Best Players (All Positions) in the Serie A (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Players (All Positions) 2022-23
Our database tracked 486 Serie A Players (All Positions) in the 2022-23 season, representing 20 clubs with a combined market value of €5.0B. The average market value for Serie A Players (All Positions) was €10.3M, with the average age at 26.9 years old.
The most valuable player in the Serie A was Lautaro Martínez, worth €85.0M and played for Inter Milan at 28 years old. The top 5 Players (All Positions) averaged €74.0M in market value, including Alessandro Bastoni and Kenan Yıldız.
Age distribution showed the youngest tracked player was Honest Ahanor (18 years, Atalanta BC, €25.0M), while the oldest was Luka Modrić (40 years, AC Milan, €4.0M). Research shows Players (All Positions) typically peak at age 26-27.
Historical analysis showed 220 Players (All Positions) (45%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Serie A market for Players (All Positions) remained highly competitive with significant transfer activity in the 2022-23 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 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 20 clubs with €5.0B 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 24-26 bracket (137 players, 28% of market). The 24-26 age group holds the most value at €1.7B, averaging €12.6M per player.
Top Players (All Positions) by Age Bracket
U21 Years (22 players)
21-23 Years (94 players)
24-26 Years (137 players)
27-29 Years (110 players)
Market Value Distribution
Elite Tier Concentration
The top 49 Players (All Positions) (10% of players) control €1.9B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Serie A ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Players (All Positions)
Among 20 Serie A clubs, Inter Milan leads with 22 Players (All Positions) worth €601.8M (averaging €27.4M per player). The top 10 clubs account for 48% of tracked Players (All Positions).
Inter Milan (22 Players (All Positions))
Juventus FC (25 Players (All Positions))
AC Milan (22 Players (All Positions))
Atalanta BC (24 Players (All Positions))
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Lautaro Martínez
Inter Milan • 28 years old
€109.8M
€85.0M
-22.6%
Expected: €77.4M
93.8
Alessandro Bastoni
Inter Milan • 27 years old
€84.5M
€80.0M
-5.4%
Expected: €72.9M
93.3
Kenan Yıldız
Juventus FC • 21 years old
€64.9M
€75.0M
+15.6%
Expected: €86.1M
92.9
Rafael Leão
AC Milan • 26 years old
€60.5M
€70.0M
+15.6%
Expected: €75.0M
91.8
Nicolò Barella
Inter Milan • 29 years old
€77.5M
€60.0M
-22.6%
Expected: €51.8M
90.2
Marcus Thuram
Inter Milan • 28 years old
€77.5M
€60.0M
-22.6%
Expected: €54.7M
90.1
Nico Paz
Como 1907 • 21 years old
€56.2M
€65.0M
+15.6%
Expected: €74.6M
90.0
Christian Pulisic
AC Milan • 27 years old
€63.4M
€60.0M
-5.4%
Expected: €54.7M
90.0
Manu Koné
AS Roma • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €50.9M
88.1
Federico Dimarco
Inter Milan • 28 years old
€64.6M
€50.0M
-22.6%
Expected: €45.5M
87.8
Rasmus Højlund
SSC Napoli • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
87.7
Mile Svilar
AS Roma • 26 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
86.8
Scott McTominay
SSC Napoli • 29 years old
€58.1M
€45.0M
-22.6%
Expected: €38.8M
86.6
Alessandro Buongiorno
SSC Napoli • 26 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
86.3
Moise Kean
ACF Fiorentina • 26 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
86.3
Khéphren Thuram
Juventus FC • 25 years old
€34.6M
€40.0M
+15.6%
Expected: €40.7M
85.3
Éderson
Atalanta BC • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €42.9M
84.8
Loïs Openda
Juventus FC • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €42.9M
84.8
Matías Soulé
AS Roma • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €39.0M
84.6
Ardon Jashari
AC Milan • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
84.0
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)
Juventus FC's Kenan Yıldız at 21 years old has the highest Pre-Peak Value Efficiency at 11.54×. That means Kenan Yıldız is valued 11.54× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Como 1907's Nico Paz, who is 21 years old, with a 10.00× PPVE. Third is Rasmus Højlund of SSC Napoli, who is 23 years old with a 6.92× 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 11.54× means the player is worth 1054% 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 | Kenan Yıldız Juventus FC | 21 | 21-23 | €75.0M | €6.5M | 11.54× |
| #2 | Nico Paz Como 1907 | 21 | 21-23 | €65.0M | €6.5M | 10.00× |
| #3 | Rasmus Højlund SSC Napoli | 23 | 21-23 | €45.0M | €6.5M | 6.92× |
| #4 | Manu Koné AS Roma | 25 | 24-26 | €50.0M | €7.5M | 6.67× |
| #5 | Matías Soulé AS Roma | 23 | 21-23 | €35.0M | €6.5M | 5.38× |
| #6 | Ange-Yoan Bonny Inter Milan | 22 | 21-23 | €35.0M | €6.5M | 5.38× |
| #7 | Santiago Castro Bologna FC 1909 | 21 | 21-23 | €35.0M | €6.5M | 5.38× |
| #8 | Wesley AS Roma | 22 | 21-23 | €35.0M | €6.5M | 5.38× |
| #9 | Khéphren Thuram Juventus FC | 25 | 24-26 | €40.0M | €7.5M | 5.33× |
| #10 | Ardon Jashari AC Milan | 23 | 21-23 | €32.0M | €6.5M | 4.92× |
| #11 | Charles De Ketelaere Atalanta BC | 25 | 24-26 | €35.0M | €7.5M | 4.67× |
| #12 | Yann Bisseck Inter Milan | 25 | 24-26 | €35.0M | €7.5M | 4.67× |
| #13 | Francisco Conceição Juventus FC | 23 | 21-23 | €30.0M | €6.5M | 4.62× |
| #14 | Assane Diao Como 1907 | 20 | U21 | €30.0M | €7.5M | 4.00× |
| #15 | Jesús Rodríguez Como 1907 | 20 | U21 | €30.0M | €7.5M | 4.00× |
| #16 | Mario Gila SS Lazio | 25 | 24-26 | €30.0M | €7.5M | 4.00× |
| #17 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €25.0M | €6.5M | 3.85× |
| #18 | Evan Ferguson AS Roma | 21 | 21-23 | €25.0M | €6.5M | 3.85× |
| #19 | Máximo Perrone Como 1907 | 23 | 21-23 | €25.0M | €6.5M | 3.85× |
| #20 | Marco Palestra Cagliari Calcio | 21 | 21-23 | €25.0M | €6.5M | 3.85× |
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)
US Lecce's Francesco Camarda at 18 years old has the highest Return-to-Peak Potential at +44%. That means Honest Ahanor is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is Atalanta BC's Honest Ahanor, who is 18 years old, with a +44% RPP (8 years to peak). Third is Darryl Bakola of US Sassuolo, 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 | Francesco Camarda US Lecce | 18 | 8 | €15.0M | €26.8M | +44% |
| #2 | Honest Ahanor Atalanta BC | 18 | 8 | €25.0M | €44.7M | +44% |
| #3 | Darryl Bakola US Sassuolo | 18 | 8 | €4.0M | €7.1M | +44% |
| #4 | Buba Sangaré AS Roma | 18 | 8 | €1.0M | €1.8M | +44% |
| #5 | Lorenzo Torriani AC Milan | 21 | 5 | €500K | €894K | +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 | Branimir Mlacic Udinese Calcio | 19 | 7 | €4.0M | €6.6M | +40% |
| #9 | Lennon Miller Udinese Calcio | 19 | 7 | €8.0M | €13.3M | +40% |
| #10 | Jeff Ekhator Genoa CFC | 19 | 7 | €7.0M | €11.6M | +40% |
| #11 | Gioele Zacchi US Sassuolo | 22 | 4 | €600K | €997K | +40% |
| #12 | David Odogu AC Milan | 19 | 7 | €5.0M | €8.3M | +40% |
| #13 | Assane Diao Como 1907 | 20 | 6 | €30.0M | €46.4M | +35% |
| #14 | Agustín Albarracín Cagliari Calcio | 20 | 6 | €1.8M | €2.8M | +35% |
| #15 | Juan Arizala Udinese Calcio | 20 | 6 | €1.0M | €1.5M | +35% |
| #16 | Jesús Rodríguez Como 1907 | 20 | 6 | €30.0M | €46.4M | +35% |
| #17 | Jayden Addai Como 1907 | 20 | 6 | €20.0M | €30.9M | +35% |
| #18 | Tobias Slotsager Hellas Verona | 20 | 6 | €2.0M | €3.1M | +35% |
| #19 | Semih Kılıçsoy Cagliari Calcio | 20 | 6 | €10.0M | €15.5M | +35% |
| #20 | Vasilije Adžić Juventus FC | 20 | 6 | €8.0M | €12.4M | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
AC Milan's Lorenzo Torriani has the highest Risk-Adjusted Upside at 103.3. That means Lorenzo Torriani has 23% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is US Sassuolo's Gioele Zacchi with a 100.1 RAU (19% upside, 0% uncertainty). Third is Filippo Rinaldi of Parma Calcio 1913 with a 79.9 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 103.3 means the upside is 103.3× 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 | Lorenzo Torriani AC Milan | €617K | €561K-674K | +23% | 103.3 |
| #2 | Gioele Zacchi US Sassuolo | €714K | €657K-772K | +19% | 100.1 |
| #3 | Filippo Rinaldi Parma Calcio 1913 | €344K | €316K-371K | +15% | 79.9 |
| #4 | Zion Suzuki Parma Calcio 1913 | €22.9M | €21.1M-24.8M | +15% | 79.9 |
| #5 | Răzvan Sava Udinese Calcio | €2.9M | €2.6M-3.1M | +15% | 79.9 |
| #6 | Buba Sangaré AS Roma | €1.2M | €1.1M-1.4M | +23% | 68.9 |
| #7 | Honest Ahanor Atalanta BC | €30.9M | €26.6M-35.1M | +23% | 68.9 |
| #8 | Francesco Camarda US Lecce | €18.5M | €16.0M-21.1M | +23% | 68.9 |
| #9 | Mile Svilar AS Roma | €39.0M | €35.9M-42.1M | +11% | 64.1 |
| #10 | Stefano Turati US Sassuolo | €3.3M | €3.0M-3.6M | +10% | 58.1 |
| #11 | Branimir Mlacic Udinese Calcio | €4.8M | €4.1M-5.4M | +19% | 58.0 |
| #12 | Lennon Miller Udinese Calcio | €9.5M | €8.2M-10.8M | +19% | 58.0 |
| #13 | David Odogu AC Milan | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #14 | Jeff Ekhator Genoa CFC | €8.3M | €7.2M-9.5M | +19% | 58.0 |
| #15 | Darryl Bakola US Sassuolo | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #16 | Santiago Castro Bologna FC 1909 | €40.2M | €34.6M-45.7M | +15% | 46.6 |
| #17 | Kenan Yıldız Juventus FC | €86.1M | €74.2M-97.9M | +15% | 46.6 |
| #18 | Adrian Przyborek SS Lazio | €8.3M | €6.9M-9.8M | +19% | 46.4 |
| #19 | Lorran Pisa Sporting Club | €8.9M | €7.4M-10.5M | +19% | 46.4 |
| #20 | Agustín Albarracín Cagliari Calcio | €2.1M | €1.8M-2.3M | +15% | 46.3 |
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: player 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)
Juventus FC's Mattia Perin in the 30+ age bracket has the highest Age-Share Concentration at +-14.4%. That means Mike Maignan captures 10.9% of total market value while representing only 25.3% of players in their age group—showing dominant elite status.
In second is Inter Milan's Stefan de Vrij with a +-14.4% ASC (10.9% value share vs 25.3% player share in 30+ bracket). Third is Benjamin Siegrist of Genoa CFC with a +-14.4% ASC (10.9% value vs 25.3% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-14.4% ASC means the player captures -14.4% 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 | Mattia Perin Juventus FC | 30+ | 10.9% | 25.3% | -14.4% |
| #2 | Stefan de Vrij Inter Milan | 30+ | 10.9% | 25.3% | -14.4% |
| #3 | Benjamin Siegrist Genoa CFC | 30+ | 10.9% | 25.3% | -14.4% |
| #4 | Leonardo Spinazzola SSC Napoli | 30+ | 10.9% | 25.3% | -14.4% |
| #5 | Juan Jesus SSC Napoli | 30+ | 10.9% | 25.3% | -14.4% |
| #6 | Cristiano Biraghi Torino FC | 30+ | 10.9% | 25.3% | -14.4% |
| #7 | Hakan Çalhanoğlu Inter Milan | 30+ | 10.9% | 25.3% | -14.4% |
| #8 | Patric SS Lazio | 30+ | 10.9% | 25.3% | -14.4% |
| #9 | Álvaro Morata Como 1907 | 30+ | 10.9% | 25.3% | -14.4% |
| #10 | Francesco Acerbi Inter Milan | 30+ | 10.9% | 25.3% | -14.4% |
| #11 | Marten de Roon Atalanta BC | 30+ | 10.9% | 25.3% | -14.4% |
| #12 | Luca Lezzerini ACF Fiorentina | 30+ | 10.9% | 25.3% | -14.4% |
| #13 | Nicola Leali Genoa CFC | 30+ | 10.9% | 25.3% | -14.4% |
| #14 | Charalampos Lykogiannis Bologna FC 1909 | 30+ | 10.9% | 25.3% | -14.4% |
| #15 | Matías Vecino SS Lazio | 30+ | 10.9% | 25.3% | -14.4% |
| #16 | Remo Freuler Bologna FC 1909 | 30+ | 10.9% | 25.3% | -14.4% |
| #17 | Antonio Caracciolo Pisa Sporting Club | 30+ | 10.9% | 25.3% | -14.4% |
| #18 | Raúl Albiol Pisa Sporting Club | 30+ | 10.9% | 25.3% | -14.4% |
| #19 | Adrien Tamèze Torino FC | 30+ | 10.9% | 25.3% | -14.4% |
| #20 | Marc Oliver Kempf Como 1907 | 30+ | 10.9% | 25.3% | -14.4% |
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: 12 immediate targets, 111 standard acquisitions, 0 watch-list prospects, 211 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 €1.3M. 3 undervalued, 12 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
David Odogu AC Milan | €5.0M | €6.0M | -2.50 | Undervalued |
İsak Vural Pisa Sporting Club | €5.0M | €6.0M | -2.50 | Undervalued |
Francisco Conceição Juventus FC | €30.0M | €6.0M | -1.67 | Undervalued |
Andrea Pinamonti US Sassuolo | €15.0M | €6.0M | -1.40 | Good Value |
Jens Odgaard Bologna FC 1909 | €15.0M | €6.0M | -1.40 | Good Value |
Edoardo Corvi Parma Calcio 1913 | €700K | €6.0M | -1.40 | Good Value |
Corrie Ndaba US Lecce | €900K | €6.0M | -1.27 | Good Value |
Giacomo Satalino US Sassuolo | €400K | €6.0M | -1.24 | Good Value |
Christian Früchtl US Lecce | €1.0M | €6.0M | -1.20 | Good Value |
Perr Schuurs Torino FC | €1.0M | €6.0M | -1.20 | Good Value |
Junior Ajayi Hellas Verona | €300K | €6.0M | -1.10 | Good Value |
Filippo Rinaldi Parma Calcio 1913 | €300K | €6.0M | -1.10 | Good Value |
Hugo Cuenca Genoa CFC | €300K | €6.0M | -1.10 | Good Value |
Malthe Højholt Pisa Sporting Club | €1.2M | €6.0M | -1.07 | Good Value |
Matías Pérez US Lecce | €500K | €6.0M | -1.00 | Good Value |
Filippo Romagna US Sassuolo | €800K | €6.0M | -1.00 | Good Value |
Angeliño AS Roma | €17.0M | €6.0M | -1.00 | Good Value |
Evan Ndicka AS Roma | €30.0M | €6.0M | -1.00 | Good Value |
Alessandro Zanoli Udinese Calcio | €5.0M | €6.0M | -1.00 | Good Value |
Tino Anjorin Torino FC | €5.0M | €6.0M | -1.00 | Good Value |