Best Strikers in the Bundesliga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Strikers 2024-25
Our database tracked 77 Bundesliga Strikers in the 2024-25 season, representing 28 clubs with a combined market value of €682.4M. The average market value for Bundesliga Strikers was €8.9M, with the average age at 25.9 years old.
The most valuable striker in the Bundesliga was Harry Kane, worth €75.0M and played for Bayern Munich at 32 years old. The top 5 Strikers averaged €49.0M in market value, including Nicolas Jackson and Victor Boniface.
Age distribution showed the youngest tracked striker was Max Moerstedt (19 years, TSG 1899 Hoffenheim, €7.0M), while the oldest was Guido Burgstaller (36 years, Rapid Vienna, €250K). Research shows Strikers typically peak at age 26.
Historical analysis showed 46 Strikers (60%) 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 Strikers remained highly competitive with significant transfer activity 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.
Explore Market Size by Position in Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Strikers. Identify undervalued assets and track market momentum across 28 clubs with €682.4M combined value.
Age Distribution: Bundesliga Strikers
The Bundesliga ST market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (22 players, 29% of market). The 24-26 age group holds the most value at €212.8M, averaging €11.8M per player.
Top Strikers by Age Bracket
U21 Years (6 players)
21-23 Years (22 players)
24-26 Years (18 players)
27-29 Years (15 players)
Market Value Distribution
Elite Tier Concentration
The top 8 Strikers (10% of players) control €329.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Bundesliga ST pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Strikers
Among 28 Bundesliga clubs, Bayern Munich leads with 2 Strikers worth €125.0M (averaging €62.5M per player). The top 10 clubs account for 44% of tracked Strikers.
Bayern Munich (2 Strikers)
Borussia Dortmund (3 Strikers)
Eintracht Frankfurt (4 Strikers)
VfB Stuttgart (3 Strikers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Harry Kane
Bayern Munich • 32 years old
€75.0M
€75.0M
+0.0%
Expected: €74.1M
88.5
Nicolas Jackson
Bayern Munich • 24 years old
€43.2M
€50.0M
+15.6%
Expected: €57.8M
87.8
Victor Boniface
SV Werder Bremen • 24 years old
€34.6M
€40.0M
+15.6%
Expected: €46.2M
84.8
Serhou Guirassy
Borussia Dortmund • 29 years old
€45.0M
€45.0M
+0.0%
Expected: €44.4M
84.1
Jonathan Burkardt
Eintracht Frankfurt • 25 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
83.2
Mohamed Amoura
VfL Wolfsburg • 25 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
82.1
Maximilian Beier
Borussia Dortmund • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €29.0M
75.4
Patrik Schick
Bayer 04 Leverkusen • 29 years old
€27.0M
€27.0M
+0.0%
Expected: €25.6M
74.2
Ermedin Demirovic
VfB Stuttgart • 27 years old
€22.0M
€22.0M
+0.0%
Expected: €20.9M
73.1
Elye Wahi
Eintracht Frankfurt • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €26.6M
72.7
Fábio Silva
Borussia Dortmund • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €23.2M
72.6
Conrad Harder
RB Leipzig • 20 years old
€20.8M
€24.0M
+15.6%
Expected: €31.5M
71.6
Adam Hlozek
TSG 1899 Hoffenheim • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €20.9M
71.3
Deniz Undav
VfB Stuttgart • 29 years old
€20.0M
€20.0M
+0.0%
Expected: €19.0M
70.4
Tim Kleindienst
Borussia Mönchengladbach • 30 years old
€17.0M
€17.0M
+0.0%
Expected: €16.1M
67.7
Benedict Hollerbach
1.FSV Mainz 05 • 24 years old
€10.4M
€12.0M
+15.6%
Expected: €13.3M
66.3
Jonas Wind
VfL Wolfsburg • 26 years old
€10.4M
€12.0M
+15.6%
Expected: €12.4M
66.3
Tiago Tomás
VfB Stuttgart • 23 years old
€10.4M
€12.0M
+15.6%
Expected: €13.9M
66.3
Rômulo
RB Leipzig • 23 years old
€9.5M
€11.0M
+15.6%
Expected: €12.8M
65.2
Fisnik Asllani
TSG 1899 Hoffenheim • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €9.3M
57.6
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 Nicolas Jackson at 24 years old has the highest Pre-Peak Value Efficiency at 12.50×. That means Nicolas Jackson is valued 12.50× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is SV Werder Bremen's Victor Boniface, who is 24 years old, with a 10.00× PPVE. Third is Jonathan Burkardt of Eintracht Frankfurt, who is 25 years old with a 8.75× 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 12.50× means the player is worth 1150% more than typical players their age—making them high-value targets before they reach peak value.
PPVE by Age Bracket
| Rank | Player | Age | Bracket | Current Value | Bracket Median | PPVE |
|---|---|---|---|---|---|---|
| #1 | Nicolas Jackson Bayern Munich | 24 | 24-26 | €50.0M | €4.0M | 12.50× |
| #2 | Victor Boniface SV Werder Bremen | 24 | 24-26 | €40.0M | €4.0M | 10.00× |
| #3 | Jonathan Burkardt Eintracht Frankfurt | 25 | 24-26 | €35.0M | €4.0M | 8.75× |
| #4 | Mohamed Amoura VfL Wolfsburg | 25 | 24-26 | €32.0M | €4.0M | 8.00× |
| #5 | Maximilian Beier Borussia Dortmund | 23 | 21-23 | €25.0M | €4.0M | 6.25× |
| #6 | Elye Wahi Eintracht Frankfurt | 22 | 21-23 | €22.0M | €4.0M | 5.50× |
| #7 | Fábio Silva Borussia Dortmund | 23 | 21-23 | €20.0M | €4.0M | 5.00× |
| #8 | Adam Hlozek TSG 1899 Hoffenheim | 23 | 21-23 | €18.0M | €4.0M | 4.50× |
| #9 | Conrad Harder RB Leipzig | 20 | U21 | €24.0M | €7.0M | 3.43× |
| #10 | Benedict Hollerbach 1.FSV Mainz 05 | 24 | 24-26 | €12.0M | €4.0M | 3.00× |
| #11 | Tiago Tomás VfB Stuttgart | 23 | 21-23 | €12.0M | €4.0M | 3.00× |
| #12 | Rômulo RB Leipzig | 23 | 21-23 | €11.0M | €4.0M | 2.75× |
| #13 | Fisnik Asllani TSG 1899 Hoffenheim | 23 | 21-23 | €8.0M | €4.0M | 2.00× |
| #14 | William Bøving 1.FSV Mainz 05 | 22 | 21-23 | €8.0M | €4.0M | 2.00× |
| #15 | Yorbe Vertessen Red Bull Salzburg | 24 | 24-26 | €6.0M | €4.0M | 1.50× |
| #16 | Nelson Weiper 1.FSV Mainz 05 | 20 | U21 | €10.0M | €7.0M | 1.43× |
| #17 | Junior Adamu SC Freiburg | 24 | 24-26 | €5.0M | €4.0M | 1.25× |
| #18 | Tim Lemperle TSG 1899 Hoffenheim | 23 | 21-23 | €5.0M | €4.0M | 1.25× |
| #19 | Igor Matanovic SC Freiburg | 22 | 21-23 | €5.0M | €4.0M | 1.25× |
| #20 | Andrej Ilic 1.FC Union Berlin | 25 | 24-26 | €4.0M | €4.0M | 1.00× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
TSG 1899 Hoffenheim's Max Moerstedt has the highest Risk-Adjusted Upside at 96.4. That means Max Moerstedt has 36% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Bayer 04 Leverkusen's Alejo Sarco with a 96.4 RAU (36% upside, 0% uncertainty). Third is Nelson Weiper of 1.FSV Mainz 05 with a 86.2 RAU (31% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 96.4 means the upside is 96.4× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Max Moerstedt TSG 1899 Hoffenheim | €9.5M | €8.2M-10.9M | +36% | 96.4 |
| #2 | Alejo Sarco Bayer 04 Leverkusen | €1.1M | €940K-1.2M | +36% | 96.4 |
| #3 | Nelson Weiper 1.FSV Mainz 05 | €13.1M | €11.3M-14.9M | +31% | 86.2 |
| #4 | Adam Daghim VfL Wolfsburg | €6.6M | €5.7M-7.5M | +31% | 86.2 |
| #5 | Conrad Harder RB Leipzig | €31.5M | €27.1M-35.8M | +31% | 86.2 |
| #6 | Dzenan Pejcinovic VfL Wolfsburg | €5.2M | €4.5M-6.0M | +31% | 86.2 |
| #7 | Abdoulie Ceesay FC St. Pauli | €631K | €544K-718K | +26% | 75.2 |
| #8 | Keke Topp SV Werder Bremen | €5.0M | €4.4M-5.7M | +26% | 75.2 |
| #9 | David Mokwa TSG 1899 Hoffenheim | €1.3M | €1.1M-1.4M | +26% | 75.2 |
| #10 | Armindo Sieb 1.FSV Mainz 05 | €3.6M | €3.2M-4.1M | +21% | 72.7 |
| #11 | Elye Wahi Eintracht Frankfurt | €26.6M | €23.5M-29.8M | +21% | 72.7 |
| #12 | Igor Matanovic SC Freiburg | €6.1M | €5.3M-6.8M | +21% | 72.7 |
| #13 | Kingstone Mutandwa SV Ried | €727K | €640K-814K | +21% | 72.7 |
| #14 | Ben Bobzien 1.FSV Mainz 05 | €1.5M | €1.3M-1.6M | +21% | 72.7 |
| #15 | Ademola Ola-Adebomi WSG Tirol | €363K | €320K-407K | +21% | 72.7 |
| #16 | Grant-Leon Ranos Borussia Mönchengladbach | €606K | €533K-678K | +21% | 72.7 |
| #17 | William Bøving 1.FSV Mainz 05 | €9.7M | €8.5M-10.9M | +21% | 72.7 |
| #18 | Tio Cipot Grazer AK 1902 | €1.2M | €1.1M-1.4M | +21% | 72.7 |
| #19 | Adam Hlozek TSG 1899 Hoffenheim | €20.9M | €18.4M-23.4M | +16% | 57.7 |
| #20 | Fábio Silva Borussia Dortmund | €23.2M | €20.4M-26.0M | +16% | 57.7 |
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: striker position shows strong depth (avg Z-score: 0.00). RPI: 0.00.
Position Depth Analysis
Highest Z-Scores
Lowest Z-Scores
Age-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Understanding Age-Share Concentration (ASC)
Eintracht Frankfurt's Jonathan Burkardt in the 24-26 age bracket has the highest Age-Share Concentration at +7.8%. That means Nicolas Jackson captures 31.2% of total market value while representing only 23.4% of players in their age group—showing dominant elite status.
In second is VfL Wolfsburg's Jonas Wind with a +7.8% ASC (31.2% value share vs 23.4% player share in 24-26 bracket). Third is Nikolai Baden Frederiksen of WSG Tirol with a +7.8% ASC (31.2% value vs 23.4% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +7.8% ASC means the player captures 7.8% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.
Value Concentration by Player
| Rank | Player | Age Bracket | Value Share | Player Share | ASC |
|---|---|---|---|---|---|
| #1 | Jonathan Burkardt Eintracht Frankfurt | 24-26 | 31.2% | 23.4% | +7.8% |
| #2 | Jonas Wind VfL Wolfsburg | 24-26 | 31.2% | 23.4% | +7.8% |
| #3 | Nikolai Baden Frederiksen WSG Tirol | 24-26 | 31.2% | 23.4% | +7.8% |
| #4 | Maurice Malone SK Sturm Graz | 24-26 | 31.2% | 23.4% | +7.8% |
| #5 | Yorbe Vertessen Red Bull Salzburg | 24-26 | 31.2% | 23.4% | +7.8% |
| #6 | Jessic Ngankam Eintracht Frankfurt | 24-26 | 31.2% | 23.4% | +7.8% |
| #7 | Junior Adamu SC Freiburg | 24-26 | 31.2% | 23.4% | +7.8% |
| #8 | Benedict Hollerbach 1.FSV Mainz 05 | 24-26 | 31.2% | 23.4% | +7.8% |
| #9 | Marvin Pieringer 1.FC Heidenheim 1846 | 24-26 | 31.2% | 23.4% | +7.8% |
| #10 | Marlon Mustapha SCR Altach | 24-26 | 31.2% | 23.4% | +7.8% |
| #11 | Mikkel Kaufmann 1.FC Heidenheim 1846 | 24-26 | 31.2% | 23.4% | +7.8% |
| #12 | Shuto Machino Borussia Mönchengladbach | 24-26 | 31.2% | 23.4% | +7.8% |
| #13 | Andrej Ilic 1.FC Union Berlin | 24-26 | 31.2% | 23.4% | +7.8% |
| #14 | Kelvin Boateng Austria Vienna | 24-26 | 31.2% | 23.4% | +7.8% |
| #15 | Victor Boniface SV Werder Bremen | 24-26 | 31.2% | 23.4% | +7.8% |
| #16 | Bryan Teixeira LASK | 24-26 | 31.2% | 23.4% | +7.8% |
| #17 | Mohamed Amoura VfL Wolfsburg | 24-26 | 31.2% | 23.4% | +7.8% |
| #18 | Nicolas Jackson Bayern Munich | 24-26 | 31.2% | 23.4% | +7.8% |
| #19 | Kingstone Mutandwa SV Ried | 21-23 | 22.7% | 28.6% | -5.9% |
| #20 | Abdoulie Ceesay FC St. Pauli | 21-23 | 22.7% | 28.6% | -5.9% |
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: 30 immediate targets, 13 standard acquisitions, 0 watch-list prospects, 11 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
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 €1.0M. 0 undervalued, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Alejo Sarco Bayer 04 Leverkusen | €800K | €4.0M | -1.00 | Good Value |
Phillip Tietz FC Augsburg | €5.0M | €4.0M | -1.00 | Good Value |
Adam Hlozek TSG 1899 Hoffenheim | €18.0M | €4.0M | -0.80 | Good Value |
Ercan Kara Rapid Vienna | €800K | €4.0M | -0.71 | Good Value |
Shon Weissman FC Blau-Weiss Linz | €1.0M | €4.0M | -0.59 | Good Value |
Tim Lemperle TSG 1899 Hoffenheim | €5.0M | €4.0M | -0.50 | Fair Value |
Igor Matanovic SC Freiburg | €5.0M | €4.0M | -0.50 | Fair Value |
Nikolai Baden Frederiksen WSG Tirol | €300K | €4.0M | -0.44 | Fair Value |
Fábio Silva Borussia Dortmund | €20.0M | €4.0M | -0.40 | Fair Value |
Adam Daghim VfL Wolfsburg | €5.0M | €4.0M | -0.40 | Fair Value |
Mohamed Amoura VfL Wolfsburg | €32.0M | €4.0M | -0.38 | Fair Value |
Ademola Ola-Adebomi WSG Tirol | €300K | €4.0M | -0.38 | Fair Value |
Kelvin Boateng Austria Vienna | €400K | €4.0M | -0.37 | Fair Value |
Lukas Hinterseer WSG Tirol | €150K | €4.0M | -0.30 | Fair Value |
Abdoulie Ceesay FC St. Pauli | €500K | €4.0M | -0.29 | Fair Value |
Grant-Leon Ranos Borussia Mönchengladbach | €500K | €4.0M | -0.29 | Fair Value |
Deniz Undav VfB Stuttgart | €20.0M | €4.0M | -0.29 | Fair Value |
Kingstone Mutandwa SV Ried | €600K | €4.0M | -0.25 | Fair Value |
Guido Burgstaller Rapid Vienna | €250K | €4.0M | -0.25 | Fair Value |
Marlon Mustapha SCR Altach | €600K | €4.0M | -0.25 | Fair Value |