Best U23 Young Attacking Midfielders in the Bundesliga
12 players aged 23 or under · ranked by Analytical Strength Index
Best Young Attacking Midfielders in the Bundesliga (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Bundesliga Young Attacking Midfielders 2026-27
Our database tracked 12 Bundesliga Young Attacking Midfielders in the 2026-27 season, representing 11 clubs with a combined market value of €291.8M. The average market value for Bundesliga Young Attacking Midfielders was €24.3M, with the average age at 21 years old.
The most valuable young attacking midfielder in the Bundesliga was Jamal Musiala, worth €130.0M and played for Bayern Munich at 23 years old. The top 5 Young Attacking Midfielders averaged €50.0M in market value, including Can Uzun and Bilal El Khannouss.
Age distribution showed the youngest tracked young attacking midfielder was Patrice Covic (18 years, SV Werder Bremen, €4.0M), while the oldest was Jamal Musiala (23 years, Bayern Munich, €130.0M). Research shows Young Attacking Midfielders typically peak at age 26.
Historical analysis showed 12 Young Attacking Midfielders (100%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Bundesliga market for Young Attacking Midfielders remained actively developing with emerging talent in the 2026-27 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 Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Young Attacking Midfielders. Identify undervalued assets and track market momentum across 11 clubs with €291.8M combined value.
Age Distribution: Bundesliga Young Attacking Midfielders
The Bundesliga CAM market shows 2 distinct age segments, with the largest cohort in the U21 bracket (6 players, 50% of market). The 21-23 age group holds the most value at €193.8M, averaging €32.3M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (6 players)
21-23 Years (6 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Young Attacking Midfielders (17% of players) control €175.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 8% of the Bundesliga CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Young Attacking Midfielders
Among 11 Bundesliga clubs, Bayern Munich leads with 1 Young Attacking Midfielders worth €130.0M (averaging €130.0M per player). The top 10 clubs account for 83% of tracked Young Attacking Midfielders.
Bayern Munich (1 Young Attacking Midfielders)
Eintracht Frankfurt (1 Young Attacking Midfielders)
VfB Stuttgart (1 Young Attacking Midfielders)
Bayer 04 Leverkusen (1 Young Attacking Midfielders)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Jamal Musiala
Bayern Munich • 23 years old
€112.4M
€130.0M
+15.6%
Expected: €144.9M
95.5
Can Uzun
Eintracht Frankfurt • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €53.7M
84.9
Bilal El Khannouss
VfB Stuttgart • 22 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
82.0
Ibrahim Maza
Bayer 04 Leverkusen • 20 years old
€21.6M
€25.0M
+15.6%
Expected: €29.8M
74.7
Paul Nebel
1.FSV Mainz 05 • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €20.1M
72.6
Mert Kömür
FC Augsburg • 20 years old
€10.4M
€12.0M
+15.6%
Expected: €14.3M
65.7
Muhammed Damar
TSG 1899 Hoffenheim • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
56.6
Bence Dárdai
VfL Wolfsburg • 20 years old
€6.1M
€7.0M
+15.6%
Expected: €8.0M
55.4
Giovanni Reyna
Borussia Mönchengladbach • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Arijon Ibrahimovic
1.FC Heidenheim 1846 • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.3
Patrice Covic
SV Werder Bremen • 18 years old
€3.5M
€4.0M
+15.6%
Expected: €4.9M
47.3
Isak Hansen-Aarøen
SV Werder Bremen • 21 years old
€692K
€800K
+15.6%
Expected: €882K
25.7
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)
Bayern Munich's Jamal Musiala at 23 years old has the highest Pre-Peak Value Efficiency at 7.22×. That means Jamal Musiala is valued 7.22× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Eintracht Frankfurt's Can Uzun, who is 20 years old, with a 3.75× PPVE. Third is Ibrahim Maza of Bayer 04 Leverkusen, who is 20 years old with a 2.08× 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 7.22× means the player is worth 622% 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 | Jamal Musiala Bayern Munich | 23 | 21-23 | €130.0M | €18.0M | 7.22× |
| #2 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €12.0M | 3.75× |
| #3 | Ibrahim Maza Bayer 04 Leverkusen | 20 | U21 | €25.0M | €12.0M | 2.08× |
| #4 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €32.0M | €18.0M | 1.78× |
| #5 | Paul Nebel 1.FSV Mainz 05 | 23 | 21-23 | €18.0M | €18.0M | 1.00× |
| #6 | Mert Kömür FC Augsburg | 20 | U21 | €12.0M | €12.0M | 1.00× |
| #7 | Bence Dárdai VfL Wolfsburg | 20 | U21 | €7.0M | €12.0M | 0.58× |
| #8 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | 20 | U21 | €5.0M | €12.0M | 0.42× |
| #9 | Muhammed Damar TSG 1899 Hoffenheim | 22 | 21-23 | €7.0M | €18.0M | 0.39× |
| #10 | Patrice Covic SV Werder Bremen | 18 | U21 | €4.0M | €12.0M | 0.33× |
| #11 | Giovanni Reyna Borussia Mönchengladbach | 23 | 21-23 | €6.0M | €18.0M | 0.33× |
| #12 | Isak Hansen-Aarøen SV Werder Bremen | 21 | 21-23 | €800K | €18.0M | 0.04× |
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)
SV Werder Bremen's Patrice Covic at 18 years old has the highest Return-to-Peak Potential at +44%. That means Patrice Covic is projected to appreciate 44% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is FC Augsburg's Mert Kömür, who is 20 years old, with a +35% RPP (6 years to peak). Third is Arijon Ibrahimovic of 1.FC Heidenheim 1846, 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 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 | Patrice Covic SV Werder Bremen | 18 | 8 | €4.0M | €7.1M | +44% |
| #2 | Mert Kömür FC Augsburg | 20 | 6 | €12.0M | €18.5M | +35% |
| #3 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | 20 | 6 | €5.0M | €7.7M | +35% |
| #4 | Bence Dárdai VfL Wolfsburg | 20 | 6 | €7.0M | €10.8M | +35% |
| #5 | Can Uzun Eintracht Frankfurt | 20 | 6 | €45.0M | €69.6M | +35% |
| #6 | Ibrahim Maza Bayer 04 Leverkusen | 20 | 6 | €25.0M | €38.6M | +35% |
| #7 | Isak Hansen-Aarøen SV Werder Bremen | 21 | 5 | €800K | €1.1M | +30% |
| #8 | Bilal El Khannouss VfB Stuttgart | 22 | 4 | €32.0M | €42.8M | +25% |
| #9 | Muhammed Damar TSG 1899 Hoffenheim | 22 | 4 | €7.0M | €9.4M | +25% |
| #10 | Giovanni Reyna Borussia Mönchengladbach | 23 | 3 | €6.0M | €7.5M | +20% |
| #11 | Jamal Musiala Bayern Munich | 23 | 3 | €130.0M | €161.6M | +20% |
| #12 | Paul Nebel 1.FSV Mainz 05 | 23 | 3 | €18.0M | €22.4M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
SV Werder Bremen's Patrice Covic has the highest Risk-Adjusted Upside at 55.1. That means Patrice Covic has 23% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Eintracht Frankfurt's Can Uzun with a 47.0 RAU (19% upside, 0% uncertainty). Third is Mert Kömür of FC Augsburg with a 47.0 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 | Patrice Covic SV Werder Bremen | €4.9M | €4.1M-5.8M | +23% | 55.1 |
| #2 | Can Uzun Eintracht Frankfurt | €53.7M | €44.4M-63.0M | +19% | 47.0 |
| #3 | Mert Kömür FC Augsburg | €14.3M | €11.9M-16.8M | +19% | 47.0 |
| #4 | Ibrahim Maza Bayer 04 Leverkusen | €29.8M | €24.7M-35.0M | +19% | 47.0 |
| #5 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.7M | €4.7M-6.7M | +15% | 37.1 |
| #6 | Bence Dárdai VfL Wolfsburg | €8.0M | €6.6M-9.4M | +15% | 37.1 |
| #7 | Jamal Musiala Bayern Munich | €144.9M | €123.1M-166.6M | +11% | 34.2 |
| #8 | Paul Nebel 1.FSV Mainz 05 | €20.1M | €17.0M-23.1M | +11% | 34.2 |
| #9 | Bilal El Khannouss VfB Stuttgart | €35.3M | €30.0M-40.5M | +10% | 30.7 |
| #10 | Isak Hansen-Aarøen SV Werder Bremen | €882K | €730K-1.0M | +10% | 26.9 |
| #11 | Giovanni Reyna Borussia Mönchengladbach | €6.4M | €5.5M-7.4M | +7% | 22.0 |
| #12 | Muhammed Damar TSG 1899 Hoffenheim | €7.4M | €6.3M-8.5M | +6% | 18.4 |
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 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)
1.FSV Mainz 05's Paul Nebel in the 21-23 age bracket has the highest Age-Share Concentration at +16.4%. That means Jamal Musiala captures 66.4% of total market value while representing only 50.0% of players in their age group-showing dominant elite status.
In second is Borussia Mönchengladbach's Giovanni Reyna with a +16.4% ASC (66.4% value share vs 50.0% player share in 21-23 bracket). Third is Jamal Musiala of Bayern Munich with a +16.4% ASC (66.4% value vs 50.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +16.4% ASC means the player captures 16.4% 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 | Paul Nebel 1.FSV Mainz 05 | 21-23 | 66.4% | 50.0% | +16.4% |
| #2 | Giovanni Reyna Borussia Mönchengladbach | 21-23 | 66.4% | 50.0% | +16.4% |
| #3 | Jamal Musiala Bayern Munich | 21-23 | 66.4% | 50.0% | +16.4% |
| #4 | Bilal El Khannouss VfB Stuttgart | 21-23 | 66.4% | 50.0% | +16.4% |
| #5 | Isak Hansen-Aarøen SV Werder Bremen | 21-23 | 66.4% | 50.0% | +16.4% |
| #6 | Muhammed Damar TSG 1899 Hoffenheim | 21-23 | 66.4% | 50.0% | +16.4% |
| #7 | Patrice Covic SV Werder Bremen | U21 | 33.6% | 50.0% | -16.4% |
| #8 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | U21 | 33.6% | 50.0% | -16.4% |
| #9 | Mert Kömür FC Augsburg | U21 | 33.6% | 50.0% | -16.4% |
| #10 | Bence Dárdai VfL Wolfsburg | U21 | 33.6% | 50.0% | -16.4% |
| #11 | Can Uzun Eintracht Frankfurt | U21 | 33.6% | 50.0% | -16.4% |
| #12 | Ibrahim Maza Bayer 04 Leverkusen | U21 | 33.6% | 50.0% | -16.4% |
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: 4 immediate targets, 8 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
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 €130.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Giovanni Reyna Borussia Mönchengladbach | €6.0M | €12.0M | -1.00 | Good Value |
Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.0M | €12.0M | -0.29 | Fair Value |
Patrice Covic SV Werder Bremen | €4.0M | €12.0M | 0.00 | Fair Value |
Paul Nebel 1.FSV Mainz 05 | €18.0M | €12.0M | 0.00 | Fair Value |
Jamal Musiala Bayern Munich | €130.0M | €12.0M | 0.00 | Fair Value |
Bilal El Khannouss VfB Stuttgart | €32.0M | €12.0M | 0.00 | Fair Value |
Isak Hansen-Aarøen SV Werder Bremen | €800K | €12.0M | 0.00 | Fair Value |
Bence Dárdai VfL Wolfsburg | €7.0M | €12.0M | 0.00 | Fair Value |
Muhammed Damar TSG 1899 Hoffenheim | €7.0M | €12.0M | 0.00 | Fair Value |
Can Uzun Eintracht Frankfurt | €45.0M | €12.0M | 0.00 | Fair Value |
Ibrahim Maza Bayer 04 Leverkusen | €25.0M | €12.0M | 0.00 | Fair Value |
Mert Kömür FC Augsburg | €12.0M | €12.0M | +0.71 | Above Market |