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Under 23 · Bundesliga · updated October 2026

Best U23 Young Attacking Midfielders in the Bundesliga

32 players aged 23 or under · ranked by Analytical Strength Index

Best Young Attacking Midfielders in the Bundesliga (Oct 2026)

31 players tracked across 13 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.

🔍
Age: 18–40
€0M–€200M
Showing 31 of 32

Player Rankings

Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.

#1
J

Jamal Musiala

Bayern Munich · 23 years old

94.6

ASI

Current Value

€100.0M

% Change

+15.6%

1yr Forecast Range

€82.3M - €106.8M

#2
L

Lennart Karl

Bayern Munich · 18 years old

88.6

ASI

Current Value

€60.0M

% Change

+15.6%

1yr Forecast Range

€53.9M - €72.8M

#3
C

Can Uzun

Eintracht Frankfurt · 20 years old

86.0

ASI

Current Value

€45.0M

% Change

+15.6%

1yr Forecast Range

€40.4M - €54.6M

#4
I

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

#5
X

Xavi Simons

RB Leipzig · 23 years old

85.8

ASI

Current Value

€40.0M

% Change

+15.6%

1yr Forecast Range

€33.9M - €44.0M

#6
B

Bilal El Khannouss

VfB Stuttgart · 22 years old

83.7

ASI

Current Value

€35.0M

% Change

+15.6%

1yr Forecast Range

#7
B

Brajan Gruda

RB Leipzig · 22 years old

77.4

ASI

Current Value

€28.0M

% Change

+15.6%

1yr Forecast Range

#8
F

Farès Chaïbi

Eintracht Frankfurt · 23 years old

70.0

ASI

Current Value

€15.0M

% Change

+15.6%

1yr Forecast Range

#9
M

Mert Kömür

FC Augsburg · 21 years old

66.4

ASI

Current Value

€12.0M

% Change

+15.6%

1yr Forecast Range

#10
A

Anton Kade

FC Augsburg · 22 years old

60.9

ASI

Current Value

€10.0M

% Change

+15.6%

1yr Forecast Range

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Market Overview: Bundesliga Young Attacking Midfielders (updated October 2026)

Our database tracks 31 Bundesliga Young Attacking Midfielders as of October 2026, representing 13 clubs with a combined market value of €450.8M. The average market value for Bundesliga Young Attacking Midfielders is €14.5M, with the average age at 21 years old.

The most valuable young attacking midfielder in the Bundesliga is Jamal Musiala, worth €100.0M and playing for Bayern Munich at 23 years old. The top 5 Young Attacking Midfielders average €58.0M in market value, including Lennart Karl and Can Uzun.

Age distribution shows the youngest tracked young attacking midfielder is Lennart Karl (18 years, Bayern Munich, €60.0M), while the oldest is Jamal Musiala (23 years, Bayern Munich, €100.0M). Research shows Young Attacking Midfielders typically peak at age 27.

Our 1-year forecast model projects 24 Young Attacking Midfielders (77%) 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 Young Attacking Midfielders remains actively developing with emerging talent as of October 2026.

Market Intelligence

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 €450.8M combined value.

31
Players Tracked

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, 65% of market). The 21-23 age group holds the most value at €257.4M, averaging €12.9M per player.

U21 years11 players (35%)
€193.3MAvg: €17.6M
Top player: Lennart Karl (€60.0M)
21-23 years20 players (65%)
€257.4MAvg: €12.9M
Top player: Jamal Musiala (€100.0M)

Top Young Attacking Midfielders by Age Bracket

U21 Years (11 players)

1. Lennart Karl(18yo)
€60.0M
2. Can Uzun(20yo)
€45.0M
3. Ibrahim Maza(20yo)
€45.0M
4. Arijon Ibrahimovic(20yo)
€10.0M
5. Andrija Maksimovic(19yo)
€9.0M

21-23 Years (20 players)

1. Jamal Musiala(23yo)
€100.0M
2. Xavi Simons(23yo)
€40.0M
3. Bilal El Khannouss(22yo)
€35.0M
4. Brajan Gruda(22yo)
€28.0M
5. Farès Chaïbi(23yo)
€15.0M

Market Value Distribution

Elite Tier Concentration

55%of market value

The top 4 Young Attacking Midfielders (13% of players) control €250.0M

1. Jamal Musiala€100.0M
2. Lennart Karl€60.0M
3. Can Uzun€45.0M
4. Ibrahim Maza€45.0M

Market Tiers

Elite (€50M+)2 players (6%)
€160.0M
Premium (€30-50M)4 players (13%)
€165.0M
High (€15-30M)2 players (6%)
€43.0M
Mid (€5-15M)8 players (26%)
€62.0M
Emerging (<€5M)15 players (48%)
€20.8M

Market structure shows distributed value with elite (€50m+) tier representing 6% of the Bundesliga CAM pool.

Elite (€50M+)

1. Jamal Musiala
Bayern Munich€100.0M
2. Lennart Karl
Bayern Munich€60.0M

Premium (€30-50M)

1. Can Uzun
Eintracht Frankfurt€45.0M
2. Ibrahim Maza
Bayer 04 Leverkusen€45.0M
3. Xavi Simons
RB Leipzig€40.0M
4. Bilal El Khannouss
VfB Stuttgart€35.0M

High (€15-30M)

1. Brajan Gruda
RB Leipzig€28.0M
2. Farès Chaïbi
Eintracht Frankfurt€15.0M

Club Distribution: Bundesliga Young Attacking Midfielders

Among 13 Bundesliga clubs, Bayern Munich leads with 3 Young Attacking Midfielders worth €163.5M (averaging €54.5M per player). The top 10 clubs account for 90% of tracked Young Attacking Midfielders.

#1
Bayern Munich
3 players • €163.5M
#2
RB Leipzig
4 players • €77.3M
#3
Eintracht Frankfurt
4 players • €66.7M
#4
Bayer 04 Leverkusen
3 players • €51.3M
#5
VfB Stuttgart
3 players • €39.5M
#6
FC Augsburg
3 players • €22.3M
#7
1. Fußballclub Heidenheim 1846
1 players • €10.0M
#8
TSG 1899 Hoffenheim
2 players • €5.5M
#9
SV Werder Bremen
4 players • €5.3M
#10
VfL Wolfsburg
1 players • €5.0M

Bayern Munich (3 Young Attacking Midfielders)

Jamal Musiala(23yo)
€100.0M
Lennart Karl(18yo)
€60.0M
Maurice Krattenmacher(21yo)
€3.5M

RB Leipzig (4 Young Attacking Midfielders)

Xavi Simons(23yo)
€40.0M
Brajan Gruda(22yo)
€28.0M
Andrija Maksimovic(19yo)
€9.0M
Viggo Gebel(18yo)
€350K

Eintracht Frankfurt (4 Young Attacking Midfielders)

Can Uzun(20yo)
€45.0M
Farès Chaïbi(23yo)
€15.0M
Love Arrhov(18yo)
€5.0M
Krisztián Lisztes(21yo)
€1.7M

Bayer 04 Leverkusen (3 Young Attacking Midfielders)

Ibrahim Maza(20yo)
€45.0M
Francis Onyeka(19yo)
€6.0M
Ayman Aourir(22yo)
€300K

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 28.57×. That means Jamal Musiala is valued 28.57× 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 11.43× PPVE. Third is Lennart Karl of Bayern Munich, who is 18 years old with a 10.00× 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 28.57× means the player is worth 2757% more than typical players their age-making them high-value targets before they reach peak value.

PPVE by Age Bracket

Jamal MusialaBayern Munich
21-23 • 23yo28.57x
€100.0M • 2757% above median
Xavi SimonsRB Leipzig
21-23 • 23yo11.43x
€40.0M • 1043% above median
Lennart KarlBayern Munich
U21 • 18yo10.00x
€60.0M • 900% above median
Bilal El KhannoussVfB Stuttgart
21-23 • 22yo10.00x
€35.0M • 900% above median
Brajan GrudaRB Leipzig
21-23 • 22yo8.00x
€28.0M • 700% above median
Can UzunEintracht Frankfurt
U21 • 20yo7.50x
€45.0M • 650% above median
Ibrahim MazaBayer 04 Leverkusen
U21 • 20yo7.50x
€45.0M • 650% above median
Farès ChaïbiEintracht Frankfurt
21-23 • 23yo4.29x
€15.0M • 329% above median
Mert KömürFC Augsburg
21-23 • 21yo3.43x
€12.0M • 243% above median
Anton KadeFC Augsburg
21-23 • 22yo2.86x
€10.0M • 186% above median
Arijon Ibrahimovic1. Fußballclub Heidenheim 1846
U21 • 20yo1.67x
€10.0M • 67% above median
Andrija MaksimovicRB Leipzig
U21 • 19yo1.50x
€9.0M • 50% above median
Muhammed DamarTSG 1899 Hoffenheim
21-23 • 22yo1.43x
€5.0M • 43% above median
Giovanni ReynaBorussia Dortmund
21-23 • 23yo1.14x
€4.0M • 14% above median
Maurice KrattenmacherBayern Munich
21-23 • 21yo1.00x
€3.5M • 0% above median
RankPlayerAgeBracketCurrent ValueBracket MedianPPVE
#1
Jamal Musiala
Bayern Munich
2321-23€100.0M€3.5M28.57x
#2
Xavi Simons
RB Leipzig
2321-23€40.0M€3.5M11.43x
#3
Lennart Karl
Bayern Munich
18U21€60.0M€6.0M10.00x
#4
Bilal El Khannouss
VfB Stuttgart
2221-23€35.0M€3.5M10.00x
#5
Brajan Gruda
RB Leipzig
2221-23€28.0M€3.5M8.00x
#6
Can Uzun
Eintracht Frankfurt
20U21€45.0M€6.0M7.50x
#7
Ibrahim Maza
Bayer 04 Leverkusen
20U21€45.0M€6.0M7.50x
#8
Farès Chaïbi
Eintracht Frankfurt
2321-23€15.0M€3.5M4.29x
#9
Mert Kömür
FC Augsburg
2121-23€12.0M€3.5M3.43x
#10
Anton Kade
FC Augsburg
2221-23€10.0M€3.5M2.86x
#11
Arijon Ibrahimovic
1. Fußballclub Heidenheim 1846
20U21€10.0M€6.0M1.67x
#12
Andrija Maksimovic
RB Leipzig
19U21€9.0M€6.0M1.50x
#13
Muhammed Damar
TSG 1899 Hoffenheim
2221-23€5.0M€3.5M1.43x
#14
Giovanni Reyna
Borussia Dortmund
2321-23€4.0M€3.5M1.14x
#15
Maurice Krattenmacher
Bayern Munich
2121-23€3.5M€3.5M1.00x
#16
Francis Onyeka
Bayer 04 Leverkusen
19U21€6.0M€6.0M1.00x
#17
Love Arrhov
Eintracht Frankfurt
18U21€5.0M€6.0M0.83x
#18
Bence Dárdai
VfL Wolfsburg
20U21€5.0M€6.0M0.83x
#19
Patrice Covic
SV Werder Bremen
19U21€4.0M€6.0M0.67x
#20
Noah Darvich
VfB Stuttgart
20U21€4.0M€6.0M0.67x

Return-to-Peak Potential (RPP)

Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.

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Risk-Adjusted Upside (RAU)

Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.

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Roster Pressure Index (RPI)

Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.

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Age-Share Concentration (ASC)

Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.

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Buy-Now vs Wait-List Map

Categorizes players by age position and upside potential to guide timing of acquisition.

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Price vs Peer Z-Score

IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.

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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 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 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, updated October 2026

Who are the most valuable Young Attacking Midfielders in the Bundesliga right now?

The most valuable young 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 31 Bundesliga Young Attacking Midfielders with comprehensive market valuations updated in October 2026.

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 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 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: €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 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 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 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 (last update October 2026) to ensure accuracy for recruitment and investment decisions.