Best Centre-Backs in the Serie A (Sep 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.
Alessandro Bastoni
Inter Milan • 27 years old
€56.2M
€65.0M
+15.6%
Expected: €64.2M
92.5
Yann Bisseck
Inter Milan • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €51.4M
90.1
Strahinja Pavlović
AC Milan • 25 years old
€34.6M
€40.0M
+15.6%
Expected: €41.1M
87.3
Giorgio Scalvini
Atalanta BC • 22 years old
€32.9M
€38.0M
+15.6%
Expected: €38.4M
85.8
Evan Ndicka
Associazione Sportiva Roma • 27 years old
€30.3M
€35.0M
+15.6%
Expected: €34.6M
84.6
Bremer
Juventus FC • 29 years old
€37.0M
€35.0M
-5.4%
Expected: €30.5M
84.4
Pierre Kalulu
Juventus FC • 26 years old
€27.7M
€32.0M
+15.6%
Expected: €32.9M
84.0
Mario Gila
Società Sportiva Lazio S.p.A. • 26 years old
€25.9M
€30.0M
+15.6%
Expected: €29.6M
79.6
Alessandro Buongiorno
SSC Napoli • 27 years old
€25.9M
€30.0M
+15.6%
Expected: €28.5M
79.1
Jacobo Ramón
Como 1907 • 21 years old
€25.9M
€30.0M
+15.6%
Expected: €29.1M
78.9
Honest Ahanor
Atalanta BC • 18 years old
€25.9M
€30.0M
+15.6%
Expected: €32.1M
78.0
Perr Schuurs
Torino FC • 26 years old
€21.6M
€25.0M
+15.6%
Expected: €25.6M
77.3
Tarik Muharemović
US Sassuolo • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €24.3M
77.1
Koni De Winter
AC Milan • 24 years old
€19.9M
€23.0M
+15.6%
Expected: €22.3M
76.4
Oumar Solet
Udinese Calcio • 26 years old
€19.9M
€23.0M
+15.6%
Expected: €23.6M
76.2
Lloyd Kelly
Juventus FC • 27 years old
€19.9M
€23.0M
+15.6%
Expected: €21.8M
75.7
Sam Beukema
SSC Napoli • 27 years old
€19.0M
€22.0M
+15.6%
Expected: €20.9M
75.2
Isak Hien
Atalanta BC • 27 years old
€19.0M
€22.0M
+15.6%
Expected: €20.9M
75.2
Raphaël Varane
Como 1907 • 33 years old
€25.8M
€20.0M
-22.6%
Expected: €11.5M
74.7
Jhon Lucumí
Bologna Football Club 1909 • 28 years old
€19.0M
€22.0M
+15.6%
Expected: €21.1M
74.7
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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 37 clubs with €1.3B 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 (155 players, 44% of market). The 27-29 age group holds the most value at €403.3M, averaging €5.9M per player.
Top Centre-Backs by Age Bracket
U21 Years (17 players)
21-23 Years (56 players)
24-26 Years (59 players)
27-29 Years (68 players)
Market Value Distribution
Elite Tier Concentration
The top 36 Centre-Backs (10% of players) control €856.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the Serie A CB pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Centre-Backs
Among 37 Serie A clubs, Inter Milan leads with 17 Centre-Backs worth €126.6M (averaging €7.4M per player). The top 10 clubs account for 39% of tracked Centre-Backs.
Inter Milan (17 Centre-Backs)
Atalanta BC (16 Centre-Backs)
Juventus FC (15 Centre-Backs)
AC Milan (12 Centre-Backs)
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)
Inter Milan's Yann Bisseck at 25 years old has the highest Pre-Peak Value Efficiency at 62.50×. That means Yann Bisseck is valued 62.50× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is AC Milan's Strahinja Pavlović, who is 25 years old, with a 50.00× PPVE. Third is Giorgio Scalvini of Atalanta BC, who is 22 years old with a 47.50× 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 62.50× means the player is worth 6150% 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 | Yann Bisseck Inter Milan | 25 | 24-26 | €50.0M | €800K | 62.50× |
| #2 | Strahinja Pavlović AC Milan | 25 | 24-26 | €40.0M | €800K | 50.00× |
| #3 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €38.0M | €800K | 47.50× |
| #4 | Jacobo Ramón Como 1907 | 21 | 21-23 | €30.0M | €800K | 37.50× |
| #5 | Tarik Muharemović US Sassuolo | 23 | 21-23 | €25.0M | €800K | 31.25× |
| #6 | Koni De Winter AC Milan | 24 | 24-26 | €23.0M | €800K | 28.75× |
| #7 | Honest Ahanor Atalanta BC | 18 | U21 | €30.0M | €1.2M | 25.00× |
| #8 | Daniele Ghilardi Associazione Sportiva Roma | 23 | 21-23 | €18.0M | €800K | 22.50× |
| #9 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €18.0M | €800K | 22.50× |
| #10 | Oliver Provstgaard Società Sportiva Lazio S.p.A. | 23 | 21-23 | €16.0M | €800K | 20.00× |
| #11 | Tiago Gabriel US Lecce | 21 | 21-23 | €15.0M | €800K | 18.75× |
| #12 | Odilon Kossounou Atalanta BC | 25 | 24-26 | €15.0M | €800K | 18.75× |
| #13 | Alessandro Marcandalli Genoa CFC | 23 | 21-23 | €14.0M | €800K | 17.50× |
| #14 | Martin Vitík Bologna Football Club 1909 | 23 | 21-23 | €13.0M | €800K | 16.25× |
| #15 | Jan Ziolkowski Associazione Sportiva Roma | 21 | 21-23 | €12.0M | €800K | 15.00× |
| #16 | Thomas Kristensen Udinese Calcio | 24 | 24-26 | €12.0M | €800K | 15.00× |
| #17 | Alessandro Circati Parma Calcio 1913 | 22 | 21-23 | €12.0M | €800K | 15.00× |
| #18 | Mariano Troilo Parma Calcio 1913 | 23 | 21-23 | €10.0M | €800K | 12.50× |
| #19 | Juan Rodríguez Cagliari Calcio | 21 | 21-23 | €10.0M | €800K | 12.50× |
| #20 | Eivind Helland Bologna Football Club 1909 | 21 | 21-23 | €8.0M | €800K | 10.00× |
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)
Udinese Calcio's Matteo Palma at 18 years old has the highest Return-to-Peak Potential at +52%. That means Honest Ahanor is projected to appreciate 52% 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 +52% RPP (8 years to peak). Third is Dawid Bembnista of FC Empoli, who is 19 years old with a +48% 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 52% RPP means the player is expected to gain 52% 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 | Matteo Palma Udinese Calcio | 18 | 8 | €5.0M | €10.3M | +52% |
| #2 | Honest Ahanor Atalanta BC | 18 | 8 | €30.0M | €62.0M | +52% |
| #3 | Dawid Bembnista FC Empoli | 19 | 7 | €175K | €336K | +48% |
| #4 | Eman Košpo ACF Fiorentina | 19 | 7 | €1.5M | €2.9M | +48% |
| #5 | Branimir Mlacic Udinese Calcio | 19 | 7 | €5.0M | €9.6M | +48% |
| #6 | Fellipe Jack Como 1907 | 20 | 6 | €1.8M | €3.2M | +44% |
| #7 | Gabriele Re Cecconi Inter Milan | 20 | 6 | €700K | €1.3M | +44% |
| #8 | Tobias Slotsager Hellas Verona | 20 | 6 | €3.0M | €5.4M | +44% |
| #9 | Relja Obric Atalanta BC | 20 | 6 | €800K | €1.4M | +44% |
| #10 | Andrea Cogoni Cagliari Calcio | 20 | 6 | €400K | €715K | +44% |
| #11 | Javier Gil Juventus FC | 20 | 6 | €1.0M | €1.8M | +44% |
| #12 | Matteo Duțu AC Milan | 20 | 6 | €300K | €536K | +44% |
| #13 | Luigi D'Avino SSC Napoli | 20 | 6 | €125K | €223K | +44% |
| #14 | Samuel John Nwachukwu Udinese Calcio | 20 | 6 | €150K | €268K | +44% |
| #15 | David Odogu AC Milan | 20 | 6 | €5.0M | €8.9M | +44% |
| #16 | Lorenzo Tosto FC Empoli | 20 | 6 | €1.2M | €2.1M | +44% |
| #17 | Eddy Kouadio ACF Fiorentina | 20 | 6 | €2.5M | €4.5M | +44% |
| #18 | Karlson Nwanege Hellas Verona | 21 | 5 | €150K | €249K | +40% |
| #19 | Filipe Bordon Società Sportiva Lazio S.p.A. | 21 | 5 | €800K | €1.3M | +40% |
| #20 | Tiago Gabriel US Lecce | 21 | 5 | €15.0M | €24.9M | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Udinese Calcio's Matteo Palma has the highest Risk-Adjusted Upside at 61.2. That means Matteo Palma has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Inter Milan's Gabriele Re Cecconi with a 40.4 RAU (10% upside, 0% uncertainty). Third is Dawid Bembnista of FC Empoli with a 40.4 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 61.2 means the upside is 61.2× 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 | Matteo Palma Udinese Calcio | €5.8M | €5.1M-6.5M | +16% | 61.2 |
| #2 | Gabriele Re Cecconi Inter Milan | €772K | €683K-861K | +10% | 40.4 |
| #3 | Dawid Bembnista FC Empoli | €193K | €171K-215K | +10% | 40.4 |
| #4 | Eman Košpo ACF Fiorentina | €1.7M | €1.5M-1.8M | +10% | 40.4 |
| #5 | Tobias Slotsager Hellas Verona | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #6 | Branimir Mlacic Udinese Calcio | €5.5M | €4.9M-6.1M | +10% | 40.4 |
| #7 | David Odogu AC Milan | €5.5M | €4.9M-6.1M | +10% | 40.4 |
| #8 | Eddy Kouadio ACF Fiorentina | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #9 | Javier Gil Juventus FC | €1.1M | €976K-1.2M | +10% | 40.4 |
| #10 | Luigi D'Avino SSC Napoli | €138K | €122K-154K | +10% | 40.4 |
| #11 | Matteo Duțu AC Milan | €331K | €293K-369K | +10% | 40.4 |
| #12 | Samuel John Nwachukwu Udinese Calcio | €165K | €146K-184K | +10% | 40.4 |
| #13 | Lorenzo Tosto FC Empoli | €1.3M | €1.2M-1.5M | +10% | 40.4 |
| #14 | Fellipe Jack Como 1907 | €2.0M | €1.8M-2.2M | +10% | 40.4 |
| #15 | Relja Obric Atalanta BC | €882K | €781K-983K | +10% | 40.4 |
| #16 | Andrea Cogoni Cagliari Calcio | €441K | €390K-492K | +10% | 40.4 |
| #17 | Honest Ahanor Atalanta BC | €32.1M | €28.4M-35.8M | +7% | 28.7 |
| #18 | Strahinja Pavlović AC Milan | €41.1M | €37.0M-45.2M | +3% | 13.2 |
| #19 | Yann Bisseck Inter Milan | €51.4M | €46.2M-56.5M | +3% | 13.2 |
| #20 | Pierre Kalulu Juventus FC | €32.9M | €29.6M-36.2M | +3% | 13.2 |
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 weak 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)
Cagliari Calcio's Fabio Pisacane in the 30+ age bracket has the highest Age-Share Concentration at +-30.6%. That means Raphaël Varane captures 13.1% of total market value while representing only 43.7% of players in their age group-showing dominant elite status.
In second is Cagliari Calcio's Luca Ceppitelli with a +-30.6% ASC (13.1% value share vs 43.7% player share in 30+ bracket). Third is Konstantinos Manolas of US Salernitana 1919 with a +-30.6% ASC (13.1% value vs 43.7% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-30.6% ASC means the player captures -30.6% 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 | Fabio Pisacane Cagliari Calcio | 30+ | 13.1% | 43.7% | -30.6% |
| #2 | Luca Ceppitelli Cagliari Calcio | 30+ | 13.1% | 43.7% | -30.6% |
| #3 | Konstantinos Manolas US Salernitana 1919 | 30+ | 13.1% | 43.7% | -30.6% |
| #4 | Neuton Udinese Calcio | 30+ | 13.1% | 43.7% | -30.6% |
| #5 | Aljaz Struna Palermo FC | 30+ | 13.1% | 43.7% | -30.6% |
| #6 | Nicolò Brighenti Frosinone Calcio | 30+ | 13.1% | 43.7% | -30.6% |
| #7 | Lucas Orbán Genoa CFC | 30+ | 13.1% | 43.7% | -30.6% |
| #8 | Stefan de Vrij Inter Milan | 30+ | 13.1% | 43.7% | -30.6% |
| #9 | Lorenzo Tonelli FC Empoli | 30+ | 13.1% | 43.7% | -30.6% |
| #10 | Giancarlo González Bologna Football Club 1909 | 30+ | 13.1% | 43.7% | -30.6% |
| #11 | Alessandro Bassoli Chievo Verona | 30+ | 13.1% | 43.7% | -30.6% |
| #12 | Roger Carvalho Bologna Football Club 1909 | 30+ | 13.1% | 43.7% | -30.6% |
| #13 | Matteo Bachini FC Empoli | 30+ | 13.1% | 43.7% | -30.6% |
| #14 | Leonardo Blanchard Frosinone Calcio | 30+ | 13.1% | 43.7% | -30.6% |
| #15 | Juan Jesus SSC Napoli | 30+ | 13.1% | 43.7% | -30.6% |
| #16 | Biagio Meccariello US Lecce | 30+ | 13.1% | 43.7% | -30.6% |
| #17 | Luca Marrone AC Monza | 30+ | 13.1% | 43.7% | -30.6% |
| #18 | Adama Soumaoro Bologna Football Club 1909 | 30+ | 13.1% | 43.7% | -30.6% |
| #19 | Patric Società Sportiva Lazio S.p.A. | 30+ | 13.1% | 43.7% | -30.6% |
| #20 | Luca Crescenzi Società Sportiva Lazio S.p.A. | 30+ | 13.1% | 43.7% | -30.6% |
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, 16 standard acquisitions, 56 watch-list prospects, 110 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
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 €250K. 0 undervalued, 48 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Tiago Gabriel US Lecce | €15.0M | €500K | -1.50 | Good Value |
Diego Carlos Como 1907 | €5.0M | €500K | -1.33 | Good Value |
Odilon Kossounou Atalanta BC | €15.0M | €500K | -1.33 | Good Value |
Gianluca Mancini Associazione Sportiva Roma | €15.0M | €500K | -1.00 | Good Value |
Matteo Gabbia AC Milan | €17.0M | €500K | -1.00 | Good Value |
Alessandro Buongiorno SSC Napoli | €30.0M | €500K | -1.00 | Good Value |
Oliver Provstgaard Società Sportiva Lazio S.p.A. | €16.0M | €500K | -1.00 | Good Value |
Jacobo Ramón Como 1907 | €30.0M | €500K | -1.00 | Good Value |
Nicolò Bertola Udinese Calcio | €7.0M | €500K | -0.75 | Good Value |
Luca Marianucci SSC Napoli | €7.0M | €500K | -0.75 | Good Value |
Alessio Romagnoli Società Sportiva Lazio S.p.A. | €6.0M | €500K | -0.67 | Good Value |
Luigi D'Avino SSC Napoli | €125K | €500K | -0.56 | Good Value |
Samuel John Nwachukwu Udinese Calcio | €150K | €500K | -0.54 | Good Value |
Dawid Bembnista FC Empoli | €175K | €500K | -0.52 | Good Value |
Eivind Helland Bologna Football Club 1909 | €8.0M | €500K | -0.50 | Fair Value |
Matteo Duțu AC Milan | €300K | €500K | -0.42 | Fair Value |
Mattia Motolese Bologna Football Club 1909 | €125K | €500K | -0.39 | Fair Value |
Karlson Nwanege Hellas Verona | €150K | €500K | -0.36 | Fair Value |
Christian Biagetti ACF Fiorentina | €150K | €500K | -0.36 | Fair Value |
Seb Loeffen US Sassuolo | €150K | €500K | -0.36 | Fair Value |
Market Overview: Serie A Centre-Backs 2024-25
Our database tracked 355 Serie A Centre-Backs in the 2024-25 season, representing 37 clubs with a combined market value of €1.3B. The average market value for Serie A Centre-Backs was €3.6M, with the average age at 29 years old.
The most valuable centre-back in the Serie A was Alessandro Bastoni, worth €65.0M and played for Inter Milan at 27 years old. The top 5 Centre-Backs averaged €45.6M in market value, including Yann Bisseck and Strahinja Pavlović.
Age distribution showed the youngest tracked centre-back was Honest Ahanor (18 years, Atalanta BC, €30.0M), while the oldest was Raúl Albiol (40 years, Pisa Sporting Club, €700K). Research shows Centre-Backs typically peak at age 28.
Historical analysis showed 91 Centre-Backs (26%) 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 2024-25 season.
How We Rank Serie A Centre-Backs
Our Analytical Strength Index is calibrated specifically for centre-backs, 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 CB
Historical Achievement Index (35%)
Peak career market value for Serie A centre-backs, 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 centre-backs, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Defenders with 2,500+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Defenders peak at 28 with 5.0%/year decline rate. 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.
CB Performance Benchmarks
Peak Age: 28 years (balance of physicality and tactical intelligence)
Decline Rate: Widening steps, not a flat rate: about -5% at 29, -10% at 30, steeper from 31 (positioning offsets pace loss)
Optimal Minutes: 2,500 per season (regular starter with rotation management)
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 28: +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: ±10% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for centre-backs
• 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 Centre-Backs in the 2024-25 season
Who are the most valuable Centre-Backs in the Serie A in 2024-25?
The most valuable centre-back in the Serie A in 2024-25 is Alessandro Bastoni, who is worth €65.0M and plays for Inter Milan. The second most valuable is Yann Bisseck (€50.0M, Inter Milan), followed by Strahinja Pavlović (€40.0M, AC Milan). Our database tracks 355 Serie A Centre-Backs with comprehensive market valuations updated for the 2024-25 season.
How are Serie A Centre-Backs ranked?
Serie A Centre-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Centre-Backs. 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 Centre-Backs peak?
Defenders typically peak at age 28. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 29, -10% at 30, and -25% or more from 31. Research shows defenders balance physical attributes with tactical intelligence, allowing them to maintain high performance through their late 20s. The optimal playing time for peak performance is around 2,500 minutes per season.
How much does it cost to sign a top centre-back from the Serie A?
Transfer fees for Serie A Centre-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked centre-back Alessandro Bastoni (market value: €65.0M), estimated transfer fees would range from €52.0M to €91.0M 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 Centre-Backs?
Our 1-year forecast model projects market value changes for Serie A Centre-Backs 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-defenders have ±10% 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 centre-back data come from?
Our Serie A centre-back 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 for the 2024-25 season to ensure accuracy for recruitment and investment decisions.