Best Players (All Positions) in the Ligue 1 (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Ligue 1 Players (All Positions) 2025-26
Our database tracks 394 Ligue 1 Players (All Positions) in the 2025-26 season, representing 24 clubs with a combined market value of €3.3B. The average market value for Ligue 1 Players (All Positions) is €8.5M, with the average age at 25.9 years old.
The most valuable player in the Ligue 1 is Khvicha Kvaratskhelia, worth €90.0M and playing for Paris Saint-Germain at 24 years old. The top 5 Players (All Positions) average €82.0M in market value, including Vitinha and Achraf Hakimi.
Age distribution shows the youngest tracked player is Ayyoub Bouaddi (18 years, LOSC Lille, €28.0M), while the oldest is Steve Mandanda (40 years, Stade Rennais FC, €500K). Research shows Players (All Positions) typically peak at age 26-27.
Our 1-year forecast model projects 242 Players (All Positions) (61%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Ligue 1 market for Players (All Positions) remains highly competitive with significant transfer activity expected in the 2025-26 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 Players (All Positions). Identify undervalued assets and track market momentum across 24 clubs with €3.3B combined value.
Age Distribution: Ligue 1 Players (All Positions)
The Ligue 1 ALL market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (90 players, 23% of market). The 24-26 age group holds the most value at €1.0B, averaging €12.0M per player.
Top Players (All Positions) by Age Bracket
U21 Years (53 players)
21-23 Years (88 players)
24-26 Years (87 players)
27-29 Years (76 players)
Market Value Distribution
Elite Tier Concentration
The top 40 Players (All Positions) (10% of players) control €1.6B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Ligue 1 ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Ligue 1 Players (All Positions)
Among 24 Ligue 1 clubs, Paris Saint-Germain leads with 21 Players (All Positions) worth €1.1B (averaging €50.8M per player). The top 10 clubs account for 58% of tracked Players (All Positions).
Paris Saint-Germain (21 Players (All Positions))
Olympique Marseille (26 Players (All Positions))
AS Monaco (25 Players (All Positions))
RC Strasbourg Alsace (25 Players (All Positions))
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Khvicha Kvaratskhelia
Paris Saint-Germain • 24 years old
€77.8M
€90.0M
+15.6%
Expected: €104.0M
94.2
Vitinha
Paris Saint-Germain • 25 years old
€69.2M
€80.0M
+15.6%
Expected: €92.5M
94.0
Achraf Hakimi
Paris Saint-Germain • 26 years old
€69.2M
€80.0M
+15.6%
Expected: €85.7M
93.4
Ousmane Dembélé
Paris Saint-Germain • 28 years old
€90.0M
€90.0M
+0.0%
Expected: €88.9M
92.7
Bradley Barcola
Paris Saint-Germain • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €84.6M
92.0
Nuno Mendes
Paris Saint-Germain • 23 years old
€60.5M
€70.0M
+15.6%
Expected: €84.6M
92.0
João Neves
Paris Saint-Germain • 21 years old
€69.2M
€80.0M
+15.6%
Expected: €105.1M
91.2
Willian Pacho
Paris Saint-Germain • 24 years old
€56.2M
€65.0M
+15.6%
Expected: €75.1M
91.0
Désiré Doué
Paris Saint-Germain • 20 years old
€77.8M
€90.0M
+15.6%
Expected: €122.9M
90.9
Maghnes Akliouche
AS Monaco • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €54.4M
86.3
Ilya Zabarnyi
Paris Saint-Germain • 23 years old
€36.3M
€42.0M
+15.6%
Expected: €50.7M
85.6
Gonçalo Ramos
Paris Saint-Germain • 24 years old
€34.6M
€40.0M
+15.6%
Expected: €46.2M
85.0
Mason Greenwood
Olympique Marseille • 24 years old
€34.6M
€40.0M
+15.6%
Expected: €46.2M
84.8
Warren Zaïre-Emery
Paris Saint-Germain • 19 years old
€47.6M
€55.0M
+15.6%
Expected: €78.0M
84.6
Igor Paixão
Olympique Marseille • 25 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
83.2
Fabián Ruiz
Paris Saint-Germain • 29 years old
€40.0M
€40.0M
+0.0%
Expected: €39.5M
82.8
Marquinhos
Paris Saint-Germain • 31 years old
€35.0M
€35.0M
+0.0%
Expected: €34.6M
79.7
Denis Zakaria
AS Monaco • 28 years old
€30.0M
€30.0M
+0.0%
Expected: €28.6M
77.9
Amine Gouiri
Olympique Marseille • 25 years old
€25.9M
€30.0M
+15.6%
Expected: €31.8M
77.7
Lucas Chevalier
Paris Saint-Germain • 23 years old
€25.9M
€30.0M
+15.6%
Expected: €39.4M
76.8
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 Désiré Doué at 20 years old has the highest Pre-Peak Value Efficiency at 36.00×. That means Désiré Doué is valued 36.00× higher than the median player in the U21 age bracket—representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's Warren Zaïre-Emery, who is 19 years old, with a 22.00× PPVE. Third is João Neves of Paris Saint-Germain, who is 21 years old with a 16.00× 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 36.00× means the player is worth 3500% 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 | Désiré Doué Paris Saint-Germain | 20 | U21 | €90.0M | €2.5M | 36.00× |
| #2 | Warren Zaïre-Emery Paris Saint-Germain | 19 | U21 | €55.0M | €2.5M | 22.00× |
| #3 | João Neves Paris Saint-Germain | 21 | 21-23 | €80.0M | €5.0M | 16.00× |
| #4 | Khvicha Kvaratskhelia Paris Saint-Germain | 24 | 24-26 | €90.0M | €6.0M | 15.00× |
| #5 | Nuno Mendes Paris Saint-Germain | 23 | 21-23 | €70.0M | €5.0M | 14.00× |
| #6 | Bradley Barcola Paris Saint-Germain | 23 | 21-23 | €70.0M | €5.0M | 14.00× |
| #7 | Vitinha Paris Saint-Germain | 25 | 24-26 | €80.0M | €6.0M | 13.33× |
| #8 | Malick Fofana Olympique Lyon | 20 | U21 | €30.0M | €2.5M | 12.00× |
| #9 | Ayyoub Bouaddi LOSC Lille | 18 | U21 | €28.0M | €2.5M | 11.20× |
| #10 | Willian Pacho Paris Saint-Germain | 24 | 24-26 | €65.0M | €6.0M | 10.83× |
| #11 | Maghnes Akliouche AS Monaco | 23 | 21-23 | €45.0M | €5.0M | 9.00× |
| #12 | Arthur Vermeeren Olympique Marseille | 20 | U21 | €22.0M | €2.5M | 8.80× |
| #13 | Ilya Zabarnyi Paris Saint-Germain | 23 | 21-23 | €42.0M | €5.0M | 8.40× |
| #14 | Mamadou Sarr RC Strasbourg Alsace | 20 | U21 | €20.0M | €2.5M | 8.00× |
| #15 | Guillaume Restes FC Toulouse | 20 | U21 | €20.0M | €2.5M | 8.00× |
| #16 | Mason Greenwood Olympique Marseille | 24 | 24-26 | €40.0M | €6.0M | 6.67× |
| #17 | Gonçalo Ramos Paris Saint-Germain | 24 | 24-26 | €40.0M | €6.0M | 6.67× |
| #18 | George Ilenikhena AS Monaco | 19 | U21 | €15.0M | €2.5M | 6.00× |
| #19 | Christian Mawissa AS Monaco | 20 | U21 | €15.0M | €2.5M | 6.00× |
| #20 | Ngal'ayel Mukau LOSC Lille | 20 | U21 | €15.0M | €2.5M | 6.00× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Paris Saint-Germain's Renato Marin has the highest Risk-Adjusted Upside at 184.5. That means Renato Marin has 51% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is FC Toulouse's Guillaume Restes with a 172.2 RAU (46% upside, 0% uncertainty). Third is Robin Risser of RC Lens with a 172.2 RAU (46% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 184.5 means the upside is 184.5× 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 | Renato Marin Paris Saint-Germain | €757K | €687K-827K | +51% | 184.5 |
| #2 | Guillaume Restes FC Toulouse | €29.3M | €26.6M-32.0M | +46% | 172.2 |
| #3 | Robin Risser RC Lens | €2.2M | €2.0M-2.4M | +46% | 172.2 |
| #4 | Mike Penders RC Strasbourg Alsace | €17.6M | €15.9M-19.2M | +46% | 172.2 |
| #5 | Stefan Bajic RC Strasbourg Alsace | €1.0M | €966K-1.1M | +31% | 148.7 |
| #6 | Melvin Zinga Angers SCO | €394K | €362K-425K | +31% | 148.7 |
| #7 | Ousmane Ba FC Metz | €197K | €181K-213K | +31% | 148.7 |
| #8 | Lucas Chevalier Paris Saint-Germain | €39.4M | €36.2M-42.5M | +31% | 148.7 |
| #9 | Théo De Percin AJ Auxerre | €379K | €348K-409K | +26% | 129.7 |
| #10 | Radoslaw Majecki Stade Brestois 29 | €7.3M | €6.7M-7.8M | +21% | 109.0 |
| #11 | Berke Özer LOSC Lille | €7.3M | €6.7M-7.8M | +21% | 109.0 |
| #12 | Yehvann Diouf OGC Nice | €14.5M | €13.4M-15.7M | +21% | 109.0 |
| #13 | Warren Zaïre-Emery Paris Saint-Germain | €78.0M | €67.2M-88.8M | +42% | 106.9 |
| #14 | Rabby Nzingoula RC Strasbourg Alsace | €3.5M | €3.0M-4.0M | +41% | 105.9 |
| #15 | Kader Meïté Stade Rennais FC | €7.1M | €6.1M-8.0M | +41% | 105.9 |
| #16 | Ethan Mbappé LOSC Lille | €7.1M | €6.1M-8.0M | +41% | 105.9 |
| #17 | Ayyoub Bouaddi LOSC Lille | €39.6M | €34.1M-45.0M | +41% | 105.9 |
| #18 | Hamidou Makalou Stade Brestois 29 | €424K | €365K-482K | +41% | 105.9 |
| #19 | Fodé Sylla RC Lens | €1.4M | €1.2M-1.6M | +41% | 105.9 |
| #20 | Julián Vignolo FC Toulouse | €565K | €487K-643K | +41% | 105.9 |
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: player 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)
LOSC Lille's Thomas Meunier in the 30+ age bracket has the highest Age-Share Concentration at +-13.1%. That means Marquinhos captures 9.7% of total market value while representing only 22.8% of players in their age group—showing dominant elite status.
In second is Without Club's Wahbi Khazri with a +-13.1% ASC (9.7% value share vs 22.8% player share in 30+ bracket). Third is Florent Hanin of Angers SCO with a +-13.1% ASC (9.7% value vs 22.8% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-13.1% ASC means the player captures -13.1% 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 | Thomas Meunier LOSC Lille | 30+ | 9.7% | 22.8% | -13.1% |
| #2 | Wahbi Khazri Without Club | 30+ | 9.7% | 22.8% | -13.1% |
| #3 | Florent Hanin Angers SCO | 30+ | 9.7% | 22.8% | -13.1% |
| #4 | Karl-Johan Johnsson RC Strasbourg Alsace | 30+ | 9.7% | 22.8% | -13.1% |
| #5 | Rachid Ghezzal Olympique Lyon | 30+ | 9.7% | 22.8% | -13.1% |
| #6 | Paul Pogba AS Monaco | 30+ | 9.7% | 22.8% | -13.1% |
| #7 | Andy Delort AC Ajaccio | 30+ | 9.7% | 22.8% | -13.1% |
| #8 | Loïc Nego Le Havre AC | 30+ | 9.7% | 22.8% | -13.1% |
| #9 | Ismaily is a 35-year old football player aus Brazil Without Club | 30+ | 9.7% | 22.8% | -13.1% |
| #10 | Nikola Maksimović NK Kustosija Zagreb | 30+ | 9.7% | 22.8% | -13.1% |
| #11 | Benjamin Leroy FC Lorient | 30+ | 9.7% | 22.8% | -13.1% |
| #12 | Samuel Umtiti LOSC Lille | 30+ | 9.7% | 22.8% | -13.1% |
| #13 | Jonathan Gradit RC Lens | 30+ | 9.7% | 22.8% | -13.1% |
| #14 | Benjamin Stambouli FC Metz | 30+ | 9.7% | 22.8% | -13.1% |
| #15 | Maxime Dupé OGC Nice | 30+ | 9.7% | 22.8% | -13.1% |
| #16 | Geoffrey Kondogbia Olympique Marseille | 30+ | 9.7% | 22.8% | -13.1% |
| #17 | Nicolás Tagliafico Olympique Lyon | 30+ | 9.7% | 22.8% | -13.1% |
| #18 | Haris Belkebla Angers SCO | 30+ | 9.7% | 22.8% | -13.1% |
| #19 | Yvon Mvogo FC Lorient | 30+ | 9.7% | 22.8% | -13.1% |
| #20 | Maxime Colin FC Metz | 30+ | 9.7% | 22.8% | -13.1% |
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: 155 immediate targets, 50 standard acquisitions, 0 watch-list prospects, 78 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 €900K. 4 undervalued, 21 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Amine Gouiri Olympique Marseille | €30.0M | €4.0M | -2.00 | Undervalued |
Melvin Bard OGC Nice | €15.0M | €4.0M | -1.67 | Undervalued |
Terem Moffi OGC Nice | €15.0M | €4.0M | -1.67 | Undervalued |
Hicham Boudaoui OGC Nice | €15.0M | €4.0M | -1.67 | Undervalued |
Willian Pacho Paris Saint-Germain | €65.0M | €4.0M | -1.50 | Good Value |
Sofiane Alakouch Paris FC | €250K | €4.0M | -1.35 | Good Value |
Álex Domínguez FC Toulouse | €300K | €4.0M | -1.31 | Good Value |
Lamine Gueye Paris FC | €300K | €4.0M | -1.31 | Good Value |
Kjetil Haug FC Toulouse | €600K | €4.0M | -1.08 | Good Value |
Arthur Avom FC Lorient | €5.0M | €4.0M | -1.00 | Good Value |
Sadibou Sané FC Metz | €5.0M | €4.0M | -1.00 | Good Value |
Kader Meïté Stade Rennais FC | €5.0M | €4.0M | -1.00 | Good Value |
Takumi Minamino AS Monaco | €15.0M | €4.0M | -1.00 | Good Value |
Assane Dioussé AJ Auxerre | €700K | €4.0M | -1.00 | Good Value |
Denis Zakaria AS Monaco | €30.0M | €4.0M | -1.00 | Good Value |
Timothy Weah Olympique Marseille | €17.0M | €4.0M | -1.00 | Good Value |
Ansu Fati AS Monaco | €5.0M | €4.0M | -1.00 | Good Value |
Sékou Mara AJ Auxerre | €5.0M | €4.0M | -1.00 | Good Value |
Mohamed Bamba FC Lorient | €5.0M | €4.0M | -1.00 | Good Value |
Igor Paixão Olympique Marseille | €35.0M | €4.0M | -1.00 | Good Value |