Best Centre-Backs in the World (Aug 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.
William Saliba
Arsenal FC • 25 years old
€86.5M
€100.0M
+15.6%
Expected: €99.8M
95.5
Willian Pacho
Paris Saint-Germain • 24 years old
€69.2M
€80.0M
+15.6%
Expected: €75.6M
94.7
Josko Gvardiol
Manchester City • 24 years old
€60.5M
€70.0M
+15.6%
Expected: €68.1M
94.7
Marc Guéhi
Manchester City • 26 years old
€60.5M
€70.0M
+15.6%
Expected: €71.9M
94.5
Dayot Upamecano
Bayern Munich • 27 years old
€60.5M
€70.0M
+15.6%
Expected: €69.2M
92.1
Gabriel
Arsenal FC • 28 years old
€64.9M
€75.0M
+15.6%
Expected: €74.9M
92.0
Pau Cubarsí
FC Barcelona • 19 years old
€69.2M
€80.0M
+15.6%
Expected: €79.3M
90.8
Dean Huijsen
Real Madrid • 21 years old
€51.9M
€60.0M
+15.6%
Expected: €60.6M
89.4
Alessandro Bastoni
Inter Milan • 27 years old
€56.2M
€65.0M
+15.6%
Expected: €64.2M
88.9
Luka Vuskovic
Tottenham Hotspur • 19 years old
€51.9M
€60.0M
+15.6%
Expected: €63.3M
87.7
Jérémy Jacquet
Stade Rennais FC • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €55.5M
87.0
Leny Yoro
Manchester United • 20 years old
€43.2M
€50.0M
+15.6%
Expected: €52.8M
84.1
Abdukodir Khusanov
Manchester City • 22 years old
€43.2M
€50.0M
+15.6%
Expected: €50.5M
83.1
Nico Schlotterbeck
Borussia Dortmund • 26 years old
€47.6M
€55.0M
+15.6%
Expected: €56.5M
81.8
Levi Colwill
Chelsea FC • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €48.7M
81.6
Castello Lukeba
RB Leipzig • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €48.7M
81.4
Rúben Dias
Manchester City • 29 years old
€58.1M
€55.0M
-5.4%
Expected: €48.0M
80.9
Piero Hincapié
Arsenal FC • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €48.7M
80.3
Murillo
Nottingham Forest • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €48.7M
80.1
Yann Bisseck
Inter Milan • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €51.4M
78.9
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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 363 clubs with €8.7B combined value.
Age Distribution: World Centre-Backs
The World CB market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (273 players, 27% of market). The 24-26 age group holds the most value at €2.8B, averaging €10.2M per player.
Top Centre-Backs by Age Bracket
U21 Years (66 players)
21-23 Years (199 players)
24-26 Years (273 players)
27-29 Years (272 players)
Market Value Distribution
Elite Tier Concentration
The top 100 Centre-Backs (10% of players) control €3.7B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the World CB pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Centre-Backs
Among 363 World clubs, Arsenal FC leads with 5 Centre-Backs worth €300.0M (averaging €60.0M per player). The top 10 clubs account for 6% of tracked Centre-Backs.
Arsenal FC (5 Centre-Backs)
Manchester City (9 Centre-Backs)
Tottenham Hotspur (9 Centre-Backs)
FC Barcelona (6 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)
Arsenal FC's William Saliba at 25 years old has the highest Pre-Peak Value Efficiency at 22.22×. That means William Saliba is valued 22.22× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's Willian Pacho, who is 24 years old, with a 17.78× PPVE. Third is Josko Gvardiol of Manchester City, who is 24 years old with a 15.56× 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 22.22× means the player is worth 2122% 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 | €100.0M | €4.5M | 22.22× |
| #2 | Willian Pacho Paris Saint-Germain | 24 | 24-26 | €80.0M | €4.5M | 17.78× |
| #3 | Josko Gvardiol Manchester City | 24 | 24-26 | €70.0M | €4.5M | 15.56× |
| #4 | Pau Cubarsí FC Barcelona | 19 | U21 | €80.0M | €6.0M | 13.33× |
| #5 | Murillo Nottingham Forest | 24 | 24-26 | €50.0M | €4.5M | 11.11× |
| #6 | Yann Bisseck Inter Milan | 25 | 24-26 | €50.0M | €4.5M | 11.11× |
| #7 | Micky van de Ven Tottenham Hotspur | 25 | 24-26 | €50.0M | €4.5M | 11.11× |
| #8 | Piero Hincapié Arsenal FC | 24 | 24-26 | €50.0M | €4.5M | 11.11× |
| #9 | Malick Thiaw Newcastle United | 25 | 24-26 | €45.0M | €4.5M | 10.00× |
| #10 | Dean Huijsen Real Madrid | 21 | 21-23 | €60.0M | €6.0M | 10.00× |
| #11 | Luka Vuskovic Tottenham Hotspur | 19 | U21 | €60.0M | €6.0M | 10.00× |
| #12 | Jérémy Jacquet Stade Rennais FC | 21 | 21-23 | €55.0M | €6.0M | 9.17× |
| #13 | Eric García FC Barcelona | 25 | 24-26 | €40.0M | €4.5M | 8.89× |
| #14 | Gonçalo Inácio Sporting CP | 25 | 24-26 | €40.0M | €4.5M | 8.89× |
| #15 | Strahinja Pavlović AC Milan | 25 | 24-26 | €40.0M | €4.5M | 8.89× |
| #16 | Jarrad Branthwaite Everton FC | 24 | 24-26 | €40.0M | €4.5M | 8.89× |
| #17 | Levi Colwill Chelsea FC | 23 | 21-23 | €50.0M | €6.0M | 8.33× |
| #18 | Castello Lukeba RB Leipzig | 23 | 21-23 | €50.0M | €6.0M | 8.33× |
| #19 | Abdukodir Khusanov Manchester City | 22 | 21-23 | €50.0M | €6.0M | 8.33× |
| #20 | Leny Yoro Manchester United | 20 | U21 | €50.0M | €6.0M | 8.33× |
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)
1.FSV Mainz 05's Kacper Potulski at 18 years old has the highest Return-to-Peak Potential at +52%. That means Kacper Potulski is projected to appreciate 52% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Colorado Rapids's Lucas Herrington, who is 18 years old, with a +52% RPP (8 years to peak). Third is Matteo Palma of Udinese Calcio, who is 18 years old with a +52% 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 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 | Kacper Potulski 1.FSV Mainz 05 | 18 | 8 | €18.0M | €37.2M | +52% |
| #2 | Lucas Herrington Colorado Rapids | 18 | 8 | €4.5M | €9.3M | +52% |
| #3 | Matteo Palma Udinese Calcio | 18 | 8 | €5.0M | €10.3M | +52% |
| #4 | Luca Reggiani Borussia Dortmund | 18 | 8 | €10.0M | €20.7M | +52% |
| #5 | Honest Ahanor Atalanta BC | 18 | 8 | €30.0M | €62.0M | +52% |
| #6 | Ifeanyi Ndukwe Austria Vienna | 18 | 8 | €3.0M | €6.2M | +52% |
| #7 | Kyllian Antonio RC Lens | 18 | 8 | €3.0M | €6.2M | +52% |
| #8 | Ruud Nijstad FC Twente Enschede | 18 | 8 | €10.0M | €20.7M | +52% |
| #9 | Tylel Tati FC Nantes | 18 | 8 | €25.0M | €51.7M | +52% |
| #10 | Tobías Ramírez Club Atlético River Plate | 19 | 7 | €3.5M | €6.7M | +48% |
| #11 | Wojciech Mońka Lech Poznan | 19 | 7 | €10.0M | €19.2M | +48% |
| #12 | Nikola Simic FK Partizan Belgrade | 19 | 7 | €6.0M | €11.5M | +48% |
| #13 | Andrej Pavlovic OFK Beograd | 19 | 7 | €3.5M | €6.7M | +48% |
| #14 | Noah Markmann FC Nordsjaelland | 19 | 7 | €2.5M | €4.8M | +48% |
| #15 | Joane Gadou Fußballclub Red Bull Salzburg | 19 | 7 | €20.0M | €38.4M | +48% |
| #16 | Seny Koumbassa FC Toulouse | 19 | 7 | €5.0M | €9.6M | +48% |
| #17 | Axel Tape Bayer 04 Leverkusen | 19 | 7 | €8.0M | €15.4M | +48% |
| #18 | Ayden Heaven Manchester United | 19 | 7 | €30.0M | €57.6M | +48% |
| #19 | Karim Coulibaly SV Werder Bremen | 19 | 7 | €28.0M | €53.8M | +48% |
| #20 | Ezra Mayers West Ham United | 19 | 7 | €2.0M | €3.8M | +48% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
1.FSV Mainz 05's Kacper Potulski has the highest Risk-Adjusted Upside at 61.2. That means Kacper Potulski has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Colorado Rapids's Lucas Herrington with a 61.2 RAU (16% upside, 0% uncertainty). Third is Ifeanyi Ndukwe of Austria Vienna with a 61.2 RAU (16% 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 | Kacper Potulski 1.FSV Mainz 05 | €20.9M | €18.5M-23.4M | +16% | 61.2 |
| #2 | Lucas Herrington Colorado Rapids | €5.2M | €4.6M-5.8M | +16% | 61.2 |
| #3 | Ifeanyi Ndukwe Austria Vienna | €3.5M | €3.1M-3.9M | +16% | 61.2 |
| #4 | Kyllian Antonio RC Lens | €3.5M | €3.1M-3.9M | +16% | 61.2 |
| #5 | Matteo Palma Udinese Calcio | €5.8M | €5.1M-6.5M | +16% | 61.2 |
| #6 | Luca Reggiani Borussia Dortmund | €11.6M | €10.3M-13.0M | +16% | 61.2 |
| #7 | Ruud Nijstad FC Twente Enschede | €11.6M | €10.3M-13.0M | +16% | 61.2 |
| #8 | Tylel Tati FC Nantes | €29.1M | €25.7M-32.4M | +16% | 61.2 |
| #9 | Bruno Ogbus SC Freiburg | €16.5M | €14.6M-18.4M | +10% | 40.4 |
| #10 | Nikola Simic FK Partizan Belgrade | €6.6M | €5.9M-7.4M | +10% | 40.4 |
| #11 | Abdelhamid Ait Boudlal Stade Rennais FC | €13.2M | €11.7M-14.8M | +10% | 40.4 |
| #12 | Arthur Dias Clube Atlético Paranaense | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #13 | Ahmed Hadzimujovic FK Novi Pazar | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #14 | Noham Kamara Paris Saint-Germain | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #15 | Ignacio Ovando Club Atlético Rosario Central | €6.6M | €5.9M-7.4M | +10% | 40.4 |
| #16 | Tobias Slotsager Hellas Verona | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #17 | Jon Martín Real Sociedad | €27.6M | €24.4M-30.7M | +10% | 40.4 |
| #18 | Giovanni Leoni Liverpool FC | €27.6M | €24.4M-30.7M | +10% | 40.4 |
| #19 | Wojciech Mońka Lech Poznan | €11.0M | €9.8M-12.3M | +10% | 40.4 |
| #20 | Julius Berthel Askou Odense Boldklub | €2.8M | €2.4M-3.1M | +10% | 40.4 |
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)
Sporting CP's Sebastián Coates in the 30+ age bracket has the highest Age-Share Concentration at +-8.2%. That means Marquinhos captures 10.3% of total market value while representing only 18.5% of players in their age group-showing dominant elite status.
In second is Inter Milan's Stefan de Vrij with a +-8.2% ASC (10.3% value share vs 18.5% player share in 30+ bracket). Third is Michael Keane of Everton FC with a +-8.2% ASC (10.3% value vs 18.5% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-8.2% ASC means the player captures -8.2% 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 | Sebastián Coates Sporting CP | 30+ | 10.3% | 18.5% | -8.2% |
| #2 | Stefan de Vrij Inter Milan | 30+ | 10.3% | 18.5% | -8.2% |
| #3 | Michael Keane Everton FC | 30+ | 10.3% | 18.5% | -8.2% |
| #4 | Dominik Kohr 1.FSV Mainz 05 | 30+ | 10.3% | 18.5% | -8.2% |
| #5 | Shane Duffy Fulham FC | 30+ | 10.3% | 18.5% | -8.2% |
| #6 | Emre Can Borussia Dortmund | 30+ | 10.3% | 18.5% | -8.2% |
| #7 | Matthias Ginter SC Freiburg | 30+ | 10.3% | 18.5% | -8.2% |
| #8 | John Brooks TSG 1899 Hoffenheim | 30+ | 10.3% | 18.5% | -8.2% |
| #9 | Samuel Umtiti LOSC Lille | 30+ | 10.3% | 18.5% | -8.2% |
| #10 | Jonathan Gradit RC Lens | 30+ | 10.3% | 18.5% | -8.2% |
| #11 | Adama Soumaoro Bologna Football Club 1909 | 30+ | 10.3% | 18.5% | -8.2% |
| #12 | Ben Gibson Norwich City | 30+ | 10.3% | 18.5% | -8.2% |
| #13 | Francesco Acerbi Inter Milan | 30+ | 10.3% | 18.5% | -8.2% |
| #14 | Kenneth Omeruo Kasimpasa | 30+ | 10.3% | 18.5% | -8.2% |
| #15 | Patrick Mainka 1. Fußballclub Heidenheim 1846 | 30+ | 10.3% | 18.5% | -8.2% |
| #16 | Dan Burn Newcastle United | 30+ | 10.3% | 18.5% | -8.2% |
| #17 | Fabian Schär Newcastle United | 30+ | 10.3% | 18.5% | -8.2% |
| #18 | Sverrir Ingi Ingason Panathinaikos Athlitikos Omilos | 30+ | 10.3% | 18.5% | -8.2% |
| #19 | Virgil van Dijk Liverpool FC | 30+ | 10.3% | 18.5% | -8.2% |
| #20 | Danilo Pereira Al-Ittihad Football Club | 30+ | 10.3% | 18.5% | -8.2% |
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: 8 immediate targets, 55 standard acquisitions, 202 watch-list prospects, 464 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 €70.0M. 7 undervalued, 22 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Jeff Chabot VfB Stuttgart | €15.0M | €4.0M | -2.50 | Undervalued |
Olivier Boscagli Brighton & Hove Albion | €15.0M | €4.0M | -2.50 | Undervalued |
Axel Disasi West Ham United | €15.0M | €4.0M | -2.50 | Undervalued |
Alexsandro LOSC Lille | €15.0M | €4.0M | -2.50 | Undervalued |
Tosin Adarabioyo Chelsea FC | €16.0M | €4.0M | -2.00 | Undervalued |
Dara O'Shea Ipswich Town | €16.0M | €4.0M | -2.00 | Undervalued |
Emmanuel Agbadou Beşiktaş Jimnastik Kulübü | €16.0M | €4.0M | -2.00 | Undervalued |
Rúben Dias Manchester City | €55.0M | €4.0M | -1.50 | Good Value |
Fikayo Tomori AC Milan | €17.0M | €4.0M | -1.50 | Good Value |
Jacobo Ramón Como 1907 | €30.0M | €4.0M | -1.43 | Good Value |
Joe Rodon Leeds United | €18.0M | €4.0M | -1.00 | Good Value |
Matthijs de Ligt Manchester United | €30.0M | €4.0M | -1.00 | Good Value |
Kristoffer Ajer Brentford FC | €18.0M | €4.0M | -1.00 | Good Value |
Hiroki Ito Bayern Munich | €18.0M | €4.0M | -1.00 | Good Value |
Alessandro Buongiorno SSC Napoli | €30.0M | €4.0M | -1.00 | Good Value |
Konstantinos Mavropanos West Ham United | €18.0M | €4.0M | -1.00 | Good Value |
Facundo Medina Olympique Marseille | €18.0M | €4.0M | -1.00 | Good Value |
Roger Ibañez Al-Ahli Saudi Football Club | €18.0M | €4.0M | -1.00 | Good Value |
Leonardo Balerdi Olympique Marseille | €18.0M | €4.0M | -1.00 | Good Value |
Toti Wolverhampton Wanderers | €18.0M | €4.0M | -1.00 | Good Value |
Market Overview: World Centre-Backs 2025-26
Our database tracks 994 World Centre-Backs in the 2025-26 season, representing 363 clubs with a combined market value of €8.7B. The average market value for World Centre-Backs is €8.8M, with the average age at 26 years old.
The most valuable centre-back in the World is William Saliba, worth €100.0M and playing for Arsenal FC at 25 years old. The top 5 Centre-Backs average €78.0M in market value, including Willian Pacho and Josko Gvardiol.
Age distribution shows the youngest tracked centre-back is Honest Ahanor (18 years, Atalanta BC, €30.0M), while the oldest is Vincent Kompany (40 years, RSC Anderlecht, €4.0M). Research shows Centre-Backs typically peak at age 28.
Our 1-year forecast model projects 368 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 World market for Centre-Backs remains highly competitive with significant transfer activity expected in the 2025-26 season.
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 28 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: 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 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 €100.0M and plays for Arsenal FC. The second most valuable is Willian Pacho (€80.0M, Paris Saint-Germain), followed by Josko Gvardiol (€70.0M, Manchester City). Our database tracks 994 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 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 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: €100.0M), estimated transfer fees would range from €80.0M to €140.0M 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 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 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.