Best Centre-Backs in the World (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: World Centre-Backs 2025-26
Our database tracks 999 World Centre-Backs in the 2025-26 season, representing 509 clubs with a combined market value of €3.6B. The average market value for World Centre-Backs is €3.6M, with the average age at 29 years old.
The most valuable centre-back in the World is William Saliba, worth €90.0M and playing for Arsenal FC at 25 years old. The top 5 Centre-Backs average €76.0M in market value, including Gabriel and Alessandro Bastoni.
Age distribution shows the youngest tracked centre-back is Pau Cubarsí (19 years, FC Barcelona, €30.0M), while the oldest is Andrea Masiello (40 years, Genoa CFC, €400K). Research shows Centre-Backs typically peak at age 27.
Our 1-year forecast model projects 307 Centre-Backs (31%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The World market for Centre-Backs remains highly competitive with significant transfer activity expected in the 2025-26 season.
Explore Market Size by Position in World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Centre-Backs. Identify undervalued assets and track market momentum across 509 clubs with €3.6B 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: World Centre-Backs
The World CB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (471 players, 47% of market). The 27-29 age group holds the most value at €1.3B, averaging €5.7M per player.
Top Centre-Backs by Age Bracket
U21 Years (19 players)
21-23 Years (96 players)
24-26 Years (183 players)
27-29 Years (230 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Centre-Backs (10% of players) control €2.5B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the World CB pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Centre-Backs
Among 509 World clubs, Arsenal FC leads with 2 Centre-Backs worth €165.0M (averaging €82.5M per player). The top 10 clubs account for 4% of tracked Centre-Backs.
Arsenal FC (2 Centre-Backs)
Manchester City (5 Centre-Backs)
Manchester United (6 Centre-Backs)
FC Barcelona (3 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.
William Saliba
Arsenal FC • 25 years old
€77.8M
€90.0M
+15.6%
Expected: €95.9M
95.5
Gabriel
Arsenal FC • 28 years old
€79.3M
€75.0M
-5.4%
Expected: €69.0M
94.9
Alessandro Bastoni
Inter Milan • 27 years old
€69.2M
€80.0M
+15.6%
Expected: €85.7M
93.9
Ronald Araujo
FC Barcelona • 27 years old
€60.5M
€70.0M
+15.6%
Expected: €75.0M
89.9
Matthijs de Ligt
Manchester United • 26 years old
€56.2M
€65.0M
+15.6%
Expected: €66.1M
89.1
Rúben Dias
Manchester City • 29 years old
€77.5M
€60.0M
-22.6%
Expected: €55.2M
88.8
Leny Yoro
Manchester United • 20 years old
€47.6M
€55.0M
+15.6%
Expected: €68.2M
86.6
Éder Militão
Real Madrid • 28 years old
€63.4M
€60.0M
-5.4%
Expected: €55.2M
85.5
Micky van de Ven
Tottenham Hotspur • 25 years old
€47.6M
€55.0M
+15.6%
Expected: €58.6M
81.8
Marc Guéhi
Manchester City • 26 years old
€47.6M
€55.0M
+15.6%
Expected: €56.0M
80.0
Ousmane Diomande
Sporting CP • 22 years old
€38.9M
€45.0M
+15.6%
Expected: €51.6M
75.6
Gonçalo Inácio
Sporting CP • 24 years old
€38.9M
€45.0M
+15.6%
Expected: €50.1M
73.7
Andreas Christensen
FC Barcelona • 30 years old
€51.7M
€40.0M
-22.6%
Expected: €34.9M
71.3
Ibrahima Konaté
Liverpool FC • 27 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
69.6
Alessandro Buongiorno
SSC Napoli • 27 years old
€38.9M
€45.0M
+15.6%
Expected: €48.2M
69.5
Abdukodir Khusanov
Manchester City • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €40.2M
65.5
Bremer
Juventus FC • 29 years old
€45.2M
€35.0M
-22.6%
Expected: €32.2M
63.8
Ezri Konsa
Aston Villa • 28 years old
€37.0M
€35.0M
-5.4%
Expected: €32.2M
62.2
Maxence Lacroix
Crystal Palace • 26 years old
€30.3M
€35.0M
+15.6%
Expected: €35.6M
61.9
Marquinhos
Paris Saint-Germain • 32 years old
€38.7M
€30.0M
-22.6%
Expected: €25.1M
61.2
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)
Arsenal FC's William Saliba at 25 years old has the highest Pre-Peak Value Efficiency at 112.50×. That means William Saliba is valued 112.50× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Tottenham Hotspur's Micky van de Ven, who is 25 years old, with a 68.75× PPVE. Third is Gonçalo Inácio of Sporting CP, who is 24 years old with a 56.25× 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 112.50× means the player is worth 11150% 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 | William Saliba Arsenal FC | 25 | 24-26 | €90.0M | €800K | 112.50× |
| #2 | Micky van de Ven Tottenham Hotspur | 25 | 24-26 | €55.0M | €800K | 68.75× |
| #3 | Gonçalo Inácio Sporting CP | 24 | 24-26 | €45.0M | €800K | 56.25× |
| #4 | Ousmane Diomande Sporting CP | 22 | 21-23 | €45.0M | €800K | 56.25× |
| #5 | Leny Yoro Manchester United | 20 | U21 | €55.0M | €1.0M | 55.00× |
| #6 | Abdukodir Khusanov Manchester City | 22 | 21-23 | €35.0M | €800K | 43.75× |
| #7 | António Silva SL Benfica | 22 | 21-23 | €30.0M | €800K | 37.50× |
| #8 | Wesley Fofana Chelsea FC | 25 | 24-26 | €28.0M | €800K | 35.00× |
| #9 | Tomás Araújo SL Benfica | 24 | 24-26 | €28.0M | €800K | 35.00× |
| #10 | Strahinja Pavlović AC Milan | 25 | 24-26 | €28.0M | €800K | 35.00× |
| #11 | Malick Thiaw Newcastle United | 24 | 24-26 | €25.0M | €800K | 31.25× |
| #12 | Konstantinos Koulierakis VfL Wolfsburg | 22 | 21-23 | €25.0M | €800K | 31.25× |
| #13 | Pau Cubarsí FC Barcelona | 19 | U21 | €30.0M | €1.0M | 30.00× |
| #14 | Odilon Kossounou Atalanta BC | 25 | 24-26 | €22.0M | €800K | 27.50× |
| #15 | Mamadou Sarr Chelsea FC | 20 | U21 | €25.0M | €1.0M | 25.00× |
| #16 | Ryan Flamingo PSV Eindhoven | 23 | 21-23 | €17.0M | €800K | 21.25× |
| #17 | Youri Baas Ajax Amsterdam | 23 | 21-23 | €16.0M | €800K | 20.00× |
| #18 | Yarek Gasiorowski PSV Eindhoven | 21 | 21-23 | €16.0M | €800K | 20.00× |
| #19 | Christian Mawissa AS Monaco | 21 | 21-23 | €15.0M | €800K | 18.75× |
| #20 | Javi Rodríguez Celta de Vigo | 23 | 21-23 | €15.0M | €800K | 18.75× |
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)
FC Barcelona's Pau Cubarsí at 19 years old has the highest Return-to-Peak Potential at +44%. That means Pau Cubarsí is projected to appreciate 44% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Southampton FC's Joachim Kayi Sanda, who is 19 years old, with a +44% RPP (7 years to peak). Third is Michał Synoś of Stal Rzeszow, who is 19 years old with a +40% 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 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 | Pau Cubarsí FC Barcelona | 19 | 7 | €30.0M | €53.6M | +44% |
| #2 | Joachim Kayi Sanda Southampton FC | 19 | 7 | €1.2M | €2.1M | +44% |
| #3 | Michał Synoś Stal Rzeszow | 19 | 7 | €700K | €1.2M | +40% |
| #4 | Georgios Katris APO Levadiakos Football Club | 20 | 6 | €400K | €665K | +40% |
| #5 | Taylan Aydın Kasimpasa | 20 | 6 | €300K | €499K | +40% |
| #6 | Yusuf Akçiçek Al-Hilal Saudi Football Club | 20 | 6 | €16.0M | €26.6M | +40% |
| #7 | Andreas Verstraeten Royal Antwerp FC | 20 | 6 | €800K | €1.3M | +40% |
| #8 | Benjamin Arthur Brentford FC | 20 | 6 | €250K | €415K | +40% |
| #9 | Vince Osuji Club Brugge KV | 20 | 6 | €1.0M | €1.7M | +40% |
| #10 | Wisdom Amey Bologna Football Club 1909 | 20 | 6 | €700K | €1.2M | +40% |
| #11 | Nidal Celik RC Lens | 20 | 6 | €1.0M | €1.7M | +40% |
| #12 | Max Alleyne Manchester City | 20 | 6 | €800K | €1.3M | +40% |
| #13 | Mamadou Sarr Chelsea FC | 20 | 6 | €25.0M | €41.5M | +40% |
| #14 | Leny Yoro Manchester United | 20 | 6 | €55.0M | €91.4M | +40% |
| #15 | Bastien Meupiyou FC Alverca | 20 | 6 | €4.0M | €6.6M | +40% |
| #16 | Jon Martín Real Sociedad | 20 | 6 | €10.0M | €16.6M | +40% |
| #17 | Yasin Özcan RSC Anderlecht | 20 | 6 | €5.0M | €8.3M | +40% |
| #18 | Efe Sarikaya Altay SK | 20 | 6 | €550K | €914K | +40% |
| #19 | Aarón Anselmino Borussia Dortmund | 21 | 5 | €12.0M | €18.5M | +35% |
| #20 | Emmanuel Kakou Cercle Brugge | 21 | 5 | €1.5M | €2.3M | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Manchester United's Leny Yoro has the highest Risk-Adjusted Upside at 84.0. That means Leny Yoro has 24% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Southampton FC's Joachim Kayi Sanda with a 82.7 RAU (23% upside, 0% uncertainty). Third is Pau Cubarsí of FC Barcelona with a 82.7 RAU (23% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 84.0 means the upside is 84.0× 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 | Leny Yoro Manchester United | €68.2M | €60.3M-76.0M | +24% | 84.0 |
| #2 | Joachim Kayi Sanda Southampton FC | €1.5M | €1.3M-1.7M | +23% | 82.7 |
| #3 | Pau Cubarsí FC Barcelona | €37.0M | €32.8M-41.3M | +23% | 82.7 |
| #4 | Wisdom Amey Bologna Football Club 1909 | €833K | €738K-929K | +19% | 69.6 |
| #5 | Yusuf Akçiçek Al-Hilal Saudi Football Club | €19.1M | €16.9M-21.2M | +19% | 69.6 |
| #6 | Benjamin Arthur Brentford FC | €298K | €263K-332K | +19% | 69.6 |
| #7 | Vince Osuji Club Brugge KV | €1.2M | €1.1M-1.3M | +19% | 69.6 |
| #8 | Nidal Celik RC Lens | €1.2M | €1.1M-1.3M | +19% | 69.6 |
| #9 | Bastien Meupiyou FC Alverca | €4.8M | €4.2M-5.3M | +19% | 69.6 |
| #10 | Taylan Aydın Kasimpasa | €357K | €316K-398K | +19% | 69.6 |
| #11 | Efe Sarikaya Altay SK | €655K | €580K-730K | +19% | 69.6 |
| #12 | Mamadou Sarr Chelsea FC | €29.8M | €26.3M-33.2M | +19% | 69.6 |
| #13 | Jon Martín Real Sociedad | €11.9M | €10.5M-13.3M | +19% | 69.6 |
| #14 | Yasin Özcan RSC Anderlecht | €6.0M | €5.3M-6.6M | +19% | 69.6 |
| #15 | Georgios Katris APO Levadiakos Football Club | €476K | €422K-531K | +19% | 69.6 |
| #16 | Andreas Verstraeten Royal Antwerp FC | €953K | €843K-1.1M | +19% | 69.6 |
| #17 | Max Alleyne Manchester City | €953K | €843K-1.1M | +19% | 69.6 |
| #18 | Abdukodir Khusanov Manchester City | €40.2M | €36.1M-44.2M | +15% | 64.3 |
| #19 | Ousmane Diomande Sporting CP | €51.6M | €46.5M-56.8M | +15% | 64.3 |
| #20 | Michał Synoś Stal Rzeszow | €833K | €718K-949K | +19% | 58.0 |
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)
Hammarby IF's Mads Fenger in the 30+ age bracket has the highest Age-Share Concentration at +-25.8%. That means Andreas Christensen captures 21.4% of total market value while representing only 47.1% of players in their age group-showing dominant elite status.
In second is RCD Espanyol Barcelona's Leandro Cabrera with a +-25.8% ASC (21.4% value share vs 47.1% player share in 30+ bracket). Third is Bjørn Paulsen of Odense Boldklub with a +-25.8% ASC (21.4% value vs 47.1% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-25.8% ASC means the player captures -25.8% 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 | Mads Fenger Hammarby IF | 30+ | 21.4% | 47.1% | -25.8% |
| #2 | Leandro Cabrera RCD Espanyol Barcelona | 30+ | 21.4% | 47.1% | -25.8% |
| #3 | Bjørn Paulsen Odense Boldklub | 30+ | 21.4% | 47.1% | -25.8% |
| #4 | Johan Martial Panetolikos Agrinio | 30+ | 21.4% | 47.1% | -25.8% |
| #5 | Abdoulaye Ba Moreirense FC | 30+ | 21.4% | 47.1% | -25.8% |
| #6 | Stefan Savic Trabzonspor | 30+ | 21.4% | 47.1% | -25.8% |
| #7 | Dominique Heintz 1.FC Köln | 30+ | 21.4% | 47.1% | -25.8% |
| #8 | Dino Arslanagic Macarthur FC | 30+ | 21.4% | 47.1% | -25.8% |
| #9 | Florian Ballas Hannover 96 | 30+ | 21.4% | 47.1% | -25.8% |
| #10 | Mathieu Peybernes KAS Eupen | 30+ | 21.4% | 47.1% | -25.8% |
| #11 | Ramiro Funes Mori Club Estudiantes de La Plata | 30+ | 21.4% | 47.1% | -25.8% |
| #12 | Jakub Brabec Rio Ave FC | 30+ | 21.4% | 47.1% | -25.8% |
| #13 | Manoel Fluminense Football Club | 30+ | 21.4% | 47.1% | -25.8% |
| #14 | Ivan Ordets VfL Bochum | 30+ | 21.4% | 47.1% | -25.8% |
| #15 | Loris Benito BSC Young Boys | 30+ | 21.4% | 47.1% | -25.8% |
| #16 | Ross Draper Ross County FC | 30+ | 21.4% | 47.1% | -25.8% |
| #17 | Leonardo Blanchard Frosinone Calcio | 30+ | 21.4% | 47.1% | -25.8% |
| #18 | Joe Shaughnessy Newcastle United Jets | 30+ | 21.4% | 47.1% | -25.8% |
| #19 | John Egan Hull City | 30+ | 21.4% | 47.1% | -25.8% |
| #20 | Anthony O'Connor Aberdeen FC | 30+ | 21.4% | 47.1% | -25.8% |
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: 18 immediate targets, 137 standard acquisitions, 0 watch-list prospects, 299 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 €500K. 1 undervalued, 142 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Eduardo Quaresma Sporting CP | €15.0M | €650K | -1.67 | Undervalued |
Pau Navarro Villarreal CF | €5.0M | €650K | -1.50 | Good Value |
Fedde Leysen Union Saint-Gilloise | €5.0M | €650K | -1.50 | Good Value |
Pascal Struijk Leeds United | €18.0M | €650K | -1.17 | Good Value |
Yasin Özcan RSC Anderlecht | €5.0M | €650K | -1.00 | Good Value |
Yusuf Akçiçek Al-Hilal Saudi Football Club | €16.0M | €650K | -1.00 | Good Value |
Iñigo Martínez Al-Nassr Football Club | €5.0M | €650K | -1.00 | Good Value |
Niklas Süle Borussia Dortmund | €5.0M | €650K | -1.00 | Good Value |
Srdjan Babic Spartak Moscow | €5.0M | €650K | -1.00 | Good Value |
Nasser Djiga Rangers FC | €6.0M | €650K | -1.00 | Good Value |
Benjamin Arthur Brentford FC | €250K | €650K | -0.82 | Good Value |
Taylan Aydın Kasimpasa | €300K | €650K | -0.73 | Good Value |
Matthias Ginter SC Freiburg | €6.0M | €650K | -0.67 | Good Value |
Rúben Dias Manchester City | €60.0M | €650K | -0.67 | Good Value |
Carl Starfelt Celta de Vigo | €6.0M | €650K | -0.67 | Good Value |
Éder Militão Real Madrid | €60.0M | €650K | -0.67 | Good Value |
Igor Julio West Ham United | €15.0M | €650K | -0.60 | Good Value |
Axel Disasi West Ham United | €15.0M | €650K | -0.60 | Good Value |
Dara O'Shea Ipswich Town | €15.0M | €650K | -0.60 | Good Value |
Konstantinos Mavropanos West Ham United | €15.0M | €650K | -0.60 | Good Value |
How We Rank World 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 World 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 World 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%)
World competition level factored into comparative strength assessment.
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 World Centre-Backs in the 2025-26 season
Who are the most valuable Centre-Backs in the World in 2025-26?
The most valuable centre-back in the World in 2025-26 is William Saliba, who is worth €90.0M and plays for Arsenal FC. The second most valuable is Gabriel (€75.0M, Arsenal FC), followed by Alessandro Bastoni (€80.0M, Inter Milan). Our database tracks 999 World Centre-Backs with comprehensive market valuations updated for the 2025-26 season.
How are World Centre-Backs ranked?
World 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 World 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 World?
Transfer fees for World Centre-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked centre-back William Saliba (market value: €90.0M), estimated transfer fees would range from €72.0M to €126.0M 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 World transactions.
What is the value forecast for World Centre-Backs?
Our 1-year forecast model projects market value changes for World 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 World centre-back data come from?
Our World 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 World sources and updated monthly for the 2025-26 season to ensure accuracy for recruitment and investment decisions.