Best U23 Young Attacking Midfielders in the Bundesliga
28 players aged 23 or under · ranked by Analytical Strength Index
Best Young Attacking Midfielders in the Bundesliga (Jul 2026)
Ranked by Analytical Strength Index
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.
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
Xavi Simons
RB Leipzig • 23 years old
€69.2M
€80.0M
+15.6%
Expected: €89.1M
94.6
Lennart Karl
Bayern Munich • 18 years old
€51.9M
€60.0M
+15.6%
Expected: €77.1M
88.4
Can Uzun
Eintracht Frankfurt • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €53.7M
85.9
Bilal El Khannouss
VfB Stuttgart • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €31.8M
78.5
Brajan Gruda
RB Leipzig • 22 years old
€24.2M
€28.0M
+15.6%
Expected: €29.6M
77.6
Paul Nebel
1.FSV Mainz 05 • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.3M
72.7
Farès Chaïbi
Eintracht Frankfurt • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €16.1M
70.4
Mert Kömür
FC Augsburg • 21 years old
€10.4M
€12.0M
+15.6%
Expected: €13.2M
66.4
Bence Dárdai
VfL Wolfsburg • 20 years old
€6.1M
€7.0M
+15.6%
Expected: €8.0M
55.5
Giovanni Reyna
Borussia Dortmund • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Francis Onyeka
Bayer 04 Leverkusen • 19 years old
€5.2M
€6.0M
+15.6%
Expected: €7.1M
53.0
Arijon Ibrahimovic
1. Fußballclub Heidenheim 1846 • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.3
Patrice Covic
SV Werder Bremen • 19 years old
€3.5M
€4.0M
+15.6%
Expected: €4.8M
48.0
Maurice Krattenmacher
Bayern Munich • 20 years old
€3.0M
€3.5M
+15.6%
Expected: €4.0M
47.1
Krisztián Lisztes
Eintracht Frankfurt • 21 years old
€1.5M
€1.7M
+15.6%
Expected: €1.9M
34.9
Muhammed Damar
TSG 1899 Hoffenheim • 22 years old
€865K
€1.0M
+15.6%
Expected: €1.1M
28.9
Anton Kade
FC Augsburg • 22 years old
€778K
€900K
+15.6%
Expected: €953K
27.6
Lilian Egloff
VfB Stuttgart • 23 years old
€692K
€800K
+15.6%
Expected: €857K
26.8
Isak Hansen-Aarøen
SV Werder Bremen • 21 years old
€692K
€800K
+15.6%
Expected: €882K
25.5
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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 13 clubs with €457.8M combined value.
Age Distribution: Bundesliga Young Attacking Midfielders
The Bundesliga CAM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (20 players, 71% of market). The 21-23 age group holds the most value at €326.7M, averaging €16.3M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (8 players)
21-23 Years (20 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Young Attacking Midfielders (11% of players) control €270.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 11% of the Bundesliga CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Young Attacking Midfielders
Among 13 Bundesliga clubs, Bayern Munich leads with 3 Young Attacking Midfielders worth €193.5M (averaging €64.5M per player). The top 10 clubs account for 86% of tracked Young Attacking Midfielders.
Bayern Munich (3 Young Attacking Midfielders)
RB Leipzig (2 Young Attacking Midfielders)
Eintracht Frankfurt (3 Young Attacking Midfielders)
VfB Stuttgart (3 Young Attacking Midfielders)
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 130.00×. That means Jamal Musiala is valued 130.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is RB Leipzig's Xavi Simons, who is 23 years old, with a 80.00× PPVE. Third is Bilal El Khannouss of VfB Stuttgart, who is 22 years old with a 30.00× 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 130.00× means the player is worth 12900% 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 | €1.0M | 130.00× |
| #2 | Xavi Simons RB Leipzig | 23 | 21-23 | €80.0M | €1.0M | 80.00× |
| #3 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €30.0M | €1.0M | 30.00× |
| #4 | Brajan Gruda RB Leipzig | 22 | 21-23 | €28.0M | €1.0M | 28.00× |
| #5 | Paul Nebel 1.FSV Mainz 05 | 23 | 21-23 | €18.0M | €1.0M | 18.00× |
| #6 | Farès Chaïbi Eintracht Frankfurt | 23 | 21-23 | €15.0M | €1.0M | 15.00× |
| #7 | Mert Kömür FC Augsburg | 21 | 21-23 | €12.0M | €1.0M | 12.00× |
| #8 | Lennart Karl Bayern Munich | 18 | U21 | €60.0M | €6.0M | 10.00× |
| #9 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €6.0M | 7.50× |
| #10 | Giovanni Reyna Borussia Dortmund | 23 | 21-23 | €6.0M | €1.0M | 6.00× |
| #11 | Krisztián Lisztes Eintracht Frankfurt | 21 | 21-23 | €1.7M | €1.0M | 1.70× |
| #12 | Bence Dárdai VfL Wolfsburg | 20 | U21 | €7.0M | €6.0M | 1.17× |
| #13 | Muhammed Damar TSG 1899 Hoffenheim | 22 | 21-23 | €1.0M | €1.0M | 1.00× |
| #14 | Francis Onyeka Bayer 04 Leverkusen | 19 | U21 | €6.0M | €6.0M | 1.00× |
| #15 | Anton Kade FC Augsburg | 22 | 21-23 | €900K | €1.0M | 0.90× |
| #16 | Arijon Ibrahimovic 1. Fußballclub Heidenheim 1846 | 20 | U21 | €5.0M | €6.0M | 0.83× |
| #17 | Lilian Egloff VfB Stuttgart | 23 | 21-23 | €800K | €1.0M | 0.80× |
| #18 | Isak Hansen-Aarøen SV Werder Bremen | 21 | 21-23 | €800K | €1.0M | 0.80× |
| #19 | Patrice Covic SV Werder Bremen | 19 | U21 | €4.0M | €6.0M | 0.67× |
| #20 | Leon Opitz SV Werder Bremen | 21 | 21-23 | €600K | €1.0M | 0.60× |
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)
Bayern Munich's Lennart Karl at 18 years old has the highest Return-to-Peak Potential at +44%. That means Lennart Karl is projected to appreciate 44% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is SV Werder Bremen's Patrice Covic, who is 19 years old, with a +40% RPP (7 years to peak). Third is Francis Onyeka of Bayer 04 Leverkusen, 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 | Lennart Karl Bayern Munich | 18 | 8 | €60.0M | €107.2M | +44% |
| #2 | Patrice Covic SV Werder Bremen | 19 | 7 | €4.0M | €6.6M | +40% |
| #3 | Francis Onyeka Bayer 04 Leverkusen | 19 | 7 | €6.0M | €10.0M | +40% |
| #4 | Arijon Ibrahimovic 1. Fußballclub Heidenheim 1846 | 20 | 6 | €5.0M | €7.7M | +35% |
| #5 | Bence Dárdai VfL Wolfsburg | 20 | 6 | €7.0M | €10.8M | +35% |
| #6 | Can Uzun Eintracht Frankfurt | 20 | 6 | €45.0M | €69.6M | +35% |
| #7 | Maurice Krattenmacher Bayern Munich | 20 | 6 | €3.5M | €5.4M | +35% |
| #8 | Ibrahim Maza Bayer 04 Leverkusen | 20 | 6 | €600K | €927K | +35% |
| #9 | Laurin Ulrich VfB Stuttgart | 21 | 5 | €500K | €719K | +30% |
| #10 | Florian Micheler TSG 1899 Hoffenheim | 21 | 5 | €500K | €719K | +30% |
| #11 | Ayman Aourir Bayer 04 Leverkusen | 21 | 5 | €300K | €431K | +30% |
| #12 | Leon Opitz SV Werder Bremen | 21 | 5 | €600K | €862K | +30% |
| #13 | Krisztián Lisztes Eintracht Frankfurt | 21 | 5 | €1.7M | €2.4M | +30% |
| #14 | Isak Hansen-Aarøen SV Werder Bremen | 21 | 5 | €800K | €1.1M | +30% |
| #15 | Mert Kömür FC Augsburg | 21 | 5 | €12.0M | €17.2M | +30% |
| #16 | Bilal El Khannouss VfB Stuttgart | 22 | 4 | €30.0M | €40.1M | +25% |
| #17 | Brajan Gruda RB Leipzig | 22 | 4 | €28.0M | €37.4M | +25% |
| #18 | Muhammed Damar TSG 1899 Hoffenheim | 22 | 4 | €1.0M | €1.3M | +25% |
| #19 | Anton Kade FC Augsburg | 22 | 4 | €900K | €1.2M | +25% |
| #20 | Giovanni Reyna Borussia Dortmund | 23 | 3 | €6.0M | €7.5M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Bayern Munich's Lennart Karl has the highest Risk-Adjusted Upside at 74.2. That means Lennart Karl has 29% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Eintracht Frankfurt's Can Uzun with a 54.2 RAU (19% upside, 0% uncertainty). Third is Patrice Covic of SV Werder Bremen with a 53.6 RAU (19% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 74.2 means the upside is 74.2× 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 | Lennart Karl Bayern Munich | €77.1M | €65.6M-88.6M | +29% | 74.2 |
| #2 | Can Uzun Eintracht Frankfurt | €53.7M | €45.7M-61.7M | +19% | 54.2 |
| #3 | Patrice Covic SV Werder Bremen | €4.8M | €4.1M-5.5M | +19% | 53.6 |
| #4 | Francis Onyeka Bayer 04 Leverkusen | €7.1M | €6.1M-8.2M | +19% | 53.6 |
| #5 | Ibrahim Maza Bayer 04 Leverkusen | €688K | €585K-791K | +15% | 42.8 |
| #6 | Arijon Ibrahimovic 1. Fußballclub Heidenheim 1846 | €5.7M | €4.9M-6.6M | +15% | 42.8 |
| #7 | Bence Dárdai VfL Wolfsburg | €8.0M | €6.8M-9.2M | +15% | 42.8 |
| #8 | Maurice Krattenmacher Bayern Munich | €4.0M | €3.4M-4.6M | +15% | 42.8 |
| #9 | Jamal Musiala Bayern Munich | €144.9M | €126.0M-163.7M | +11% | 39.5 |
| #10 | Xavi Simons RB Leipzig | €89.1M | €77.6M-100.7M | +11% | 39.5 |
| #11 | Mert Kömür FC Augsburg | €13.2M | €11.3M-15.2M | +10% | 31.1 |
| #12 | Laurin Ulrich VfB Stuttgart | €551K | €469K-634K | +10% | 31.1 |
| #13 | Florian Micheler TSG 1899 Hoffenheim | €551K | €469K-634K | +10% | 31.1 |
| #14 | Ayman Aourir Bayer 04 Leverkusen | €331K | €281K-380K | +10% | 31.1 |
| #15 | Leon Opitz SV Werder Bremen | €662K | €563K-760K | +10% | 31.1 |
| #16 | Krisztián Lisztes Eintracht Frankfurt | €1.9M | €1.6M-2.2M | +10% | 31.1 |
| #17 | Isak Hansen-Aarøen SV Werder Bremen | €882K | €750K-1.0M | +10% | 31.1 |
| #18 | Juan Cabrera FC Augsburg | €321K | €279K-363K | +7% | 25.4 |
| #19 | Vladislav Cherny Arminia Bielefeld | €134K | €116K-151K | +7% | 25.4 |
| #20 | Jakob Löpping SV Werder Bremen | €134K | €116K-151K | +7% | 25.4 |
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 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)
VfB Stuttgart's Lilian Egloff in the 21-23 age bracket has the highest Age-Share Concentration at +-0.1%. That means Jamal Musiala captures 71.4% of total market value while representing only 71.4% of players in their age group-showing dominant elite status.
In second is 1.FSV Mainz 05's Paul Nebel with a +-0.1% ASC (71.4% value share vs 71.4% player share in 21-23 bracket). Third is Giovanni Reyna of Borussia Dortmund with a +-0.1% ASC (71.4% value vs 71.4% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-0.1% ASC means the player captures -0.1% 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 | Lilian Egloff VfB Stuttgart | 21-23 | 71.4% | 71.4% | -0.1% |
| #2 | Paul Nebel 1.FSV Mainz 05 | 21-23 | 71.4% | 71.4% | -0.1% |
| #3 | Giovanni Reyna Borussia Dortmund | 21-23 | 71.4% | 71.4% | -0.1% |
| #4 | Xavi Simons RB Leipzig | 21-23 | 71.4% | 71.4% | -0.1% |
| #5 | Jamal Musiala Bayern Munich | 21-23 | 71.4% | 71.4% | -0.1% |
| #6 | Vladislav Cherny Arminia Bielefeld | 21-23 | 71.4% | 71.4% | -0.1% |
| #7 | Anton Kade FC Augsburg | 21-23 | 71.4% | 71.4% | -0.1% |
| #8 | Juan Cabrera FC Augsburg | 21-23 | 71.4% | 71.4% | -0.1% |
| #9 | Bilal El Khannouss VfB Stuttgart | 21-23 | 71.4% | 71.4% | -0.1% |
| #10 | Isak Hansen-Aarøen SV Werder Bremen | 21-23 | 71.4% | 71.4% | -0.1% |
| #11 | Jakob Löpping SV Werder Bremen | 21-23 | 71.4% | 71.4% | -0.1% |
| #12 | Ayman Aourir Bayer 04 Leverkusen | 21-23 | 71.4% | 71.4% | -0.1% |
| #13 | Brajan Gruda RB Leipzig | 21-23 | 71.4% | 71.4% | -0.1% |
| #14 | Laurin Ulrich VfB Stuttgart | 21-23 | 71.4% | 71.4% | -0.1% |
| #15 | Mert Kömür FC Augsburg | 21-23 | 71.4% | 71.4% | -0.1% |
| #16 | Muhammed Damar TSG 1899 Hoffenheim | 21-23 | 71.4% | 71.4% | -0.1% |
| #17 | Florian Micheler TSG 1899 Hoffenheim | 21-23 | 71.4% | 71.4% | -0.1% |
| #18 | Leon Opitz SV Werder Bremen | 21-23 | 71.4% | 71.4% | -0.1% |
| #19 | Farès Chaïbi Eintracht Frankfurt | 21-23 | 71.4% | 71.4% | -0.1% |
| #20 | Krisztián Lisztes Eintracht Frankfurt | 21-23 | 71.4% | 71.4% | -0.1% |
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: 4 immediate targets, 24 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, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Giovanni Reyna Borussia Dortmund | €6.0M | €4.0M | -1.00 | Good Value |
Xavi Simons RB Leipzig | €80.0M | €4.0M | -1.00 | Good Value |
Ibrahim Maza Bayer 04 Leverkusen | €600K | €4.0M | -0.85 | Good Value |
Vladislav Cherny Arminia Bielefeld | €125K | €4.0M | -0.79 | Good Value |
Jakob Löpping SV Werder Bremen | €125K | €4.0M | -0.79 | Good Value |
Arijon Ibrahimovic 1. Fußballclub Heidenheim 1846 | €5.0M | €4.0M | -0.50 | Fair Value |
Juan Cabrera FC Augsburg | €300K | €4.0M | -0.50 | Fair Value |
Ayman Aourir Bayer 04 Leverkusen | €300K | €4.0M | -0.50 | Fair Value |
Farès Chaïbi Eintracht Frankfurt | €15.0M | €4.0M | -0.23 | Fair Value |
Laurin Ulrich VfB Stuttgart | €500K | €4.0M | -0.17 | Fair Value |
Florian Micheler TSG 1899 Hoffenheim | €500K | €4.0M | -0.17 | Fair Value |
Lennart Karl Bayern Munich | €60.0M | €4.0M | 0.00 | Fair Value |
Paul Nebel 1.FSV Mainz 05 | €18.0M | €4.0M | 0.00 | Fair Value |
Jamal Musiala Bayern Munich | €130.0M | €4.0M | 0.00 | Fair Value |
Bilal El Khannouss VfB Stuttgart | €30.0M | €4.0M | 0.00 | Fair Value |
Mert Kömür FC Augsburg | €12.0M | €4.0M | 0.00 | Fair Value |
Can Uzun Eintracht Frankfurt | €45.0M | €4.0M | 0.00 | Fair Value |
Leon Opitz SV Werder Bremen | €600K | €4.0M | 0.00 | Fair Value |
Maurice Krattenmacher Bayern Munich | €3.5M | €4.0M | 0.00 | Fair Value |
Francis Onyeka Bayer 04 Leverkusen | €6.0M | €4.0M | 0.00 | Fair Value |
Market Overview: Bundesliga Young Attacking Midfielders 2024-25
Our database tracked 28 Bundesliga Young Attacking Midfielders in the 2024-25 season, representing 13 clubs with a combined market value of €457.8M. The average market value for Bundesliga Young Attacking Midfielders was €16.3M, 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 €69.0M in market value, including Xavi Simons and Lennart Karl.
Age distribution showed the youngest tracked young attacking midfielder was Lennart Karl (18 years, Bayern Munich, €60.0M), 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 28 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 2024-25 season.
How We Rank Bundesliga Young Attacking Midfielders
Our Analytical Strength Index is calibrated specifically for young attacking midfielders, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for CAM
Historical Achievement Index (35%)
Peak career market value for Bundesliga young attacking midfielders, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Bundesliga young attacking midfielders, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 26-27 with 6.0%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Bundesliga receives Top 5 European league premium for competitive intensity and quality of opposition.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
CAM Performance Benchmarks
Peak Age: 26-27 years (technical skill and tactical awareness)
Decline Rate: 6.0% per year (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Midfielder -6.0%/year post-peak, +5%/year pre-peak
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young attacking midfielders
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Bundesliga Young Attacking Midfielders in the 2024-25 season
Who are the most valuable Young Attacking Midfielders in the Bundesliga in 2024-25?
The most valuable young attacking midfielder in the Bundesliga in 2024-25 is Jamal Musiala, who is worth €130.0M and plays for Bayern Munich. The second most valuable is Xavi Simons (€80.0M, RB Leipzig), followed by Lennart Karl (€60.0M, Bayern Munich). Our database tracks 28 Bundesliga Young Attacking Midfielders with comprehensive market valuations updated for the 2024-25 season.
How are Bundesliga Young Attacking Midfielders ranked?
Bundesliga Young Attacking Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Attacking Midfielders. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Bundesliga competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Young Attacking Midfielders peak?
Attacking midfielders typically peak at age 26, with a decline rate of 6.5% per year after peak. This position demands high technical ability, creativity, and burst acceleration, which tend to decline faster than other midfielder attributes. The optimal playing time is around 2,400 minutes per season.
How much does it cost to sign a top young attacking midfielder from the Bundesliga?
Transfer fees for Bundesliga Young Attacking Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young attacking midfielder Jamal Musiala (market value: €130.0M), estimated transfer fees would range from €104.0M to €182.0M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Bundesliga transactions.
What is the value forecast for Bundesliga Young Attacking Midfielders?
Our 1-year forecast model projects market value changes for Bundesliga Young Attacking Midfielders based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-midfielders have ±12-15% volatility. Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Bundesliga young attacking midfielder data come from?
Our Bundesliga young attacking midfielder data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Bundesliga sources and updated monthly for the 2024-25 season to ensure accuracy for recruitment and investment decisions.