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Best Left Wingers in the Bundesliga (Dec 2025)

Ranked by Analytical Strength Score

Market Overview: Bundesliga Left Wingers 2022-23

Our database tracked 33 Bundesliga Left Wingers in the 2022-23 season, representing 20 clubs with a combined market value of 308.4M. The average market value for Bundesliga Left Wingers was 9.3M, with the average age at 24.3 years old.

The most valuable left winger in the Bundesliga was Luis Díaz, worth 70.0M and played for Bayern Munich at 28 years old. The top 5 Left Wingers averaged €33.0M in market value, including Antonio Nusa and Eliesse Ben Seghir.

Age distribution showed the youngest tracked left winger was Bazoumana Touré (19 years, TSG 1899 Hoffenheim, 9.0M), while the oldest was Vincenzo Grifo (32 years, SC Freiburg, 6.0M). Research shows Left Wingers typically peak at age 26.

Historical analysis showed 19 Left Wingers (58%) 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 Left Wingers 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 Left Wingers. Identify undervalued assets and track market momentum across 20 clubs with 308.4M combined value.

33
Players Tracked
🔍
Age: 1840
0M–200M
Showing 33 of 33

Age Distribution: Bundesliga Left Wingers

The Bundesliga LW market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (9 players, 27% of market). The 27-29 age group holds the most value at 130.5M, averaging 14.5M per player.

U21 years8 players (24%)
98.7MAvg: 12.3M
Top player: Antonio Nusa (28.0M)
21-23 years9 players (27%)
36.8MAvg: 4.1M
Top player: Samuel Mbangula (14.0M)
24-26 years3 players (9%)
8.4MAvg: 2.8M
Top player: Elias Saad (4.0M)
27-29 years9 players (27%)
130.5MAvg: 14.5M
Top player: Luis Díaz (70.0M)
30+ years4 players (12%)
34.0MAvg: 8.5M
Top player: Serge Gnabry (22.0M)

Top Left Wingers by Age Bracket

U21 Years (8 players)

1. Antonio Nusa(20yo)
28.0M
2. Eliesse Ben Seghir(20yo)
28.0M
3. Jean-Mattéo Bahoya(20yo)
17.0M
4. Bazoumana Touré(19yo)
9.0M
5. Julien Duranville(19yo)
8.5M

21-23 Years (9 players)

1. Samuel Mbangula(21yo)
14.0M
2. Ismaël Gharbi(21yo)
7.5M
3. Jakub Kaminski(23yo)
5.0M
4. Derry Scherhant(23yo)
4.0M
5. Justin Diehl(21yo)
3.0M

24-26 Years (3 players)

1. Elias Saad(25yo)
4.0M
2. Linton Maina(26yo)
4.0M
3. Adil Taoui(24yo)
400K

27-29 Years (9 players)

1. Luis Díaz(28yo)
70.0M
2. Martin Terrier(28yo)
17.0M
3. Chris Führich(27yo)
15.0M
4. Robin Hack(27yo)
12.0M
5. Timo Werner(29yo)
7.0M

Market Value Distribution

Elite Tier Concentration

48%of market value

The top 4 Left Wingers (12% of players) control 148.0M

1. Luis Díaz70.0M
2. Antonio Nusa28.0M
3. Eliesse Ben Seghir28.0M
4. Serge Gnabry22.0M

Market Tiers

Elite (€50M+)1 players (3%)
70.0M
High (€15-30M)6 players (18%)
127.0M
Mid (€5-15M)9 players (27%)
74.0M
Emerging (<€5M)17 players (52%)
37.4M

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

Elite (€50M+)

1. Luis Díaz
Bayern Munich70.0M

High (€15-30M)

1. Antonio Nusa
RB Leipzig28.0M
2. Eliesse Ben Seghir
Bayer 04 Leverkusen28.0M
3. Serge Gnabry
Bayern Munich22.0M
4. Martin Terrier
Bayer 04 Leverkusen17.0M
5. Jean-Mattéo Bahoya
Eintracht Frankfurt17.0M

Mid (€5-15M)

1. Samuel Mbangula
SV Werder Bremen14.0M
2. Robin Hack
Borussia Mönchengladbach12.0M
3. Bazoumana Touré
TSG 1899 Hoffenheim9.0M
4. Julien Duranville
Borussia Dortmund8.5M
5. Ismaël Gharbi
FC Augsburg7.5M

Club Distribution: Bundesliga Left Wingers

Among 20 Bundesliga clubs, Bayern Munich leads with 2 Left Wingers worth 92.0M (averaging 46.0M per player). The top 10 clubs account for 61% of tracked Left Wingers.

#1
Bayern Munich
2 players • 92.0M
#2
Bayer 04 Leverkusen
2 players • 45.0M
#3
RB Leipzig
3 players • 38.0M
#4
VfB Stuttgart
2 players • 18.0M
#5
SV Werder Bremen
2 players • 18.0M
#6
Eintracht Frankfurt
1 players • 17.0M
#7
Borussia Mönchengladbach
1 players • 12.0M
#8
FC Augsburg
2 players • 11.5M
#9
1.FC Köln
3 players • 11.5M
#10
SC Freiburg
2 players • 10.0M

Bayern Munich (2 Left Wingers)

Luis Díaz(28yo)
70.0M
Serge Gnabry(30yo)
22.0M

Bayer 04 Leverkusen (2 Left Wingers)

Eliesse Ben Seghir(20yo)
28.0M
Martin Terrier(28yo)
17.0M

RB Leipzig (3 Left Wingers)

Antonio Nusa(20yo)
28.0M
Timo Werner(29yo)
7.0M
Tidiam Gomis(19yo)
3.0M

VfB Stuttgart (2 Left Wingers)

Chris Führich(27yo)
15.0M
Justin Diehl(21yo)
3.0M

Player Rankings

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

#1

Luis Díaz

Bayern Munich28 years old

90.4M

70.0M

-22.6%

56.1M71.4M

Expected: 63.8M

92.2

#3

Antonio Nusa

RB Leipzig20 years old

24.2M

28.0M

+15.6%

27.7M36.5M

Expected: 32.1M

76.4

#2

Eliesse Ben Seghir

Bayer 04 Leverkusen20 years old

24.2M

28.0M

+15.6%

27.7M36.5M

Expected: 32.1M

76.4

#4

Serge Gnabry

Bayern Munich30 years old

28.4M

22.0M

-22.6%

16.1M20.4M

Expected: 18.2M

74.4

#5

Martin Terrier

Bayer 04 Leverkusen28 years old

22.0M

17.0M

-22.6%

13.1M16.7M

Expected: 14.9M

70.8

#6

Jean-Mattéo Bahoya

Eintracht Frankfurt20 years old

14.7M

17.0M

+15.6%

16.8M22.2M

Expected: 19.5M

70.2

#7

Chris Führich

VfB Stuttgart27 years old

15.9M

15.0M

-5.4%

11.6M14.7M

Expected: 13.1M

69.1

#8

Samuel Mbangula

SV Werder Bremen21 years old

12.1M

14.0M

+15.6%

13.3M17.6M

Expected: 15.4M

68.4

#9

Robin Hack

Borussia Mönchengladbach27 years old

12.7M

12.0M

-5.4%

9.2M11.8M

Expected: 10.5M

66.4

#10

Bazoumana Touré

TSG 1899 Hoffenheim19 years old

7.8M

9.0M

+15.6%

9.2M12.2M

Expected: 10.7M

58.0

#11

Julien Duranville

Borussia Dortmund19 years old

7.4M

8.5M

+15.6%

8.7M11.5M

Expected: 10.1M

57.3

#12

Ismaël Gharbi

FC Augsburg21 years old

6.5M

7.5M

+15.6%

7.1M9.4M

Expected: 8.3M

57.0

#13

Timo Werner

RB Leipzig29 years old

9.0M

7.0M

-22.6%

5.1M6.5M

Expected: 5.8M

56.3

#14

Vincenzo Grifo

SC Freiburg32 years old

7.7M

6.0M

-22.6%

4.6M5.9M

Expected: 5.3M

54.7

#15

Jakub Kaminski

1.FC Köln23 years old

4.3M

5.0M

+15.6%

4.7M6.0M

Expected: 5.4M

53.2

#16

Clement Bischoff

Red Bull Salzburg19 years old

4.3M

5.0M

+15.6%

5.1M6.8M

Expected: 6.0M

50.4

#17

Derry Scherhant

SC Freiburg23 years old

3.5M

4.0M

+15.6%

3.8M4.8M

Expected: 4.3M

50.4

#18

Elias Saad

FC Augsburg25 years old

3.5M

4.0M

+15.6%

3.4M4.4M

Expected: 3.9M

49.4

#19

Marco Grüll

SV Werder Bremen27 years old

4.2M

4.0M

-5.4%

3.1M3.9M

Expected: 3.5M

49.1

#20

Linton Maina

1.FC Köln26 years old

3.5M

4.0M

+15.6%

3.6M4.6M

Expected: 4.1M

49.0

Showing 1-20 of 33

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)

SV Werder Bremen's Samuel Mbangula at 21 years old has the highest Pre-Peak Value Efficiency at 4.67×. That means Samuel Mbangula is valued 4.67× 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 Eliesse Ben Seghir, who is 20 years old, with a 3.11× PPVE. Third is Antonio Nusa of RB Leipzig, who is 20 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 4.67× means the player is worth 367% more than typical players their age—making them high-value targets before they reach peak value.

PPVE by Age Bracket

Samuel MbangulaSV Werder Bremen
21-2321yo4.67×
14.0M367% above median
Eliesse Ben SeghirBayer 04 Leverkusen
U2120yo3.11×
28.0M211% above median
Antonio NusaRB Leipzig
U2120yo3.11×
28.0M211% above median
Ismaël GharbiFC Augsburg
21-2321yo2.50×
7.5M150% above median
Jean-Mattéo BahoyaEintracht Frankfurt
U2120yo1.89×
17.0M89% above median
Jakub Kaminski1.FC Köln
21-2323yo1.67×
5.0M67% above median
Derry ScherhantSC Freiburg
21-2323yo1.33×
4.0M33% above median
Bazoumana TouréTSG 1899 Hoffenheim
U2119yo1.00×
9.0M0% above median
Elias SaadFC Augsburg
24-2625yo1.00×
4.0M0% above median
Justin DiehlVfB Stuttgart
21-2321yo1.00×
3.0M0% above median
Julien DuranvilleBorussia Dortmund
U2119yo0.94×
8.5M-6% above median
Petter Nosa DahlRapid Vienna
21-2322yo0.83×
2.5M-17% above median
Clement BischoffRed Bull Salzburg
U2119yo0.56×
5.0M-44% above median
Tidiam GomisRB Leipzig
U2119yo0.33×
3.0M-67% above median
David Preu1.FC Union Berlin
21-2321yo0.13×
400K-87% above median
RankPlayerAgeBracketCurrent ValueBracket MedianPPVE
#1
Samuel Mbangula
SV Werder Bremen
2121-2314.0M3.0M4.67×
#2
Eliesse Ben Seghir
Bayer 04 Leverkusen
20U2128.0M9.0M3.11×
#3
Antonio Nusa
RB Leipzig
20U2128.0M9.0M3.11×
#4
Ismaël Gharbi
FC Augsburg
2121-237.5M3.0M2.50×
#5
Jean-Mattéo Bahoya
Eintracht Frankfurt
20U2117.0M9.0M1.89×
#6
Jakub Kaminski
1.FC Köln
2321-235.0M3.0M1.67×
#7
Derry Scherhant
SC Freiburg
2321-234.0M3.0M1.33×
#8
Bazoumana Touré
TSG 1899 Hoffenheim
19U219.0M9.0M1.00×
#9
Elias Saad
FC Augsburg
2524-264.0M4.0M1.00×
#10
Justin Diehl
VfB Stuttgart
2121-233.0M3.0M1.00×
#11
Julien Duranville
Borussia Dortmund
19U218.5M9.0M0.94×
#12
Petter Nosa Dahl
Rapid Vienna
2221-232.5M3.0M0.83×
#13
Clement Bischoff
Red Bull Salzburg
19U215.0M9.0M0.56×
#14
Tidiam Gomis
RB Leipzig
19U213.0M9.0M0.33×
#15
David Preu
1.FC Union Berlin
2121-23400K3.0M0.13×
#16
Adil Taoui
Without Club
2424-26400K4.0M0.10×
#17
Alexis Tibidi
Without Club
2221-23300K3.0M0.10×
#18
Mehmet Ibrahimi
Without Club
2221-23125K3.0M0.04×
#19
Mickael Dosso
Wolfsberger AC
20U21175K9.0M0.02×

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)

TSG 1899 Hoffenheim's Bazoumana Touré at 19 years old has the highest Return-to-Peak Potential at +40%. That means Bazoumana Touré is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.

In second is Borussia Dortmund's Julien Duranville, who is 19 years old, with a +40% RPP (7 years to peak). Third is Clement Bischoff of Red Bull Salzburg, 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 40% RPP means the player is expected to gain 40% value as they enter their prime—making them excellent growth investments.

Recovery Potential by Player

Bazoumana TouréTSG 1899 Hoffenheim
7yr to peak+40%
9.0M15.0M
Julien DuranvilleBorussia Dortmund
7yr to peak+40%
8.5M14.1M
Clement BischoffRed Bull Salzburg
7yr to peak+40%
5.0M8.3M
Tidiam GomisRB Leipzig
7yr to peak+40%
3.0M5.0M
Mickael DossoWolfsberger AC
6yr to peak+35%
175K270K
Eliesse Ben SeghirBayer 04 Leverkusen
6yr to peak+35%
28.0M43.3M
Antonio NusaRB Leipzig
6yr to peak+35%
28.0M43.3M
Jean-Mattéo BahoyaEintracht Frankfurt
6yr to peak+35%
17.0M26.3M
Ismaël GharbiFC Augsburg
5yr to peak+30%
7.5M10.8M
Samuel MbangulaSV Werder Bremen
5yr to peak+30%
14.0M20.1M
Justin DiehlVfB Stuttgart
5yr to peak+30%
3.0M4.3M
David Preu1.FC Union Berlin
5yr to peak+30%
400K575K
Petter Nosa DahlRapid Vienna
4yr to peak+25%
2.5M3.3M
Mehmet IbrahimiWithout Club
4yr to peak+25%
125K167K
Alexis TibidiWithout Club
4yr to peak+25%
300K401K
RankPlayerAgeYears to PeakCurrentPeak ForecastRPP %
#1
Bazoumana Touré
TSG 1899 Hoffenheim
1979.0M15.0M+40%
#2
Julien Duranville
Borussia Dortmund
1978.5M14.1M+40%
#3
Clement Bischoff
Red Bull Salzburg
1975.0M8.3M+40%
#4
Tidiam Gomis
RB Leipzig
1973.0M5.0M+40%
#5
Mickael Dosso
Wolfsberger AC
206175K270K+35%
#6
Eliesse Ben Seghir
Bayer 04 Leverkusen
20628.0M43.3M+35%
#7
Antonio Nusa
RB Leipzig
20628.0M43.3M+35%
#8
Jean-Mattéo Bahoya
Eintracht Frankfurt
20617.0M26.3M+35%
#9
Ismaël Gharbi
FC Augsburg
2157.5M10.8M+30%
#10
Samuel Mbangula
SV Werder Bremen
21514.0M20.1M+30%
#11
Justin Diehl
VfB Stuttgart
2153.0M4.3M+30%
#12
David Preu
1.FC Union Berlin
215400K575K+30%
#13
Petter Nosa Dahl
Rapid Vienna
2242.5M3.3M+25%
#14
Mehmet Ibrahimi
Without Club
224125K167K+25%
#15
Alexis Tibidi
Without Club
224300K401K+25%
#16
Jakub Kaminski
1.FC Köln
2335.0M6.2M+20%
#17
Derry Scherhant
SC Freiburg
2334.0M5.0M+20%
#18
Adil Taoui
Without Club
242400K462K+14%
#19
Elias Saad
FC Augsburg
2514.0M4.3M+7%

Risk-Adjusted Upside (RAU)

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

Understanding Risk-Adjusted Upside (RAU)

Borussia Dortmund's Julien Duranville has the highest Risk-Adjusted Upside at 58.0. That means Julien Duranville has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.

In second is Red Bull Salzburg's Clement Bischoff with a 58.0 RAU (19% upside, 0% uncertainty). Third is Bazoumana Touré of TSG 1899 Hoffenheim with a 58.0 RAU (19% upside, 0% uncertainty).

How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 58.0 means the upside is 58.0× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.

Risk-Adjusted Upside by Player

Julien DuranvilleBorussia Dortmund
19% / ±0%58.0
Range: 8.7M - 11.5M
Clement BischoffRed Bull Salzburg
19% / ±0%58.0
Range: 5.1M - 6.8M
Bazoumana TouréTSG 1899 Hoffenheim
19% / ±0%58.0
Range: 9.2M - 12.2M
Tidiam GomisRB Leipzig
19% / ±0%58.0
Range: 3.1M - 4.1M
Jean-Mattéo BahoyaEintracht Frankfurt
15% / ±0%46.3
Range: 16.8M - 22.2M
Mickael DossoWolfsberger AC
15% / ±0%46.3
Range: 173K - 228K
Eliesse Ben SeghirBayer 04 Leverkusen
15% / ±0%46.3
Range: 27.7M - 36.5M
Antonio NusaRB Leipzig
15% / ±0%46.3
Range: 27.7M - 36.5M
Justin DiehlVfB Stuttgart
10% / ±0%33.7
Range: 2.9M - 3.8M
Ismaël GharbiFC Augsburg
10% / ±0%33.7
Range: 7.1M - 9.4M
Samuel MbangulaSV Werder Bremen
10% / ±0%33.7
Range: 13.3M - 17.6M
David Preu1.FC Union Berlin
10% / ±0%33.7
Range: 380K - 502K
Derry ScherhantSC Freiburg
7% / ±0%27.5
Range: 3.8M - 4.8M
Jakub Kaminski1.FC Köln
7% / ±0%27.5
Range: 4.7M - 6.0M
Alexis TibidiWithout Club
6% / ±0%23.0
Range: 279K - 356K
RankPlayerExpectedRangeUpside %RAU
#1
Julien Duranville
Borussia Dortmund
10.1M8.7M-11.5M+19%58.0
#2
Clement Bischoff
Red Bull Salzburg
6.0M5.1M-6.8M+19%58.0
#3
Bazoumana Touré
TSG 1899 Hoffenheim
10.7M9.2M-12.2M+19%58.0
#4
Tidiam Gomis
RB Leipzig
3.6M3.1M-4.1M+19%58.0
#5
Jean-Mattéo Bahoya
Eintracht Frankfurt
19.5M16.8M-22.2M+15%46.3
#6
Mickael Dosso
Wolfsberger AC
201K173K-228K+15%46.3
#7
Eliesse Ben Seghir
Bayer 04 Leverkusen
32.1M27.7M-36.5M+15%46.3
#8
Antonio Nusa
RB Leipzig
32.1M27.7M-36.5M+15%46.3
#9
Justin Diehl
VfB Stuttgart
3.3M2.9M-3.8M+10%33.7
#10
Ismaël Gharbi
FC Augsburg
8.3M7.1M-9.4M+10%33.7
#11
Samuel Mbangula
SV Werder Bremen
15.4M13.3M-17.6M+10%33.7
#12
David Preu
1.FC Union Berlin
441K380K-502K+10%33.7
#13
Derry Scherhant
SC Freiburg
4.3M3.8M-4.8M+7%27.5
#14
Jakub Kaminski
1.FC Köln
5.4M4.7M-6.0M+7%27.5
#15
Alexis Tibidi
Without Club
318K279K-356K+6%23.0
#16
Mehmet Ibrahimi
Without Club
132K116K-148K+6%23.0
#17
Petter Nosa Dahl
Rapid Vienna
2.6M2.3M-3.0M+6%23.0
#18
Linton Maina
1.FC Köln
4.1M3.6M-4.6M+3%12.0
#19
Adil Taoui
Without Club
410K360K-459K+2%9.8

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: left winger position shows strong depth (avg Z-score: 0.00). RPI: 0.00.

Position Depth Analysis

33
Total Players
0.00
Avg Z-Score
0.00
RPI Score
Weak DepthStrong Depth
-3.00+3.0

Highest Z-Scores

Luis Díaz+4.62
Antonio Nusa+1.42
Eliesse Ben Seghir+1.42
Serge Gnabry+0.96
Martin Terrier+0.58

Lowest Z-Scores

Mehmet Ibrahimi-0.70
Mickael Dosso-0.70
Alexis Tibidi-0.69
David Preu-0.68
Adil Taoui-0.68

Age-Share Concentration (ASC)

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

Understanding Age-Share Concentration (ASC)

1.FC Köln's Jakub Kaminski in the 21-23 age bracket has the highest Age-Share Concentration at +-15.3%. That means Samuel Mbangula captures 11.9% of total market value while representing only 27.3% of players in their age group—showing dominant elite status.

In second is Without Club's Mehmet Ibrahimi with a +-15.3% ASC (11.9% value share vs 27.3% player share in 21-23 bracket). Third is Samuel Mbangula of SV Werder Bremen with a +-15.3% ASC (11.9% value vs 27.3% players in 21-23 bracket).

How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-15.3% ASC means the player captures -15.3% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.

Value Concentration by Player

Jakub Kaminski1.FC Köln
21-23-15.3%
11.9% value share / 27.3% player share
Mehmet IbrahimiWithout Club
21-23-15.3%
11.9% value share / 27.3% player share
Samuel MbangulaSV Werder Bremen
21-23-15.3%
11.9% value share / 27.3% player share
Justin DiehlVfB Stuttgart
21-23-15.3%
11.9% value share / 27.3% player share
David Preu1.FC Union Berlin
21-23-15.3%
11.9% value share / 27.3% player share
Alexis TibidiWithout Club
21-23-15.3%
11.9% value share / 27.3% player share
Ismaël GharbiFC Augsburg
21-23-15.3%
11.9% value share / 27.3% player share
Derry ScherhantSC Freiburg
21-23-15.3%
11.9% value share / 27.3% player share
Petter Nosa DahlRapid Vienna
21-23-15.3%
11.9% value share / 27.3% player share
Timo WernerRB Leipzig
27-29+15.0%
42.3% value share / 27.3% player share
Donis AvdijajWolfsberger AC
27-29+15.0%
42.3% value share / 27.3% player share
Chris FührichVfB Stuttgart
27-29+15.0%
42.3% value share / 27.3% player share
Mathias Honsak1.FC Heidenheim 1846
27-29+15.0%
42.3% value share / 27.3% player share
Robin HackBorussia Mönchengladbach
27-29+15.0%
42.3% value share / 27.3% player share
Marco GrüllSV Werder Bremen
27-29+15.0%
42.3% value share / 27.3% player share
RankPlayerAge BracketValue SharePlayer ShareASC
#1
Jakub Kaminski
1.FC Köln
21-2311.9%27.3%-15.3%
#2
Mehmet Ibrahimi
Without Club
21-2311.9%27.3%-15.3%
#3
Samuel Mbangula
SV Werder Bremen
21-2311.9%27.3%-15.3%
#4
Justin Diehl
VfB Stuttgart
21-2311.9%27.3%-15.3%
#5
David Preu
1.FC Union Berlin
21-2311.9%27.3%-15.3%
#6
Alexis Tibidi
Without Club
21-2311.9%27.3%-15.3%
#7
Ismaël Gharbi
FC Augsburg
21-2311.9%27.3%-15.3%
#8
Derry Scherhant
SC Freiburg
21-2311.9%27.3%-15.3%
#9
Petter Nosa Dahl
Rapid Vienna
21-2311.9%27.3%-15.3%
#10
Timo Werner
RB Leipzig
27-2942.3%27.3%+15.0%
#11
Donis Avdijaj
Wolfsberger AC
27-2942.3%27.3%+15.0%
#12
Chris Führich
VfB Stuttgart
27-2942.3%27.3%+15.0%
#13
Mathias Honsak
1.FC Heidenheim 1846
27-2942.3%27.3%+15.0%
#14
Robin Hack
Borussia Mönchengladbach
27-2942.3%27.3%+15.0%
#15
Marco Grüll
SV Werder Bremen
27-2942.3%27.3%+15.0%
#16
Mathias Pereira Lage
FC St. Pauli
27-2942.3%27.3%+15.0%
#17
Martin Terrier
Bayer 04 Leverkusen
27-2942.3%27.3%+15.0%
#18
Luis Díaz
Bayern Munich
27-2942.3%27.3%+15.0%
#19
Mickael Dosso
Wolfsberger AC
U2132.0%24.2%+7.8%
#20
Bazoumana Touré
TSG 1899 Hoffenheim
U2132.0%24.2%+7.8%

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: 4 immediate targets, 13 standard acquisitions, 0 watch-list prospects, 9 at peak.

BUY NOW - High Upside

Bazoumana Touré
19yo • TSG 1899 Hoffenheim
9.0M
Julien Duranville
19yo • Borussia Dortmund
8.5M
Clement Bischoff
19yo • Red Bull Salzburg
5.0M
Tidiam Gomis
19yo • RB Leipzig
3.0M

WATCH LIST - High Upside

No players in this category

BUY NOW - Medium Upside

Antonio Nusa
20yo • RB Leipzig
28.0M
Eliesse Ben Seghir
20yo • Bayer 04 Leverkusen
28.0M
Jean-Mattéo Bahoya
20yo • Eintracht Frankfurt
17.0M
Samuel Mbangula
21yo • SV Werder Bremen
14.0M
Ismaël Gharbi
21yo • FC Augsburg
7.5M
Jakub Kaminski
23yo • 1.FC Köln
5.0M
Derry Scherhant
23yo • SC Freiburg
4.0M
Justin Diehl
21yo • VfB Stuttgart
3.0M
Petter Nosa Dahl
22yo • Rapid Vienna
2.5M
David Preu
21yo • 1.FC Union Berlin
400K
Alexis Tibidi
22yo • Without Club
300K
Mickael Dosso
20yo • Wolfsberger AC
175K
Mehmet Ibrahimi
22yo • Without Club
125K

PEAK Players

Luis Díaz
28yo • Bayern Munich
70.0M
Martin Terrier
28yo • Bayer 04 Leverkusen
17.0M
Chris Führich
27yo • VfB Stuttgart
15.0M
Robin Hack
27yo • Borussia Mönchengladbach
12.0M
Elias Saad
25yo • FC Augsburg
4.0M
Marco Grüll
27yo • SV Werder Bremen
4.0M
Linton Maina
26yo • 1.FC Köln
4.0M
Mathias Honsak
28yo • 1.FC Heidenheim 1846
2.0M
Adil Taoui
24yo • Without Club
400K

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 70.0M. 0 undervalued, 0 premium.

Value Positioning vs Peers

Mickael DossoWolfsberger AC
175K-1.00
Fair value
Marius Bülter1.FC Köln
2.5M-1.00
Fair value
Timo WernerRB Leipzig
7.0M-1.00
Fair value
Chris FührichVfB Stuttgart
15.0M-1.00
Fair value
Adil TaouiWithout Club
400K-1.00
Fair value
Jean-Mattéo BahoyaEintracht Frankfurt
17.0M-1.00
Fair value
Mehmet IbrahimiWithout Club
125K-0.88
Fair value
Clement BischoffRed Bull Salzburg
5.0M-0.88
Fair value
Alexis TibidiWithout Club
300K-0.81
Fair value
David Preu1.FC Union Berlin
400K-0.78
Fair value
Donis AvdijajWolfsberger AC
1.0M-0.75
Fair value
Jakub Kaminski1.FC Köln
5.0M-0.28
Fair value
Mathias Honsak1.FC Heidenheim 1846
2.0M-0.25
Fair value
Serge GnabryBayern Munich
22.0M0.00
Fair value
Vincenzo GrifoSC Freiburg
6.0M0.00
Fair value
PlayerMarket ValuePosition MedianZ-ScoreAssessment
Mickael Dosso
Wolfsberger AC
175K4.0M-1.00Good Value
Marius Bülter
1.FC Köln
2.5M4.0M-1.00Good Value
Timo Werner
RB Leipzig
7.0M4.0M-1.00Good Value
Chris Führich
VfB Stuttgart
15.0M4.0M-1.00Good Value
Adil Taoui
Without Club
400K4.0M-1.00Good Value
Jean-Mattéo Bahoya
Eintracht Frankfurt
17.0M4.0M-1.00Good Value
Mehmet Ibrahimi
Without Club
125K4.0M-0.88Good Value
Clement Bischoff
Red Bull Salzburg
5.0M4.0M-0.88Good Value
Alexis Tibidi
Without Club
300K4.0M-0.81Good Value
David Preu
1.FC Union Berlin
400K4.0M-0.78Good Value
Donis Avdijaj
Wolfsberger AC
1.0M4.0M-0.75Good Value
Jakub Kaminski
1.FC Köln
5.0M4.0M-0.28Fair Value
Mathias Honsak
1.FC Heidenheim 1846
2.0M4.0M-0.25Fair Value
Serge Gnabry
Bayern Munich
22.0M4.0M0.00Fair Value
Vincenzo Grifo
SC Freiburg
6.0M4.0M0.00Fair Value
Robin Hack
Borussia Mönchengladbach
12.0M4.0M0.00Fair Value
Jean-Luc Dompé
Hamburger SV
3.5M4.0M0.00Fair Value
Linton Maina
1.FC Köln
4.0M4.0M0.00Fair Value
Mathias Pereira Lage
FC St. Pauli
2.5M4.0M0.00Fair Value
Martin Terrier
Bayer 04 Leverkusen
17.0M4.0M0.00Fair Value