Best U23 Young Centre-Backs in the Ligue 1
55 players aged 23 or under · ranked by Analytical Strength Index
Best Young Centre-Backs in the Ligue 1 (Sep 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.
Jérémy Jacquet
Stade Rennais FC • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €55.5M
90.2
Nathan Ngoy
LOSC Lille • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €24.3M
77.1
Samson Baidoo
RC Lens • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €25.4M
76.9
Tylel Tati
FC Nantes • 18 years old
€21.6M
€25.0M
+15.6%
Expected: €29.1M
75.7
Lucas Beraldo
Paris Saint-Germain • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €22.3M
75.4
Ismaël Doukouré
RC Strasbourg Alsace • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €19.4M
74.3
Ismaëlo Ganiou
RC Lens • 21 years old
€17.3M
€20.0M
+15.6%
Expected: €20.3M
73.7
Diego Coppola
Paris FC • 22 years old
€15.6M
€18.0M
+15.6%
Expected: €18.3M
72.7
Christian Mawissa
AS Monaco • 21 years old
€13.0M
€15.0M
+15.6%
Expected: €15.2M
70.1
Abdelhamid Ait Boudlal
Stade Rennais FC • 20 years old
€10.4M
€12.0M
+15.6%
Expected: €13.2M
67.0
Kojo Peprah Oppong
OGC Nice • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.1M
61.6
Antoine Mendy
OGC Nice • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.1M
61.6
Juma Bah
OGC Nice • 20 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
61.1
CJ Egan-Riley
Olympique Marseille • 23 years old
€7.8M
€9.0M
+15.6%
Expected: €8.7M
60.6
Ousmane Camara
Angers SCO • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €7.8M
59.1
Sadibou Sané
FC Metz • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €7.1M
57.1
Nidal Celik
RC Lens • 20 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
56.5
Junior Diaz
Stade Brestois 29 • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €5.8M
55.5
Soumaïla Coulibaly
Stade Brestois 29 • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
55.2
Abdoul Koné
Stade Reims • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.6
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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 22 clubs with €356.5M 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 (41 players, 76% of market). The 21-23 age group holds the most value at €288.6M, averaging €7.0M per player.
Top Young Centre-Backs by Age Bracket
U21 Years (13 players)
21-23 Years (41 players)
Market Value Distribution
Elite Tier Concentration
The top 6 Young Centre-Backs (11% of players) control €172.0M
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 22 Ligue 1 clubs, Stade Rennais FC leads with 3 Young Centre-Backs worth €71.5M (averaging €23.8M per player). The top 10 clubs account for 61% of tracked Young Centre-Backs.
Stade Rennais FC (3 Young Centre-Backs)
RC Lens (6 Young Centre-Backs)
OGC Nice (4 Young Centre-Backs)
Paris Saint-Germain (4 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)
Stade Rennais FC's Jérémy Jacquet at 21 years old has the highest Pre-Peak Value Efficiency at 22.00×. That means Jérémy Jacquet is valued 22.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is LOSC Lille's Nathan Ngoy, who is 23 years old, with a 10.00× PPVE. Third is Samson Baidoo of RC Lens, who is 22 years old with a 10.00× 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 22.00× means the player is worth 2100% 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 | Jérémy Jacquet Stade Rennais FC | 21 | 21-23 | €55.0M | €2.5M | 22.00× |
| #2 | Nathan Ngoy LOSC Lille | 23 | 21-23 | €25.0M | €2.5M | 10.00× |
| #3 | Samson Baidoo RC Lens | 22 | 21-23 | €25.0M | €2.5M | 10.00× |
| #4 | Lucas Beraldo Paris Saint-Germain | 22 | 21-23 | €22.0M | €2.5M | 8.80× |
| #5 | Tylel Tati FC Nantes | 18 | U21 | €25.0M | €3.0M | 8.33× |
| #6 | Ismaëlo Ganiou RC Lens | 21 | 21-23 | €20.0M | €2.5M | 8.00× |
| #7 | Ismaël Doukouré RC Strasbourg Alsace | 23 | 21-23 | €20.0M | €2.5M | 8.00× |
| #8 | Diego Coppola Paris FC | 22 | 21-23 | €18.0M | €2.5M | 7.20× |
| #9 | Christian Mawissa AS Monaco | 21 | 21-23 | €15.0M | €2.5M | 6.00× |
| #10 | Kojo Peprah Oppong OGC Nice | 22 | 21-23 | €10.0M | €2.5M | 4.00× |
| #11 | Abdelhamid Ait Boudlal Stade Rennais FC | 20 | U21 | €12.0M | €3.0M | 4.00× |
| #12 | Antoine Mendy OGC Nice | 22 | 21-23 | €10.0M | €2.5M | 4.00× |
| #13 | CJ Egan-Riley Olympique Marseille | 23 | 21-23 | €9.0M | €2.5M | 3.60× |
| #14 | Juma Bah OGC Nice | 20 | U21 | €10.0M | €3.0M | 3.33× |
| #15 | Ousmane Camara Angers SCO | 23 | 21-23 | €8.0M | €2.5M | 3.20× |
| #16 | Sadibou Sané FC Metz | 22 | 21-23 | €7.0M | €2.5M | 2.80× |
| #17 | Junior Diaz Stade Brestois 29 | 23 | 21-23 | €6.0M | €2.5M | 2.40× |
| #18 | Soumaïla Coulibaly Stade Brestois 29 | 22 | 21-23 | €6.0M | €2.5M | 2.40× |
| #19 | Nidal Celik RC Lens | 20 | U21 | €7.0M | €3.0M | 2.33× |
| #20 | Abdoul Koné Stade Reims | 21 | 21-23 | €5.0M | €2.5M | 2.00× |
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)
RC Lens's Kyllian Antonio at 18 years old has the highest Return-to-Peak Potential at +52%. That means Tylel Tati is projected to appreciate 52% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is FC Nantes's Tylel Tati, who is 18 years old, with a +52% RPP (8 years to peak). Third is Naoufel El Hannach of Paris Saint-Germain, who is 19 years old with a +48% 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 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 | Kyllian Antonio RC Lens | 18 | 8 | €3.0M | €6.2M | +52% |
| #2 | Tylel Tati FC Nantes | 18 | 8 | €25.0M | €51.7M | +52% |
| #3 | Naoufel El Hannach Paris Saint-Germain | 19 | 7 | €1.2M | €2.3M | +48% |
| #4 | Amidou Doumbouya OGC Nice | 19 | 7 | €200K | €384K | +48% |
| #5 | Seny Koumbassa FC Toulouse | 19 | 7 | €5.0M | €9.6M | +48% |
| #6 | Isaac Cossier LOSC Lille | 19 | 7 | €200K | €384K | +48% |
| #7 | Noham Kamara Paris Saint-Germain | 19 | 7 | €3.0M | €5.8M | +48% |
| #8 | Abdelhamid Ait Boudlal Stade Rennais FC | 20 | 6 | €12.0M | €21.4M | +44% |
| #9 | Raphaël Le Guen Stade Brestois 29 | 20 | 6 | €800K | €1.4M | +44% |
| #10 | Nidal Celik RC Lens | 20 | 6 | €7.0M | €12.5M | +44% |
| #11 | Yoni Gomis RC Strasbourg Alsace | 20 | 6 | €350K | €625K | +44% |
| #12 | Juma Bah OGC Nice | 20 | 6 | €10.0M | €17.9M | +44% |
| #13 | Anthony Khelifa AC Ajaccio | 20 | 6 | €150K | €268K | +44% |
| #14 | Jérémy Jacquet Stade Rennais FC | 21 | 5 | €55.0M | €91.4M | +40% |
| #15 | Christian Mawissa AS Monaco | 21 | 5 | €15.0M | €24.9M | +40% |
| #16 | Telli Siwe AJ Auxerre | 21 | 5 | €1.0M | €1.7M | +40% |
| #17 | Souleymane Sagnan RC Lens | 21 | 5 | €400K | €665K | +40% |
| #18 | Abdoulaye Faye FC Lorient | 21 | 5 | €4.5M | €7.5M | +40% |
| #19 | Rony Mimb Baheng Olympique Marseille | 21 | 5 | €300K | €499K | +40% |
| #20 | Nehemiah Fernandez Paris Saint-Germain | 21 | 5 | €250K | €415K | +40% |
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 61.2. That means Kyllian Antonio has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FC Nantes's Tylel Tati with a 61.2 RAU (16% upside, 0% uncertainty). Third is Yoni Gomis of RC Strasbourg Alsace with a 40.4 RAU (10% 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 | Kyllian Antonio RC Lens | €3.5M | €3.1M-3.9M | +16% | 61.2 |
| #2 | Tylel Tati FC Nantes | €29.1M | €25.7M-32.4M | +16% | 61.2 |
| #3 | Yoni Gomis RC Strasbourg Alsace | €386K | €341K-430K | +10% | 40.4 |
| #4 | Abdelhamid Ait Boudlal Stade Rennais FC | €13.2M | €11.7M-14.8M | +10% | 40.4 |
| #5 | Noham Kamara Paris Saint-Germain | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #6 | Seny Koumbassa FC Toulouse | €5.5M | €4.9M-6.1M | +10% | 40.4 |
| #7 | Juma Bah OGC Nice | €11.0M | €9.8M-12.3M | +10% | 40.4 |
| #8 | Naoufel El Hannach Paris Saint-Germain | €1.3M | €1.2M-1.5M | +10% | 40.4 |
| #9 | Anthony Khelifa AC Ajaccio | €165K | €146K-184K | +10% | 40.4 |
| #10 | Nidal Celik RC Lens | €7.7M | €6.8M-8.6M | +10% | 40.4 |
| #11 | Amidou Doumbouya OGC Nice | €221K | €195K-246K | +10% | 40.4 |
| #12 | Isaac Cossier LOSC Lille | €221K | €195K-246K | +10% | 40.4 |
| #13 | Raphaël Le Guen Stade Brestois 29 | €882K | €781K-983K | +10% | 40.4 |
| #14 | Kojo Peprah Oppong OGC Nice | €10.1M | €9.1M-11.2M | +1% | 7.0 |
| #15 | Antoine Mendy OGC Nice | €10.1M | €9.1M-11.2M | +1% | 7.0 |
| #16 | Samson Baidoo RC Lens | €25.4M | €22.8M-27.9M | +1% | 7.0 |
| #17 | Sadibou Sané FC Metz | €7.1M | €6.4M-7.8M | +1% | 7.0 |
| #18 | Diego Coppola Paris FC | €18.3M | €16.4M-20.1M | +1% | 7.0 |
| #19 | Mikayil Faye Stade Rennais FC | €4.6M | €4.1M-5.0M | +1% | 7.0 |
| #20 | Victor Mayela AJ Auxerre | €203K | €183K-223K | +1% | 7.0 |
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: 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 +5.0%. That means Jérémy Jacquet captures 81.0% of total market value while representing only 75.9% of players in their age group-showing dominant elite status.
In second is AS Monaco's Christian Mawissa with a +5.0% ASC (81.0% value share vs 75.9% player share in 21-23 bracket). Third is Junior Diaz of Stade Brestois 29 with a +5.0% ASC (81.0% value vs 75.9% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +5.0% ASC means the player captures 5.0% 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 | 81.0% | 75.9% | +5.0% |
| #2 | Christian Mawissa AS Monaco | 21-23 | 81.0% | 75.9% | +5.0% |
| #3 | Junior Diaz Stade Brestois 29 | 21-23 | 81.0% | 75.9% | +5.0% |
| #4 | Ismaëlo Ganiou RC Lens | 21-23 | 81.0% | 75.9% | +5.0% |
| #5 | Franci Bouebari RC Strasbourg Alsace | 21-23 | 81.0% | 75.9% | +5.0% |
| #6 | Michel Mboula FC Metz | 21-23 | 81.0% | 75.9% | +5.0% |
| #7 | Emmanuel Biumla Angers SCO | 21-23 | 81.0% | 75.9% | +5.0% |
| #8 | Telli Siwe AJ Auxerre | 21-23 | 81.0% | 75.9% | +5.0% |
| #9 | Sadibou Sané FC Metz | 21-23 | 81.0% | 75.9% | +5.0% |
| #10 | Kojo Peprah Oppong OGC Nice | 21-23 | 81.0% | 75.9% | +5.0% |
| #11 | Abdoul Koné Stade Reims | 21-23 | 81.0% | 75.9% | +5.0% |
| #12 | Souleymane Sagnan RC Lens | 21-23 | 81.0% | 75.9% | +5.0% |
| #13 | Abdoulaye Faye FC Lorient | 21-23 | 81.0% | 75.9% | +5.0% |
| #14 | Rony Mimb Baheng Olympique Marseille | 21-23 | 81.0% | 75.9% | +5.0% |
| #15 | Bryan Okoh AJ Auxerre | 21-23 | 81.0% | 75.9% | +5.0% |
| #16 | Nathan Ngoy LOSC Lille | 21-23 | 81.0% | 75.9% | +5.0% |
| #17 | CJ Egan-Riley Olympique Marseille | 21-23 | 81.0% | 75.9% | +5.0% |
| #18 | Lenny Lacroix FC Metz | 21-23 | 81.0% | 75.9% | +5.0% |
| #19 | Samson Baidoo RC Lens | 21-23 | 81.0% | 75.9% | +5.0% |
| #20 | Soumaïla Coulibaly Stade Brestois 29 | 21-23 | 81.0% | 75.9% | +5.0% |
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: 2 immediate targets, 11 standard acquisitions, 41 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
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 €400K. 0 undervalued, 5 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Seny Koumbassa FC Toulouse | €5.0M | €2.5M | -1.00 | Good Value |
Abdoul Koné Stade Reims | €5.0M | €2.5M | -0.75 | Good Value |
Christian Mawissa AS Monaco | €15.0M | €2.5M | -0.71 | Good Value |
Nidal Celik RC Lens | €7.0M | €2.5M | -0.60 | Good Value |
Junior Diaz Stade Brestois 29 | €6.0M | €2.5M | -0.50 | Fair Value |
Soumaïla Coulibaly Stade Brestois 29 | €6.0M | €2.5M | -0.50 | Fair Value |
Tijany Atallah FC Girondins Bordeaux | €150K | €2.5M | -0.35 | Fair Value |
Daylam Meddah Angers SCO | €150K | €2.5M | -0.35 | Fair Value |
Sékou Doucouré FC Nantes | €150K | €2.5M | -0.35 | Fair Value |
Josué Escartin Stade Brestois 29 | €150K | €2.5M | -0.35 | Fair Value |
Ritchy Valme AS Monaco | €200K | €2.5M | -0.30 | Fair Value |
Victor Mayela AJ Auxerre | €200K | €2.5M | -0.30 | Fair Value |
Eric N'Jo ESTAC Troyes | €200K | €2.5M | -0.30 | Fair Value |
Diego Coppola Paris FC | €18.0M | €2.5M | -0.29 | Fair Value |
Franci Bouebari RC Strasbourg Alsace | €250K | €2.5M | -0.25 | Fair Value |
Sadibou Sané FC Metz | €7.0M | €2.5M | -0.25 | Fair Value |
Nehemiah Fernandez Paris Saint-Germain | €250K | €2.5M | -0.25 | Fair Value |
Anthony Khelifa AC Ajaccio | €150K | €2.5M | -0.23 | Fair Value |
Amidou Doumbouya OGC Nice | €200K | €2.5M | -0.21 | Fair Value |
Isaac Cossier LOSC Lille | €200K | €2.5M | -0.21 | Fair Value |
Market Overview: Ligue 1 Young Centre-Backs 2026-27
Our database tracked 54 Ligue 1 Young Centre-Backs in the 2026-27 season, representing 22 clubs with a combined market value of €356.5M. The average market value for Ligue 1 Young Centre-Backs was €6.6M, with the average age at 21 years old.
The most valuable young centre-back in the Ligue 1 was Jérémy Jacquet, worth €55.0M and played for Stade Rennais FC at 21 years old. The top 5 Young Centre-Backs averaged €30.4M in market value, including Nathan Ngoy and Samson Baidoo.
Age distribution showed the youngest tracked young centre-back was Tylel Tati (18 years, FC Nantes, €25.0M), while the oldest was Nathan Ngoy (23 years, LOSC Lille, €25.0M). Research shows Young Centre-Backs typically peak at age 28.
Historical analysis showed 39 Young Centre-Backs (72%) 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 2026-27 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 28 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: 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 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 2026-27 season
Who are the most valuable Young Centre-Backs in the Ligue 1 in 2026-27?
The most valuable young centre-back in the Ligue 1 in 2026-27 is Jérémy Jacquet, who is worth €55.0M and plays for Stade Rennais FC. The second most valuable is Nathan Ngoy (€25.0M, LOSC Lille), followed by Samson Baidoo (€25.0M, RC Lens). Our database tracks 54 Ligue 1 Young Centre-Backs with comprehensive market valuations updated for the 2026-27 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 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 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 Jérémy Jacquet (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 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 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 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 2026-27 season to ensure accuracy for recruitment and investment decisions.