Best Attacking Midfielders in the Ligue 1 (Dec 2025)
Ranked by Analytical Strength Score
Market Overview: Ligue 1 Attacking Midfielders 2022-23
Our database tracked 16 Ligue 1 Attacking Midfielders in the 2022-23 season, representing 11 clubs with a combined market value of €133.5M. The average market value for Ligue 1 Attacking Midfielders was €8.3M, with the average age at 23.4 years old.
The most valuable attacking midfielder in the Ligue 1 was Julio Enciso, worth €22.0M and played for RC Strasbourg Alsace at 21 years old. The top 5 Attacking Midfielders averaged €18.0M in market value, including Angel Gomes and Aleksandr Golovin.
Age distribution showed the youngest tracked attacking midfielder was Kendry Páez (18 years, RC Strasbourg Alsace, €10.0M), while the oldest was Adrien Thomasson (32 years, RC Lens, €5.0M). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 13 Attacking Midfielders (81%) 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 Attacking Midfielders remained actively developing with emerging talent 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 11 clubs with €133.5M combined value.
Age Distribution: Ligue 1 Attacking Midfielders
The Ligue 1 CAM market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (5 players, 31% of market). The 21-23 age group holds the most value at €54.0M, averaging €13.5M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (4 players)
21-23 Years (4 players)
24-26 Years (5 players)
27-29 Years (2 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Attacking Midfielders (13% of players) control €42.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 25% of the Ligue 1 CAM pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Ligue 1 Attacking Midfielders
Among 11 Ligue 1 clubs, RC Strasbourg Alsace leads with 3 Attacking Midfielders worth €42.0M (averaging €14.0M per player). The top 10 clubs account for 94% of tracked Attacking Midfielders.
RC Strasbourg Alsace (3 Attacking Midfielders)
AS Monaco (2 Attacking Midfielders)
Olympique Marseille (2 Attacking Midfielders)
LOSC Lille (1 Attacking Midfielders)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Julio Enciso
RC Strasbourg Alsace • 21 years old
€19.0M
€22.0M
+15.6%
Expected: €25.2M
73.8
Angel Gomes
Olympique Marseille • 25 years old
€17.3M
€20.0M
+15.6%
Expected: €20.3M
72.9
Aleksandr Golovin
AS Monaco • 29 years old
€25.8M
€20.0M
-22.6%
Expected: €17.2M
72.6
Hákon Arnar Haraldsson
LOSC Lille • 22 years old
€15.6M
€18.0M
+15.6%
Expected: €19.8M
71.9
Félix Lemaréchal
RC Strasbourg Alsace • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.6M
61.0
Kendry Páez
RC Strasbourg Alsace • 18 years old
€8.6M
€10.0M
+15.6%
Expected: €12.3M
58.5
Himad Abdelli
Angers SCO • 26 years old
€6.1M
€7.0M
+15.6%
Expected: €7.2M
55.9
Adrien Thomasson
RC Lens • 32 years old
€6.5M
€5.0M
-22.6%
Expected: €4.4M
52.0
Ilan Kebbal
Paris FC • 27 years old
€5.3M
€5.0M
-5.4%
Expected: €4.4M
51.8
Kamory Doumbia
Stade Brestois 29 • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.8
Louis Leroux
FC Nantes • 19 years old
€3.5M
€4.0M
+15.6%
Expected: €4.8M
47.9
Hyun-seok Hong
FC Nantes • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.4
Stanis Idumbo
AS Monaco • 20 years old
€2.2M
€2.5M
+15.6%
Expected: €2.9M
39.0
Reda Khadra
Le Havre AC • 24 years old
€1.7M
€2.0M
+15.6%
Expected: €2.0M
37.7
Bandiougou Fadiga
FC Lorient • 24 years old
€259K
€300K
+15.6%
Expected: €307K
14.5
Darryl Bakola
Olympique Marseille • 18 years old
€173K
€200K
+15.6%
Expected: €247K
6.9
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)
Olympique Marseille's Angel Gomes at 25 years old has the highest Pre-Peak Value Efficiency at 10.00×. That means Angel Gomes is valued 10.00× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is RC Strasbourg Alsace's Kendry Páez, who is 18 years old, with a 2.50× PPVE. Third is Julio Enciso of RC Strasbourg Alsace, who is 21 years old with a 1.22× 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 | Angel Gomes Olympique Marseille | 25 | 24-26 | €20.0M | €2.0M | 10.00× |
| #2 | Kendry Páez RC Strasbourg Alsace | 18 | U21 | €10.0M | €4.0M | 2.50× |
| #3 | Julio Enciso RC Strasbourg Alsace | 21 | 21-23 | €22.0M | €18.0M | 1.22× |
| #4 | Louis Leroux FC Nantes | 19 | U21 | €4.0M | €4.0M | 1.00× |
| #5 | Reda Khadra Le Havre AC | 24 | 24-26 | €2.0M | €2.0M | 1.00× |
| #6 | Hákon Arnar Haraldsson LOSC Lille | 22 | 21-23 | €18.0M | €18.0M | 1.00× |
| #7 | Stanis Idumbo AS Monaco | 20 | U21 | €2.5M | €4.0M | 0.63× |
| #8 | Félix Lemaréchal RC Strasbourg Alsace | 22 | 21-23 | €10.0M | €18.0M | 0.56× |
| #9 | Kamory Doumbia Stade Brestois 29 | 22 | 21-23 | €4.0M | €18.0M | 0.22× |
| #10 | Bandiougou Fadiga FC Lorient | 24 | 24-26 | €300K | €2.0M | 0.15× |
| #11 | Darryl Bakola Olympique Marseille | 18 | U21 | €200K | €4.0M | 0.05× |
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)
Olympique Marseille's Darryl Bakola at 18 years old has the highest Return-to-Peak Potential at +44%. That means Darryl Bakola is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is RC Strasbourg Alsace's Kendry Páez, who is 18 years old, with a +44% RPP (8 years to peak). Third is Louis Leroux of FC Nantes, who is 19 years old with a +40% 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 44% RPP means the player is expected to gain 44% 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 | Darryl Bakola Olympique Marseille | 18 | 8 | €200K | €357K | +44% |
| #2 | Kendry Páez RC Strasbourg Alsace | 18 | 8 | €10.0M | €17.9M | +44% |
| #3 | Louis Leroux FC Nantes | 19 | 7 | €4.0M | €6.6M | +40% |
| #4 | Stanis Idumbo AS Monaco | 20 | 6 | €2.5M | €3.9M | +35% |
| #5 | Julio Enciso RC Strasbourg Alsace | 21 | 5 | €22.0M | €31.6M | +30% |
| #6 | Félix Lemaréchal RC Strasbourg Alsace | 22 | 4 | €10.0M | €13.4M | +25% |
| #7 | Kamory Doumbia Stade Brestois 29 | 22 | 4 | €4.0M | €5.3M | +25% |
| #8 | Hákon Arnar Haraldsson LOSC Lille | 22 | 4 | €18.0M | €24.1M | +25% |
| #9 | Bandiougou Fadiga FC Lorient | 24 | 2 | €300K | €347K | +14% |
| #10 | Reda Khadra Le Havre AC | 24 | 2 | €2.0M | €2.3M | +14% |
| #11 | Angel Gomes Olympique Marseille | 25 | 1 | €20.0M | €21.5M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
RC Strasbourg Alsace's Kendry Páez has the highest Risk-Adjusted Upside at 55.1. That means Kendry Páez has 23% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Olympique Marseille's Darryl Bakola with a 55.1 RAU (23% upside, 0% uncertainty). Third is Louis Leroux of FC Nantes with a 46.4 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 55.1 means the upside is 55.1× 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 | Kendry Páez RC Strasbourg Alsace | €12.3M | €10.2M-14.5M | +23% | 55.1 |
| #2 | Darryl Bakola Olympique Marseille | €247K | €204K-290K | +23% | 55.1 |
| #3 | Louis Leroux FC Nantes | €4.8M | €3.9M-5.6M | +19% | 46.4 |
| #4 | Julio Enciso RC Strasbourg Alsace | €25.2M | €20.9M-29.6M | +15% | 37.3 |
| #5 | Stanis Idumbo AS Monaco | €2.9M | €2.4M-3.4M | +15% | 37.1 |
| #6 | Hákon Arnar Haraldsson LOSC Lille | €19.8M | €16.9M-22.8M | +10% | 30.7 |
| #7 | Kamory Doumbia Stade Brestois 29 | €4.2M | €3.6M-4.9M | +6% | 18.4 |
| #8 | Félix Lemaréchal RC Strasbourg Alsace | €10.6M | €9.0M-12.2M | +6% | 18.4 |
| #9 | Hyun-seok Hong FC Nantes | €3.6M | €3.1M-4.1M | +3% | 9.6 |
| #10 | Himad Abdelli Angers SCO | €7.2M | €6.1M-8.3M | +3% | 9.6 |
| #11 | Bandiougou Fadiga FC Lorient | €307K | €261K-353K | +2% | 7.8 |
| #12 | Reda Khadra Le Havre AC | €2.0M | €1.7M-2.4M | +2% | 7.8 |
| #13 | Angel Gomes Olympique Marseille | €20.3M | €17.3M-23.4M | +2% | 5.7 |
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: attacking midfielder 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)
LOSC Lille's Hákon Arnar Haraldsson in the 21-23 age bracket has the highest Age-Share Concentration at +15.4%. That means Julio Enciso captures 40.4% of total market value while representing only 25.0% of players in their age group—showing dominant elite status.
In second is RC Strasbourg Alsace's Félix Lemaréchal with a +15.4% ASC (40.4% value share vs 25.0% player share in 21-23 bracket). Third is Julio Enciso of RC Strasbourg Alsace with a +15.4% ASC (40.4% value vs 25.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +15.4% ASC means the player captures 15.4% 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 | Hákon Arnar Haraldsson LOSC Lille | 21-23 | 40.4% | 25.0% | +15.4% |
| #2 | Félix Lemaréchal RC Strasbourg Alsace | 21-23 | 40.4% | 25.0% | +15.4% |
| #3 | Julio Enciso RC Strasbourg Alsace | 21-23 | 40.4% | 25.0% | +15.4% |
| #4 | Kamory Doumbia Stade Brestois 29 | 21-23 | 40.4% | 25.0% | +15.4% |
| #5 | Kendry Páez RC Strasbourg Alsace | U21 | 12.5% | 25.0% | -12.5% |
| #6 | Louis Leroux FC Nantes | U21 | 12.5% | 25.0% | -12.5% |
| #7 | Darryl Bakola Olympique Marseille | U21 | 12.5% | 25.0% | -12.5% |
| #8 | Stanis Idumbo AS Monaco | U21 | 12.5% | 25.0% | -12.5% |
| #9 | Angel Gomes Olympique Marseille | 24-26 | 24.6% | 31.3% | -6.7% |
| #10 | Reda Khadra Le Havre AC | 24-26 | 24.6% | 31.3% | -6.7% |
| #11 | Hyun-seok Hong FC Nantes | 24-26 | 24.6% | 31.3% | -6.7% |
| #12 | Bandiougou Fadiga FC Lorient | 24-26 | 24.6% | 31.3% | -6.7% |
| #13 | Himad Abdelli Angers SCO | 24-26 | 24.6% | 31.3% | -6.7% |
| #14 | Aleksandr Golovin AS Monaco | 27-29 | 18.7% | 12.5% | +6.2% |
| #15 | Ilan Kebbal Paris FC | 27-29 | 18.7% | 12.5% | +6.2% |
| #16 | Adrien Thomasson RC Lens | 30+ | 3.7% | 6.3% | -2.5% |
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: 3 immediate targets, 5 standard acquisitions, 0 watch-list prospects, 6 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 €22.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Hákon Arnar Haraldsson LOSC Lille | €18.0M | €5.0M | -1.00 | Good Value |
Darryl Bakola Olympique Marseille | €200K | €5.0M | -0.61 | Good Value |
Bandiougou Fadiga FC Lorient | €300K | €5.0M | -0.53 | Good Value |
Kendry Páez RC Strasbourg Alsace | €10.0M | €5.0M | 0.00 | Fair Value |
Adrien Thomasson RC Lens | €5.0M | €5.0M | 0.00 | Fair Value |
Aleksandr Golovin AS Monaco | €20.0M | €5.0M | 0.00 | Fair Value |
Angel Gomes Olympique Marseille | €20.0M | €5.0M | 0.00 | Fair Value |
Reda Khadra Le Havre AC | €2.0M | €5.0M | 0.00 | Fair Value |
Himad Abdelli Angers SCO | €7.0M | €5.0M | 0.00 | Fair Value |
Félix Lemaréchal RC Strasbourg Alsace | €10.0M | €5.0M | 0.00 | Fair Value |
Julio Enciso RC Strasbourg Alsace | €22.0M | €5.0M | 0.00 | Fair Value |
Kamory Doumbia Stade Brestois 29 | €4.0M | €5.0M | 0.00 | Fair Value |
Ilan Kebbal Paris FC | €5.0M | €5.0M | 0.00 | Fair Value |
Stanis Idumbo AS Monaco | €2.5M | €5.0M | 0.00 | Fair Value |
Louis Leroux FC Nantes | €4.0M | €5.0M | +0.39 | Fair Value |
Hyun-seok Hong FC Nantes | €3.5M | €5.0M | +0.47 | Fair Value |