Best Attacking Midfielders in the Bundesliga (Oct 2026)
112 players tracked across 29 clubs. Updated October 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
€86.5M
€100.0M
+15.6%
Expected: €94.6M
94.6
Lennart Karl
Bayern Munich • 18 years old
€51.9M
€60.0M
+15.6%
Expected: €63.3M
88.6
Can Uzun
Eintracht Frankfurt • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €47.5M
86.0
Ibrahim Maza
Bayer 04 Leverkusen • 20 years old
€38.9M
€45.0M
+15.6%
Expected: €47.5M
86.0
Xavi Simons
RB Leipzig • 23 years old
€34.6M
€40.0M
+15.6%
Expected: €38.9M
85.8
Christoph Baumgartner
RB Leipzig • 27 years old
€34.6M
€40.0M
+15.6%
84.8
Bilal El Khannouss
VfB Stuttgart • 22 years old
€30.3M
€35.0M
+15.6%
83.7
Malik Tillman
Bayer 04 Leverkusen • 24 years old
€25.9M
€30.0M
+15.6%
79.1
Brajan Gruda
RB Leipzig • 22 years old
€24.2M
€28.0M
+15.6%
77.4
Paul Nebel
1.FSV Mainz 05 • 24 years old
€15.6M
€18.0M
+15.6%
72.7
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Sign up freeJamal Musiala
Bayern Munich · 23 years old
94.6
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
€82.3M - €106.8M
Lennart Karl
Bayern Munich · 18 years old
88.6
ASI
Current Value
€60.0M
% Change
+15.6%
1yr Forecast Range
€53.9M - €72.8M
Can Uzun
Eintracht Frankfurt · 20 years old
86.0
ASI
Current Value
€45.0M
% Change
+15.6%
1yr Forecast Range
€40.4M - €54.6M
Ibrahim Maza
Bayer 04 Leverkusen · 20 years old
86.0
ASI
Current Value
€45.0M
% Change
+15.6%
1yr Forecast Range
€40.4M - €54.6M
Xavi Simons
RB Leipzig · 23 years old
85.8
ASI
Current Value
€40.0M
% Change
+15.6%
1yr Forecast Range
€33.9M - €44.0M
Christoph Baumgartner
RB Leipzig · 27 years old
84.8
ASI
Current Value
€40.0M
% Change
+15.6%
1yr Forecast Range
Bilal El Khannouss
VfB Stuttgart · 22 years old
83.7
ASI
Current Value
€35.0M
% Change
+15.6%
1yr Forecast Range
Malik Tillman
Bayer 04 Leverkusen · 24 years old
79.1
ASI
Current Value
€30.0M
% Change
+15.6%
1yr Forecast Range
Brajan Gruda
RB Leipzig · 22 years old
77.4
ASI
Current Value
€28.0M
% Change
+15.6%
1yr Forecast Range
Paul Nebel
1.FSV Mainz 05 · 24 years old
72.7
ASI
Current Value
€18.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Bundesliga Attacking Midfielders (updated October 2026)
Our database tracks 112 Bundesliga Attacking Midfielders as of October 2026, representing 29 clubs with a combined market value of €679.1M. The average market value for Bundesliga Attacking Midfielders is €6.1M, with the average age at 28 years old.
The most valuable attacking midfielder in the Bundesliga is Jamal Musiala, worth €100.0M and playing for Bayern Munich at 23 years old. The top 5 Attacking Midfielders average €58.0M in market value, including Lennart Karl and Can Uzun.
Age distribution shows the youngest tracked attacking midfielder is Lennart Karl (18 years, Bayern Munich, €60.0M), while the oldest is Ronny (40 years, Hertha BSC, €300K). Research shows Attacking Midfielders typically peak at age 27.
Our 1-year forecast model projects 34 Attacking Midfielders (30%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Bundesliga market for Attacking Midfielders remains highly competitive with significant transfer activity expected as of October 2026.
Explore Market Size by Position in Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Attacking Midfielders. Identify undervalued assets and track market momentum across 29 clubs with €679.1M combined value.
Age Distribution: Bundesliga Attacking Midfielders
The Bundesliga CAM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (48 players, 43% of market). The 21-23 age group holds the most value at €257.4M, averaging €12.9M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (11 players)
21-23 Years (20 players)
24-26 Years (14 players)
27-29 Years (19 players)
Market Value Distribution
Elite Tier Concentration
The top 12 Attacking Midfielders (11% of players) control €474.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the Bundesliga CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Attacking Midfielders
Among 29 Bundesliga clubs, Bayern Munich leads with 4 Attacking Midfielders worth €163.8M (averaging €40.9M per player). The top 10 clubs account for 60% of tracked Attacking Midfielders.
Bayern Munich (4 Attacking Midfielders)
RB Leipzig (5 Attacking Midfielders)
Bayer 04 Leverkusen (6 Attacking Midfielders)
Eintracht Frankfurt (10 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)
Bayer 04 Leverkusen's Malik Tillman at 24 years old has the highest Pre-Peak Value Efficiency at 37.50×. That means Malik Tillman is valued 37.50× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Bayern Munich's Jamal Musiala, who is 23 years old, with a 28.57× PPVE. Third is Paul Nebel of 1.FSV Mainz 05, who is 24 years old with a 22.50× 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 37.50× means the player is worth 3650% 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 | Malik Tillman Bayer 04 Leverkusen | 24 | 24-26 | €30.0M | €800K | 37.50x |
| #2 | Jamal Musiala Bayern Munich | 23 | 21-23 | €100.0M | €3.5M | 28.57x |
| #3 | Paul Nebel 1.FSV Mainz 05 | 24 | 24-26 | €18.0M | €800K | 22.50x |
| #4 | Xavi Simons RB Leipzig | 23 | 21-23 | €40.0M | €3.5M | 11.43x |
| #5 | Lennart Karl Bayern Munich | 18 | U21 | €60.0M | €6.0M | 10.00x |
| #6 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €35.0M | €3.5M | 10.00x |
| #7 | Brajan Gruda RB Leipzig | 22 | 21-23 | €28.0M | €3.5M | 8.00x |
| #8 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €6.0M | 7.50x |
| #9 | Ibrahim Maza Bayer 04 Leverkusen | 20 | U21 | €45.0M | €6.0M | 7.50x |
| #10 | Albert Grønbaek Hamburger SV | 25 | 24-26 | €5.0M | €800K | 6.25x |
| #11 | Farès Chaïbi Eintracht Frankfurt | 23 | 21-23 | €15.0M | €3.5M | 4.29x |
| #12 | Shinta Appelkamp Fortuna Düsseldorf | 25 | 24-26 | €3.0M | €800K | 3.75x |
| #13 | Mert Kömür FC Augsburg | 21 | 21-23 | €12.0M | €3.5M | 3.43x |
| #14 | Immanuel Pherai Hamburger SV | 25 | 24-26 | €2.5M | €800K | 3.13x |
| #15 | Anton Kade FC Augsburg | 22 | 21-23 | €10.0M | €3.5M | 2.86x |
| #16 | Arijon Ibrahimovic 1. Fußballclub Heidenheim 1846 | 20 | U21 | €10.0M | €6.0M | 1.67x |
| #17 | Andrija Maksimovic RB Leipzig | 19 | U21 | €9.0M | €6.0M | 1.50x |
| #18 | Muhammed Damar TSG 1899 Hoffenheim | 22 | 21-23 | €5.0M | €3.5M | 1.43x |
| #19 | Giovanni Reyna Borussia Dortmund | 23 | 21-23 | €4.0M | €3.5M | 1.14x |
| #20 | Lilian Egloff VfB Stuttgart | 24 | 24-26 | €800K | €800K | 1.00x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Unlock Return-to-Peak analysis for Bundesliga Attacking Midfielders.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Bundesliga Attacking Midfielders.
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
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Upgrade to FanAge-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Unlock Age-Share Concentration for Bundesliga Attacking Midfielders.
Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
Unlock the Buy Map for Bundesliga Attacking Midfielders.
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
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Upgrade to FanIf you were Bundesliga's sporting director, who would you sign?
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How We Rank Bundesliga Attacking Midfielders
Our Analytical Strength Index is calibrated specifically for 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 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 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 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: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (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: Compounding and banded around a peak of 27: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• 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 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 Attacking Midfielders, updated October 2026
Who are the most valuable Attacking Midfielders in the Bundesliga right now?
The most valuable attacking midfielder in the Bundesliga today is Jamal Musiala, who is worth €100.0M and plays for Bayern Munich. The second most valuable is Lennart Karl (€60.0M, Bayern Munich), followed by Can Uzun (€45.0M, Eintracht Frankfurt). Our database tracks 112 Bundesliga Attacking Midfielders with comprehensive market valuations updated in October 2026.
How are Bundesliga Attacking Midfielders ranked?
Bundesliga Attacking Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for 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 Attacking Midfielders peak?
Attacking midfielders typically peak at age 27, in line with other midfielders. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, and steeper from 30. This position demands high technical ability, creativity, and burst acceleration. The optimal playing time is around 2,400 minutes per season.
How much does it cost to sign a top attacking midfielder from the Bundesliga?
Transfer fees for Bundesliga Attacking Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked attacking midfielder Jamal Musiala (market value: €100.0M), estimated transfer fees would range from €80.0M to €140.0M 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 Attacking Midfielders?
Our 1-year forecast model projects market value changes for Bundesliga 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 compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), 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 attacking midfielder data come from?
Our Bundesliga 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 (last update October 2026) to ensure accuracy for recruitment and investment decisions.
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