Best Centre-Backs in the Serie A (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: Serie A Centre-Backs 2025-26
Our database tracks 336 Serie A Centre-Backs in the 2025-26 season, representing 37 clubs with a combined market value of €1.1B. The average market value for Serie A Centre-Backs is €3.2M, with the average age at 29 years old.
The most valuable centre-back in the Serie A is Alessandro Bastoni, worth €80.0M and playing for Inter Milan at 27 years old. The top 5 Centre-Backs average €49.0M in market value, including Giorgio Scalvini and Alessandro Buongiorno.
Age distribution shows the youngest tracked centre-back is Matteo Palma (18 years, Udinese Calcio, €5.0M), while the oldest is Raúl Albiol (40 years, Pisa Sporting Club, €800K). Research shows Centre-Backs typically peak at age 27.
Our 1-year forecast model projects 124 Centre-Backs (37%) 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 Centre-Backs remains highly competitive with significant transfer activity expected in the 2025-26 season.
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 €1.1B combined value.
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.
Age Distribution: Serie A Centre-Backs
The Serie A CB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (154 players, 46% of market). The 27-29 age group holds the most value at €429.2M, averaging €6.5M per player.
Top Centre-Backs by Age Bracket
U21 Years (16 players)
21-23 Years (44 players)
24-26 Years (56 players)
27-29 Years (66 players)
Market Value Distribution
Elite Tier Concentration
The top 34 Centre-Backs (10% of players) control €761.5M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 0% 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 €127.6M (averaging €7.5M per player). The top 10 clubs account for 39% of tracked Centre-Backs.
Inter Milan (17 Centre-Backs)
Atalanta BC (15 Centre-Backs)
Juventus FC (14 Centre-Backs)
AC Milan (12 Centre-Backs)
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
€69.2M
€80.0M
+15.6%
Expected: €85.7M
93.8
Giorgio Scalvini
Atalanta BC • 22 years old
€38.9M
€45.0M
+15.6%
Expected: €51.6M
87.9
Alessandro Buongiorno
SSC Napoli • 27 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
87.3
Fikayo Tomori
AC Milan • 28 years old
€42.3M
€40.0M
-5.4%
Expected: €36.8M
86.1
Yann Bisseck
Inter Milan • 25 years old
€30.3M
€35.0M
+15.6%
Expected: €37.3M
85.1
Bremer
Juventus FC • 29 years old
€45.2M
€35.0M
-22.6%
Expected: €32.2M
84.6
Mario Gila
Società Sportiva Lazio S.p.A. • 25 years old
€25.9M
€30.0M
+15.6%
Expected: €30.7M
79.6
Evan Ndicka
Associazione Sportiva Roma • 26 years old
€25.9M
€30.0M
+15.6%
Expected: €29.3M
79.1
Strahinja Pavlović
AC Milan • 25 years old
€24.2M
€28.0M
+15.6%
Expected: €28.7M
78.7
Pierre Kalulu
Juventus FC • 26 years old
€24.2M
€28.0M
+15.6%
Expected: €27.4M
78.2
Sam Beukema
SSC Napoli • 27 years old
€24.2M
€28.0M
+15.6%
Expected: €28.8M
77.7
Perr Schuurs
Torino FC • 26 years old
€21.6M
€25.0M
+15.6%
Expected: €24.4M
76.8
Isak Hien
Atalanta BC • 27 years old
€21.6M
€25.0M
+15.6%
Expected: €25.7M
76.3
Odilon Kossounou
Atalanta BC • 25 years old
€19.0M
€22.0M
+15.6%
Expected: €22.5M
75.6
Pietro Comuzzo
ACF Fiorentina • 21 years old
€19.9M
€23.0M
+15.6%
Expected: €26.4M
75.4
Raphaël Varane
Como 1907 • 33 years old
€25.8M
€20.0M
-22.6%
Expected: €17.7M
74.9
Federico Gatti
Juventus FC • 28 years old
€21.1M
€20.0M
-5.4%
Expected: €17.7M
73.7
Lloyd Kelly
Juventus FC • 27 years old
€17.3M
€20.0M
+15.6%
Expected: €20.6M
73.5
Oumar Solet
Udinese Calcio • 26 years old
€14.7M
€17.0M
+15.6%
Expected: €16.6M
71.9
Jhon Lucumí
Bologna Football Club 1909 • 28 years old
€18.0M
€17.0M
-5.4%
Expected: €15.0M
71.6
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 128.57×. That means Giorgio Scalvini is valued 128.57× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is ACF Fiorentina's Pietro Comuzzo, who is 21 years old, with a 65.71× PPVE. Third is Tiago Gabriel of US Lecce, who is 21 years old with a 42.86× 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 128.57× means the player is worth 12757% 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 | €45.0M | €350K | 128.57× |
| #2 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €23.0M | €350K | 65.71× |
| #3 | Tiago Gabriel US Lecce | 21 | 21-23 | €15.0M | €350K | 42.86× |
| #4 | Yann Bisseck Inter Milan | 25 | 24-26 | €35.0M | €850K | 41.18× |
| #5 | Mario Gila Società Sportiva Lazio S.p.A. | 25 | 24-26 | €30.0M | €850K | 35.29× |
| #6 | Strahinja Pavlović AC Milan | 25 | 24-26 | €28.0M | €850K | 32.94× |
| #7 | Odilon Kossounou Atalanta BC | 25 | 24-26 | €22.0M | €850K | 25.88× |
| #8 | Daniele Ghilardi Associazione Sportiva Roma | 23 | 21-23 | €8.0M | €350K | 22.86× |
| #9 | Koni De Winter AC Milan | 24 | 24-26 | €12.0M | €850K | 14.12× |
| #10 | Filippo Terracciano US Cremonese | 23 | 21-23 | €4.5M | €350K | 12.86× |
| #11 | Oliver Provstgaard Società Sportiva Lazio S.p.A. | 23 | 21-23 | €4.5M | €350K | 12.86× |
| #12 | Saba Goglichidze Udinese Calcio | 22 | 21-23 | €4.5M | €350K | 12.86× |
| #13 | Armel Bella-Kotchap Hellas Verona | 24 | 24-26 | €7.5M | €850K | 8.82× |
| #14 | Alessandro Marcandalli Genoa CFC | 23 | 21-23 | €2.5M | €350K | 7.14× |
| #15 | Sebastian Otoa Genoa CFC | 22 | 21-23 | €2.5M | €350K | 7.14× |
| #16 | Matteo Palma Udinese Calcio | 18 | U21 | €5.0M | €800K | 6.25× |
| #17 | David Odogu AC Milan | 20 | U21 | €5.0M | €800K | 6.25× |
| #18 | Mattia Viti ACF Fiorentina | 24 | 24-26 | €5.0M | €850K | 5.88× |
| #19 | Nicolás Valentini Hellas Verona | 25 | 24-26 | €5.0M | €850K | 5.88× |
| #20 | Thomas Kristensen Udinese Calcio | 24 | 24-26 | €4.5M | €850K | 5.29× |
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 +48%. That means Matteo Palma is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is FC Empoli's Dawid Bembnista, who is 19 years old, with a +44% RPP (7 years to peak). Third is Gabriele Re Cecconi of Inter Milan, who is 20 years old with a +40% 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 48% RPP means the player is expected to gain 48% 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 | €9.6M | +48% |
| #2 | Dawid Bembnista FC Empoli | 19 | 7 | €175K | €313K | +44% |
| #3 | Gabriele Re Cecconi Inter Milan | 20 | 6 | €700K | €1.2M | +40% |
| #4 | Javier Gil Juventus FC | 20 | 6 | €1.0M | €1.7M | +40% |
| #5 | Wisdom Amey Bologna Football Club 1909 | 20 | 6 | €700K | €1.2M | +40% |
| #6 | Tobias Slotsager Hellas Verona | 20 | 6 | €2.0M | €3.3M | +40% |
| #7 | Matteo Duțu AC Milan | 20 | 6 | €200K | €332K | +40% |
| #8 | Luigi D'Avino SSC Napoli | 20 | 6 | €125K | €208K | +40% |
| #9 | Samuel John Nwachukwu Udinese Calcio | 20 | 6 | €150K | €249K | +40% |
| #10 | Leonardo Baroncelli ACF Fiorentina | 20 | 6 | €200K | €332K | +40% |
| #11 | Relja Obric Atalanta BC | 20 | 6 | €800K | €1.3M | +40% |
| #12 | Lorenzo Tosto FC Empoli | 20 | 6 | €1.2M | €2.0M | +40% |
| #13 | Andrea Cogoni Cagliari Calcio | 20 | 6 | €400K | €665K | +40% |
| #14 | Fellipe Jack Como 1907 | 20 | 6 | €1.8M | €3.0M | +40% |
| #15 | David Odogu AC Milan | 20 | 6 | €5.0M | €8.3M | +40% |
| #16 | Eddy Kouadio ACF Fiorentina | 20 | 6 | €2.5M | €4.2M | +40% |
| #17 | Luca Marianucci SSC Napoli | 21 | 5 | €175K | €270K | +35% |
| #18 | Christian Corradi Hellas Verona | 21 | 5 | €700K | €1.1M | +35% |
| #19 | Tiago Gabriel US Lecce | 21 | 5 | €15.0M | €23.2M | +35% |
| #20 | Pietro Comuzzo ACF Fiorentina | 21 | 5 | €23.0M | €35.5M | +35% |
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 94.8. That means Matteo Palma has 28% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FC Empoli's Dawid Bembnista with a 82.7 RAU (23% upside, 0% uncertainty). Third is Gabriele Re Cecconi of Inter Milan with a 69.6 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 94.8 means the upside is 94.8× 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 | €6.4M | €5.7M-7.1M | +28% | 94.8 |
| #2 | Dawid Bembnista FC Empoli | €216K | €191K-241K | +23% | 82.7 |
| #3 | Gabriele Re Cecconi Inter Milan | €833K | €738K-929K | +19% | 69.6 |
| #4 | Wisdom Amey Bologna Football Club 1909 | €833K | €738K-929K | +19% | 69.6 |
| #5 | Javier Gil Juventus FC | €1.2M | €1.1M-1.3M | +19% | 69.6 |
| #6 | Tobias Slotsager Hellas Verona | €2.4M | €2.1M-2.7M | +19% | 69.6 |
| #7 | Luigi D'Avino SSC Napoli | €149K | €132K-166K | +19% | 69.6 |
| #8 | Fellipe Jack Como 1907 | €2.1M | €1.9M-2.4M | +19% | 69.6 |
| #9 | Samuel John Nwachukwu Udinese Calcio | €179K | €158K-199K | +19% | 69.6 |
| #10 | Lorenzo Tosto FC Empoli | €1.4M | €1.3M-1.6M | +19% | 69.6 |
| #11 | David Odogu AC Milan | €6.0M | €5.3M-6.6M | +19% | 69.6 |
| #12 | Eddy Kouadio ACF Fiorentina | €3.0M | €2.6M-3.3M | +19% | 69.6 |
| #13 | Matteo Duțu AC Milan | €238K | €211K-266K | +19% | 69.6 |
| #14 | Leonardo Baroncelli ACF Fiorentina | €238K | €211K-266K | +19% | 69.6 |
| #15 | Relja Obric Atalanta BC | €953K | €843K-1.1M | +19% | 69.6 |
| #16 | Andrea Cogoni Cagliari Calcio | €476K | €422K-531K | +19% | 69.6 |
| #17 | Giorgio Scalvini Atalanta BC | €51.6M | €46.5M-56.8M | +15% | 64.3 |
| #18 | Tiago Gabriel US Lecce | €17.2M | €15.2M-19.2M | +15% | 55.6 |
| #19 | Filipe Bordon Società Sportiva Lazio S.p.A. | €917K | €812K-1.0M | +15% | 55.6 |
| #20 | Fabio Ruggeri Società Sportiva Lazio S.p.A. | €229K | €203K-256K | +15% | 55.6 |
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 +-27.7%. That means Raphaël Varane captures 18.1% of total market value while representing only 45.8% of players in their age group-showing dominant elite status.
In second is Cagliari Calcio's Luca Ceppitelli with a +-27.7% ASC (18.1% value share vs 45.8% player share in 30+ bracket). Third is Konstantinos Manolas of US Salernitana 1919 with a +-27.7% ASC (18.1% value vs 45.8% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-27.7% ASC means the player captures -27.7% 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+ | 18.1% | 45.8% | -27.7% |
| #2 | Luca Ceppitelli Cagliari Calcio | 30+ | 18.1% | 45.8% | -27.7% |
| #3 | Konstantinos Manolas US Salernitana 1919 | 30+ | 18.1% | 45.8% | -27.7% |
| #4 | Neuton Udinese Calcio | 30+ | 18.1% | 45.8% | -27.7% |
| #5 | Aljaz Struna Palermo FC | 30+ | 18.1% | 45.8% | -27.7% |
| #6 | Nicolò Brighenti Frosinone Calcio | 30+ | 18.1% | 45.8% | -27.7% |
| #7 | Lucas Orbán Genoa CFC | 30+ | 18.1% | 45.8% | -27.7% |
| #8 | Stefan de Vrij Inter Milan | 30+ | 18.1% | 45.8% | -27.7% |
| #9 | Lorenzo Tonelli FC Empoli | 30+ | 18.1% | 45.8% | -27.7% |
| #10 | Giancarlo González Bologna Football Club 1909 | 30+ | 18.1% | 45.8% | -27.7% |
| #11 | Alessandro Bassoli Chievo Verona | 30+ | 18.1% | 45.8% | -27.7% |
| #12 | Roger Carvalho Bologna Football Club 1909 | 30+ | 18.1% | 45.8% | -27.7% |
| #13 | Matteo Bachini FC Empoli | 30+ | 18.1% | 45.8% | -27.7% |
| #14 | Leonardo Blanchard Frosinone Calcio | 30+ | 18.1% | 45.8% | -27.7% |
| #15 | Juan Jesus SSC Napoli | 30+ | 18.1% | 45.8% | -27.7% |
| #16 | Biagio Meccariello US Lecce | 30+ | 18.1% | 45.8% | -27.7% |
| #17 | Luca Marrone AC Monza | 30+ | 18.1% | 45.8% | -27.7% |
| #18 | Adama Soumaoro Bologna Football Club 1909 | 30+ | 18.1% | 45.8% | -27.7% |
| #19 | Patric Società Sportiva Lazio S.p.A. | 30+ | 18.1% | 45.8% | -27.7% |
| #20 | Luca Crescenzi Società Sportiva Lazio S.p.A. | 30+ | 18.1% | 45.8% | -27.7% |
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: 16 immediate targets, 64 standard acquisitions, 0 watch-list prospects, 84 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 €250K. 0 undervalued, 47 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Oumar Solet Udinese Calcio | €17.0M | €400K | -1.33 | Good Value |
Alberto Dossena Cagliari Calcio | €5.0M | €400K | -1.25 | Good Value |
Nicolò Casale Bologna Football Club 1909 | €5.0M | €400K | -1.25 | Good Value |
Tiago Gabriel US Lecce | €15.0M | €400K | -1.00 | Good Value |
Gianluca Mancini Associazione Sportiva Roma | €15.0M | €400K | -1.00 | Good Value |
Alessio Romagnoli Società Sportiva Lazio S.p.A. | €7.0M | €400K | -0.80 | Good Value |
Mario Hermoso Associazione Sportiva Roma | €7.0M | €400K | -0.80 | Good Value |
Ardian Ismajli Torino FC | €6.0M | €400K | -0.75 | Good Value |
Jhon Lucumí Bologna Football Club 1909 | €17.0M | €400K | -0.60 | Good Value |
Davide Astori ACF Fiorentina | €7.5M | €400K | -0.60 | Good Value |
Luigi D'Avino SSC Napoli | €125K | €400K | -0.57 | Good Value |
Samuel John Nwachukwu Udinese Calcio | €150K | €400K | -0.55 | Good Value |
Dawid Bembnista FC Empoli | €175K | €400K | -0.52 | Good Value |
Mattia Viti ACF Fiorentina | €5.0M | €400K | -0.50 | Fair Value |
Bremer Juventus FC | €35.0M | €400K | -0.50 | Fair Value |
Odilon Kossounou Atalanta BC | €22.0M | €400K | -0.50 | Fair Value |
Nicolás Valentini Hellas Verona | €5.0M | €400K | -0.50 | Fair Value |
Matteo Duțu AC Milan | €200K | €400K | -0.50 | Fair Value |
Leonardo Baroncelli ACF Fiorentina | €200K | €400K | -0.50 | Fair Value |
Luca Benedetti US Sassuolo | €125K | €400K | -0.35 | Fair Value |
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 27 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: 27 years (balance of physicality and tactical intelligence)
Decline Rate: 5.0% per year (moderate decline as 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: Defender -5.0%/year post-peak, +5%/year pre-peak
• 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 2025-26 season
Who are the most valuable Centre-Backs in the Serie A in 2025-26?
The most valuable centre-back in the Serie A in 2025-26 is Alessandro Bastoni, who is worth €80.0M and plays for Inter Milan. The second most valuable is Giorgio Scalvini (€45.0M, Atalanta BC), followed by Alessandro Buongiorno (€45.0M, SSC Napoli). Our database tracks 336 Serie A Centre-Backs with comprehensive market valuations updated for the 2025-26 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 27, with a decline rate of 5.0% per year after peak. 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: €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 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 gain ~5% per year toward peak age, post-peak players decline at position-specific rates), 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 2025-26 season to ensure accuracy for recruitment and investment decisions.