Best Centre-Backs in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Ligue 1 Centre-Backs 2022-23
Our database tracked 76 Ligue 1 Centre-Backs in the 2022-23 season, representing 23 clubs with a combined market value of €674.0M. The average market value for Ligue 1 Centre-Backs was €8.9M, with the average age at 26.1 years old.
The most valuable centre-back in the Ligue 1 was Willian Pacho, worth €70.0M and played for Paris Saint-Germain at 24 years old. The top 5 Centre-Backs averaged €39.4M in market value, including Ilya Zabarnyi and Marquinhos.
Age distribution showed the youngest tracked centre-back was Lucas Høgsberg (19 years, RC Strasbourg Alsace, €12.0M), while the oldest was Abdoulaye Bamba (36 years, Angers SCO, €250K). Research shows Centre-Backs typically peak at age 27.
Historical analysis showed 37 Centre-Backs (49%) 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 Centre-Backs remained highly competitive with significant transfer activity in the 2022-23 season.
💡 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.
Explore Market Size by Position in Ligue 1
Interactive bubble chart showing predicted 2-year growth vs current age for all Ligue 1 Centre-Backs. Identify undervalued assets and track market momentum across 23 clubs with €674.0M combined value.
Age Distribution: Ligue 1 Centre-Backs
The Ligue 1 CB market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (22 players, 29% of market). The 21-23 age group holds the most value at €197.8M, averaging €9.0M per player.
Top Centre-Backs by Age Bracket
U21 Years (5 players)
21-23 Years (22 players)
24-26 Years (14 players)
27-29 Years (17 players)
Market Value Distribution
Elite Tier Concentration
The top 8 Centre-Backs (11% of players) control €257.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Ligue 1 CB pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Ligue 1 Centre-Backs
Among 23 Ligue 1 clubs, Paris Saint-Germain leads with 4 Centre-Backs worth €170.0M (averaging €42.5M per player). The top 10 clubs account for 59% of tracked Centre-Backs.
Paris Saint-Germain (4 Centre-Backs)
Olympique Marseille (5 Centre-Backs)
RC Strasbourg Alsace (6 Centre-Backs)
AS Monaco (5 Centre-Backs)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Willian Pacho
Paris Saint-Germain • 24 years old
€60.5M
€70.0M
+15.6%
Expected: €74.6M
92.9
Ilya Zabarnyi
Paris Saint-Germain • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €55.7M
89.2
Marquinhos
Paris Saint-Germain • 32 years old
€38.7M
€30.0M
-22.6%
Expected: €26.3M
78.5
Mamadou Sarr
RC Strasbourg Alsace • 20 years old
€21.6M
€25.0M
+15.6%
Expected: €28.7M
75.0
Nayef Aguerd
Olympique Marseille • 30 years old
€28.4M
€22.0M
-22.6%
Expected: €18.2M
74.2
Lucas Beraldo
Paris Saint-Germain • 22 years old
€17.3M
€20.0M
+15.6%
Expected: €21.2M
73.6
Benjamin Pavard
Olympique Marseille • 30 years old
€25.8M
€20.0M
-22.6%
Expected: €16.6M
73.0
Facundo Medina
Olympique Marseille • 27 years old
€21.1M
€20.0M
-5.4%
Expected: €17.5M
72.7
Leonardo Balerdi
Olympique Marseille • 27 years old
€21.1M
€20.0M
-5.4%
Expected: €17.5M
72.7
Alexsandro
LOSC Lille • 26 years old
€17.3M
€20.0M
+15.6%
Expected: €20.6M
72.6
Jérémy Jacquet
Stade Rennais FC • 20 years old
€17.3M
€20.0M
+15.6%
Expected: €22.9M
72.2
Ismaël Doukouré
RC Strasbourg Alsace • 22 years old
€15.6M
€18.0M
+15.6%
Expected: €19.1M
72.1
Thilo Kehrer
AS Monaco • 29 years old
€23.2M
€18.0M
-22.6%
Expected: €14.9M
71.6
Charlie Cresswell
FC Toulouse • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €16.1M
70.4
Moussa Niakhaté
Olympique Lyon • 30 years old
€19.4M
€15.0M
-22.6%
Expected: €12.4M
69.5
Christian Mawissa
AS Monaco • 21 years old
€13.0M
€15.0M
+15.6%
Expected: €16.5M
69.2
CJ Egan-Riley
Olympique Marseille • 23 years old
€10.4M
€12.0M
+15.6%
Expected: €12.8M
67.7
Wout Faes
AS Monaco • 28 years old
€15.5M
€12.0M
-22.6%
Expected: €10.5M
66.5
Lucas Høgsberg
RC Strasbourg Alsace • 19 years old
€10.4M
€12.0M
+15.6%
Expected: €14.3M
65.2
Otávio
Paris FC • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
61.3
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 10.00×. That means Ilya Zabarnyi is valued 10.00× 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 Willian Pacho, who is 24 years old, with a 8.75× PPVE. Third is Lucas Beraldo of Paris Saint-Germain, who is 22 years old with a 4.00× 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 10.00× means the player is worth 900% 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 | €5.0M | 10.00× |
| #2 | Willian Pacho Paris Saint-Germain | 24 | 24-26 | €70.0M | €8.0M | 8.75× |
| #3 | Lucas Beraldo Paris Saint-Germain | 22 | 21-23 | €20.0M | €5.0M | 4.00× |
| #4 | Ismaël Doukouré RC Strasbourg Alsace | 22 | 21-23 | €18.0M | €5.0M | 3.60× |
| #5 | Christian Mawissa AS Monaco | 21 | 21-23 | €15.0M | €5.0M | 3.00× |
| #6 | Charlie Cresswell FC Toulouse | 23 | 21-23 | €15.0M | €5.0M | 3.00× |
| #7 | CJ Egan-Riley Olympique Marseille | 23 | 21-23 | €12.0M | €5.0M | 2.40× |
| #8 | Mamadou Sarr RC Strasbourg Alsace | 20 | U21 | €25.0M | €12.0M | 2.08× |
| #9 | Nathan Ngoy LOSC Lille | 22 | 21-23 | €10.0M | €5.0M | 2.00× |
| #10 | Diego Coppola Paris FC | 22 | 21-23 | €10.0M | €5.0M | 2.00× |
| #11 | Jérémy Jacquet Stade Rennais FC | 20 | U21 | €20.0M | €12.0M | 1.67× |
| #12 | Andrew Omobamidele RC Strasbourg Alsace | 23 | 21-23 | €7.0M | €5.0M | 1.40× |
| #13 | Soumaïla Coulibaly Stade Brestois 29 | 22 | 21-23 | €7.0M | €5.0M | 1.40× |
| #14 | Otávio Paris FC | 24 | 24-26 | €10.0M | €8.0M | 1.25× |
| #15 | Anthony Rouault Stade Rennais FC | 25 | 24-26 | €9.0M | €8.0M | 1.13× |
| #16 | Junior Diaz Stade Brestois 29 | 22 | 21-23 | €5.0M | €5.0M | 1.00× |
| #17 | Arouna Sangante Le Havre AC | 24 | 24-26 | €8.0M | €8.0M | 1.00× |
| #18 | Clément Akpa AJ Auxerre | 24 | 24-26 | €8.0M | €8.0M | 1.00× |
| #19 | Lucas Høgsberg RC Strasbourg Alsace | 19 | U21 | €12.0M | €12.0M | 1.00× |
| #20 | Sadibou Sané FC Metz | 21 | 21-23 | €4.0M | €5.0M | 0.80× |
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 Nidal Celik at 19 years old has the highest Return-to-Peak Potential at +40%. That means Nidal Celik is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.
In second is RC Strasbourg Alsace's Lucas Høgsberg, who is 19 years old, with a +40% RPP (7 years to peak). Third is Jérémy Jacquet of Stade Rennais FC, who is 20 years old with a +35% RPP (6 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 40% RPP means the player is expected to gain 40% 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 | Nidal Celik RC Lens | 19 | 7 | €1.0M | €1.7M | +40% |
| #2 | Lucas Høgsberg RC Strasbourg Alsace | 19 | 7 | €12.0M | €19.9M | +40% |
| #3 | Jérémy Jacquet Stade Rennais FC | 20 | 6 | €20.0M | €30.9M | +35% |
| #4 | Juma Bah OGC Nice | 20 | 6 | €7.0M | €10.8M | +35% |
| #5 | Mamadou Sarr RC Strasbourg Alsace | 20 | 6 | €25.0M | €38.6M | +35% |
| #6 | Sadibou Sané FC Metz | 21 | 5 | €4.0M | €5.7M | +30% |
| #7 | Ousmane Touré LOSC Lille | 21 | 5 | €500K | €719K | +30% |
| #8 | Christian Mawissa AS Monaco | 21 | 5 | €15.0M | €21.6M | +30% |
| #9 | Ismaëlo Ganiou RC Lens | 21 | 5 | €3.0M | €4.3M | +30% |
| #10 | Emmanuel Biumla Angers SCO | 21 | 5 | €3.0M | €4.3M | +30% |
| #11 | Junior Diaz Stade Brestois 29 | 22 | 4 | €5.0M | €6.7M | +25% |
| #12 | Nathan Ngoy LOSC Lille | 22 | 4 | €10.0M | €13.4M | +25% |
| #13 | Diego Coppola Paris FC | 22 | 4 | €10.0M | €13.4M | +25% |
| #14 | Lucas Beraldo Paris Saint-Germain | 22 | 4 | €20.0M | €26.7M | +25% |
| #15 | Soumaïla Coulibaly Stade Brestois 29 | 22 | 4 | €7.0M | €9.4M | +25% |
| #16 | Antoine Mendy OGC Nice | 22 | 4 | €4.0M | €5.3M | +25% |
| #17 | Ismaël Doukouré RC Strasbourg Alsace | 22 | 4 | €18.0M | €24.1M | +25% |
| #18 | CJ Egan-Riley Olympique Marseille | 23 | 3 | €12.0M | €14.9M | +20% |
| #19 | Saïdou Sow RC Strasbourg Alsace | 23 | 3 | €3.0M | €3.7M | +20% |
| #20 | Abakar Sylla RC Strasbourg Alsace | 23 | 3 | €3.0M | €3.7M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
RC Lens's Nidal Celik has the highest Risk-Adjusted Upside at 58.0. That means Nidal Celik has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is RC Strasbourg Alsace's Lucas Høgsberg with a 58.0 RAU (19% upside, 0% uncertainty). Third is Mamadou Sarr of RC Strasbourg Alsace with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 58.0 means the upside is 58.0× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Nidal Celik RC Lens | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #2 | Lucas Høgsberg RC Strasbourg Alsace | €14.3M | €12.3M-16.3M | +19% | 58.0 |
| #3 | Mamadou Sarr RC Strasbourg Alsace | €28.7M | €24.7M-32.6M | +15% | 46.3 |
| #4 | Jérémy Jacquet Stade Rennais FC | €22.9M | €19.8M-26.1M | +15% | 46.3 |
| #5 | Juma Bah OGC Nice | €8.0M | €6.9M-9.1M | +15% | 46.3 |
| #6 | Ilya Zabarnyi Paris Saint-Germain | €55.7M | €49.0M-62.4M | +11% | 42.8 |
| #7 | Ismaëlo Ganiou RC Lens | €3.3M | €2.9M-3.8M | +10% | 33.7 |
| #8 | Emmanuel Biumla Angers SCO | €3.3M | €2.9M-3.8M | +10% | 33.7 |
| #9 | Christian Mawissa AS Monaco | €16.5M | €14.3M-18.8M | +10% | 33.7 |
| #10 | Sadibou Sané FC Metz | €4.4M | €3.8M-5.0M | +10% | 33.7 |
| #11 | Ousmane Touré LOSC Lille | €551K | €475K-627K | +10% | 33.7 |
| #12 | Ousmane Camara Angers SCO | €4.3M | €3.8M-4.8M | +7% | 27.5 |
| #13 | Charlie Cresswell FC Toulouse | €16.1M | €14.1M-18.0M | +7% | 27.5 |
| #14 | Nathaniel Adjei FC Lorient | €1.3M | €1.1M-1.4M | +7% | 27.5 |
| #15 | Rafael Fernandes LOSC Lille | €642K | €565K-719K | +7% | 27.5 |
| #16 | Isaak Touré FC Lorient | €2.7M | €2.4M-3.0M | +7% | 27.5 |
| #17 | Andrew Omobamidele RC Strasbourg Alsace | €7.5M | €6.6M-8.4M | +7% | 27.5 |
| #18 | CJ Egan-Riley Olympique Marseille | €12.8M | €11.3M-14.4M | +7% | 27.5 |
| #19 | Saïdou Sow RC Strasbourg Alsace | €3.2M | €2.8M-3.6M | +7% | 27.5 |
| #20 | Abakar Sylla RC Strasbourg Alsace | €3.2M | €2.8M-3.6M | +7% | 27.5 |
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: 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)
OGC Nice's Moïse Bombito in the 24-26 age bracket has the highest Age-Share Concentration at +6.4%. That means Willian Pacho captures 24.9% of total market value while representing only 18.4% of players in their age group—showing dominant elite status.
In second is Stade Rennais FC's Lilian Brassier with a +6.4% ASC (24.9% value share vs 18.4% player share in 24-26 bracket). Third is Ruben Kluivert of Olympique Lyon with a +6.4% ASC (24.9% value vs 18.4% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +6.4% ASC means the player captures 6.4% 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 | Moïse Bombito OGC Nice | 24-26 | 24.9% | 18.4% | +6.4% |
| #2 | Lilian Brassier Stade Rennais FC | 24-26 | 24.9% | 18.4% | +6.4% |
| #3 | Ruben Kluivert Olympique Lyon | 24-26 | 24.9% | 18.4% | +6.4% |
| #4 | Étienne Youté Kinkoué Le Havre AC | 24-26 | 24.9% | 18.4% | +6.4% |
| #5 | Alexsandro LOSC Lille | 24-26 | 24.9% | 18.4% | +6.4% |
| #6 | Moustapha Mbow Paris FC | 24-26 | 24.9% | 18.4% | +6.4% |
| #7 | Willian Pacho Paris Saint-Germain | 24-26 | 24.9% | 18.4% | +6.4% |
| #8 | Anthony Rouault Stade Rennais FC | 24-26 | 24.9% | 18.4% | +6.4% |
| #9 | Sinaly Diomandé AJ Auxerre | 24-26 | 24.9% | 18.4% | +6.4% |
| #10 | Arouna Sangante Le Havre AC | 24-26 | 24.9% | 18.4% | +6.4% |
| #11 | Alidu Seidu Stade Rennais FC | 24-26 | 24.9% | 18.4% | +6.4% |
| #12 | Clément Akpa AJ Auxerre | 24-26 | 24.9% | 18.4% | +6.4% |
| #13 | Bamo Meïté FC Lorient | 24-26 | 24.9% | 18.4% | +6.4% |
| #14 | Otávio Paris FC | 24-26 | 24.9% | 18.4% | +6.4% |
| #15 | Jonathan Gradit RC Lens | 30+ | 17.4% | 23.7% | -6.3% |
| #16 | Uros Radakovic FC Nantes | 30+ | 17.4% | 23.7% | -6.3% |
| #17 | Eric Dier AS Monaco | 30+ | 17.4% | 23.7% | -6.3% |
| #18 | Marquinhos Paris Saint-Germain | 30+ | 17.4% | 23.7% | -6.3% |
| #19 | Jean-Philippe Gbamin FC Metz | 30+ | 17.4% | 23.7% | -6.3% |
| #20 | Clinton Mata Olympique Lyon | 30+ | 17.4% | 23.7% | -6.3% |
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, 26 standard acquisitions, 0 watch-list prospects, 25 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
Price vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
What This Shows
How to use: Z-score < -1.5 = significantly undervalued (potential bargain). Z-score > +1.5 = premium pricing (requires strong justification). Within ±1.0 = fair market value.
Current market: Position median is €1.0M. 1 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Junior Diaz Stade Brestois 29 | €5.0M | €5.0M | -1.67 | Undervalued |
Ruben Kluivert Olympique Lyon | €2.5M | €5.0M | -1.50 | Good Value |
Moustapha Mbow Paris FC | €5.0M | €5.0M | -1.50 | Good Value |
Jérémy Jacquet Stade Rennais FC | €20.0M | €5.0M | -1.00 | Good Value |
Juma Bah OGC Nice | €7.0M | €5.0M | -1.00 | Good Value |
Thilo Kehrer AS Monaco | €18.0M | €5.0M | -1.00 | Good Value |
Brendan Chardonnet Stade Brestois 29 | €5.0M | €5.0M | -1.00 | Good Value |
Andrew Omobamidele RC Strasbourg Alsace | €7.0M | €5.0M | -1.00 | Good Value |
Étienne Youté Kinkoué Le Havre AC | €3.0M | €5.0M | -1.00 | Good Value |
Soumaïla Coulibaly Stade Brestois 29 | €7.0M | €5.0M | -1.00 | Good Value |
Alidu Seidu Stade Rennais FC | €6.0M | €5.0M | -1.00 | Good Value |
Ousmane Touré LOSC Lille | €500K | €5.0M | -0.89 | Good Value |
Rafael Fernandes LOSC Lille | €600K | €5.0M | -0.86 | Good Value |
Rasmus Nicolaisen FC Toulouse | €5.0M | €5.0M | -0.75 | Good Value |
Moussa Niakhaté Olympique Lyon | €15.0M | €5.0M | -0.71 | Good Value |
Nathaniel Adjei FC Lorient | €1.2M | €5.0M | -0.64 | Good Value |
Christian Mawissa AS Monaco | €15.0M | €5.0M | -0.60 | Good Value |
Charlie Cresswell FC Toulouse | €15.0M | €5.0M | -0.60 | Good Value |
Mark McKenzie FC Toulouse | €6.0M | €5.0M | -0.50 | Fair Value |
Kelyan Guessoum MC Oran | €250K | €5.0M | -0.46 | Fair Value |