Best Centre-Backs in the Serie A (Mar 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Centre-Backs 2022-23
Our database tracked 102 Serie A Centre-Backs in the 2022-23 season, representing 22 clubs with a combined market value of €1.0B. The average market value for Serie A Centre-Backs was €9.9M, with the average age at 27.0 years old.
The most valuable centre-back in the Serie A was Alessandro Bastoni, worth €80.0M and played for Inter Milan at 26 years old. The top 5 Centre-Backs averaged €50.0M in market value, including Bremer and Alessandro Buongiorno.
Age distribution showed the youngest tracked centre-back was David Odogu (19 years, AC Milan, €5.0M), while the oldest was Raúl Albiol (40 years, Pisa Sporting Club, €1.0M). Research shows Centre-Backs typically peak at age 27.
Historical analysis showed 42 Centre-Backs (41%) 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 Centre-Backs 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 Centre-Backs. Identify undervalued assets and track market momentum across 22 clubs with €1.0B combined value.
Age Distribution: Serie A Centre-Backs
The Serie A CB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (27 players, 26% of market). The 24-26 age group holds the most value at €406.9M, averaging €17.0M per player.
Top Centre-Backs by Age Bracket
U21 Years (4 players)
21-23 Years (21 players)
24-26 Years (24 players)
27-29 Years (26 players)
Market Value Distribution
Elite Tier Concentration
The top 11 Centre-Backs (11% of players) control €421.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Serie A CB pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Centre-Backs
Among 22 Serie A clubs, Inter Milan leads with 6 Centre-Backs worth €149.0M (averaging €24.8M per player). The top 10 clubs account for 51% of tracked Centre-Backs.
Inter Milan (6 Centre-Backs)
Juventus FC (5 Centre-Backs)
Atalanta BC (5 Centre-Backs)
SSC Napoli (5 Centre-Backs)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Alessandro Bastoni
Inter Milan • 26 years old
€69.2M
€80.0M
+15.6%
Expected: €85.7M
93.2
Bremer
Juventus FC • 28 years old
€64.6M
€50.0M
-22.6%
Expected: €45.5M
87.8
Alessandro Buongiorno
SSC Napoli • 26 years old
€43.2M
€50.0M
+15.6%
Expected: €53.6M
87.6
Giorgio Scalvini
Atalanta BC • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
84.0
Yann Bisseck
Inter Milan • 25 years old
€30.3M
€35.0M
+15.6%
Expected: €35.6M
83.6
Mario Gila
SS Lazio • 25 years old
€25.9M
€30.0M
+15.6%
Expected: €29.3M
78.1
Isak Hien
Atalanta BC • 27 years old
€31.7M
€30.0M
-5.4%
Expected: €26.3M
77.8
Evan Ndicka
AS Roma • 26 years old
€25.9M
€30.0M
+15.6%
Expected: €30.9M
77.7
Pierre Kalulu
Juventus FC • 25 years old
€24.2M
€28.0M
+15.6%
Expected: €27.4M
77.3
Sam Beukema
SSC Napoli • 27 years old
€29.6M
€28.0M
-5.4%
Expected: €24.5M
76.9
Odilon Kossounou
Atalanta BC • 25 years old
€21.6M
€25.0M
+15.6%
Expected: €24.4M
75.9
Pietro Comuzzo
ACF Fiorentina • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
75.6
Jhon Lucumí
Bologna FC 1909 • 27 years old
€26.4M
€25.0M
-5.4%
Expected: €21.9M
75.5
Koni De Winter
AC Milan • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Federico Gatti
Juventus FC • 27 years old
€25.4M
€24.0M
-5.4%
Expected: €21.0M
75.0
Manuel Akanji
Inter Milan • 30 years old
€28.4M
€22.0M
-22.6%
Expected: €18.2M
74.2
Fikayo Tomori
AC Milan • 28 years old
€25.8M
€20.0M
-22.6%
Expected: €17.5M
72.8
Strahinja Pavlović
AC Milan • 24 years old
€15.6M
€18.0M
+15.6%
Expected: €18.4M
72.2
Lloyd Kelly
Juventus FC • 27 years old
€19.0M
€18.0M
-5.4%
Expected: €15.8M
71.4
Oumar Solet
Udinese Calcio • 26 years old
€15.6M
€18.0M
+15.6%
Expected: €18.5M
71.3
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)
Atalanta BC's Giorgio Scalvini at 22 years old has the highest Pre-Peak Value Efficiency at 5.83×. That means Giorgio Scalvini is valued 5.83× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Inter Milan's Yann Bisseck, who is 25 years old, with a 4.67× PPVE. Third is Pietro Comuzzo of ACF Fiorentina, who is 21 years old with a 4.17× 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 5.83× means the player is worth 483% 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 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €35.0M | €6.0M | 5.83× |
| #2 | Yann Bisseck Inter Milan | 25 | 24-26 | €35.0M | €7.5M | 4.67× |
| #3 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €25.0M | €6.0M | 4.17× |
| #4 | Mario Gila SS Lazio | 25 | 24-26 | €30.0M | €7.5M | 4.00× |
| #5 | Pierre Kalulu Juventus FC | 25 | 24-26 | €28.0M | €7.5M | 3.73× |
| #6 | Koni De Winter AC Milan | 23 | 21-23 | €22.0M | €6.0M | 3.67× |
| #7 | Odilon Kossounou Atalanta BC | 25 | 24-26 | €25.0M | €7.5M | 3.33× |
| #8 | Strahinja Pavlović AC Milan | 24 | 24-26 | €18.0M | €7.5M | 2.40× |
| #9 | David Odogu AC Milan | 19 | U21 | €5.0M | €3.0M | 1.67× |
| #10 | Daniele Ghilardi AS Roma | 23 | 21-23 | €8.0M | €6.0M | 1.33× |
| #11 | Alessandro Circati Parma Calcio 1913 | 22 | 21-23 | €8.0M | €6.0M | 1.33× |
| #12 | Luca Marianucci SSC Napoli | 21 | 21-23 | €7.5M | €6.0M | 1.25× |
| #13 | Thomas Kristensen Udinese Calcio | 24 | 24-26 | €9.0M | €7.5M | 1.20× |
| #14 | Abdoulaye Ndiaye Parma Calcio 1913 | 23 | 21-23 | €7.0M | €6.0M | 1.17× |
| #15 | Tarik Muharemović US Sassuolo | 23 | 21-23 | €7.0M | €6.0M | 1.17× |
| #16 | Mariano Troilo Parma Calcio 1913 | 22 | 21-23 | €6.5M | €6.0M | 1.08× |
| #17 | Juan Rodríguez Cagliari Calcio | 20 | U21 | €3.0M | €3.0M | 1.00× |
| #18 | Armel Bella-Kotchap Hellas Verona | 24 | 24-26 | €7.5M | €7.5M | 1.00× |
| #19 | Jay Idzes US Sassuolo | 25 | 24-26 | €7.5M | €7.5M | 1.00× |
| #20 | Nicolò Bertola Udinese Calcio | 22 | 21-23 | €6.0M | €6.0M | 1.00× |
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)
AC Milan's David Odogu at 19 years old has the highest Return-to-Peak Potential at +40%. That means David Odogu is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.
In second is Cagliari Calcio's Juan Rodríguez, who is 20 years old, with a +35% RPP (6 years to peak). Third is Matías Pérez of US Lecce, who is 20 years old with a +35% RPP (6 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 40% RPP means the player is expected to gain 40% 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 | David Odogu AC Milan | 19 | 7 | €5.0M | €8.3M | +40% |
| #2 | Juan Rodríguez Cagliari Calcio | 20 | 6 | €3.0M | €4.6M | +35% |
| #3 | Matías Pérez US Lecce | 20 | 6 | €500K | €773K | +35% |
| #4 | Tobias Slotsager Hellas Verona | 20 | 6 | €2.0M | €3.1M | +35% |
| #5 | Sebastian Otoa Genoa CFC | 21 | 5 | €2.0M | €2.9M | +30% |
| #6 | Pietro Comuzzo ACF Fiorentina | 21 | 5 | €25.0M | €35.9M | +30% |
| #7 | Luca Marianucci SSC Napoli | 21 | 5 | €7.5M | €10.8M | +30% |
| #8 | Tiago Gabriel US Lecce | 21 | 5 | €3.0M | €4.3M | +30% |
| #9 | Mikayil Faye US Cremonese | 21 | 5 | €6.0M | €8.6M | +30% |
| #10 | Saba Goglichidze Udinese Calcio | 21 | 5 | €6.0M | €8.6M | +30% |
| #11 | Jacobo Ramón Como 1907 | 21 | 5 | €6.0M | €8.6M | +30% |
| #12 | Giorgio Scalvini Atalanta BC | 22 | 4 | €35.0M | €46.8M | +25% |
| #13 | Oliver Provstgaard SS Lazio | 22 | 4 | €3.5M | €4.7M | +25% |
| #14 | Alessandro Circati Parma Calcio 1913 | 22 | 4 | €8.0M | €10.7M | +25% |
| #15 | Tomás Palacios Inter Milan | 22 | 4 | €4.0M | €5.3M | +25% |
| #16 | Mateus Lusuardi Pisa Sporting Club | 22 | 4 | €800K | €1.1M | +25% |
| #17 | Mariano Troilo Parma Calcio 1913 | 22 | 4 | €6.5M | €8.7M | +25% |
| #18 | Nicolò Bertola Udinese Calcio | 22 | 4 | €6.0M | €8.0M | +25% |
| #19 | Adam Obert Cagliari Calcio | 23 | 3 | €3.0M | €3.7M | +20% |
| #20 | Koni De Winter AC Milan | 23 | 3 | €22.0M | €27.4M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
AC Milan's David Odogu has the highest Risk-Adjusted Upside at 58.0. That means David Odogu has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is US Lecce's Matías Pérez with a 46.3 RAU (15% upside, 0% uncertainty). Third is Tobias Slotsager of Hellas Verona with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 58.0 means the upside is 58.0× 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 | David Odogu AC Milan | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #2 | Matías Pérez US Lecce | €573K | €494K-652K | +15% | 46.3 |
| #3 | Tobias Slotsager Hellas Verona | €2.3M | €2.0M-2.6M | +15% | 46.3 |
| #4 | Juan Rodríguez Cagliari Calcio | €3.4M | €3.0M-3.9M | +15% | 46.3 |
| #5 | Giorgio Scalvini Atalanta BC | €38.6M | €33.9M-43.2M | +10% | 38.4 |
| #6 | Tiago Gabriel US Lecce | €3.3M | €2.9M-3.8M | +10% | 33.7 |
| #7 | Mikayil Faye US Cremonese | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #8 | Saba Goglichidze Udinese Calcio | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #9 | Jacobo Ramón Como 1907 | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #10 | Luca Marianucci SSC Napoli | €8.3M | €7.1M-9.4M | +10% | 33.7 |
| #11 | Pietro Comuzzo ACF Fiorentina | €27.6M | €23.8M-31.4M | +10% | 33.7 |
| #12 | Sebastian Otoa Genoa CFC | €2.2M | €1.9M-2.5M | +10% | 33.7 |
| #13 | Alessandro Bastoni Inter Milan | €85.7M | €75.4M-96.0M | +7% | 27.8 |
| #14 | Alessandro Buongiorno SSC Napoli | €53.6M | €47.2M-60.0M | +7% | 27.8 |
| #15 | Daniele Ghilardi AS Roma | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #16 | Alessandro Marcandalli Genoa CFC | €2.1M | €1.9M-2.4M | +7% | 27.5 |
| #17 | Giovanni Bonfanti Pisa Sporting Club | €4.8M | €4.2M-5.4M | +7% | 27.5 |
| #18 | Abdoulaye Ndiaye Parma Calcio 1913 | €7.5M | €6.6M-8.4M | +7% | 27.5 |
| #19 | Tarik Muharemović US Sassuolo | €7.5M | €6.6M-8.4M | +7% | 27.5 |
| #20 | Koni De Winter AC Milan | €23.6M | €20.7M-26.4M | +7% | 27.5 |
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: centre-back 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)
Inter Milan's Alessandro Bastoni in the 24-26 age bracket has the highest Age-Share Concentration at +17.0%. That means Alessandro Bastoni captures 40.5% of total market value while representing only 23.5% of players in their age group—showing dominant elite status.
In second is AC Milan's Matteo Gabbia with a +17.0% ASC (40.5% value share vs 23.5% player share in 24-26 bracket). Third is Enzo Ebosse of Hellas Verona with a +17.0% ASC (40.5% value vs 23.5% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +17.0% ASC means the player captures 17.0% 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 | Alessandro Bastoni Inter Milan | 24-26 | 40.5% | 23.5% | +17.0% |
| #2 | Matteo Gabbia AC Milan | 24-26 | 40.5% | 23.5% | +17.0% |
| #3 | Enzo Ebosse Hellas Verona | 24-26 | 40.5% | 23.5% | +17.0% |
| #4 | Sebastian Walukiewicz US Sassuolo | 24-26 | 40.5% | 23.5% | +17.0% |
| #5 | Luca Ranieri ACF Fiorentina | 24-26 | 40.5% | 23.5% | +17.0% |
| #6 | Simone Canestrelli Pisa Sporting Club | 24-26 | 40.5% | 23.5% | +17.0% |
| #7 | Leo Østigård Genoa CFC | 24-26 | 40.5% | 23.5% | +17.0% |
| #8 | Evan Ndicka AS Roma | 24-26 | 40.5% | 23.5% | +17.0% |
| #9 | Alessandro Buongiorno SSC Napoli | 24-26 | 40.5% | 23.5% | +17.0% |
| #10 | Cas Odenthal US Sassuolo | 24-26 | 40.5% | 23.5% | +17.0% |
| #11 | Perr Schuurs Torino FC | 24-26 | 40.5% | 23.5% | +17.0% |
| #12 | Yann Bisseck Inter Milan | 24-26 | 40.5% | 23.5% | +17.0% |
| #13 | Oumar Solet Udinese Calcio | 24-26 | 40.5% | 23.5% | +17.0% |
| #14 | Armel Bella-Kotchap Hellas Verona | 24-26 | 40.5% | 23.5% | +17.0% |
| #15 | Mattia Viti ACF Fiorentina | 24-26 | 40.5% | 23.5% | +17.0% |
| #16 | Jay Idzes US Sassuolo | 24-26 | 40.5% | 23.5% | +17.0% |
| #17 | Strahinja Pavlović AC Milan | 24-26 | 40.5% | 23.5% | +17.0% |
| #18 | Pierre Kalulu Juventus FC | 24-26 | 40.5% | 23.5% | +17.0% |
| #19 | Mario Gila SS Lazio | 24-26 | 40.5% | 23.5% | +17.0% |
| #20 | Odilon Kossounou Atalanta BC | 24-26 | 40.5% | 23.5% | +17.0% |
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: 1 immediate targets, 24 standard acquisitions, 0 watch-list prospects, 43 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 €80.0M. 0 undervalued, 2 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Gianluca Mancini AS Roma | €15.0M | €6.0M | -1.29 | Good Value |
Mateus Lusuardi Pisa Sporting Club | €800K | €6.0M | -1.10 | Good Value |
Kevin Bonifazi Bologna FC 1909 | €300K | €6.0M | -1.00 | Good Value |
Alessandro Buongiorno SSC Napoli | €50.0M | €6.0M | -1.00 | Good Value |
Nicolò Casale Bologna FC 1909 | €6.0M | €6.0M | -1.00 | Good Value |
Ardian Ismajli Torino FC | €6.0M | €6.0M | -1.00 | Good Value |
Koni De Winter AC Milan | €22.0M | €6.0M | -1.00 | Good Value |
Lloyd Kelly Juventus FC | €18.0M | €6.0M | -0.86 | Good Value |
Arturo Calabresi Pisa Sporting Club | €700K | €6.0M | -0.85 | Good Value |
Filippo Romagna US Sassuolo | €800K | €6.0M | -0.81 | Good Value |
Nicolás Valentini Hellas Verona | €6.0M | €6.0M | -0.75 | Good Value |
Antonio Caracciolo Pisa Sporting Club | €350K | €6.0M | -0.75 | Good Value |
Federico Ceccherini US Cremonese | €400K | €6.0M | -0.73 | Good Value |
Stefan Posch Como 1907 | €7.0M | €6.0M | -0.67 | Good Value |
Nicolò Bertola Udinese Calcio | €6.0M | €6.0M | -0.67 | Good Value |
Mikayil Faye US Cremonese | €6.0M | €6.0M | -0.67 | Good Value |
Saba Goglichidze Udinese Calcio | €6.0M | €6.0M | -0.67 | Good Value |
Jacobo Ramón Como 1907 | €6.0M | €6.0M | -0.67 | Good Value |
Matías Pérez US Lecce | €500K | €6.0M | -0.60 | Good Value |
Danilo D'Ambrosio AC Monza | €700K | €6.0M | -0.59 | Good Value |