Best U23 Young Centre-Backs in the Ligue 1
45 players aged 23 or under · ranked by Analytical Strength Index
Best Young Centre-Backs in the Ligue 1 (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.
Ilya Zabarnyi
Paris Saint-Germain • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.1M
89.9
Lucas Beraldo
Paris Saint-Germain • 22 years old
€17.3M
€20.0M
+15.6%
Expected: €22.1M
74.2
Jérémy Jacquet
Stade Rennais FC • 21 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
73.6
Ismaël Doukouré
RC Strasbourg Alsace • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.1M
73.1
Charlie Cresswell
FC Toulouse • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €15.9M
70.8
Christian Mawissa
AS Monaco • 21 years old
€13.0M
€15.0M
+15.6%
Expected: €17.2M
70.0
Diego Coppola
Paris FC • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
61.7
Abdelhamid Ait Boudlal
Stade Rennais FC • 20 years old
€8.6M
€10.0M
+15.6%
Expected: €11.9M
60.8
Soumaïla Coulibaly
Stade Brestois 29 • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
57.2
Mikayil Faye
Stade Rennais FC • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
55.2
Abdoul Koné
Stade Reims • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
52.5
Antoine Mendy
OGC Nice • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.4M
50.1
Nathan Ngoy
LOSC Lille • 23 years old
€3.0M
€3.5M
+15.6%
Expected: €3.7M
48.8
Abakar Sylla
RC Strasbourg Alsace • 23 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
43.2
Ismaëlo Ganiou
RC Lens • 21 years old
€2.6M
€3.0M
+15.6%
Expected: €3.4M
42.4
Nathaniel Adjei
FC Lorient • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.9
Isaak Touré
FC Lorient • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.9
Ousmane Camara
Angers SCO • 23 years old
€1.3M
€1.5M
+15.6%
Expected: €1.6M
34.4
CJ Egan-Riley
Olympique Marseille • 23 years old
€1.3M
€1.5M
+15.6%
Expected: €1.6M
34.4
Aliou Thiaré
Le Havre AC • 22 years old
€1.3M
€1.5M
+15.6%
Expected: €1.7M
34.0
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Explore Market Size by Position in Ligue 1
Interactive bubble chart showing predicted 2-year growth vs current age for all Ligue 1 Young Centre-Backs. Identify undervalued assets and track market momentum across 21 clubs with €210.4M combined value.
Age Distribution: Ligue 1 Young Centre-Backs
The Ligue 1 CB market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (36 players, 80% of market). The 21-23 age group holds the most value at €196.1M, averaging €5.4M per player.
Top Young Centre-Backs by Age Bracket
U21 Years (9 players)
21-23 Years (36 players)
Market Value Distribution
Elite Tier Concentration
The top 5 Young Centre-Backs (11% of players) control €123.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Ligue 1 CB pool.
Elite (€50M+)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Ligue 1 Young Centre-Backs
Among 21 Ligue 1 clubs, Paris Saint-Germain leads with 5 Young Centre-Backs worth €72.5M (averaging €14.5M per player). The top 10 clubs account for 62% of tracked Young Centre-Backs.
Paris Saint-Germain (5 Young Centre-Backs)
Stade Rennais FC (3 Young Centre-Backs)
RC Strasbourg Alsace (4 Young Centre-Backs)
FC Toulouse (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)
Paris Saint-Germain's Ilya Zabarnyi at 23 years old has the highest Pre-Peak Value Efficiency at 33.33×. That means Ilya Zabarnyi is valued 33.33× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Stade Rennais FC's Abdelhamid Ait Boudlal, who is 20 years old, with a 28.57× PPVE. Third is Jérémy Jacquet of Stade Rennais FC, who is 21 years old with a 13.33× 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 33.33× means the player is worth 3233% 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 | Ilya Zabarnyi Paris Saint-Germain | 23 | 21-23 | €50.0M | €1.5M | 33.33× |
| #2 | Abdelhamid Ait Boudlal Stade Rennais FC | 20 | U21 | €10.0M | €350K | 28.57× |
| #3 | Jérémy Jacquet Stade Rennais FC | 21 | 21-23 | €20.0M | €1.5M | 13.33× |
| #4 | Lucas Beraldo Paris Saint-Germain | 22 | 21-23 | €20.0M | €1.5M | 13.33× |
| #5 | Ismaël Doukouré RC Strasbourg Alsace | 23 | 21-23 | €18.0M | €1.5M | 12.00× |
| #6 | Christian Mawissa AS Monaco | 21 | 21-23 | €15.0M | €1.5M | 10.00× |
| #7 | Charlie Cresswell FC Toulouse | 23 | 21-23 | €15.0M | €1.5M | 10.00× |
| #8 | Diego Coppola Paris FC | 22 | 21-23 | €10.0M | €1.5M | 6.67× |
| #9 | Soumaïla Coulibaly Stade Brestois 29 | 22 | 21-23 | €7.0M | €1.5M | 4.67× |
| #10 | Mikayil Faye Stade Rennais FC | 22 | 21-23 | €6.0M | €1.5M | 4.00× |
| #11 | Naoufel El Hannach Paris Saint-Germain | 19 | U21 | €1.2M | €350K | 3.43× |
| #12 | Abdoul Koné Stade Reims | 21 | 21-23 | €5.0M | €1.5M | 3.33× |
| #13 | Noham Kamara Paris Saint-Germain | 19 | U21 | €1.0M | €350K | 2.86× |
| #14 | Nidal Celik RC Lens | 20 | U21 | €1.0M | €350K | 2.86× |
| #15 | Antoine Mendy OGC Nice | 22 | 21-23 | €4.0M | €1.5M | 2.67× |
| #16 | Nathan Ngoy LOSC Lille | 23 | 21-23 | €3.5M | €1.5M | 2.33× |
| #17 | Ismaëlo Ganiou RC Lens | 21 | 21-23 | €3.0M | €1.5M | 2.00× |
| #18 | Abakar Sylla RC Strasbourg Alsace | 23 | 21-23 | €3.0M | €1.5M | 2.00× |
| #19 | Nathaniel Adjei FC Lorient | 23 | 21-23 | €2.5M | €1.5M | 1.67× |
| #20 | Isaak Touré FC Lorient | 23 | 21-23 | €2.5M | €1.5M | 1.67× |
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)
OGC Nice's Amidou Doumbouya at 18 years old has the highest Return-to-Peak Potential at +48%. That means Kyllian Antonio is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is RC Lens's Kyllian Antonio, who is 18 years old, with a +48% RPP (8 years to peak). Third is Isaac Cossier of LOSC Lille, 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 | Amidou Doumbouya OGC Nice | 18 | 8 | €200K | €384K | +48% |
| #2 | Kyllian Antonio RC Lens | 18 | 8 | €250K | €480K | +48% |
| #3 | Isaac Cossier LOSC Lille | 19 | 7 | €200K | €357K | +44% |
| #4 | Naoufel El Hannach Paris Saint-Germain | 19 | 7 | €1.2M | €2.1M | +44% |
| #5 | Noham Kamara Paris Saint-Germain | 19 | 7 | €1.0M | €1.8M | +44% |
| #6 | Nidal Celik RC Lens | 20 | 6 | €1.0M | €1.7M | +40% |
| #7 | Yoni Gomis RC Strasbourg Alsace | 20 | 6 | €350K | €582K | +40% |
| #8 | Anthony Khelifa AC Ajaccio | 20 | 6 | €150K | €249K | +40% |
| #9 | Abdelhamid Ait Boudlal Stade Rennais FC | 20 | 6 | €10.0M | €16.6M | +40% |
| #10 | Ismaëlo Ganiou RC Lens | 21 | 5 | €3.0M | €4.6M | +35% |
| #11 | Jérémy Jacquet Stade Rennais FC | 21 | 5 | €20.0M | €30.9M | +35% |
| #12 | Christian Mawissa AS Monaco | 21 | 5 | €15.0M | €23.2M | +35% |
| #13 | Telli Siwe AJ Auxerre | 21 | 5 | €1.0M | €1.5M | +35% |
| #14 | Abdoul Koné Stade Reims | 21 | 5 | €5.0M | €7.7M | +35% |
| #15 | Nehemiah Fernandez Paris Saint-Germain | 21 | 5 | €250K | €386K | +35% |
| #16 | Souleymane Sagnan RC Lens | 21 | 5 | €400K | €618K | +35% |
| #17 | Rony Mimb Baheng Olympique Marseille | 21 | 5 | €300K | €464K | +35% |
| #18 | Ritchy Valme AS Monaco | 21 | 5 | €200K | €309K | +35% |
| #19 | Franci Bouebari RC Strasbourg Alsace | 22 | 4 | €250K | €359K | +30% |
| #20 | Kévin Keben FC Toulouse | 22 | 4 | €500K | €719K | +30% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
RC Lens's Kyllian Antonio has the highest Risk-Adjusted Upside at 94.8. That means Kyllian Antonio has 28% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is OGC Nice's Amidou Doumbouya with a 94.8 RAU (28% upside, 0% uncertainty). Third is Naoufel El Hannach of Paris Saint-Germain 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 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 | Kyllian Antonio RC Lens | €320K | €283K-356K | +28% | 94.8 |
| #2 | Amidou Doumbouya OGC Nice | €256K | €226K-285K | +28% | 94.8 |
| #3 | Naoufel El Hannach Paris Saint-Germain | €1.5M | €1.3M-1.7M | +23% | 82.7 |
| #4 | Isaac Cossier LOSC Lille | €247K | €219K-275K | +23% | 82.7 |
| #5 | Noham Kamara Paris Saint-Germain | €1.2M | €1.1M-1.4M | +23% | 82.7 |
| #6 | Yoni Gomis RC Strasbourg Alsace | €417K | €369K-465K | +19% | 69.6 |
| #7 | Nidal Celik RC Lens | €1.2M | €1.1M-1.3M | +19% | 69.6 |
| #8 | Anthony Khelifa AC Ajaccio | €179K | €158K-199K | +19% | 69.6 |
| #9 | Abdelhamid Ait Boudlal Stade Rennais FC | €11.9M | €10.5M-13.3M | +19% | 69.6 |
| #10 | Christian Mawissa AS Monaco | €17.2M | €15.2M-19.2M | +15% | 55.6 |
| #11 | Souleymane Sagnan RC Lens | €459K | €406K-511K | +15% | 55.6 |
| #12 | Ritchy Valme AS Monaco | €229K | €203K-256K | +15% | 55.6 |
| #13 | Ismaëlo Ganiou RC Lens | €3.4M | €3.0M-3.8M | +15% | 55.6 |
| #14 | Telli Siwe AJ Auxerre | €1.1M | €1.0M-1.3M | +15% | 55.6 |
| #15 | Nehemiah Fernandez Paris Saint-Germain | €287K | €254K-320K | +15% | 55.6 |
| #16 | Jérémy Jacquet Stade Rennais FC | €22.9M | €20.3M-25.6M | +15% | 55.6 |
| #17 | Abdoul Koné Stade Reims | €5.7M | €5.1M-6.4M | +15% | 55.6 |
| #18 | Rony Mimb Baheng Olympique Marseille | €344K | €304K-384K | +15% | 55.6 |
| #19 | Soumaïla Coulibaly Stade Brestois 29 | €7.7M | €6.9M-8.5M | +10% | 46.5 |
| #20 | Franci Bouebari RC Strasbourg Alsace | €276K | €248K-303K | +10% | 46.5 |
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 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)
Stade Rennais FC's Jérémy Jacquet in the 21-23 age bracket has the highest Age-Share Concentration at +13.2%. That means Ilya Zabarnyi captures 93.2% of total market value while representing only 80.0% of players in their age group-showing dominant elite status.
In second is AS Monaco's Christian Mawissa with a +13.2% ASC (93.2% value share vs 80.0% player share in 21-23 bracket). Third is Junior Diaz of Stade Brestois 29 with a +13.2% ASC (93.2% value vs 80.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +13.2% ASC means the player captures 13.2% 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 | Jérémy Jacquet Stade Rennais FC | 21-23 | 93.2% | 80.0% | +13.2% |
| #2 | Christian Mawissa AS Monaco | 21-23 | 93.2% | 80.0% | +13.2% |
| #3 | Junior Diaz Stade Brestois 29 | 21-23 | 93.2% | 80.0% | +13.2% |
| #4 | Ismaëlo Ganiou RC Lens | 21-23 | 93.2% | 80.0% | +13.2% |
| #5 | Franci Bouebari RC Strasbourg Alsace | 21-23 | 93.2% | 80.0% | +13.2% |
| #6 | Telli Siwe AJ Auxerre | 21-23 | 93.2% | 80.0% | +13.2% |
| #7 | Sadibou Sané FC Metz | 21-23 | 93.2% | 80.0% | +13.2% |
| #8 | Abdoul Koné Stade Reims | 21-23 | 93.2% | 80.0% | +13.2% |
| #9 | Souleymane Sagnan RC Lens | 21-23 | 93.2% | 80.0% | +13.2% |
| #10 | Rony Mimb Baheng Olympique Marseille | 21-23 | 93.2% | 80.0% | +13.2% |
| #11 | Nathan Ngoy LOSC Lille | 21-23 | 93.2% | 80.0% | +13.2% |
| #12 | CJ Egan-Riley Olympique Marseille | 21-23 | 93.2% | 80.0% | +13.2% |
| #13 | Charlie Cresswell FC Toulouse | 21-23 | 93.2% | 80.0% | +13.2% |
| #14 | Lenny Lacroix FC Metz | 21-23 | 93.2% | 80.0% | +13.2% |
| #15 | Nathaniel Adjei FC Lorient | 21-23 | 93.2% | 80.0% | +13.2% |
| #16 | Ilya Zabarnyi Paris Saint-Germain | 21-23 | 93.2% | 80.0% | +13.2% |
| #17 | Soumaïla Coulibaly Stade Brestois 29 | 21-23 | 93.2% | 80.0% | +13.2% |
| #18 | Diego Coppola Paris FC | 21-23 | 93.2% | 80.0% | +13.2% |
| #19 | Mikayil Faye Stade Rennais FC | 21-23 | 93.2% | 80.0% | +13.2% |
| #20 | Isaak Touré FC Lorient | 21-23 | 93.2% | 80.0% | +13.2% |
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: 9 immediate targets, 36 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 €500K. 0 undervalued, 6 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Christian Mawissa AS Monaco | €15.0M | €1.0M | -0.60 | Good Value |
Charlie Cresswell FC Toulouse | €15.0M | €1.0M | -0.60 | Good Value |
Abdoul Koné Stade Reims | €5.0M | €1.0M | -0.50 | Fair Value |
Tijany Atallah FC Girondins Bordeaux | €150K | €1.0M | -0.36 | Fair Value |
Daylam Meddah Angers SCO | €150K | €1.0M | -0.36 | Fair Value |
Josué Escartin Stade Brestois 29 | €150K | €1.0M | -0.36 | Fair Value |
Ritchy Valme AS Monaco | €200K | €1.0M | -0.32 | Fair Value |
Victor Mayela AJ Auxerre | €200K | €1.0M | -0.32 | Fair Value |
Eric N'Jo ESTAC Troyes | €200K | €1.0M | -0.32 | Fair Value |
Franci Bouebari RC Strasbourg Alsace | €250K | €1.0M | -0.28 | Fair Value |
Nehemiah Fernandez Paris Saint-Germain | €250K | €1.0M | -0.28 | Fair Value |
Mikayil Faye Stade Rennais FC | €6.0M | €1.0M | -0.25 | Fair Value |
Anthony Khelifa AC Ajaccio | €150K | €1.0M | -0.25 | Fair Value |
Rony Mimb Baheng Olympique Marseille | €300K | €1.0M | -0.24 | Fair Value |
Abdoulaye Bakayoko AS Saint-Étienne | €350K | €1.0M | -0.20 | Fair Value |
Amidou Doumbouya OGC Nice | €200K | €1.0M | -0.19 | Fair Value |
Isaac Cossier LOSC Lille | €200K | €1.0M | -0.19 | Fair Value |
Junior Diaz Stade Brestois 29 | €400K | €1.0M | -0.16 | Fair Value |
Souleymane Sagnan RC Lens | €400K | €1.0M | -0.16 | Fair Value |
Kyllian Antonio RC Lens | €250K | €1.0M | -0.12 | Fair Value |
Market Overview: Ligue 1 Young Centre-Backs 2022-23
Our database tracked 45 Ligue 1 Young Centre-Backs in the 2022-23 season, representing 21 clubs with a combined market value of €210.4M. The average market value for Ligue 1 Young Centre-Backs was €4.7M, with the average age at 22 years old.
The most valuable young centre-back in the Ligue 1 was Ilya Zabarnyi, worth €50.0M and played for Paris Saint-Germain at 23 years old. The top 5 Young Centre-Backs averaged €24.6M in market value, including Lucas Beraldo and Jérémy Jacquet.
Age distribution showed the youngest tracked young centre-back was Kyllian Antonio (18 years, RC Lens, €250K), while the oldest was Ilya Zabarnyi (23 years, Paris Saint-Germain, €50.0M). Research shows Young Centre-Backs typically peak at age 27.
Historical analysis showed 45 Young Centre-Backs (100%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Ligue 1 market for Young Centre-Backs remained actively developing with emerging talent in the 2022-23 season.
How We Rank Ligue 1 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 Ligue 1 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 Ligue 1 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%)
Ligue 1 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 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 Ligue 1 Young Centre-Backs in the 2022-23 season
Who are the most valuable Young Centre-Backs in the Ligue 1 in 2022-23?
The most valuable young centre-back in the Ligue 1 in 2022-23 is Ilya Zabarnyi, who is worth €50.0M and plays for Paris Saint-Germain. The second most valuable is Lucas Beraldo (€20.0M, Paris Saint-Germain), followed by Jérémy Jacquet (€20.0M, Stade Rennais FC). Our database tracks 45 Ligue 1 Young Centre-Backs with comprehensive market valuations updated for the 2022-23 season.
How are Ligue 1 Young Centre-Backs ranked?
Ligue 1 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 Ligue 1 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 Ligue 1?
Transfer fees for Ligue 1 Young Centre-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young centre-back Ilya Zabarnyi (market value: €50.0M), estimated transfer fees would range from €40.0M to €70.0M 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 Ligue 1 transactions.
What is the value forecast for Ligue 1 Young Centre-Backs?
Our 1-year forecast model projects market value changes for Ligue 1 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 Ligue 1 young centre-back data come from?
Our Ligue 1 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 Ligue 1 sources and updated monthly for the 2022-23 season to ensure accuracy for recruitment and investment decisions.