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Best Goalkeepers in the Bundesliga (Dec 2025)

Ranked by Analytical Strength Score

Market Overview: Bundesliga Goalkeepers 2024-25

Our database tracked 62 Bundesliga Goalkeepers in the 2024-25 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 29.0 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 (19 years, Borussia Mönchengladbach, 1.5M), while the oldest was Manuel Neuer (39 years, Bayern Munich, 4.0M). Research shows Goalkeepers typically peak at age 29.

Historical analysis showed 27 Goalkeepers (44%) 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 2024-25 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 67.4M, averaging 11.2M per player.

U21 years1 players (2%)
1.5MAvg: 1.5M
Top player: Tiago Pereira Cardoso (1.5M)
21-23 years12 players (19%)
48.1MAvg: 4.0M
Top player: Noah Atubolu (18.0M)
24-26 years10 players (16%)
30.1MAvg: 3.0M
Top player: Kamil Grabara (14.0M)
27-29 years6 players (10%)
67.4MAvg: 11.2M
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(19yo)
1.5M

21-23 Years (12 players)

1. Noah Atubolu(23yo)
18.0M
2. Jonas Urbig(22yo)
12.0M
3. Maarten Vandevoordt(23yo)
8.0M
4. Karl Hein(23yo)
3.0M
5. Kauã Santos(22yo)
2.5M

24-26 Years (10 players)

1. Kamil Grabara(26yo)
14.0M
2. Diant Ramaj(24yo)
7.0M
3. Daniel Peretz(25yo)
3.0M
4. Nediljko Labrovic(26yo)
2.5M
5. Oliver Christensen(26yo)
1.5M

27-29 Years (6 players)

1. Gregor Kobel(28yo)
40.0M
2. Alexander Nübel(29yo)
12.0M
3. Finn Dahmen(27yo)
9.0M
4. Moritz Nicolas(28yo)
5.0M
5. Florian Müller(28yo)
1.2M

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(34yo)
800K
Patrick Drewes(32yo)
500K
Silas Ostrzinski(22yo)
200K

SC Freiburg (3 Goalkeepers)

Noah Atubolu(23yo)
18.0M
Florian Müller(28yo)
1.2M
Jannik Huth(31yo)
400K

Bayern Munich (3 Goalkeepers)

Jonas Urbig(22yo)
12.0M
Manuel Neuer(39yo)
4.0M
Sven Ulreich(37yo)
500K

VfL Wolfsburg (3 Goalkeepers)

Kamil Grabara(26yo)
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 Wolfsburg26 years old

12.1M

14.0M

+15.6%

13.8M16.2M

Expected: 15.0M

70.2

#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 Augsburg27 years old

7.8M

9.0M

+15.6%

8.5M10.0M

Expected: 9.2M

60.7

#8

Maarten Vandevoordt

RB Leipzig23 years old

6.9M

8.0M

+15.6%

8.4M9.9M

Expected: 9.2M

59.1

#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 Munich39 years old

5.2M

4.0M

-22.6%

3.3M3.9M

Expected: 3.6M

53.8

#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 Bremen23 years old

2.6M

3.0M

+15.6%

3.2M3.7M

Expected: 3.4M

43.1

#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 Mönchengladbach31 years old

3.2M

2.5M

-22.6%

2.1M2.4M

Expected: 2.2M

40.7

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)

1.FC Heidenheim 1846's Diant Ramaj at 24 years old has the highest Pre-Peak Value Efficiency at 9.33×. That means Diant Ramaj is valued 9.33× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.

In second is SC Freiburg's Noah Atubolu, who is 23 years old, with a 9.00× PPVE. Third is Jonas Urbig of Bayern Munich, who is 22 years old with a 6.00× 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 9.33× means the player is worth 833% more than typical players their age—making them high-value targets before they reach peak value.

PPVE by Age Bracket

Diant Ramaj1.FC Heidenheim 1846
24-2624yo9.33×
7.0M833% above median
Noah AtuboluSC Freiburg
21-2323yo9.00×
18.0M800% above median
Jonas UrbigBayern Munich
21-2322yo6.00×
12.0M500% above median
Daniel PeretzHamburger SV
24-2625yo4.00×
3.0M300% above median
Maarten VandevoordtRB Leipzig
21-2323yo4.00×
8.0M300% above median
Karl HeinSV Werder Bremen
21-2323yo1.50×
3.0M50% above median
Kauã SantosEintracht Frankfurt
21-2322yo1.25×
2.5M25% above median
Luca PhilippTSG 1899 Hoffenheim
24-2625yo1.00×
750K0% above median
Mio BackhausSV Werder Bremen
21-2321yo1.00×
2.0M0% above median
Tiago Pereira CardosoBorussia Mönchengladbach
U2119yo1.00×
1.5M0% above median
Ben VollFC St. Pauli
24-2625yo0.67×
500K-33% above median
Lasse Rieß1.FSV Mainz 05
24-2624yo0.53×
400K-47% above median
Daniil KhudyakovSK Sturm Graz
21-2321yo0.40×
800K-60% above median
Tom Ritzy HülsmannTSV Hartberg
21-2321yo0.25×
500K-75% above median
Frank Feller1.FC Heidenheim 1846
21-2321yo0.25×
500K-75% above median
RankPlayerAgeBracketCurrent ValueBracket MedianPPVE
#1
Diant Ramaj
1.FC Heidenheim 1846
2424-267.0M750K9.33×
#2
Noah Atubolu
SC Freiburg
2321-2318.0M2.0M9.00×
#3
Jonas Urbig
Bayern Munich
2221-2312.0M2.0M6.00×
#4
Daniel Peretz
Hamburger SV
2524-263.0M750K4.00×
#5
Maarten Vandevoordt
RB Leipzig
2321-238.0M2.0M4.00×
#6
Karl Hein
SV Werder Bremen
2321-233.0M2.0M1.50×
#7
Kauã Santos
Eintracht Frankfurt
2221-232.5M2.0M1.25×
#8
Luca Philipp
TSG 1899 Hoffenheim
2524-26750K750K1.00×
#9
Mio Backhaus
SV Werder Bremen
2121-232.0M2.0M1.00×
#10
Tiago Pereira Cardoso
Borussia Mönchengladbach
19U211.5M1.5M1.00×
#11
Ben Voll
FC St. Pauli
2524-26500K750K0.67×
#12
Lasse Rieß
1.FSV Mainz 05
2424-26400K750K0.53×
#13
Daniil Khudyakov
SK Sturm Graz
2121-23800K2.0M0.40×
#14
Tom Ritzy Hülsmann
TSV Hartberg
2121-23500K2.0M0.25×
#15
Frank Feller
1.FC Heidenheim 1846
2121-23500K2.0M0.25×
#16
Matteo Bignetti
SK Sturm Graz
2121-23400K2.0M0.20×
#17
Daniel Klein
FC Augsburg
2424-26150K750K0.20×
#18
Lúkas Petersson
TSG 1899 Hoffenheim
2121-23250K2.0M0.13×
#19
Silas Ostrzinski
Borussia Dortmund
2221-23200K2.0M0.10×

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 19 years old has the highest Return-to-Peak Potential at +52%. That means Tiago Pereira Cardoso is projected to appreciate 52% as they reach their peak age in 7 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 Daniil Khudyakov of SK Sturm Graz, who is 21 years old with a +44% RPP (5 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 52% RPP means the player is expected to gain 52% value as they enter their prime—making them excellent growth investments.

Recovery Potential by Player

Tiago Pereira CardosoBorussia Mönchengladbach
7yr to peak+52%
1.5M3.1M
Matteo BignettiSK Sturm Graz
5yr to peak+44%
400K715K
Daniil KhudyakovSK Sturm Graz
5yr to peak+44%
800K1.4M
Mio BackhausSV Werder Bremen
5yr to peak+44%
2.0M3.6M
Tom Ritzy HülsmannTSV Hartberg
5yr to peak+44%
500K894K
Lúkas PeterssonTSG 1899 Hoffenheim
5yr to peak+44%
250K447K
Frank Feller1.FC Heidenheim 1846
5yr to peak+44%
500K894K
Silas OstrzinskiBorussia Dortmund
4yr to peak+40%
200K332K
Jonas UrbigBayern Munich
4yr to peak+40%
12.0M19.9M
Kauã SantosEintracht Frankfurt
4yr to peak+40%
2.5M4.2M
Karl HeinSV Werder Bremen
3yr to peak+35%
3.0M4.6M
Maarten VandevoordtRB Leipzig
3yr to peak+35%
8.0M12.4M
Noah AtuboluSC Freiburg
3yr to peak+35%
18.0M27.8M
Daniel KleinFC Augsburg
2yr to peak+30%
150K216K
Diant Ramaj1.FC Heidenheim 1846
2yr to peak+30%
7.0M10.1M
RankPlayerAgeYears to PeakCurrentPeak ForecastRPP %
#1
Tiago Pereira Cardoso
Borussia Mönchengladbach
1971.5M3.1M+52%
#2
Matteo Bignetti
SK Sturm Graz
215400K715K+44%
#3
Daniil Khudyakov
SK Sturm Graz
215800K1.4M+44%
#4
Mio Backhaus
SV Werder Bremen
2152.0M3.6M+44%
#5
Tom Ritzy Hülsmann
TSV Hartberg
215500K894K+44%
#6
Lúkas Petersson
TSG 1899 Hoffenheim
215250K447K+44%
#7
Frank Feller
1.FC Heidenheim 1846
215500K894K+44%
#8
Silas Ostrzinski
Borussia Dortmund
224200K332K+40%
#9
Jonas Urbig
Bayern Munich
22412.0M19.9M+40%
#10
Kauã Santos
Eintracht Frankfurt
2242.5M4.2M+40%
#11
Karl Hein
SV Werder Bremen
2333.0M4.6M+35%
#12
Maarten Vandevoordt
RB Leipzig
2338.0M12.4M+35%
#13
Noah Atubolu
SC Freiburg
23318.0M27.8M+35%
#14
Daniel Klein
FC Augsburg
242150K216K+30%
#15
Diant Ramaj
1.FC Heidenheim 1846
2427.0M10.1M+30%
#16
Lasse Rieß
1.FSV Mainz 05
242400K575K+30%
#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 154.3. That means Tiago Pereira Cardoso has 40% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.

In second is SV Werder Bremen's Mio Backhaus with a 103.3 RAU (23% upside, 0% uncertainty). Third is Tom Ritzy Hülsmann of TSV Hartberg with a 103.3 RAU (23% upside, 0% uncertainty).

How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 154.3 means the upside is 154.3× 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
40% / ±0%154.3
Range: 1.9M - 2.3M
Mio BackhausSV Werder Bremen
23% / ±0%103.3
Range: 2.2M - 2.7M
Tom Ritzy HülsmannTSV Hartberg
23% / ±0%103.3
Range: 561K - 674K
Lúkas PeterssonTSG 1899 Hoffenheim
23% / ±0%103.3
Range: 280K - 337K
Frank Feller1.FC Heidenheim 1846
23% / ±0%103.3
Range: 561K - 674K
Matteo BignettiSK Sturm Graz
23% / ±0%103.3
Range: 448K - 539K
Daniil KhudyakovSK Sturm Graz
23% / ±0%103.3
Range: 897K - 1.1M
Silas OstrzinskiBorussia Dortmund
19% / ±0%100.1
Range: 219K - 257K
Kauã SantosEintracht Frankfurt
19% / ±0%100.1
Range: 2.7M - 3.2M
Jonas UrbigBayern Munich
19% / ±0%100.1
Range: 13.1M - 15.4M
Maarten VandevoordtRB Leipzig
15% / ±0%79.9
Range: 8.4M - 9.9M
Noah AtuboluSC Freiburg
15% / ±0%79.9
Range: 19.0M - 22.3M
Karl HeinSV Werder Bremen
15% / ±0%79.9
Range: 3.2M - 3.7M
Diant Ramaj1.FC Heidenheim 1846
10% / ±0%58.1
Range: 7.1M - 8.3M
Daniel KleinFC Augsburg
10% / ±0%58.1
Range: 152K - 179K
RankPlayerExpectedRangeUpside %RAU
#1
Tiago Pereira Cardoso
Borussia Mönchengladbach
2.1M1.9M-2.3M+40%154.3
#2
Mio Backhaus
SV Werder Bremen
2.5M2.2M-2.7M+23%103.3
#3
Tom Ritzy Hülsmann
TSV Hartberg
617K561K-674K+23%103.3
#4
Lúkas Petersson
TSG 1899 Hoffenheim
309K280K-337K+23%103.3
#5
Frank Feller
1.FC Heidenheim 1846
617K561K-674K+23%103.3
#6
Matteo Bignetti
SK Sturm Graz
494K448K-539K+23%103.3
#7
Daniil Khudyakov
SK Sturm Graz
988K897K-1.1M+23%103.3
#8
Silas Ostrzinski
Borussia Dortmund
238K219K-257K+19%100.1
#9
Kauã Santos
Eintracht Frankfurt
3.0M2.7M-3.2M+19%100.1
#10
Jonas Urbig
Bayern Munich
14.3M13.1M-15.4M+19%100.1
#11
Maarten Vandevoordt
RB Leipzig
9.2M8.4M-9.9M+15%79.9
#12
Noah Atubolu
SC Freiburg
20.6M19.0M-22.3M+15%79.9
#13
Karl Hein
SV Werder Bremen
3.4M3.2M-3.7M+15%79.9
#14
Diant Ramaj
1.FC Heidenheim 1846
7.7M7.1M-8.3M+10%58.1
#15
Daniel Klein
FC Augsburg
165K152K-179K+10%58.1
#16
Lasse Rieß
1.FSV Mainz 05
441K406K-476K+10%58.1
#17
Nediljko Labrovic
FC Augsburg
2.7M2.5M-2.9M+7%41.2
#18
Stefan Drljaca
VfB Stuttgart
348K320K-376K+7%41.2
#19
Kamil Grabara
VfL Wolfsburg
15.0M13.8M-16.2M+7%41.2
#20
Oliver Christensen
SK Sturm Graz
1.6M1.5M-1.7M+7%41.2

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: 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)

1.FC Union Berlin's Frederik Rönnow in the 30+ age bracket has the highest Age-Share Concentration at +-27.8%. That means Mark Flekken captures 25.4% of total market value while representing only 53.2% of players in their age group—showing dominant elite status.

In second is SCR Altach's Dejan Stojanovic with a +-27.8% ASC (25.4% value share vs 53.2% player share in 30+ bracket). Third is Marius Müller of VfL Wolfsburg with a +-27.8% ASC (25.4% value vs 53.2% players in 30+ bracket).

How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-27.8% ASC means the player captures -27.8% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.

Value Concentration by Player

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
Robin Zentner1.FSV Mainz 05
30+-27.8%
25.4% value share / 53.2% player share
Leopold ZingerleRB Leipzig
30+-27.8%
25.4% value share / 53.2% player share
Carl Klaus1.FC Union Berlin
30+-27.8%
25.4% value share / 53.2% player share
Manuel NeuerBayern Munich
30+-27.8%
25.4% value share / 53.2% player share
Fabian BredlowVfB Stuttgart
30+-27.8%
25.4% value share / 53.2% player share
Michael ZettererEintracht Frankfurt
30+-27.8%
25.4% value share / 53.2% player share
Ron-Robert Zieler1.FC Köln
30+-27.8%
25.4% value share / 53.2% player share
Jonas OmlinBorussia Mönchengladbach
30+-27.8%
25.4% value share / 53.2% player share
RankPlayerAge BracketValue SharePlayer ShareASC
#1
Frederik Rönnow
1.FC Union Berlin
30+25.4%53.2%-27.8%
#2
Dejan Stojanovic
SCR Altach
30+25.4%53.2%-27.8%
#3
Marius Müller
VfL Wolfsburg
30+25.4%53.2%-27.8%
#4
Mark Flekken
Bayer 04 Leverkusen
30+25.4%53.2%-27.8%
#5
Eric Oelschlägel
Without Club
30+25.4%53.2%-27.8%
#6
Marvin Schwäbe
1.FC Köln
30+25.4%53.2%-27.8%
#7
Jannik Huth
SC Freiburg
30+25.4%53.2%-27.8%
#8
Robin Zentner
1.FSV Mainz 05
30+25.4%53.2%-27.8%
#9
Leopold Zingerle
RB Leipzig
30+25.4%53.2%-27.8%
#10
Carl Klaus
1.FC Union Berlin
30+25.4%53.2%-27.8%
#11
Manuel Neuer
Bayern Munich
30+25.4%53.2%-27.8%
#12
Fabian Bredlow
VfB Stuttgart
30+25.4%53.2%-27.8%
#13
Michael Zetterer
Eintracht Frankfurt
30+25.4%53.2%-27.8%
#14
Ron-Robert Zieler
1.FC Köln
30+25.4%53.2%-27.8%
#15
Jonas Omlin
Borussia Mönchengladbach
30+25.4%53.2%-27.8%
#16
Nikola Vasilj
FC St. Pauli
30+25.4%53.2%-27.8%
#17
Tobias Sippel
Borussia Mönchengladbach
30+25.4%53.2%-27.8%
#18
Sascha Burchert
FC St. Pauli
30+25.4%53.2%-27.8%
#19
Jens Grahl
Eintracht Frankfurt
30+25.4%53.2%-27.8%
#20
Sven Ulreich
Bayern Munich
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: 10 immediate targets, 9 standard acquisitions, 0 watch-list prospects, 9 at peak.

BUY NOW - High Upside

Jonas Urbig
22yo • Bayern Munich
12.0M
Kauã Santos
22yo • Eintracht Frankfurt
2.5M
Mio Backhaus
21yo • SV Werder Bremen
2.0M
Tiago Pereira Cardoso
19yo • Borussia Mönchengladbach
1.5M
Daniil Khudyakov
21yo • SK Sturm Graz
800K
Frank Feller
21yo • 1.FC Heidenheim 1846
500K
Tom Ritzy Hülsmann
21yo • TSV Hartberg
500K
Matteo Bignetti
21yo • SK Sturm Graz
400K
Lúkas Petersson
21yo • 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
23yo • RB Leipzig
8.0M
Diant Ramaj
24yo • 1.FC Heidenheim 1846
7.0M
Daniel Peretz
25yo • Hamburger SV
3.0M
Karl Hein
23yo • SV Werder Bremen
3.0M
Luca Philipp
25yo • TSG 1899 Hoffenheim
750K
Ben Voll
25yo • FC St. Pauli
500K
Lasse Rieß
24yo • 1.FSV Mainz 05
400K
Daniel Klein
24yo • FC Augsburg
150K

PEAK Players

Gregor Kobel
28yo • Borussia Dortmund
40.0M
Kamil Grabara
26yo • VfL Wolfsburg
14.0M
Finn Dahmen
27yo • FC Augsburg
9.0M
Moritz Nicolas
28yo • Borussia Mönchengladbach
5.0M
Nediljko Labrovic
26yo • FC Augsburg
2.5M
Oliver Christensen
26yo • 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 400K. 0 undervalued, 5 premium.

Value Positioning vs Peers

Fabian EhmannGrazer AK 1902
175K-1.00
Fair value
Diant Ramaj1.FC Heidenheim 1846
7.0M-1.00
Fair value
Maarten VandevoordtRB Leipzig
8.0M-1.00
Fair value
Moritz NicolasBorussia Mönchengladbach
5.0M-0.57
Fair value
Sascha BurchertFC St. Pauli
200K-0.29
Fair value
Jens GrahlEintracht Frankfurt
200K-0.29
Fair value
Daniel KleinFC Augsburg
150K-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
Carl Klaus1.FC Union Berlin
350K-0.21
Fair value
PlayerMarket ValuePosition MedianZ-ScoreAssessment
Fabian Ehmann
Grazer AK 1902
175K800K-1.00Good Value
Diant Ramaj
1.FC Heidenheim 1846
7.0M800K-1.00Good Value
Maarten Vandevoordt
RB Leipzig
8.0M800K-1.00Good Value
Moritz Nicolas
Borussia Mönchengladbach
5.0M800K-0.57Good Value
Sascha Burchert
FC St. Pauli
200K800K-0.29Fair Value
Jens Grahl
Eintracht Frankfurt
200K800K-0.29Fair Value
Daniel Klein
FC Augsburg
150K800K-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
Carl Klaus
1.FC Union Berlin
350K800K-0.21Fair Value
Stefan Drljaca
VfB Stuttgart
325K800K-0.20Fair 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
Lasse Rieß
1.FSV Mainz 05
400K800K-0.17Fair Value