Best U23 Young Centre-Backs in the World
173 players aged 23 or under · ranked by Analytical Strength Index
Best Young Centre-Backs in the World (Jul 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.
Leny Yoro
Manchester United • 20 years old
€47.6M
€55.0M
+15.6%
Expected: €68.2M
86.6
Levi Colwill
Chelsea FC • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.1M
80.1
Ilya Zabarnyi
Paris Saint-Germain • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.1M
80.1
Giorgio Scalvini
Atalanta BC • 22 years old
€38.9M
€45.0M
+15.6%
Expected: €51.6M
75.9
Ousmane Diomande
Sporting CP • 22 years old
€38.9M
€45.0M
+15.6%
Expected: €51.6M
75.6
Castello Lukeba
RB Leipzig • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €49.6M
74.9
Luka Vuskovic
Tottenham Hotspur • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €51.4M
73.8
Jarell Quansah
Bayer 04 Leverkusen • 23 years old
€34.6M
€40.0M
+15.6%
Expected: €44.1M
69.9
Cristhian Mosquera
Arsenal FC • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €40.2M
65.5
Abdukodir Khusanov
Manchester City • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €40.2M
65.5
Pau Cubarsí
FC Barcelona • 19 years old
€25.9M
€30.0M
+15.6%
Expected: €37.0M
58.4
Vitor Reis
Girona FC • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €35.7M
57.5
António Silva
SL Benfica • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €33.1M
56.2
Zeno Debast
Sporting CP • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €33.1M
56.2
Mamadou Sarr
Chelsea FC • 20 years old
€21.6M
€25.0M
+15.6%
Expected: €29.8M
52.0
Finn Jeltsch
VfB Stuttgart • 20 years old
€21.6M
€25.0M
+15.6%
Expected: €29.8M
51.8
Renato Veiga
Villarreal CF • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
51.2
Konstantinos Koulierakis
VfL Wolfsburg • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
51.2
Pietro Comuzzo
ACF Fiorentina • 21 years old
€19.9M
€23.0M
+15.6%
Expected: €26.4M
49.3
Karim Coulibaly
SV Werder Bremen • 19 years old
€17.3M
€20.0M
+15.6%
Expected: €24.7M
46.2
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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 Young Centre-Backs. Identify undervalued assets and track market momentum across 129 clubs with €1.5B combined value.
Age Distribution: World Young Centre-Backs
The World CB market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (141 players, 82% of market). The 21-23 age group holds the most value at €1.1B, averaging €8.1M per player.
Top Young Centre-Backs by Age Bracket
U21 Years (31 players)
21-23 Years (141 players)
Market Value Distribution
Elite Tier Concentration
The top 18 Young Centre-Backs (10% of players) control €660.0M
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 Young Centre-Backs
Among 129 World clubs, Chelsea FC leads with 3 Young Centre-Backs worth €80.0M (averaging €26.7M per player). The top 10 clubs account for 13% of tracked Young Centre-Backs.
Chelsea FC (3 Young Centre-Backs)
Sporting CP (2 Young Centre-Backs)
Paris Saint-Germain (3 Young Centre-Backs)
Manchester United (2 Young 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)
Chelsea FC's Levi Colwill at 23 years old has the highest Pre-Peak Value Efficiency at 12.50×. That means Levi Colwill is valued 12.50× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's Ilya Zabarnyi, who is 23 years old, with a 12.50× PPVE. Third is Giorgio Scalvini of Atalanta BC, who is 22 years old with a 11.25× 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 12.50× means the player is worth 1150% 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 | Levi Colwill Chelsea FC | 23 | 21-23 | €50.0M | €4.0M | 12.50× |
| #2 | Ilya Zabarnyi Paris Saint-Germain | 23 | 21-23 | €50.0M | €4.0M | 12.50× |
| #3 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €45.0M | €4.0M | 11.25× |
| #4 | Castello Lukeba RB Leipzig | 23 | 21-23 | €45.0M | €4.0M | 11.25× |
| #5 | Ousmane Diomande Sporting CP | 22 | 21-23 | €45.0M | €4.0M | 11.25× |
| #6 | Leny Yoro Manchester United | 20 | U21 | €55.0M | €5.0M | 11.00× |
| #7 | Jarell Quansah Bayer 04 Leverkusen | 23 | 21-23 | €40.0M | €4.0M | 10.00× |
| #8 | Cristhian Mosquera Arsenal FC | 22 | 21-23 | €35.0M | €4.0M | 8.75× |
| #9 | Abdukodir Khusanov Manchester City | 22 | 21-23 | €35.0M | €4.0M | 8.75× |
| #10 | Luka Vuskovic Tottenham Hotspur | 19 | U21 | €40.0M | €5.0M | 8.00× |
| #11 | Zeno Debast Sporting CP | 22 | 21-23 | €30.0M | €4.0M | 7.50× |
| #12 | António Silva SL Benfica | 22 | 21-23 | €30.0M | €4.0M | 7.50× |
| #13 | Konstantinos Koulierakis VfL Wolfsburg | 22 | 21-23 | €25.0M | €4.0M | 6.25× |
| #14 | Renato Veiga Villarreal CF | 22 | 21-23 | €25.0M | €4.0M | 6.25× |
| #15 | Vitor Reis Girona FC | 20 | U21 | €30.0M | €5.0M | 6.00× |
| #16 | Pau Cubarsí FC Barcelona | 19 | U21 | €30.0M | €5.0M | 6.00× |
| #17 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €23.0M | €4.0M | 5.75× |
| #18 | Jérémy Jacquet Stade Rennais FC | 21 | 21-23 | €20.0M | €4.0M | 5.00× |
| #19 | Lucas Beraldo Paris Saint-Germain | 22 | 21-23 | €20.0M | €4.0M | 5.00× |
| #20 | Mamadou Sarr Chelsea FC | 20 | U21 | €25.0M | €5.0M | 5.00× |
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 +48%. That means Axel Tape is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Bayer 04 Leverkusen's Axel Tape, who is 18 years old, with a +48% RPP (8 years to peak). Third is Noahkai Banks of FC Augsburg, who is 19 years old with a +44% 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 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 | Axel Tape Bayer 04 Leverkusen | 18 | 8 | €8.0M | €15.4M | +48% |
| #3 | Noahkai Banks FC Augsburg | 19 | 7 | €15.0M | €26.8M | +44% |
| #4 | Pau Cubarsí FC Barcelona | 19 | 7 | €30.0M | €53.6M | +44% |
| #5 | Virgilio Olaya SD Aucas | 18 | 8 | €1.2M | €2.1M | +44% |
| #6 | Jaydee Canvot Crystal Palace | 19 | 7 | €20.0M | €35.7M | +44% |
| #7 | Noah Markmann FC Nordsjaelland | 19 | 7 | €2.5M | €4.5M | +44% |
| #8 | Naoufel El Hannach Paris Saint-Germain | 19 | 7 | €1.2M | €2.1M | +44% |
| #9 | Ayden Heaven Manchester United | 19 | 7 | €10.0M | €17.9M | +44% |
| #10 | Karim Coulibaly SV Werder Bremen | 19 | 7 | €20.0M | €35.7M | +44% |
| #11 | Luka Vuskovic Tottenham Hotspur | 19 | 7 | €40.0M | €71.5M | +44% |
| #12 | Joachim Kayi Sanda Southampton FC | 19 | 7 | €1.2M | €2.1M | +44% |
| #13 | Vitor Reis Girona FC | 20 | 6 | €30.0M | €49.9M | +40% |
| #14 | Gonçalo Oliveira SL Benfica | 20 | 6 | €2.0M | €3.3M | +40% |
| #15 | Yusuf Akçiçek Al-Hilal Saudi Football Club | 20 | 6 | €16.0M | €26.6M | +40% |
| #16 | Dies Janse FC Groningen | 20 | 6 | €3.5M | €5.8M | +40% |
| #17 | Tobias Slotsager Hellas Verona | 20 | 6 | €2.0M | €3.3M | +40% |
| #18 | Mamadou Sarr Chelsea FC | 20 | 6 | €25.0M | €41.5M | +40% |
| #19 | Leny Yoro Manchester United | 20 | 6 | €55.0M | €91.4M | +40% |
| #20 | Finn Jeltsch VfB Stuttgart | 20 | 6 | €25.0M | €41.5M | +40% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Tottenham Hotspur's Luka Vuskovic has the highest Risk-Adjusted Upside at 96.5. That means Luka Vuskovic has 29% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Udinese Calcio's Matteo Palma with a 94.8 RAU (28% upside, 0% uncertainty). Third is Axel Tape of Bayer 04 Leverkusen with a 94.8 RAU (28% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 96.5 means the upside is 96.5× 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 | Luka Vuskovic Tottenham Hotspur | €51.4M | €45.5M-57.3M | +29% | 96.5 |
| #2 | Matteo Palma Udinese Calcio | €6.4M | €5.7M-7.1M | +28% | 94.8 |
| #3 | Axel Tape Bayer 04 Leverkusen | €10.2M | €9.1M-11.4M | +28% | 94.8 |
| #4 | Leny Yoro Manchester United | €68.2M | €60.3M-76.0M | +24% | 84.0 |
| #5 | Jaydee Canvot Crystal Palace | €24.7M | €21.9M-27.5M | +23% | 82.7 |
| #6 | Noah Markmann FC Nordsjaelland | €3.1M | €2.7M-3.4M | +23% | 82.7 |
| #7 | Ayden Heaven Manchester United | €12.3M | €10.9M-13.8M | +23% | 82.7 |
| #8 | Karim Coulibaly SV Werder Bremen | €24.7M | €21.9M-27.5M | +23% | 82.7 |
| #9 | Naoufel El Hannach Paris Saint-Germain | €1.5M | €1.3M-1.7M | +23% | 82.7 |
| #10 | Joachim Kayi Sanda Southampton FC | €1.5M | €1.3M-1.7M | +23% | 82.7 |
| #11 | Noahkai Banks FC Augsburg | €18.5M | €16.4M-20.7M | +23% | 82.7 |
| #12 | Pau Cubarsí FC Barcelona | €37.0M | €32.8M-41.3M | +23% | 82.7 |
| #13 | Gonçalo Oliveira SL Benfica | €2.4M | €2.1M-2.7M | +19% | 69.6 |
| #14 | Yusuf Akçiçek Al-Hilal Saudi Football Club | €19.1M | €16.9M-21.2M | +19% | 69.6 |
| #15 | Tobias Slotsager Hellas Verona | €2.4M | €2.1M-2.7M | +19% | 69.6 |
| #16 | Marvin Young Sparta Rotterdam | €4.8M | €4.2M-5.3M | +19% | 69.6 |
| #17 | Jahmai Simpson-Pusey 1.FC Köln | €4.8M | €4.2M-5.3M | +19% | 69.6 |
| #18 | Bastien Meupiyou FC Alverca | €4.8M | €4.2M-5.3M | +19% | 69.6 |
| #19 | Hamza Güreler Basaksehir FK | €2.4M | €2.1M-2.7M | +19% | 69.6 |
| #20 | Fellipe Jack Como 1907 | €2.1M | €1.9M-2.4M | +19% | 69.6 |
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: young 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)
Stade Rennais FC's Jérémy Jacquet in the 21-23 age bracket has the highest Age-Share Concentration at +-6.0%. That means Levi Colwill captures 76.0% of total market value while representing only 82.0% of players in their age group-showing dominant elite status.
In second is AS Monaco's Christian Mawissa with a +-6.0% ASC (76.0% value share vs 82.0% player share in 21-23 bracket). Third is Tyler Bindon of Sheffield United with a +-6.0% ASC (76.0% value vs 82.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-6.0% ASC means the player captures -6.0% more market value than their numerical representation-indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.
Value Concentration by Player
| Rank | Player | Age Bracket | Value Share | Player Share | ASC |
|---|---|---|---|---|---|
| #1 | Jérémy Jacquet Stade Rennais FC | 21-23 | 76.0% | 82.0% | -6.0% |
| #2 | Christian Mawissa AS Monaco | 21-23 | 76.0% | 82.0% | -6.0% |
| #3 | Tyler Bindon Sheffield United | 21-23 | 76.0% | 82.0% | -6.0% |
| #4 | Matte Smets KRC Genk | 21-23 | 76.0% | 82.0% | -6.0% |
| #5 | Ismaëlo Ganiou RC Lens | 21-23 | 76.0% | 82.0% | -6.0% |
| #6 | Pau Navarro Villarreal CF | 21-23 | 76.0% | 82.0% | -6.0% |
| #7 | Taras Mykhavko Dynamo Kyiv | 21-23 | 76.0% | 82.0% | -6.0% |
| #8 | Javi Rodríguez Celta de Vigo | 21-23 | 76.0% | 82.0% | -6.0% |
| #9 | Ousmane Diao FC Midtjylland | 21-23 | 76.0% | 82.0% | -6.0% |
| #10 | Lucas Quintana Club Cerro Porteño | 21-23 | 76.0% | 82.0% | -6.0% |
| #11 | Tiago Gabriel US Lecce | 21-23 | 76.0% | 82.0% | -6.0% |
| #12 | Nahuel Herrera CA Peñarol | 21-23 | 76.0% | 82.0% | -6.0% |
| #13 | Gonzalo Requena Instituto ACC | 21-23 | 76.0% | 82.0% | -6.0% |
| #14 | Abdoul Koné Stade Reims | 21-23 | 76.0% | 82.0% | -6.0% |
| #15 | Matías Moreno Levante UD | 21-23 | 76.0% | 82.0% | -6.0% |
| #16 | Aarón Anselmino Borussia Dortmund | 21-23 | 76.0% | 82.0% | -6.0% |
| #17 | Emmanuel Kakou Cercle Brugge | 21-23 | 76.0% | 82.0% | -6.0% |
| #18 | Marco Kana RSC Anderlecht | 21-23 | 76.0% | 82.0% | -6.0% |
| #19 | Luca Jaquez VfB Stuttgart | 21-23 | 76.0% | 82.0% | -6.0% |
| #20 | Zeno Debast Sporting CP | 21-23 | 76.0% | 82.0% | -6.0% |
Buy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
What This Shows
How to use:"Buy Now - High Upside" = immediate priority targets."Watch List" = monitor for 6-12 months."Peak" = pay premium for proven performers."Aging" = short-term depth only.
Current market: 31 immediate targets, 141 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
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 €1.8M. 0 undervalued, 2 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Zeno Debast Sporting CP | €30.0M | €4.0M | -1.00 | Good Value |
António Silva SL Benfica | €30.0M | €4.0M | -1.00 | Good Value |
Alessandro Fontanarosa Inter Milan | €1.2M | €4.0M | -0.76 | Good Value |
Lenny Lacroix FC Metz | €1.2M | €4.0M | -0.76 | Good Value |
Lucas Belezi Club Athletico Paranaense | €1.2M | €4.0M | -0.76 | Good Value |
Tarik Muharemović US Sassuolo | €1.2M | €4.0M | -0.76 | Good Value |
Maksym Dyachuk Lechia Gdansk | €1.2M | €4.0M | -0.76 | Good Value |
Yllan Okou RAAL La Louvière | €1.2M | €4.0M | -0.76 | Good Value |
Alexander Busch Silkeborg IF | €1.2M | €4.0M | -0.76 | Good Value |
Matías Lazo FBC Melgar | €1.2M | €4.0M | -0.76 | Good Value |
Valdemar Lund Molde Fotballklubb | €1.4M | €4.0M | -0.65 | Good Value |
Yasin Özcan RSC Anderlecht | €5.0M | €4.0M | -0.60 | Good Value |
Matteo Palma Udinese Calcio | €5.0M | €4.0M | -0.60 | Good Value |
David Odogu AC Milan | €5.0M | €4.0M | -0.60 | Good Value |
Tyler Bindon Sheffield United | €1.5M | €4.0M | -0.59 | Good Value |
Emmanuel Kakou Cercle Brugge | €1.5M | €4.0M | -0.59 | Good Value |
CJ Egan-Riley Olympique Marseille | €1.5M | €4.0M | -0.59 | Good Value |
James Abankwah Watford FC | €1.5M | €4.0M | -0.59 | Good Value |
Leo Hjelde Sunderland AFC | €1.5M | €4.0M | -0.59 | Good Value |
Luke Chambers Liverpool FC | €1.5M | €4.0M | -0.59 | Good Value |
Market Overview: World Young Centre-Backs 2025-26
Our database tracks 172 World Young Centre-Backs in the 2025-26 season, representing 129 clubs with a combined market value of €1.5B. The average market value for World Young Centre-Backs is €8.8M, with the average age at 22 years old.
The most valuable young centre-back in the World is Leny Yoro, worth €55.0M and playing for Manchester United at 20 years old. The top 5 Young Centre-Backs average €49.0M in market value, including Levi Colwill and Ilya Zabarnyi.
Age distribution shows the youngest tracked young centre-back is Axel Tape (18 years, Bayer 04 Leverkusen, €8.0M), while the oldest is Levi Colwill (23 years, Chelsea FC, €50.0M). Research shows Young Centre-Backs typically peak at age 27.
Our 1-year forecast model projects 172 Young Centre-Backs (100%) 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 Young Centre-Backs remains highly competitive with significant transfer activity expected in the 2025-26 season.
How We Rank World Young Centre-Backs
Our Analytical Strength Index is calibrated specifically for young 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 young 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 young 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 young 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 Young Centre-Backs in the 2025-26 season
Who are the most valuable Young Centre-Backs in the World in 2025-26?
The most valuable young centre-back in the World in 2025-26 is Leny Yoro, who is worth €55.0M and plays for Manchester United. The second most valuable is Levi Colwill (€50.0M, Chelsea FC), followed by Ilya Zabarnyi (€50.0M, Paris Saint-Germain). Our database tracks 172 World Young Centre-Backs with comprehensive market valuations updated for the 2025-26 season.
How are World Young Centre-Backs ranked?
World Young Centre-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young 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 Young 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 young centre-back from the World?
Transfer fees for World Young Centre-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young centre-back Leny Yoro (market value: €55.0M), estimated transfer fees would range from €44.0M to €77.0M 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 Young Centre-Backs?
Our 1-year forecast model projects market value changes for World Young 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 young centre-back data come from?
Our World young 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.