Best Attacking Midfielders in the Bundesliga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Attacking Midfielders 2025-26
Our database tracks 39 Bundesliga Attacking Midfielders in the 2025-26 season, representing 20 clubs with a combined market value of €486.3M. The average market value for Bundesliga Attacking Midfielders is €12.5M, with the average age at 25.4 years old.
The most valuable attacking midfielder in the Bundesliga is Jamal Musiala, worth €140.0M and playing for Bayern Munich at 22 years old. The top 5 Attacking Midfielders average €49.2M in market value, including Malik Tillman and Paul Nebel.
Age distribution shows the youngest tracked attacking midfielder is Patrice Covic (18 years, SV Werder Bremen, €2.5M), while the oldest is Andrej Kramaric (34 years, TSG 1899 Hoffenheim, €4.0M). Research shows Attacking Midfielders typically peak at age 26.
Our 1-year forecast model projects 23 Attacking Midfielders (59%) 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 actively developing with emerging talent in the 2025-26 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 20 clubs with €486.3M combined value.
Age Distribution: Bundesliga Attacking Midfielders
The Bundesliga CAM market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (10 players, 26% of market). The 21-23 age group holds the most value at €264.0M, averaging €26.4M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (7 players)
21-23 Years (10 players)
24-26 Years (6 players)
27-29 Years (8 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Attacking Midfielders (10% of players) control €224.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Bundesliga CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Attacking Midfielders
Among 20 Bundesliga clubs, Bayern Munich leads with 1 Attacking Midfielders worth €140.0M (averaging €140.0M per player). The top 10 clubs account for 62% of tracked Attacking Midfielders.
Bayern Munich (1 Attacking Midfielders)
Bayer 04 Leverkusen (4 Attacking Midfielders)
SV Werder Bremen (4 Attacking Midfielders)
VfL Wolfsburg (3 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.
Jamal Musiala
Bayern Munich • 22 years old
€121.1M
€140.0M
+15.6%
Expected: €176.5M
94.4
Malik Tillman
Bayer 04 Leverkusen • 23 years old
€27.7M
€32.0M
+15.6%
Expected: €38.7M
81.2
Paul Nebel
1.FSV Mainz 05 • 23 years old
€20.8M
€24.0M
+15.6%
Expected: €29.0M
74.7
Bilal El Khannouss
VfB Stuttgart • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €36.8M
74.4
Fábio Vieira
Hamburger SV • 25 years old
€19.0M
€22.0M
+15.6%
Expected: €24.3M
73.6
Julian Brandt
Borussia Dortmund • 29 years old
€25.0M
€25.0M
+0.0%
Expected: €24.6M
72.8
Romano Schmid
SV Werder Bremen • 25 years old
€14.7M
€17.0M
+15.6%
Expected: €18.8M
70.5
Lovro Majer
VfL Wolfsburg • 27 years old
€17.0M
€17.0M
+0.0%
Expected: €16.7M
69.7
Claudio Echeverri
Bayer 04 Leverkusen • 19 years old
€15.6M
€18.0M
+15.6%
Expected: €25.5M
66.8
Can Uzun
Eintracht Frankfurt • 19 years old
€15.6M
€18.0M
+15.6%
Expected: €25.5M
66.8
Cameron Puertas
SV Werder Bremen • 27 years old
€13.0M
€13.0M
+0.0%
Expected: €12.8M
66.4
Christoph Baumgartner
RB Leipzig • 26 years old
€10.4M
€12.0M
+15.6%
Expected: €12.9M
66.2
Alexis Claude-Maurice
FC Augsburg • 27 years old
€12.0M
€12.0M
+0.0%
Expected: €11.8M
65.4
Ibrahim Maza
Bayer 04 Leverkusen • 19 years old
€10.4M
€12.0M
+15.6%
Expected: €17.0M
61.9
Bence Dárdai
VfL Wolfsburg • 19 years old
€10.4M
€12.0M
+15.6%
Expected: €17.0M
61.9
Yuito Suzuki
SC Freiburg • 23 years old
€8.6M
€10.0M
+15.6%
Expected: €11.6M
60.2
Farès Chaïbi
Eintracht Frankfurt • 22 years old
€7.8M
€9.0M
+15.6%
Expected: €10.9M
57.9
Giovanni Reyna
Borussia Mönchengladbach • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €8.5M
54.8
Fabian Rieder
FC Augsburg • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €7.0M
54.0
Muhammed Damar
TSG 1899 Hoffenheim • 21 years old
€6.1M
€7.0M
+15.6%
Expected: €8.8M
53.7
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 22 years old has the highest Pre-Peak Value Efficiency at 14.00×. That means Jamal Musiala is valued 14.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Bayer 04 Leverkusen's Malik Tillman, who is 23 years old, with a 3.20× PPVE. Third is Bilal El Khannouss of VfB Stuttgart, who is 21 years old with a 2.80× 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 14.00× means the player is worth 1300% 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 | 22 | 21-23 | €140.0M | €10.0M | 14.00× |
| #2 | Malik Tillman Bayer 04 Leverkusen | 23 | 21-23 | €32.0M | €10.0M | 3.20× |
| #3 | Bilal El Khannouss VfB Stuttgart | 21 | 21-23 | €28.0M | €10.0M | 2.80× |
| #4 | Paul Nebel 1.FSV Mainz 05 | 23 | 21-23 | €24.0M | €10.0M | 2.40× |
| #5 | Can Uzun Eintracht Frankfurt | 19 | U21 | €18.0M | €12.0M | 1.50× |
| #6 | Claudio Echeverri Bayer 04 Leverkusen | 19 | U21 | €18.0M | €12.0M | 1.50× |
| #7 | Fábio Vieira Hamburger SV | 25 | 24-26 | €22.0M | €17.0M | 1.29× |
| #8 | Romano Schmid SV Werder Bremen | 25 | 24-26 | €17.0M | €17.0M | 1.00× |
| #9 | Yuito Suzuki SC Freiburg | 23 | 21-23 | €10.0M | €10.0M | 1.00× |
| #10 | Bence Dárdai VfL Wolfsburg | 19 | U21 | €12.0M | €12.0M | 1.00× |
| #11 | Ibrahim Maza Bayer 04 Leverkusen | 19 | U21 | €12.0M | €12.0M | 1.00× |
| #12 | Farès Chaïbi Eintracht Frankfurt | 22 | 21-23 | €9.0M | €10.0M | 0.90× |
| #13 | Giovanni Reyna Borussia Mönchengladbach | 22 | 21-23 | €7.0M | €10.0M | 0.70× |
| #14 | Muhammed Damar TSG 1899 Hoffenheim | 21 | 21-23 | €7.0M | €10.0M | 0.70× |
| #15 | Fabian Rieder FC Augsburg | 23 | 21-23 | €6.0M | €10.0M | 0.60× |
| #16 | Mert Kömür FC Augsburg | 20 | U21 | €5.0M | €12.0M | 0.42× |
| #17 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | 19 | U21 | €4.0M | €12.0M | 0.33× |
| #18 | Patrice Covic SV Werder Bremen | 18 | U21 | €2.5M | €12.0M | 0.21× |
| #19 | Immanuel Pherai Hamburger SV | 24 | 24-26 | €2.0M | €17.0M | 0.12× |
| #20 | Isak Hansen-Aarøen SV Werder Bremen | 21 | 21-23 | €1.0M | €10.0M | 0.10× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
VfL Wolfsburg's Bence Dárdai has the highest Risk-Adjusted Upside at 85.5. That means Ibrahim Maza has 42% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Bayer 04 Leverkusen's Ibrahim Maza with a 85.5 RAU (42% upside, 0% uncertainty). Third is Can Uzun of Eintracht Frankfurt with a 85.5 RAU (42% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 85.5 means the upside is 85.5× 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 | Bence Dárdai VfL Wolfsburg | €17.0M | €14.1M-20.0M | +42% | 85.5 |
| #2 | Ibrahim Maza Bayer 04 Leverkusen | €17.0M | €14.1M-20.0M | +42% | 85.5 |
| #3 | Can Uzun Eintracht Frankfurt | €25.5M | €21.1M-29.9M | +42% | 85.5 |
| #4 | Claudio Echeverri Bayer 04 Leverkusen | €25.5M | €21.1M-29.9M | +42% | 85.5 |
| #5 | Patrice Covic SV Werder Bremen | €3.5M | €2.9M-4.1M | +41% | 84.7 |
| #6 | Arijon Ibrahimovic 1.FC Heidenheim 1846 | €5.5M | €4.5M-6.4M | +36% | 77.1 |
| #7 | Bilal El Khannouss VfB Stuttgart | €36.8M | €30.4M-43.1M | +31% | 69.1 |
| #8 | Mert Kömür FC Augsburg | €6.6M | €5.4M-7.7M | +31% | 69.0 |
| #9 | Jamal Musiala Bayern Munich | €176.5M | €150.0M-203.0M | +26% | 68.9 |
| #10 | Muhammed Damar TSG 1899 Hoffenheim | €8.8M | €7.3M-10.4M | +26% | 60.1 |
| #11 | Isak Hansen-Aarøen SV Werder Bremen | €1.3M | €1.0M-1.5M | +26% | 60.1 |
| #12 | Farès Chaïbi Eintracht Frankfurt | €10.9M | €9.3M-12.5M | +21% | 58.1 |
| #13 | Giovanni Reyna Borussia Mönchengladbach | €8.5M | €7.2M-9.8M | +21% | 58.1 |
| #14 | Malik Tillman Bayer 04 Leverkusen | €38.7M | €32.9M-44.5M | +21% | 57.4 |
| #15 | Paul Nebel 1.FSV Mainz 05 | €29.0M | €24.6M-33.3M | +21% | 57.4 |
| #16 | Yuito Suzuki SC Freiburg | €11.6M | €9.9M-13.3M | +16% | 46.2 |
| #17 | Fabian Rieder FC Augsburg | €7.0M | €5.9M-8.0M | +16% | 46.2 |
| #18 | Immanuel Pherai Hamburger SV | €2.2M | €1.9M-2.6M | +11% | 33.1 |
| #19 | Fábio Vieira Hamburger SV | €24.3M | €20.6M-27.9M | +10% | 31.2 |
| #20 | Romano Schmid SV Werder Bremen | €18.8M | €15.9M-21.6M | +10% | 31.2 |
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 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)
Bayer 04 Leverkusen's Malik Tillman in the 21-23 age bracket has the highest Age-Share Concentration at +28.6%. That means Jamal Musiala captures 54.3% of total market value while representing only 25.6% of players in their age group—showing dominant elite status.
In second is 1.FSV Mainz 05's Paul Nebel with a +28.6% ASC (54.3% value share vs 25.6% player share in 21-23 bracket). Third is Giovanni Reyna of Borussia Mönchengladbach with a +28.6% ASC (54.3% value vs 25.6% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +28.6% ASC means the player captures 28.6% 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 | Malik Tillman Bayer 04 Leverkusen | 21-23 | 54.3% | 25.6% | +28.6% |
| #2 | Paul Nebel 1.FSV Mainz 05 | 21-23 | 54.3% | 25.6% | +28.6% |
| #3 | Giovanni Reyna Borussia Mönchengladbach | 21-23 | 54.3% | 25.6% | +28.6% |
| #4 | Fabian Rieder FC Augsburg | 21-23 | 54.3% | 25.6% | +28.6% |
| #5 | Jamal Musiala Bayern Munich | 21-23 | 54.3% | 25.6% | +28.6% |
| #6 | Bilal El Khannouss VfB Stuttgart | 21-23 | 54.3% | 25.6% | +28.6% |
| #7 | Yuito Suzuki SC Freiburg | 21-23 | 54.3% | 25.6% | +28.6% |
| #8 | Isak Hansen-Aarøen SV Werder Bremen | 21-23 | 54.3% | 25.6% | +28.6% |
| #9 | Muhammed Damar TSG 1899 Hoffenheim | 21-23 | 54.3% | 25.6% | +28.6% |
| #10 | Farès Chaïbi Eintracht Frankfurt | 21-23 | 54.3% | 25.6% | +28.6% |
| #11 | Florian Kainz 1.FC Köln | 30+ | 4.5% | 20.5% | -16.0% |
| #12 | Kevin Stöger Borussia Mönchengladbach | 30+ | 4.5% | 20.5% | -16.0% |
| #13 | László Kleinheisler Without Club | 30+ | 4.5% | 20.5% | -16.0% |
| #14 | Jae-sung Lee 1.FSV Mainz 05 | 30+ | 4.5% | 20.5% | -16.0% |
| #15 | Andrej Kramaric TSG 1899 Hoffenheim | 30+ | 4.5% | 20.5% | -16.0% |
| #16 | Christian Eriksen VfL Wolfsburg | 30+ | 4.5% | 20.5% | -16.0% |
| #17 | Jonas Hofmann Bayer 04 Leverkusen | 30+ | 4.5% | 20.5% | -16.0% |
| #18 | Mario Götze Eintracht Frankfurt | 30+ | 4.5% | 20.5% | -16.0% |
| #19 | Julian Brandt Borussia Dortmund | 27-29 | 14.7% | 20.5% | -5.8% |
| #20 | Daniel-Kofi Kyereh SC Freiburg | 27-29 | 14.7% | 20.5% | -5.8% |
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: 17 immediate targets, 3 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 €140.0M. 1 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
László Kleinheisler Without Club | €300K | €6.0M | -1.60 | Undervalued |
Patrice Covic SV Werder Bremen | €2.5M | €6.0M | -1.00 | Good Value |
Romano Schmid SV Werder Bremen | €17.0M | €6.0M | -1.00 | Good Value |
Alexis Claude-Maurice FC Augsburg | €12.0M | €6.0M | -1.00 | Good Value |
Lovro Majer VfL Wolfsburg | €17.0M | €6.0M | -1.00 | Good Value |
Paul Nebel 1.FSV Mainz 05 | €24.0M | €6.0M | -1.00 | Good Value |
Mert Kömür FC Augsburg | €5.0M | €6.0M | -1.00 | Good Value |
Blendi Idrizi SCR Altach | €350K | €6.0M | -0.96 | Good Value |
Florian Kainz 1.FC Köln | €1.7M | €6.0M | -0.90 | Good Value |
Jonas Hofmann Bayer 04 Leverkusen | €2.0M | €6.0M | -0.75 | Good Value |
Daniel-Kofi Kyereh SC Freiburg | €800K | €6.0M | -0.58 | Good Value |
Jae-sung Lee 1.FSV Mainz 05 | €2.5M | €6.0M | -0.50 | Fair Value |
Fabian Rieder FC Augsburg | €6.0M | €6.0M | -0.50 | Fair Value |
Anderson Niangbo Without Club | €150K | €6.0M | -0.48 | Fair Value |
Kevin Stöger Borussia Mönchengladbach | €3.5M | €6.0M | 0.00 | Fair Value |
Julian Brandt Borussia Dortmund | €25.0M | €6.0M | 0.00 | Fair Value |
Christoph Baumgartner RB Leipzig | €12.0M | €6.0M | 0.00 | Fair Value |
Danel Sinani FC St. Pauli | €1.5M | €6.0M | 0.00 | Fair Value |
Immanuel Pherai Hamburger SV | €2.0M | €6.0M | 0.00 | Fair Value |
Cameron Puertas SV Werder Bremen | €13.0M | €6.0M | 0.00 | Fair Value |