Best Attacking Midfielders in the Ligue 1 (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Ligue 1 Attacking Midfielders 2022-23
Our database tracked 23 Ligue 1 Attacking Midfielders in the 2022-23 season, representing 16 clubs with a combined market value of €210.6M. The average market value for Ligue 1 Attacking Midfielders was €9.2M, with the average age at 25.5 years old.
The most valuable attacking midfielder in the Ligue 1 was Ethan Nwaneri, worth €40.0M and played for Olympique Marseille at 19 years old. The top 5 Attacking Midfielders averaged €25.0M in market value, including Kang-in Lee and Hákon Arnar Haraldsson.
Age distribution showed the youngest tracked attacking midfielder was Ethan Nwaneri (19 years, Olympique Marseille, €40.0M), while the oldest was Rémy Cabella (36 years, FC Nantes, €1.5M). Research shows Attacking Midfielders typically peak at age 26.
Historical analysis showed 13 Attacking Midfielders (57%) 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 16 clubs with €210.6M 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 (6 players, 26% of market). The U21 age group holds the most value at €62.0M, averaging €15.5M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (4 players)
21-23 Years (5 players)
24-26 Years (6 players)
27-29 Years (3 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Attacking Midfielders (13% of players) control €87.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 4% of the Ligue 1 CAM pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Ligue 1 Attacking Midfielders
Among 16 Ligue 1 clubs, Olympique Marseille leads with 2 Attacking Midfielders worth €58.0M (averaging €29.0M per player). The top 10 clubs account for 61% of tracked Attacking Midfielders.
Olympique Marseille (2 Attacking Midfielders)
Paris Saint-Germain (1 Attacking Midfielders)
AS Monaco (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.
Ethan Nwaneri
Olympique Marseille • 19 years old
€34.6M
€40.0M
+15.6%
Expected: €49.6M
82.9
Kang-in Lee
Paris Saint-Germain • 25 years old
€21.6M
€25.0M
+15.6%
Expected: €25.4M
75.8
Hákon Arnar Haraldsson
LOSC Lille • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €24.5M
75.0
Julio Enciso
RC Strasbourg Alsace • 22 years old
€17.3M
€20.0M
+15.6%
Expected: €22.0M
73.2
Angel Gomes
Olympique Marseille • 25 years old
€15.6M
€18.0M
+15.6%
Expected: €18.3M
71.6
Aleksandr Golovin
AS Monaco • 30 years old
€23.2M
€18.0M
-22.6%
Expected: €15.4M
71.3
Sebastian Szymanski
Stade Rennais FC • 27 years old
€12.7M
€12.0M
-5.4%
Expected: €10.9M
66.2
Louis Leroux
FC Nantes • 20 years old
€7.8M
€9.0M
+15.6%
Expected: €10.3M
58.5
Kamory Doumbia
Stade Brestois 29 • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.5M
57.2
Noah Nartey
Olympique Lyon • 20 years old
€6.9M
€8.0M
+15.6%
Expected: €9.2M
57.0
Himad Abdelli
Angers SCO • 26 years old
€6.1M
€7.0M
+15.6%
Expected: €7.2M
55.9
Romain Faivre
AJ Auxerre • 27 years old
€5.3M
€5.0M
-5.4%
Expected: €4.4M
51.8
Stanis Idumbo
AS Monaco • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.3
Dermane Karim
FC Lorient • 22 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
42.5
Louis Mouton
Angers SCO • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.7M
40.9
Jean-Victor Makengo
FC Lorient • 27 years old
€2.6M
€2.5M
-5.4%
Expected: €2.2M
39.5
Sofiane Boufal
Le Havre AC • 32 years old
€2.6M
€2.0M
-22.6%
Expected: €1.7M
37.0
Reda Khadra
Le Havre AC • 24 years old
€1.6M
€1.8M
+15.6%
Expected: €1.8M
36.4
Rémy Cabella
FC Nantes • 36 years old
€1.9M
€1.5M
-22.6%
Expected: €1.3M
34.2
Ryad Boudebouz
JS Kabylie • 36 years old
€581K
€450K
-22.6%
Expected: €392K
19.2
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 Kang-in Lee at 25 years old has the highest Pre-Peak Value Efficiency at 13.89×. That means Kang-in Lee is valued 13.89× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Olympique Marseille's Angel Gomes, who is 25 years old, with a 10.00× PPVE. Third is Ethan Nwaneri of Olympique Marseille, who is 19 years old with a 4.44× 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 13.89× means the player is worth 1289% 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 | Kang-in Lee Paris Saint-Germain | 25 | 24-26 | €25.0M | €1.8M | 13.89× |
| #2 | Angel Gomes Olympique Marseille | 25 | 24-26 | €18.0M | €1.8M | 10.00× |
| #3 | Ethan Nwaneri Olympique Marseille | 19 | U21 | €40.0M | €9.0M | 4.44× |
| #4 | Hákon Arnar Haraldsson LOSC Lille | 23 | 21-23 | €22.0M | €7.0M | 3.14× |
| #5 | Julio Enciso RC Strasbourg Alsace | 22 | 21-23 | €20.0M | €7.0M | 2.86× |
| #6 | Louis Leroux FC Nantes | 20 | U21 | €9.0M | €9.0M | 1.00× |
| #7 | Reda Khadra Le Havre AC | 24 | 24-26 | €1.8M | €1.8M | 1.00× |
| #8 | Kamory Doumbia Stade Brestois 29 | 23 | 21-23 | €7.0M | €7.0M | 1.00× |
| #9 | Noah Nartey Olympique Lyon | 20 | U21 | €8.0M | €9.0M | 0.89× |
| #10 | Stanis Idumbo AS Monaco | 20 | U21 | €5.0M | €9.0M | 0.56× |
| #11 | Dermane Karim FC Lorient | 22 | 21-23 | €3.0M | €7.0M | 0.43× |
| #12 | Louis Mouton Angers SCO | 23 | 21-23 | €2.5M | €7.0M | 0.36× |
| #13 | Bandiougou Fadiga FC Lorient | 25 | 24-26 | €250K | €1.8M | 0.14× |
| #14 | Bilal Benkhedim MC Oran | 25 | 24-26 | €225K | €1.8M | 0.13× |
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 Ethan Nwaneri at 19 years old has the highest Return-to-Peak Potential at +40%. That means Ethan Nwaneri is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.
In second is AS Monaco's Stanis Idumbo, who is 20 years old, with a +35% RPP (6 years to peak). Third is Noah Nartey of Olympique Lyon, 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 | Ethan Nwaneri Olympique Marseille | 19 | 7 | €40.0M | €66.5M | +40% |
| #2 | Stanis Idumbo AS Monaco | 20 | 6 | €5.0M | €7.7M | +35% |
| #3 | Noah Nartey Olympique Lyon | 20 | 6 | €8.0M | €12.4M | +35% |
| #4 | Louis Leroux FC Nantes | 20 | 6 | €9.0M | €13.9M | +35% |
| #5 | Julio Enciso RC Strasbourg Alsace | 22 | 4 | €20.0M | €26.7M | +25% |
| #6 | Dermane Karim FC Lorient | 22 | 4 | €3.0M | €4.0M | +25% |
| #7 | Louis Mouton Angers SCO | 23 | 3 | €2.5M | €3.1M | +20% |
| #8 | Hákon Arnar Haraldsson LOSC Lille | 23 | 3 | €22.0M | €27.4M | +20% |
| #9 | Kamory Doumbia Stade Brestois 29 | 23 | 3 | €7.0M | €8.7M | +20% |
| #10 | Reda Khadra Le Havre AC | 24 | 2 | €1.8M | €2.1M | +14% |
| #11 | Kang-in Lee Paris Saint-Germain | 25 | 1 | €25.0M | €26.9M | +7% |
| #12 | Bandiougou Fadiga FC Lorient | 25 | 1 | €250K | €269K | +7% |
| #13 | Bilal Benkhedim MC Oran | 25 | 1 | €225K | €242K | +7% |
| #14 | Angel Gomes Olympique Marseille | 25 | 1 | €18.0M | €19.4M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Olympique Marseille's Ethan Nwaneri has the highest Risk-Adjusted Upside at 56.0. That means Ethan Nwaneri has 24% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Olympique Lyon's Noah Nartey with a 37.1 RAU (15% upside, 0% uncertainty). Third is Louis Leroux of FC Nantes with a 37.1 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 56.0 means the upside is 56.0× 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 | Ethan Nwaneri Olympique Marseille | €49.6M | €41.0M-58.1M | +24% | 56.0 |
| #2 | Noah Nartey Olympique Lyon | €9.2M | €7.6M-10.8M | +15% | 37.1 |
| #3 | Louis Leroux FC Nantes | €10.3M | €8.5M-12.1M | +15% | 37.1 |
| #4 | Stanis Idumbo AS Monaco | €5.7M | €4.7M-6.7M | +15% | 37.1 |
| #5 | Hákon Arnar Haraldsson LOSC Lille | €24.5M | €20.8M-28.2M | +11% | 34.2 |
| #6 | Julio Enciso RC Strasbourg Alsace | €22.0M | €18.7M-25.3M | +10% | 30.7 |
| #7 | Louis Mouton Angers SCO | €2.7M | €2.3M-3.1M | +7% | 22.0 |
| #8 | Kamory Doumbia Stade Brestois 29 | €7.5M | €6.4M-8.6M | +7% | 22.0 |
| #9 | Dermane Karim FC Lorient | €3.2M | €2.7M-3.7M | +6% | 18.4 |
| #10 | Himad Abdelli Angers SCO | €7.2M | €6.1M-8.3M | +3% | 9.6 |
| #11 | Reda Khadra Le Havre AC | €1.8M | €1.6M-2.1M | +2% | 7.8 |
| #12 | Kang-in Lee Paris Saint-Germain | €25.4M | €21.6M-29.3M | +2% | 5.7 |
| #13 | Angel Gomes Olympique Marseille | €18.3M | €15.6M-21.1M | +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)
FC Nantes's Louis Leroux in the U21 age bracket has the highest Age-Share Concentration at +12.0%. That means Ethan Nwaneri captures 29.4% of total market value while representing only 17.4% of players in their age group—showing dominant elite status.
In second is AS Monaco's Stanis Idumbo with a +12.0% ASC (29.4% value share vs 17.4% player share in U21 bracket). Third is Noah Nartey of Olympique Lyon with a +12.0% ASC (29.4% value vs 17.4% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +12.0% ASC means the player captures 12.0% 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 | Louis Leroux FC Nantes | U21 | 29.4% | 17.4% | +12.0% |
| #2 | Stanis Idumbo AS Monaco | U21 | 29.4% | 17.4% | +12.0% |
| #3 | Noah Nartey Olympique Lyon | U21 | 29.4% | 17.4% | +12.0% |
| #4 | Ethan Nwaneri Olympique Marseille | U21 | 29.4% | 17.4% | +12.0% |
| #5 | Rémy Cabella FC Nantes | 30+ | 10.6% | 21.7% | -11.1% |
| #6 | Sofiane Boufal Le Havre AC | 30+ | 10.6% | 21.7% | -11.1% |
| #7 | Aleksandr Golovin AS Monaco | 30+ | 10.6% | 21.7% | -11.1% |
| #8 | Chahreddine Boukholda MC Algiers | 30+ | 10.6% | 21.7% | -11.1% |
| #9 | Ryad Boudebouz JS Kabylie | 30+ | 10.6% | 21.7% | -11.1% |
| #10 | Hákon Arnar Haraldsson LOSC Lille | 21-23 | 25.9% | 21.7% | +4.1% |
| #11 | Julio Enciso RC Strasbourg Alsace | 21-23 | 25.9% | 21.7% | +4.1% |
| #12 | Kamory Doumbia Stade Brestois 29 | 21-23 | 25.9% | 21.7% | +4.1% |
| #13 | Louis Mouton Angers SCO | 21-23 | 25.9% | 21.7% | +4.1% |
| #14 | Dermane Karim FC Lorient | 21-23 | 25.9% | 21.7% | +4.1% |
| #15 | Sebastian Szymanski Stade Rennais FC | 27-29 | 9.3% | 13.0% | -3.8% |
| #16 | Jean-Victor Makengo FC Lorient | 27-29 | 9.3% | 13.0% | -3.8% |
| #17 | Romain Faivre AJ Auxerre | 27-29 | 9.3% | 13.0% | -3.8% |
| #18 | Angel Gomes Olympique Marseille | 24-26 | 24.8% | 26.1% | -1.3% |
| #19 | Reda Khadra Le Havre AC | 24-26 | 24.8% | 26.1% | -1.3% |
| #20 | Kang-in Lee Paris Saint-Germain | 24-26 | 24.8% | 26.1% | -1.3% |
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: 1 immediate targets, 8 standard acquisitions, 0 watch-list prospects, 9 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 €225K. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Angel Gomes Olympique Marseille | €18.0M | €5.0M | -1.00 | Good Value |
Romain Faivre AJ Auxerre | €5.0M | €5.0M | -1.00 | Good Value |
Julio Enciso RC Strasbourg Alsace | €20.0M | €5.0M | -1.00 | Good Value |
Louis Mouton Angers SCO | €2.5M | €5.0M | -1.00 | Good Value |
Stanis Idumbo AS Monaco | €5.0M | €5.0M | -0.75 | Good Value |
Chahreddine Boukholda MC Algiers | €400K | €5.0M | -0.71 | Good Value |
Ryad Boudebouz JS Kabylie | €450K | €5.0M | -0.68 | Good Value |
Bilal Benkhedim MC Oran | €225K | €5.0M | -0.02 | Fair Value |
Rémy Cabella FC Nantes | €1.5M | €5.0M | 0.00 | Fair Value |
Aleksandr Golovin AS Monaco | €18.0M | €5.0M | 0.00 | Fair Value |
Sebastian Szymanski Stade Rennais FC | €12.0M | €5.0M | 0.00 | Fair Value |
Jean-Victor Makengo FC Lorient | €2.5M | €5.0M | 0.00 | Fair Value |
Kang-in Lee Paris Saint-Germain | €25.0M | €5.0M | 0.00 | Fair Value |
Bandiougou Fadiga FC Lorient | €250K | €5.0M | 0.00 | Fair Value |
Himad Abdelli Angers SCO | €7.0M | €5.0M | 0.00 | Fair Value |
Hákon Arnar Haraldsson LOSC Lille | €22.0M | €5.0M | 0.00 | Fair Value |
Kamory Doumbia Stade Brestois 29 | €7.0M | €5.0M | 0.00 | Fair Value |
Noah Nartey Olympique Lyon | €8.0M | €5.0M | 0.00 | Fair Value |
Ethan Nwaneri Olympique Marseille | €40.0M | €5.0M | 0.00 | Fair Value |
Dermane Karim FC Lorient | €3.0M | €5.0M | 0.00 | Fair Value |