paz, worth €80.0M and playing for Como 1907 at 22 years old. The top 5 Players (All Positions) average €71.0M in market value, including Lautaro Martínez and Alessandro Bastoni.
Age distribution shows the youngest tracked player is Honest Ahanor (18 years, Atalanta BC, €30.0M), while the oldest is Edin Dzeko (40 years, ACF Fiorentina, €1.0M). Research shows Players (All Positions) typically peak at age 26.
Our 1-year forecast model projects 285 Players (All Positions) (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 Players (All Positions) 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 Players (All Positions). Identify undervalued assets and track market momentum across 38 clubs with €5.9B combined value.
Age Distribution: Serie A Players (All Positions)
The Serie A ALL market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (331 players, 35% of market). The 27-29 age group holds the most value at €1.8B, averaging €9.0M per player.
Top Players (All Positions) by Age Bracket
U21 Years (58 players)
21-23 Years (146 players)
24-26 Years (215 players)
27-29 Years (203 players)
Market Value Distribution
Elite Tier Concentration
The top 96 Players (All Positions) (10% of players) control €3.0B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the Serie A ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Players (All Positions)
Among 38 Serie A clubs, Inter Milan leads with 40 Players (All Positions) worth €629.1M (averaging €15.7M per player). The top 10 clubs account for 41% of tracked Players (All Positions).
Inter Milan (40 Players (All Positions))
Juventus FC (45 Players (All Positions))
Associazione Sportiva Roma (37 Players (All Positions))
AC Milan (33 Players (All Positions))
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)
Como 1907's Nico Paz at 22 years old has the highest Pre-Peak Value Efficiency at 20.00×. That means Nico Paz is valued 20.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Juventus FC's Kenan Yıldız, who is 21 years old, with a 18.75× PPVE. Third is Honest Ahanor of Atalanta BC, who is 18 years old with a 15.00× 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 20.00× means the player is worth 1900% 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 | Nico Paz Como 1907 | 22 | 21-23 | €80.0M | €4.0M | 20.00x |
| #2 | Kenan Yıldız Juventus FC | 21 | 21-23 | €75.0M | €4.0M | 18.75x |
| #3 | Honest Ahanor Atalanta BC | 18 | U21 | €30.0M | €2.0M | 15.00x |
| #4 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €2.0M | 15.00x |
| #5 | Rasmus Højlund SSC Napoli | 23 | 21-23 | €60.0M | €4.0M | 15.00x |
| #6 | Yann Bisseck Inter Milan | 25 | 24-26 | €50.0M | €4.0M | 12.50x |
| #7 | Manu Koné Associazione Sportiva Roma | 25 | 24-26 | €50.0M | €4.0M | 12.50x |
| #8 | Pio Esposito Inter Milan | 21 | 21-23 | €45.0M | €4.0M | 11.25x |
| #9 | Davide Bartesaghi AC Milan | 20 | U21 | €22.0M | €2.0M | 11.00x |
| #10 | Strahinja Pavlović AC Milan | 25 | 24-26 | €40.0M | €4.0M | 10.00x |
| #11 | Petar Sučić Inter Milan | 22 | 21-23 | €40.0M | €4.0M | 10.00x |
| #12 | Wesley Associazione Sportiva Roma | 23 | 21-23 | €40.0M | €4.0M | 10.00x |
| #13 | Khéphren Thuram Juventus FC | 25 | 24-26 | €38.0M | €4.0M | 9.50x |
| #14 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €38.0M | €4.0M | 9.50x |
| #15 | Jeff Ekhator Genoa CFC | 19 | U21 | €18.0M | €2.0M | 9.00x |
| #16 | Máximo Perrone Como 1907 | 23 | 21-23 | €35.0M | €4.0M | 8.75x |
| #17 | Matías Soulé Associazione Sportiva Roma | 23 | 21-23 | €35.0M | €4.0M | 8.75x |
| #18 | Ange-Yoan Bonny Inter Milan | 22 | 21-23 | €35.0M | €4.0M | 8.75x |
| #19 | Marco Palestra Cagliari Calcio | 21 | 21-23 | €35.0M | €4.0M | 8.75x |
| #20 | Santiago Castro Bologna Football Club 1909 | 22 | 21-23 | €32.0M | €4.0M | 8.00x |
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 Players (All Positions).
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 Players (All Positions).
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
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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 Players (All Positions).
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 Players (All Positions).
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
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Upgrade to FanIf you were Serie A's sporting director, who would you sign?
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How We Rank Serie A Players (All Positions)
Our Analytical Strength Index is calibrated specifically for players (all positions), 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 ALL
Historical Achievement Index (35%)
Peak career market value for Serie A players (all positions), 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 players (all positions), 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.
ALL 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 players (all positions)
• 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 Players (All Positions), updated October 2026
Who are the most valuable Players (All Positions) in the Serie A right now?
The most valuable player in the Serie A today is Nico Paz, who is worth €80.0M and plays for Como 1907. The second most valuable is Lautaro Martínez (€85.0M, Inter Milan), followed by Alessandro Bastoni (€65.0M, Inter Milan). Our database tracks 953 Serie A Players (All Positions) with comprehensive market valuations updated in October 2026.
How are Serie A Players (All Positions) ranked?
Serie A Players (All Positions) are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Players (All Positions). 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 Players (All Positions) peak?
How much does it cost to sign a top player from the Serie A?
Transfer fees for Serie A Players (All Positions) vary significantly based on market value, contract length, and club bargaining position. For the top-ranked player Nico Paz (market value: €80.0M), estimated transfer fees would range from €64.0M to €112.0M 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 Players (All Positions)?
Our 1-year forecast model projects market value changes for Serie A Players (All Positions) 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 player data come from?
Our Serie A player 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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