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Best Goalkeepers in the Bundesliga (Apr 2026)

Ranked by Analytical Strength Score

Market Overview: Bundesliga Goalkeepers 2022-23

Our database tracked 62 Bundesliga Goalkeepers in the 2022-23 season, representing 24 clubs with a combined market value of 197.4M. The average market value for Bundesliga Goalkeepers was 3.2M, with the average age at 29.4 years old.

The most valuable goalkeeper in the Bundesliga was Gregor Kobel, worth 40.0M and played for Borussia Dortmund at 28 years old. The top 5 Goalkeepers averaged €19.2M in market value, including Noah Atubolu and Kamil Grabara.

Age distribution showed the youngest tracked goalkeeper was Tiago Pereira Cardoso (20 years, Borussia Mönchengladbach, 1.5M), while the oldest was Manuel Neuer (40 years, Bayern Munich, 4.0M). Research shows Goalkeepers typically peak at age 29.

Historical analysis showed 26 Goalkeepers (42%) 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 Goalkeepers 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 Goalkeepers. Identify undervalued assets and track market momentum across 24 clubs with 197.4M combined value.

62
Players Tracked
🔍
Age: 1840
0M–200M
Showing 62 of 62

Age Distribution: Bundesliga Goalkeepers

The Bundesliga GK market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (33 players, 53% of market). The 27-29 age group holds the most value at 82.9M, averaging 10.4M per player.

U21 years1 players (2%)
1.5MAvg: 1.5M
Top player: Tiago Pereira Cardoso (1.5M)
21-23 years10 players (16%)
37.1MAvg: 3.7M
Top player: Noah Atubolu (18.0M)
24-26 years10 players (16%)
25.6MAvg: 2.6M
Top player: Maarten Vandevoordt (8.0M)
27-29 years8 players (13%)
82.9MAvg: 10.4M
Top player: Gregor Kobel (40.0M)
30+ years33 players (53%)
50.2MAvg: 1.5M
Top player: Mark Flekken (10.0M)

Top Goalkeepers by Age Bracket

U21 Years (1 players)

1. Tiago Pereira Cardoso(20yo)
1.5M

21-23 Years (10 players)

1. Noah Atubolu(23yo)
18.0M
2. Jonas Urbig(22yo)
12.0M
3. Kauã Santos(23yo)
2.5M
4. Mio Backhaus(22yo)
2.0M
5. Daniil Khudyakov(22yo)
800K

24-26 Years (10 players)

1. Maarten Vandevoordt(24yo)
8.0M
2. Diant Ramaj(24yo)
7.0M
3. Daniel Peretz(25yo)
3.0M
4. Karl Hein(24yo)
3.0M
5. Nediljko Labrovic(26yo)
2.5M

27-29 Years (8 players)

1. Gregor Kobel(28yo)
40.0M
2. Kamil Grabara(27yo)
14.0M
3. Alexander Nübel(29yo)
12.0M
4. Finn Dahmen(28yo)
9.0M
5. Moritz Nicolas(28yo)
5.0M

Market Value Distribution

Elite Tier Concentration

58%of market value

The top 7 Goalkeepers (11% of players) control 115.0M

1. Gregor Kobel40.0M
2. Noah Atubolu18.0M
3. Kamil Grabara14.0M
4. Jonas Urbig12.0M
5. Alexander Nübel12.0M

Market Tiers

Premium (€30-50M)1 players (2%)
40.0M
High (€15-30M)1 players (2%)
18.0M
Mid (€5-15M)8 players (13%)
77.0M
Emerging (<€5M)52 players (84%)
62.3M

Market structure shows distributed value with premium (€30-50m) tier representing 2% of the Bundesliga GK pool.

Premium (€30-50M)

1. Gregor Kobel
Borussia Dortmund40.0M

High (€15-30M)

1. Noah Atubolu
SC Freiburg18.0M

Mid (€5-15M)

1. Kamil Grabara
VfL Wolfsburg14.0M
2. Jonas Urbig
Bayern Munich12.0M
3. Alexander Nübel
VfB Stuttgart12.0M
4. Mark Flekken
Bayer 04 Leverkusen10.0M
5. Finn Dahmen
FC Augsburg9.0M

Club Distribution: Bundesliga Goalkeepers

Among 24 Bundesliga clubs, Borussia Dortmund leads with 4 Goalkeepers worth 41.5M (averaging 10.4M per player). The top 10 clubs account for 52% of tracked Goalkeepers.

#1
Borussia Dortmund
4 players • 41.5M
#2
SC Freiburg
3 players • 19.6M
#3
Bayern Munich
3 players • 16.5M
#4
VfL Wolfsburg
3 players • 15.8M
#5
VfB Stuttgart
3 players • 13.1M
#6
FC Augsburg
3 players • 11.7M
#7
Bayer 04 Leverkusen
3 players • 10.9M
#8
RB Leipzig
3 players • 10.4M
#9
Borussia Mönchengladbach
4 players • 9.3M
#10
1.FC Heidenheim 1846
3 players • 8.2M

Borussia Dortmund (4 Goalkeepers)

Gregor Kobel(28yo)
40.0M
Alexander Meyer(35yo)
800K
Patrick Drewes(33yo)
500K
Silas Ostrzinski(22yo)
200K

SC Freiburg (3 Goalkeepers)

Noah Atubolu(23yo)
18.0M
Florian Müller(28yo)
1.2M
Jannik Huth(32yo)
400K

Bayern Munich (3 Goalkeepers)

Jonas Urbig(22yo)
12.0M
Manuel Neuer(40yo)
4.0M
Sven Ulreich(37yo)
500K

VfL Wolfsburg (3 Goalkeepers)

Kamil Grabara(27yo)
14.0M
Marius Müller(32yo)
1.5M
Pavao Pervan(38yo)
300K

Player Rankings

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

#1

Gregor Kobel

Borussia Dortmund28 years old

34.6M

40.0M

+15.6%

37.4M44.0M

Expected: 40.7M

87.5

#2

Noah Atubolu

SC Freiburg23 years old

15.6M

18.0M

+15.6%

19.0M22.3M

Expected: 20.6M

72.9

#3

Kamil Grabara

VfL Wolfsburg27 years old

12.1M

14.0M

+15.6%

13.2M15.5M

Expected: 14.3M

69.7

#4

Jonas Urbig

Bayern Munich22 years old

10.4M

12.0M

+15.6%

13.1M15.4M

Expected: 14.3M

67.7

#5

Alexander Nübel

VfB Stuttgart29 years old

10.4M

12.0M

+15.6%

11.4M13.3M

Expected: 12.4M

66.8

#6

Mark Flekken

Bayer 04 Leverkusen32 years old

12.9M

10.0M

-22.6%

7.8M9.2M

Expected: 8.5M

62.4

#7

Finn Dahmen

FC Augsburg28 years old

7.8M

9.0M

+15.6%

8.1M9.5M

Expected: 8.8M

60.2

#8

Maarten Vandevoordt

RB Leipzig24 years old

6.9M

8.0M

+15.6%

8.1M9.5M

Expected: 8.8M

59.3

#9

Diant Ramaj

1.FC Heidenheim 184624 years old

6.1M

7.0M

+15.6%

7.1M8.3M

Expected: 7.7M

57.6

#10

Manuel Neuer

Bayern Munich40 years old

5.2M

4.0M

-22.6%

3.3M3.9M

Expected: 3.6M

54.2

#11

Moritz Nicolas

Borussia Mönchengladbach28 years old

4.3M

5.0M

+15.6%

4.5M5.3M

Expected: 4.9M

52.6

#12

Michael Zetterer

Eintracht Frankfurt30 years old

4.8M

4.5M

-5.4%

3.7M4.4M

Expected: 4.0M

51.2

#13

Robin Zentner

1.FSV Mainz 0531 years old

5.2M

4.0M

-22.6%

3.3M3.9M

Expected: 3.6M

50.1

#14

Nikola Vasilj

FC St. Pauli30 years old

3.7M

3.5M

-5.4%

2.9M3.4M

Expected: 3.1M

47.9

#15

Oliver Baumann

TSG 1899 Hoffenheim35 years old

3.9M

3.0M

-22.6%

2.4M2.9M

Expected: 2.7M

44.8

#16

Frederik Rönnow

1.FC Union Berlin33 years old

3.9M

3.0M

-22.6%

2.3M2.8M

Expected: 2.6M

43.9

#17

Daniel Peretz

Hamburger SV25 years old

2.6M

3.0M

+15.6%

2.9M3.4M

Expected: 3.2M

43.4

#18

Karl Hein

SV Werder Bremen24 years old

2.6M

3.0M

+15.6%

3.0M3.6M

Expected: 3.3M

43.3

#19

Nediljko Labrovic

FC Augsburg26 years old

2.2M

2.5M

+15.6%

2.5M2.9M

Expected: 2.7M

41.3

#20

Jonas Omlin

Borussia Mönchengladbach32 years old

3.2M

2.5M

-22.6%

2.0M2.3M

Expected: 2.1M

41.1

Showing 1-20 of 62

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)

SC Freiburg's Noah Atubolu at 23 years old has the highest Pre-Peak Value Efficiency at 22.50×. That means Noah Atubolu is valued 22.50× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.

In second is Bayern Munich's Jonas Urbig, who is 22 years old, with a 15.00× PPVE. Third is Kauã Santos of Eintracht Frankfurt, who is 23 years old with a 3.13× 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 22.50× means the player is worth 2150% more than typical players their age—making them high-value targets before they reach peak value.

PPVE by Age Bracket

Noah AtuboluSC Freiburg
21-2323yo22.50×
18.0M2150% above median
Jonas UrbigBayern Munich
21-2322yo15.00×
12.0M1400% above median
Kauã SantosEintracht Frankfurt
21-2323yo3.13×
2.5M213% above median
Maarten VandevoordtRB Leipzig
24-2624yo2.67×
8.0M167% above median
Mio BackhausSV Werder Bremen
21-2322yo2.50×
2.0M150% above median
Diant Ramaj1.FC Heidenheim 1846
24-2624yo2.33×
7.0M133% above median
Daniel PeretzHamburger SV
24-2625yo1.00×
3.0M0% above median
Karl HeinSV Werder Bremen
24-2624yo1.00×
3.0M0% above median
Daniil KhudyakovSK Sturm Graz
21-2322yo1.00×
800K0% above median
Tiago Pereira CardosoBorussia Mönchengladbach
U2120yo1.00×
1.5M0% above median
Tom Ritzy HülsmannTSV Hartberg
21-2322yo0.63×
500K-38% above median
Frank Feller1.FC Heidenheim 1846
21-2322yo0.63×
500K-38% above median
Matteo BignettiSK Sturm Graz
21-2321yo0.50×
400K-50% above median
Lúkas PeterssonTSG 1899 Hoffenheim
21-2322yo0.31×
250K-69% above median
Luca PhilippTSG 1899 Hoffenheim
24-2625yo0.25×
750K-75% above median
RankPlayerAgeBracketCurrent ValueBracket MedianPPVE
#1
Noah Atubolu
SC Freiburg
2321-2318.0M800K22.50×
#2
Jonas Urbig
Bayern Munich
2221-2312.0M800K15.00×
#3
Kauã Santos
Eintracht Frankfurt
2321-232.5M800K3.13×
#4
Maarten Vandevoordt
RB Leipzig
2424-268.0M3.0M2.67×
#5
Mio Backhaus
SV Werder Bremen
2221-232.0M800K2.50×
#6
Diant Ramaj
1.FC Heidenheim 1846
2424-267.0M3.0M2.33×
#7
Daniel Peretz
Hamburger SV
2524-263.0M3.0M1.00×
#8
Karl Hein
SV Werder Bremen
2424-263.0M3.0M1.00×
#9
Daniil Khudyakov
SK Sturm Graz
2221-23800K800K1.00×
#10
Tiago Pereira Cardoso
Borussia Mönchengladbach
20U211.5M1.5M1.00×
#11
Tom Ritzy Hülsmann
TSV Hartberg
2221-23500K800K0.63×
#12
Frank Feller
1.FC Heidenheim 1846
2221-23500K800K0.63×
#13
Matteo Bignetti
SK Sturm Graz
2121-23400K800K0.50×
#14
Lúkas Petersson
TSG 1899 Hoffenheim
2221-23250K800K0.31×
#15
Luca Philipp
TSG 1899 Hoffenheim
2524-26750K3.0M0.25×
#16
Silas Ostrzinski
Borussia Dortmund
2221-23200K800K0.25×
#17
Ben Voll
FC St. Pauli
2524-26500K3.0M0.17×
#18
Lasse Rieß
1.FSV Mainz 05
2424-26400K3.0M0.13×
#19
Daniel Klein
FC Augsburg
2524-26150K3.0M0.05×

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)

Borussia Mönchengladbach's Tiago Pereira Cardoso at 20 years old has the highest Return-to-Peak Potential at +48%. That means Tiago Pereira Cardoso is projected to appreciate 48% as they reach their peak age in 6 years—representing significant upside before entering their prime.

In second is SK Sturm Graz's Matteo Bignetti, who is 21 years old, with a +44% RPP (5 years to peak). Third is Mio Backhaus of SV Werder Bremen, who is 22 years old with a +40% RPP (4 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 48% RPP means the player is expected to gain 48% value as they enter their prime—making them excellent growth investments.

Recovery Potential by Player

Tiago Pereira CardosoBorussia Mönchengladbach
6yr to peak+48%
1.5M2.9M
Matteo BignettiSK Sturm Graz
5yr to peak+44%
400K715K
Mio BackhausSV Werder Bremen
4yr to peak+40%
2.0M3.3M
Tom Ritzy HülsmannTSV Hartberg
4yr to peak+40%
500K831K
Silas OstrzinskiBorussia Dortmund
4yr to peak+40%
200K332K
Lúkas PeterssonTSG 1899 Hoffenheim
4yr to peak+40%
250K415K
Daniil KhudyakovSK Sturm Graz
4yr to peak+40%
800K1.3M
Frank Feller1.FC Heidenheim 1846
4yr to peak+40%
500K831K
Jonas UrbigBayern Munich
4yr to peak+40%
12.0M19.9M
Kauã SantosEintracht Frankfurt
3yr to peak+35%
2.5M3.9M
Noah AtuboluSC Freiburg
3yr to peak+35%
18.0M27.8M
Maarten VandevoordtRB Leipzig
2yr to peak+30%
8.0M11.5M
Diant Ramaj1.FC Heidenheim 1846
2yr to peak+30%
7.0M10.1M
Lasse Rieß1.FSV Mainz 05
2yr to peak+30%
400K575K
Karl HeinSV Werder Bremen
2yr to peak+30%
3.0M4.3M
RankPlayerAgeYears to PeakCurrentPeak ForecastRPP %
#1
Tiago Pereira Cardoso
Borussia Mönchengladbach
2061.5M2.9M+48%
#2
Matteo Bignetti
SK Sturm Graz
215400K715K+44%
#3
Mio Backhaus
SV Werder Bremen
2242.0M3.3M+40%
#4
Tom Ritzy Hülsmann
TSV Hartberg
224500K831K+40%
#5
Silas Ostrzinski
Borussia Dortmund
224200K332K+40%
#6
Lúkas Petersson
TSG 1899 Hoffenheim
224250K415K+40%
#7
Daniil Khudyakov
SK Sturm Graz
224800K1.3M+40%
#8
Frank Feller
1.FC Heidenheim 1846
224500K831K+40%
#9
Jonas Urbig
Bayern Munich
22412.0M19.9M+40%
#10
Kauã Santos
Eintracht Frankfurt
2332.5M3.9M+35%
#11
Noah Atubolu
SC Freiburg
23318.0M27.8M+35%
#12
Maarten Vandevoordt
RB Leipzig
2428.0M11.5M+30%
#13
Diant Ramaj
1.FC Heidenheim 1846
2427.0M10.1M+30%
#14
Lasse Rieß
1.FSV Mainz 05
242400K575K+30%
#15
Karl Hein
SV Werder Bremen
2423.0M4.3M+30%
#16
Daniel Klein
FC Augsburg
251150K201K+25%
#17
Ben Voll
FC St. Pauli
251500K668K+25%
#18
Luca Philipp
TSG 1899 Hoffenheim
251750K1.0M+25%
#19
Daniel Peretz
Hamburger SV
2513.0M4.0M+25%

Risk-Adjusted Upside (RAU)

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

Understanding Risk-Adjusted Upside (RAU)

Borussia Mönchengladbach's Tiago Pereira Cardoso has the highest Risk-Adjusted Upside at 118.5. That means Tiago Pereira Cardoso has 28% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.

In second is SK Sturm Graz's Matteo Bignetti with a 103.3 RAU (23% upside, 0% uncertainty). Third is Mio Backhaus of SV Werder Bremen with a 100.1 RAU (19% upside, 0% uncertainty).

How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 118.5 means the upside is 118.5× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.

Risk-Adjusted Upside by Player

Tiago Pereira CardosoBorussia Mönchengladbach
28% / ±0%118.5
Range: 1.7M - 2.1M
Matteo BignettiSK Sturm Graz
23% / ±0%103.3
Range: 448K - 539K
Mio BackhausSV Werder Bremen
19% / ±0%100.1
Range: 2.2M - 2.6M
Tom Ritzy HülsmannTSV Hartberg
19% / ±0%100.1
Range: 548K - 643K
Lúkas PeterssonTSG 1899 Hoffenheim
19% / ±0%100.1
Range: 274K - 321K
Frank Feller1.FC Heidenheim 1846
19% / ±0%100.1
Range: 548K - 643K
Silas OstrzinskiBorussia Dortmund
19% / ±0%100.1
Range: 219K - 257K
Daniil KhudyakovSK Sturm Graz
19% / ±0%100.1
Range: 876K - 1.0M
Jonas UrbigBayern Munich
19% / ±0%100.1
Range: 13.1M - 15.4M
Noah AtuboluSC Freiburg
15% / ±0%79.9
Range: 19.0M - 22.3M
Kauã SantosEintracht Frankfurt
15% / ±0%79.9
Range: 2.6M - 3.1M
Diant Ramaj1.FC Heidenheim 1846
10% / ±0%58.1
Range: 7.1M - 8.3M
Maarten VandevoordtRB Leipzig
10% / ±0%58.1
Range: 8.1M - 9.5M
Karl HeinSV Werder Bremen
10% / ±0%58.1
Range: 3.0M - 3.6M
Lasse Rieß1.FSV Mainz 05
10% / ±0%58.1
Range: 406K - 476K
RankPlayerExpectedRangeUpside %RAU
#1
Tiago Pereira Cardoso
Borussia Mönchengladbach
1.9M1.7M-2.1M+28%118.5
#2
Matteo Bignetti
SK Sturm Graz
494K448K-539K+23%103.3
#3
Mio Backhaus
SV Werder Bremen
2.4M2.2M-2.6M+19%100.1
#4
Tom Ritzy Hülsmann
TSV Hartberg
595K548K-643K+19%100.1
#5
Lúkas Petersson
TSG 1899 Hoffenheim
298K274K-321K+19%100.1
#6
Frank Feller
1.FC Heidenheim 1846
595K548K-643K+19%100.1
#7
Silas Ostrzinski
Borussia Dortmund
238K219K-257K+19%100.1
#8
Daniil Khudyakov
SK Sturm Graz
953K876K-1.0M+19%100.1
#9
Jonas Urbig
Bayern Munich
14.3M13.1M-15.4M+19%100.1
#10
Noah Atubolu
SC Freiburg
20.6M19.0M-22.3M+15%79.9
#11
Kauã Santos
Eintracht Frankfurt
2.9M2.6M-3.1M+15%79.9
#12
Diant Ramaj
1.FC Heidenheim 1846
7.7M7.1M-8.3M+10%58.1
#13
Maarten Vandevoordt
RB Leipzig
8.8M8.1M-9.5M+10%58.1
#14
Karl Hein
SV Werder Bremen
3.3M3.0M-3.6M+10%58.1
#15
Lasse Rieß
1.FSV Mainz 05
441K406K-476K+10%58.1
#16
Nediljko Labrovic
FC Augsburg
2.7M2.5M-2.9M+7%41.2
#17
Stefan Drljaca
VfB Stuttgart
348K320K-376K+7%41.2
#18
Daniel Klein
FC Augsburg
159K146K-171K+6%34.5
#19
Ben Voll
FC St. Pauli
529K487K-572K+6%34.5
#20
Luca Philipp
TSG 1899 Hoffenheim
794K730K-857K+6%34.5

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

Position Depth Analysis

62
Total Players
0.00
Avg Z-Score
0.00
RPI Score
Weak DepthStrong Depth
-3.00+3.0

Highest Z-Scores

Gregor Kobel+6.12
Noah Atubolu+2.46
Kamil Grabara+1.80
Jonas Urbig+1.46
Alexander Nübel+1.46

Lowest Z-Scores

Daniel Klein-0.50
Fabian Ehmann-0.50
Silas Ostrzinski-0.50
Sascha Burchert-0.50
Jens Grahl-0.50

Age-Share Concentration (ASC)

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

Understanding Age-Share Concentration (ASC)

VfB Stuttgart's Alexander Nübel in the 27-29 age bracket has the highest Age-Share Concentration at +29.1%. That means Gregor Kobel captures 42.0% of total market value while representing only 12.9% of players in their age group—showing dominant elite status.

In second is FC Augsburg's Finn Dahmen with a +29.1% ASC (42.0% value share vs 12.9% player share in 27-29 bracket). Third is Gregor Kobel of Borussia Dortmund with a +29.1% ASC (42.0% value vs 12.9% players in 27-29 bracket).

How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +29.1% ASC means the player captures 29.1% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.

Value Concentration by Player

Alexander NübelVfB Stuttgart
27-29+29.1%
42.0% value share / 12.9% player share
Finn DahmenFC Augsburg
27-29+29.1%
42.0% value share / 12.9% player share
Gregor KobelBorussia Dortmund
27-29+29.1%
42.0% value share / 12.9% player share
Moritz NicolasBorussia Mönchengladbach
27-29+29.1%
42.0% value share / 12.9% player share
Florian MüllerSC Freiburg
27-29+29.1%
42.0% value share / 12.9% player share
Fabian EhmannGrazer AK 1902
27-29+29.1%
42.0% value share / 12.9% player share
Kamil GrabaraVfL Wolfsburg
27-29+29.1%
42.0% value share / 12.9% player share
Oliver ChristensenSK Sturm Graz
27-29+29.1%
42.0% value share / 12.9% player share
Frederik Rönnow1.FC Union Berlin
30+-27.8%
25.4% value share / 53.2% player share
Dejan StojanovicSCR Altach
30+-27.8%
25.4% value share / 53.2% player share
Marius MüllerVfL Wolfsburg
30+-27.8%
25.4% value share / 53.2% player share
Mark FlekkenBayer 04 Leverkusen
30+-27.8%
25.4% value share / 53.2% player share
Eric OelschlägelWithout Club
30+-27.8%
25.4% value share / 53.2% player share
Marvin Schwäbe1.FC Köln
30+-27.8%
25.4% value share / 53.2% player share
Jannik HuthSC Freiburg
30+-27.8%
25.4% value share / 53.2% player share
RankPlayerAge BracketValue SharePlayer ShareASC
#1
Alexander Nübel
VfB Stuttgart
27-2942.0%12.9%+29.1%
#2
Finn Dahmen
FC Augsburg
27-2942.0%12.9%+29.1%
#3
Gregor Kobel
Borussia Dortmund
27-2942.0%12.9%+29.1%
#4
Moritz Nicolas
Borussia Mönchengladbach
27-2942.0%12.9%+29.1%
#5
Florian Müller
SC Freiburg
27-2942.0%12.9%+29.1%
#6
Fabian Ehmann
Grazer AK 1902
27-2942.0%12.9%+29.1%
#7
Kamil Grabara
VfL Wolfsburg
27-2942.0%12.9%+29.1%
#8
Oliver Christensen
SK Sturm Graz
27-2942.0%12.9%+29.1%
#9
Frederik Rönnow
1.FC Union Berlin
30+25.4%53.2%-27.8%
#10
Dejan Stojanovic
SCR Altach
30+25.4%53.2%-27.8%
#11
Marius Müller
VfL Wolfsburg
30+25.4%53.2%-27.8%
#12
Mark Flekken
Bayer 04 Leverkusen
30+25.4%53.2%-27.8%
#13
Eric Oelschlägel
Without Club
30+25.4%53.2%-27.8%
#14
Marvin Schwäbe
1.FC Köln
30+25.4%53.2%-27.8%
#15
Jannik Huth
SC Freiburg
30+25.4%53.2%-27.8%
#16
Robin Zentner
1.FSV Mainz 05
30+25.4%53.2%-27.8%
#17
Leopold Zingerle
RB Leipzig
30+25.4%53.2%-27.8%
#18
Carl Klaus
1.FC Union Berlin
30+25.4%53.2%-27.8%
#19
Manuel Neuer
Bayern Munich
30+25.4%53.2%-27.8%
#20
Fabian Bredlow
VfB Stuttgart
30+25.4%53.2%-27.8%

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: 9 immediate targets, 10 standard acquisitions, 0 watch-list prospects, 9 at peak.

BUY NOW - High Upside

Jonas Urbig
22yo • Bayern Munich
12.0M
Mio Backhaus
22yo • SV Werder Bremen
2.0M
Tiago Pereira Cardoso
20yo • Borussia Mönchengladbach
1.5M
Daniil Khudyakov
22yo • SK Sturm Graz
800K
Frank Feller
22yo • 1.FC Heidenheim 1846
500K
Tom Ritzy Hülsmann
22yo • TSV Hartberg
500K
Matteo Bignetti
21yo • SK Sturm Graz
400K
Lúkas Petersson
22yo • TSG 1899 Hoffenheim
250K
Silas Ostrzinski
22yo • Borussia Dortmund
200K

WATCH LIST - High Upside

No players in this category

BUY NOW - Medium Upside

Noah Atubolu
23yo • SC Freiburg
18.0M
Maarten Vandevoordt
24yo • RB Leipzig
8.0M
Diant Ramaj
24yo • 1.FC Heidenheim 1846
7.0M
Daniel Peretz
25yo • Hamburger SV
3.0M
Karl Hein
24yo • SV Werder Bremen
3.0M
Kauã Santos
23yo • Eintracht Frankfurt
2.5M
Luca Philipp
25yo • TSG 1899 Hoffenheim
750K
Ben Voll
25yo • FC St. Pauli
500K
Lasse Rieß
24yo • 1.FSV Mainz 05
400K
Daniel Klein
25yo • FC Augsburg
150K

PEAK Players

Gregor Kobel
28yo • Borussia Dortmund
40.0M
Kamil Grabara
27yo • VfL Wolfsburg
14.0M
Finn Dahmen
28yo • FC Augsburg
9.0M
Moritz Nicolas
28yo • Borussia Mönchengladbach
5.0M
Nediljko Labrovic
26yo • FC Augsburg
2.5M
Oliver Christensen
27yo • SK Sturm Graz
1.5M
Florian Müller
28yo • SC Freiburg
1.2M
Stefan Drljaca
26yo • VfB Stuttgart
325K
Fabian Ehmann
27yo • Grazer AK 1902
175K

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 500K. 0 undervalued, 4 premium.

Value Positioning vs Peers

Moritz NicolasBorussia Mönchengladbach
5.0M-1.40
Undervalued
Diant Ramaj1.FC Heidenheim 1846
7.0M-1.00
Fair value
Fabian EhmannGrazer AK 1902
175K-0.77
Fair value
Finn DahmenFC Augsburg
9.0M-0.60
Fair value
Sascha BurchertFC St. Pauli
200K-0.29
Fair value
Jens GrahlEintracht Frankfurt
200K-0.29
Fair value
Vitus EicherWithout Club
250K-0.26
Fair value
Niklas LombBayer 04 Leverkusen
250K-0.26
Fair value
Daniel Batz1.FSV Mainz 05
250K-0.26
Fair value
Eric OelschlägelWithout Club
300K-0.24
Fair value
Tobias SippelBorussia Mönchengladbach
300K-0.24
Fair value
Pavao PervanVfL Wolfsburg
300K-0.24
Fair value
Markus KolkeSV Werder Bremen
300K-0.24
Fair value
Daniel KleinFC Augsburg
150K-0.23
Fair value
Carl Klaus1.FC Union Berlin
350K-0.21
Fair value
PlayerMarket ValuePosition MedianZ-ScoreAssessment
Moritz Nicolas
Borussia Mönchengladbach
5.0M800K-1.40Good Value
Diant Ramaj
1.FC Heidenheim 1846
7.0M800K-1.00Good Value
Fabian Ehmann
Grazer AK 1902
175K800K-0.77Good Value
Finn Dahmen
FC Augsburg
9.0M800K-0.60Good Value
Sascha Burchert
FC St. Pauli
200K800K-0.29Fair Value
Jens Grahl
Eintracht Frankfurt
200K800K-0.29Fair Value
Vitus Eicher
Without Club
250K800K-0.26Fair Value
Niklas Lomb
Bayer 04 Leverkusen
250K800K-0.26Fair Value
Daniel Batz
1.FSV Mainz 05
250K800K-0.26Fair Value
Eric Oelschlägel
Without Club
300K800K-0.24Fair Value
Tobias Sippel
Borussia Mönchengladbach
300K800K-0.24Fair Value
Pavao Pervan
VfL Wolfsburg
300K800K-0.24Fair Value
Markus Kolke
SV Werder Bremen
300K800K-0.24Fair Value
Daniel Klein
FC Augsburg
150K800K-0.23Fair Value
Carl Klaus
1.FC Union Berlin
350K800K-0.21Fair Value
Silas Ostrzinski
Borussia Dortmund
200K800K-0.19Fair Value
Jannik Huth
SC Freiburg
400K800K-0.18Fair Value
Leopold Zingerle
RB Leipzig
400K800K-0.18Fair Value
Stefan Drljaca
VfB Stuttgart
325K800K-0.16Fair Value
Lúkas Petersson
TSG 1899 Hoffenheim
250K800K-0.16Fair Value