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Best Attacking Midfielders in the Bundesliga (Dec 2025)

Ranked by Analytical Strength Score

Market Overview: Bundesliga Attacking Midfielders 2022-23

Our database tracked 39 Bundesliga Attacking Midfielders in the 2022-23 season, representing 20 clubs with a combined market value of 486.3M. The average market value for Bundesliga Attacking Midfielders was 12.5M, with the average age at 25.5 years old.

The most valuable attacking midfielder in the Bundesliga was Jamal Musiala, worth 140.0M and played for Bayern Munich at 22 years old. The top 5 Attacking Midfielders averaged €49.8M in market value, including Malik Tillman and Bilal El Khannouss.

Age distribution showed the youngest tracked attacking midfielder was Patrice Covic (18 years, SV Werder Bremen, 2.5M), while the oldest was Andrej Kramaric (34 years, TSG 1899 Hoffenheim, 4.0M). Research shows Attacking Midfielders typically peak at age 26.

Historical analysis showed 23 Attacking Midfielders (59%) 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 Attacking Midfielders remained actively developing with emerging talent in the 2022-23 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.

Market Intelligence

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.

39
Players Tracked
🔍
Age: 1840
0M–200M
Showing 39 of 39

Age Distribution: Bundesliga Attacking Midfielders

The Bundesliga CAM market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (9 players, 23% of market). The 21-23 age group holds the most value at 254.0M, averaging 28.2M per player.

U21 years7 players (18%)
71.5MAvg: 10.2M
Top player: Can Uzun (18.0M)
21-23 years9 players (23%)
254.0MAvg: 28.2M
Top player: Jamal Musiala (140.0M)
24-26 years7 players (18%)
67.2MAvg: 9.6M
Top player: Fábio Vieira (22.0M)
27-29 years8 players (21%)
71.6MAvg: 9.0M
Top player: Julian Brandt (25.0M)
30+ years8 players (21%)
22.0MAvg: 2.8M
Top player: Andrej Kramaric (4.0M)

Top Attacking Midfielders by Age Bracket

U21 Years (7 players)

1. Can Uzun(20yo)
18.0M
2. Claudio Echeverri(19yo)
18.0M
3. Ibrahim Maza(20yo)
12.0M
4. Bence Dárdai(19yo)
12.0M
5. Mert Kömür(20yo)
5.0M

21-23 Years (9 players)

1. Jamal Musiala(22yo)
140.0M
2. Malik Tillman(23yo)
32.0M
3. Bilal El Khannouss(21yo)
28.0M
4. Paul Nebel(23yo)
24.0M
5. Farès Chaïbi(23yo)
9.0M

24-26 Years (7 players)

1. Fábio Vieira(25yo)
22.0M
2. Romano Schmid(25yo)
17.0M
3. Christoph Baumgartner(26yo)
12.0M
4. Yuito Suzuki(24yo)
10.0M
5. Woo-yeong Jeong(26yo)
4.0M

27-29 Years (8 players)

1. Julian Brandt(29yo)
25.0M
2. Lovro Majer(27yo)
17.0M
3. Cameron Puertas(27yo)
13.0M
4. Alexis Claude-Maurice(27yo)
12.0M
5. Adrian Beck(28yo)
2.0M

Market Value Distribution

Elite Tier Concentration

46%of market value

The top 4 Attacking Midfielders (10% of players) control 224.0M

1. Jamal Musiala140.0M
2. Malik Tillman32.0M
3. Bilal El Khannouss28.0M
4. Paul Nebel24.0M

Market Tiers

Elite (€50M+)1 players (3%)
140.0M
Premium (€30-50M)1 players (3%)
32.0M
High (€15-30M)8 players (21%)
169.0M
Mid (€5-15M)11 players (28%)
105.0M
Emerging (<€5M)18 players (46%)
40.3M

Market structure shows distributed value with elite (€50m+) tier representing 3% of the Bundesliga CAM pool.

Elite (€50M+)

1. Jamal Musiala
Bayern Munich140.0M

Premium (€30-50M)

1. Malik Tillman
Bayer 04 Leverkusen32.0M

High (€15-30M)

1. Bilal El Khannouss
VfB Stuttgart28.0M
2. Paul Nebel
1.FSV Mainz 0524.0M
3. Julian Brandt
Borussia Dortmund25.0M
4. Fábio Vieira
Hamburger SV22.0M
5. Romano Schmid
SV Werder Bremen17.0M

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.

#1
Bayern Munich
1 players • 140.0M
#2
Bayer 04 Leverkusen
4 players • 64.0M
#3
SV Werder Bremen
4 players • 33.5M
#4
VfL Wolfsburg
3 players • 33.0M
#5
Eintracht Frankfurt
3 players • 31.0M
#6
VfB Stuttgart
1 players • 28.0M
#7
1.FSV Mainz 05
2 players • 26.5M
#8
Borussia Dortmund
1 players • 25.0M
#9
Hamburger SV
2 players • 24.0M
#10
FC Augsburg
3 players • 23.0M

Bayern Munich (1 Attacking Midfielders)

Jamal Musiala(22yo)
140.0M

Bayer 04 Leverkusen (4 Attacking Midfielders)

Malik Tillman(23yo)
32.0M
Claudio Echeverri(19yo)
18.0M
Ibrahim Maza(20yo)
12.0M
Jonas Hofmann(33yo)
2.0M

SV Werder Bremen (4 Attacking Midfielders)

Romano Schmid(25yo)
17.0M
Cameron Puertas(27yo)
13.0M
Patrice Covic(18yo)
2.5M
Isak Hansen-Aarøen(21yo)
1.0M

VfL Wolfsburg (3 Attacking Midfielders)

Lovro Majer(27yo)
17.0M
Bence Dárdai(19yo)
12.0M
Christian Eriksen(33yo)
4.0M

Player Rankings

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

#1

Jamal Musiala

Bayern Munich22 years old

121.1M

140.0M

+15.6%

131.1M177.4M

Expected: 154.2M

94.4

#2

Malik Tillman

Bayer 04 Leverkusen23 years old

27.7M

32.0M

+15.6%

30.3M41.0M

Expected: 35.7M

82.6

#3

Bilal El Khannouss

VfB Stuttgart21 years old

24.2M

28.0M

+15.6%

26.6M37.7M

Expected: 32.1M

76.7

#4

Paul Nebel

1.FSV Mainz 0523 years old

20.8M

24.0M

+15.6%

22.7M30.8M

Expected: 26.7M

76.1

#5

Julian Brandt

Borussia Dortmund29 years old

32.3M

25.0M

-22.6%

18.2M24.7M

Expected: 21.5M

75.3

#6

Fábio Vieira

Hamburger SV25 years old

19.0M

22.0M

+15.6%

19.0M25.7M

Expected: 22.4M

74.1

#7

Romano Schmid

SV Werder Bremen25 years old

14.7M

17.0M

+15.6%

14.7M19.9M

Expected: 17.3M

70.9

#8

Can Uzun

Eintracht Frankfurt20 years old

15.6M

18.0M

+15.6%

17.8M25.2M

Expected: 21.5M

70.7

#9

Lovro Majer

VfL Wolfsburg27 years old

18.0M

17.0M

-5.4%

13.1M17.7M

Expected: 15.4M

70.5

#10

Claudio Echeverri

Bayer 04 Leverkusen19 years old

15.6M

18.0M

+15.6%

18.5M26.2M

Expected: 22.3M

70.1

#11

Cameron Puertas

SV Werder Bremen27 years old

13.7M

13.0M

-5.4%

10.0M13.5M

Expected: 11.8M

67.2

#12

Alexis Claude-Maurice

FC Augsburg27 years old

12.7M

12.0M

-5.4%

9.2M12.5M

Expected: 10.9M

66.2

#13

Christoph Baumgartner

RB Leipzig26 years old

10.4M

12.0M

+15.6%

10.9M14.8M

Expected: 12.9M

66.2

#14

Ibrahim Maza

Bayer 04 Leverkusen20 years old

10.4M

12.0M

+15.6%

11.9M16.8M

Expected: 14.3M

65.7

#15

Bence Dárdai

VfL Wolfsburg19 years old

10.4M

12.0M

+15.6%

12.3M17.4M

Expected: 14.9M

65.1

#16

Yuito Suzuki

SC Freiburg24 years old

8.6M

10.0M

+15.6%

8.7M11.8M

Expected: 10.2M

61.1

#17

Farès Chaïbi

Eintracht Frankfurt23 years old

7.8M

9.0M

+15.6%

8.2M11.1M

Expected: 9.6M

60.3

#18

Giovanni Reyna

Borussia Mönchengladbach23 years old

6.1M

7.0M

+15.6%

6.4M8.6M

Expected: 7.5M

57.2

#19

Muhammed Damar

TSG 1899 Hoffenheim21 years old

6.1M

7.0M

+15.6%

6.4M9.0M

Expected: 7.7M

56.0

#20

Fabian Rieder

FC Augsburg23 years old

5.2M

6.0M

+15.6%

5.5M7.4M

Expected: 6.4M

55.4

Showing 1-20 of 39

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 15.56×. That means Jamal Musiala is valued 15.56× 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 3.56× PPVE. Third is Bilal El Khannouss of VfB Stuttgart, who is 21 years old with a 3.11× 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 15.56× means the player is worth 1456% more than typical players their age—making them high-value targets before they reach peak value.

PPVE by Age Bracket

Jamal MusialaBayern Munich
21-2322yo15.56×
140.0M1456% above median
Malik TillmanBayer 04 Leverkusen
21-2323yo3.56×
32.0M256% above median
Bilal El KhannoussVfB Stuttgart
21-2321yo3.11×
28.0M211% above median
Paul Nebel1.FSV Mainz 05
21-2323yo2.67×
24.0M167% above median
Can UzunEintracht Frankfurt
U2120yo1.50×
18.0M50% above median
Claudio EcheverriBayer 04 Leverkusen
U2119yo1.50×
18.0M50% above median
Fábio VieiraHamburger SV
24-2625yo1.29×
22.0M29% above median
Romano SchmidSV Werder Bremen
24-2625yo1.00×
17.0M0% above median
Bence DárdaiVfL Wolfsburg
U2119yo1.00×
12.0M0% above median
Farès ChaïbiEintracht Frankfurt
21-2323yo1.00×
9.0M0% above median
Ibrahim MazaBayer 04 Leverkusen
U2120yo1.00×
12.0M0% above median
Giovanni ReynaBorussia Mönchengladbach
21-2323yo0.78×
7.0M-22% above median
Muhammed DamarTSG 1899 Hoffenheim
21-2321yo0.78×
7.0M-22% above median
Fabian RiederFC Augsburg
21-2323yo0.67×
6.0M-33% above median
Yuito SuzukiSC Freiburg
24-2624yo0.59×
10.0M-41% above median
RankPlayerAgeBracketCurrent ValueBracket MedianPPVE
#1
Jamal Musiala
Bayern Munich
2221-23140.0M9.0M15.56×
#2
Malik Tillman
Bayer 04 Leverkusen
2321-2332.0M9.0M3.56×
#3
Bilal El Khannouss
VfB Stuttgart
2121-2328.0M9.0M3.11×
#4
Paul Nebel
1.FSV Mainz 05
2321-2324.0M9.0M2.67×
#5
Can Uzun
Eintracht Frankfurt
20U2118.0M12.0M1.50×
#6
Claudio Echeverri
Bayer 04 Leverkusen
19U2118.0M12.0M1.50×
#7
Fábio Vieira
Hamburger SV
2524-2622.0M17.0M1.29×
#8
Romano Schmid
SV Werder Bremen
2524-2617.0M17.0M1.00×
#9
Bence Dárdai
VfL Wolfsburg
19U2112.0M12.0M1.00×
#10
Farès Chaïbi
Eintracht Frankfurt
2321-239.0M9.0M1.00×
#11
Ibrahim Maza
Bayer 04 Leverkusen
20U2112.0M12.0M1.00×
#12
Giovanni Reyna
Borussia Mönchengladbach
2321-237.0M9.0M0.78×
#13
Muhammed Damar
TSG 1899 Hoffenheim
2121-237.0M9.0M0.78×
#14
Fabian Rieder
FC Augsburg
2321-236.0M9.0M0.67×
#15
Yuito Suzuki
SC Freiburg
2424-2610.0M17.0M0.59×
#16
Mert Kömür
FC Augsburg
20U215.0M12.0M0.42×
#17
Arijon Ibrahimovic
1.FC Heidenheim 1846
20U214.0M12.0M0.33×
#18
Patrice Covic
SV Werder Bremen
18U212.5M12.0M0.21×
#19
Immanuel Pherai
Hamburger SV
2424-262.0M17.0M0.12×
#20
Isak Hansen-Aarøen
SV Werder Bremen
2121-231.0M9.0M0.11×

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 Bayer 04 Leverkusen's Claudio Echeverri, who is 19 years old, with a +40% RPP (7 years to peak). Third is Bence Dárdai of VfL Wolfsburg, 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

Patrice CovicSV Werder Bremen
8yr to peak+44%
2.5M4.5M
Claudio EcheverriBayer 04 Leverkusen
7yr to peak+40%
18.0M29.9M
Bence DárdaiVfL Wolfsburg
7yr to peak+40%
12.0M19.9M
Ibrahim MazaBayer 04 Leverkusen
6yr to peak+35%
12.0M18.5M
Arijon Ibrahimovic1.FC Heidenheim 1846
6yr to peak+35%
4.0M6.2M
Mert KömürFC Augsburg
6yr to peak+35%
5.0M7.7M
Can UzunEintracht Frankfurt
6yr to peak+35%
18.0M27.8M
Isak Hansen-AarøenSV Werder Bremen
5yr to peak+30%
1.0M1.4M
Bilal El KhannoussVfB Stuttgart
5yr to peak+30%
28.0M40.2M
Muhammed DamarTSG 1899 Hoffenheim
5yr to peak+30%
7.0M10.1M
Jamal MusialaBayern Munich
4yr to peak+25%
140.0M187.2M
Paul Nebel1.FSV Mainz 05
3yr to peak+20%
24.0M29.8M
Fabian RiederFC Augsburg
3yr to peak+20%
6.0M7.5M
Malik TillmanBayer 04 Leverkusen
3yr to peak+20%
32.0M39.8M
Farès ChaïbiEintracht Frankfurt
3yr to peak+20%
9.0M11.2M
RankPlayerAgeYears to PeakCurrentPeak ForecastRPP %
#1
Patrice Covic
SV Werder Bremen
1882.5M4.5M+44%
#2
Claudio Echeverri
Bayer 04 Leverkusen
19718.0M29.9M+40%
#3
Bence Dárdai
VfL Wolfsburg
19712.0M19.9M+40%
#4
Ibrahim Maza
Bayer 04 Leverkusen
20612.0M18.5M+35%
#5
Arijon Ibrahimovic
1.FC Heidenheim 1846
2064.0M6.2M+35%
#6
Mert Kömür
FC Augsburg
2065.0M7.7M+35%
#7
Can Uzun
Eintracht Frankfurt
20618.0M27.8M+35%
#8
Isak Hansen-Aarøen
SV Werder Bremen
2151.0M1.4M+30%
#9
Bilal El Khannouss
VfB Stuttgart
21528.0M40.2M+30%
#10
Muhammed Damar
TSG 1899 Hoffenheim
2157.0M10.1M+30%
#11
Jamal Musiala
Bayern Munich
224140.0M187.2M+25%
#12
Paul Nebel
1.FSV Mainz 05
23324.0M29.8M+20%
#13
Fabian Rieder
FC Augsburg
2336.0M7.5M+20%
#14
Malik Tillman
Bayer 04 Leverkusen
23332.0M39.8M+20%
#15
Farès Chaïbi
Eintracht Frankfurt
2339.0M11.2M+20%
#16
Giovanni Reyna
Borussia Mönchengladbach
2337.0M8.7M+20%
#17
Immanuel Pherai
Hamburger SV
2422.0M2.3M+14%
#18
Yuito Suzuki
SC Freiburg
24210.0M11.6M+14%
#19
Romano Schmid
SV Werder Bremen
25117.0M18.3M+7%
#20
Fábio Vieira
Hamburger SV
25122.0M23.7M+7%

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 56.0. That means Claudio Echeverri has 24% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.

In second is Bayer 04 Leverkusen's Claudio Echeverri with a 56.0 RAU (24% upside, 0% uncertainty). Third is Patrice Covic of SV Werder Bremen with a 55.1 RAU (23% upside, 0% uncertainty).

How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 56.0 means the upside is 56.0× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.

Risk-Adjusted Upside by Player

Bence DárdaiVfL Wolfsburg
24% / ±0%56.0
Range: 12.3M - 17.4M
Claudio EcheverriBayer 04 Leverkusen
24% / ±0%56.0
Range: 18.5M - 26.2M
Patrice CovicSV Werder Bremen
23% / ±0%55.1
Range: 2.6M - 3.6M
Can UzunEintracht Frankfurt
19% / ±0%47.0
Range: 17.8M - 25.2M
Ibrahim MazaBayer 04 Leverkusen
19% / ±0%47.0
Range: 11.9M - 16.8M
Bilal El KhannoussVfB Stuttgart
15% / ±0%37.3
Range: 26.6M - 37.7M
Arijon Ibrahimovic1.FC Heidenheim 1846
15% / ±0%37.1
Range: 3.8M - 5.4M
Mert KömürFC Augsburg
15% / ±0%37.1
Range: 4.7M - 6.7M
Malik TillmanBayer 04 Leverkusen
11% / ±0%34.2
Range: 30.3M - 41.0M
Paul Nebel1.FSV Mainz 05
11% / ±0%34.2
Range: 22.7M - 30.8M
Jamal MusialaBayern Munich
10% / ±0%30.7
Range: 131.1M - 177.4M
Isak Hansen-AarøenSV Werder Bremen
10% / ±0%26.9
Range: 912K - 1.3M
Muhammed DamarTSG 1899 Hoffenheim
10% / ±0%26.9
Range: 6.4M - 9.0M
Christoph BaumgartnerRB Leipzig
7% / ±0%22.3
Range: 10.9M - 14.8M
Farès ChaïbiEintracht Frankfurt
7% / ±0%22.0
Range: 8.2M - 11.1M
RankPlayerExpectedRangeUpside %RAU
#1
Bence Dárdai
VfL Wolfsburg
14.9M12.3M-17.4M+24%56.0
#2
Claudio Echeverri
Bayer 04 Leverkusen
22.3M18.5M-26.2M+24%56.0
#3
Patrice Covic
SV Werder Bremen
3.1M2.6M-3.6M+23%55.1
#4
Can Uzun
Eintracht Frankfurt
21.5M17.8M-25.2M+19%47.0
#5
Ibrahim Maza
Bayer 04 Leverkusen
14.3M11.9M-16.8M+19%47.0
#6
Bilal El Khannouss
VfB Stuttgart
32.1M26.6M-37.7M+15%37.3
#7
Arijon Ibrahimovic
1.FC Heidenheim 1846
4.6M3.8M-5.4M+15%37.1
#8
Mert Kömür
FC Augsburg
5.7M4.7M-6.7M+15%37.1
#9
Malik Tillman
Bayer 04 Leverkusen
35.7M30.3M-41.0M+11%34.2
#10
Paul Nebel
1.FSV Mainz 05
26.7M22.7M-30.8M+11%34.2
#11
Jamal Musiala
Bayern Munich
154.2M131.1M-177.4M+10%30.7
#12
Isak Hansen-Aarøen
SV Werder Bremen
1.1M912K-1.3M+10%26.9
#13
Muhammed Damar
TSG 1899 Hoffenheim
7.7M6.4M-9.0M+10%26.9
#14
Christoph Baumgartner
RB Leipzig
12.9M10.9M-14.8M+7%22.3
#15
Farès Chaïbi
Eintracht Frankfurt
9.6M8.2M-11.1M+7%22.0
#16
Giovanni Reyna
Borussia Mönchengladbach
7.5M6.4M-8.6M+7%22.0
#17
Fabian Rieder
FC Augsburg
6.4M5.5M-7.4M+7%22.0
#18
Anderson Niangbo
Without Club
154K131K-178K+3%9.6
#19
Woo-yeong Jeong
1.FC Union Berlin
4.1M3.5M-4.7M+3%9.6
#20
Immanuel Pherai
Hamburger SV
2.0M1.7M-2.4M+2%7.8

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

39
Total Players
-0.00
Avg Z-Score
-0.00
RPI Score
Weak DepthStrong Depth
-3.00+3.0

Highest Z-Scores

Jamal Musiala+5.71
Malik Tillman+0.87
Bilal El Khannouss+0.70
Julian Brandt+0.56
Paul Nebel+0.52

Lowest Z-Scores

Anderson Niangbo-0.55
László Kleinheisler-0.54
Blendi Idrizi-0.54
Daniel-Kofi Kyereh-0.52
Isak Hansen-Aarøen-0.51

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 +29.2%. That means Jamal Musiala captures 52.2% of total market value while representing only 23.1% of players in their age group—showing dominant elite status.

In second is 1.FSV Mainz 05's Paul Nebel with a +29.2% ASC (52.2% value share vs 23.1% player share in 21-23 bracket). Third is Giovanni Reyna of Borussia Mönchengladbach with a +29.2% ASC (52.2% value vs 23.1% players in 21-23 bracket).

How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +29.2% ASC means the player captures 29.2% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.

Value Concentration by Player

Malik TillmanBayer 04 Leverkusen
21-23+29.2%
52.2% value share / 23.1% player share
Paul Nebel1.FSV Mainz 05
21-23+29.2%
52.2% value share / 23.1% player share
Giovanni ReynaBorussia Mönchengladbach
21-23+29.2%
52.2% value share / 23.1% player share
Fabian RiederFC Augsburg
21-23+29.2%
52.2% value share / 23.1% player share
Jamal MusialaBayern Munich
21-23+29.2%
52.2% value share / 23.1% player share
Bilal El KhannoussVfB Stuttgart
21-23+29.2%
52.2% value share / 23.1% player share
Isak Hansen-AarøenSV Werder Bremen
21-23+29.2%
52.2% value share / 23.1% player share
Muhammed DamarTSG 1899 Hoffenheim
21-23+29.2%
52.2% value share / 23.1% player share
Farès ChaïbiEintracht Frankfurt
21-23+29.2%
52.2% value share / 23.1% player share
Florian Kainz1.FC Köln
30+-16.0%
4.5% value share / 20.5% player share
Kevin StögerBorussia Mönchengladbach
30+-16.0%
4.5% value share / 20.5% player share
László KleinheislerWithout Club
30+-16.0%
4.5% value share / 20.5% player share
Jae-sung Lee1.FSV Mainz 05
30+-16.0%
4.5% value share / 20.5% player share
Andrej KramaricTSG 1899 Hoffenheim
30+-16.0%
4.5% value share / 20.5% player share
Christian EriksenVfL Wolfsburg
30+-16.0%
4.5% value share / 20.5% player share
RankPlayerAge BracketValue SharePlayer ShareASC
#1
Malik Tillman
Bayer 04 Leverkusen
21-2352.2%23.1%+29.2%
#2
Paul Nebel
1.FSV Mainz 05
21-2352.2%23.1%+29.2%
#3
Giovanni Reyna
Borussia Mönchengladbach
21-2352.2%23.1%+29.2%
#4
Fabian Rieder
FC Augsburg
21-2352.2%23.1%+29.2%
#5
Jamal Musiala
Bayern Munich
21-2352.2%23.1%+29.2%
#6
Bilal El Khannouss
VfB Stuttgart
21-2352.2%23.1%+29.2%
#7
Isak Hansen-Aarøen
SV Werder Bremen
21-2352.2%23.1%+29.2%
#8
Muhammed Damar
TSG 1899 Hoffenheim
21-2352.2%23.1%+29.2%
#9
Farès Chaïbi
Eintracht Frankfurt
21-2352.2%23.1%+29.2%
#10
Florian Kainz
1.FC Köln
30+4.5%20.5%-16.0%
#11
Kevin Stöger
Borussia Mönchengladbach
30+4.5%20.5%-16.0%
#12
László Kleinheisler
Without Club
30+4.5%20.5%-16.0%
#13
Jae-sung Lee
1.FSV Mainz 05
30+4.5%20.5%-16.0%
#14
Andrej Kramaric
TSG 1899 Hoffenheim
30+4.5%20.5%-16.0%
#15
Christian Eriksen
VfL Wolfsburg
30+4.5%20.5%-16.0%
#16
Jonas Hofmann
Bayer 04 Leverkusen
30+4.5%20.5%-16.0%
#17
Mario Götze
Eintracht Frankfurt
30+4.5%20.5%-16.0%
#18
Julian Brandt
Borussia Dortmund
27-2914.7%20.5%-5.8%
#19
Daniel-Kofi Kyereh
SC Freiburg
27-2914.7%20.5%-5.8%
#20
Adrian Beck
1.FC Heidenheim 1846
27-2914.7%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: 5 immediate targets, 11 standard acquisitions, 0 watch-list prospects, 13 at peak.

BUY NOW - High Upside

Can Uzun
20yo • Eintracht Frankfurt
18.0M
Claudio Echeverri
19yo • Bayer 04 Leverkusen
18.0M
Ibrahim Maza
20yo • Bayer 04 Leverkusen
12.0M
Bence Dárdai
19yo • VfL Wolfsburg
12.0M
Patrice Covic
18yo • SV Werder Bremen
2.5M

WATCH LIST - High Upside

No players in this category

BUY NOW - Medium Upside

Jamal Musiala
22yo • Bayern Munich
140.0M
Malik Tillman
23yo • Bayer 04 Leverkusen
32.0M
Bilal El Khannouss
21yo • VfB Stuttgart
28.0M
Paul Nebel
23yo • 1.FSV Mainz 05
24.0M
Farès Chaïbi
23yo • Eintracht Frankfurt
9.0M
Giovanni Reyna
23yo • Borussia Mönchengladbach
7.0M
Muhammed Damar
21yo • TSG 1899 Hoffenheim
7.0M
Fabian Rieder
23yo • FC Augsburg
6.0M
Mert Kömür
20yo • FC Augsburg
5.0M
Arijon Ibrahimovic
20yo • 1.FC Heidenheim 1846
4.0M
Isak Hansen-Aarøen
21yo • SV Werder Bremen
1.0M

PEAK Players

Fábio Vieira
25yo • Hamburger SV
22.0M
Romano Schmid
25yo • SV Werder Bremen
17.0M
Lovro Majer
27yo • VfL Wolfsburg
17.0M
Cameron Puertas
27yo • SV Werder Bremen
13.0M
Alexis Claude-Maurice
27yo • FC Augsburg
12.0M
Christoph Baumgartner
26yo • RB Leipzig
12.0M
Yuito Suzuki
24yo • SC Freiburg
10.0M
Woo-yeong Jeong
26yo • 1.FC Union Berlin
4.0M
Immanuel Pherai
24yo • Hamburger SV
2.0M
Adrian Beck
28yo • 1.FC Heidenheim 1846
2.0M
Danel Sinani
28yo • FC St. Pauli
1.5M
Blendi Idrizi
27yo • SCR Altach
350K
Anderson Niangbo
26yo • Without Club
150K

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

László KleinheislerWithout Club
300K-1.60
Undervalued
Patrice CovicSV Werder Bremen
2.5M-1.00
Fair value
Romano SchmidSV Werder Bremen
17.0M-1.00
Fair value
Alexis Claude-MauriceFC Augsburg
12.0M-1.00
Fair value
Lovro MajerVfL Wolfsburg
17.0M-1.00
Fair value
Paul Nebel1.FSV Mainz 05
24.0M-1.00
Fair value
Yuito SuzukiSC Freiburg
10.0M-1.00
Fair value
Mert KömürFC Augsburg
5.0M-1.00
Fair value
Blendi IdriziSCR Altach
350K-0.96
Fair value
Florian Kainz1.FC Köln
1.7M-0.90
Fair value
Jonas HofmannBayer 04 Leverkusen
2.0M-0.75
Fair value
Daniel-Kofi KyerehSC Freiburg
800K-0.58
Fair value
Jae-sung Lee1.FSV Mainz 05
2.5M-0.50
Fair value
Fabian RiederFC Augsburg
6.0M-0.50
Fair value
Anderson NiangboWithout Club
150K-0.48
Fair value
PlayerMarket ValuePosition MedianZ-ScoreAssessment
László Kleinheisler
Without Club
300K6.0M-1.60Undervalued
Patrice Covic
SV Werder Bremen
2.5M6.0M-1.00Good Value
Romano Schmid
SV Werder Bremen
17.0M6.0M-1.00Good Value
Alexis Claude-Maurice
FC Augsburg
12.0M6.0M-1.00Good Value
Lovro Majer
VfL Wolfsburg
17.0M6.0M-1.00Good Value
Paul Nebel
1.FSV Mainz 05
24.0M6.0M-1.00Good Value
Yuito Suzuki
SC Freiburg
10.0M6.0M-1.00Good Value
Mert Kömür
FC Augsburg
5.0M6.0M-1.00Good Value
Blendi Idrizi
SCR Altach
350K6.0M-0.96Good Value
Florian Kainz
1.FC Köln
1.7M6.0M-0.90Good Value
Jonas Hofmann
Bayer 04 Leverkusen
2.0M6.0M-0.75Good Value
Daniel-Kofi Kyereh
SC Freiburg
800K6.0M-0.58Good Value
Jae-sung Lee
1.FSV Mainz 05
2.5M6.0M-0.50Fair Value
Fabian Rieder
FC Augsburg
6.0M6.0M-0.50Fair Value
Anderson Niangbo
Without Club
150K6.0M-0.48Fair Value
Kevin Stöger
Borussia Mönchengladbach
3.5M6.0M0.00Fair Value
Julian Brandt
Borussia Dortmund
25.0M6.0M0.00Fair Value
Christoph Baumgartner
RB Leipzig
12.0M6.0M0.00Fair Value
Danel Sinani
FC St. Pauli
1.5M6.0M0.00Fair Value
Immanuel Pherai
Hamburger SV
2.0M6.0M0.00Fair Value