Best U23 Young Strikers in the Bundesliga
25 players aged 23 or under · ranked by Analytical Strength Score
Best Young Strikers in the Bundesliga (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Young Strikers 2022-23
Our database tracked 25 Bundesliga Young Strikers in the 2022-23 season, representing 16 clubs with a combined market value of €185.4M. The average market value for Bundesliga Young Strikers was €7.4M, with the average age at 22.1 years old.
The most valuable young striker in the Bundesliga was Maximilian Beier, worth €25.0M and played for Borussia Dortmund at 23 years old. The top 5 Young Strikers averaged €21.8M in market value, including Elye Wahi and Conrad Harder.
Age distribution showed the youngest tracked young striker was Max Moerstedt (20 years, TSG 1899 Hoffenheim, €7.0M), while the oldest was Maximilian Beier (23 years, Borussia Dortmund, €25.0M). Research shows Young Strikers typically peak at age 26.
Historical analysis showed 25 Young Strikers (100%) 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 Young Strikers 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.
Explore Market Size by Position in Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Young Strikers. Identify undervalued assets and track market momentum across 16 clubs with €185.4M combined value.
Age Distribution: Bundesliga Young Strikers
The Bundesliga ST market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (22 players, 88% of market). The 21-23 age group holds the most value at €172.6M, averaging €7.8M per player.
Top Young Strikers by Age Bracket
U21 Years (3 players)
21-23 Years (22 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Young Strikers (12% of players) control €71.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 20% of the Bundesliga ST pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Bundesliga Young Strikers
Among 16 Bundesliga clubs, Borussia Dortmund leads with 2 Young Strikers worth €45.0M (averaging €22.5M per player). The top 10 clubs account for 76% of tracked Young Strikers.
Borussia Dortmund (2 Young Strikers)
TSG 1899 Hoffenheim (4 Young Strikers)
RB Leipzig (1 Young Strikers)
1.FSV Mainz 05 (4 Young Strikers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Maximilian Beier
Borussia Dortmund • 23 years old
€21.6M
€25.0M
+15.6%
Expected: €26.8M
76.8
Elye Wahi
Eintracht Frankfurt • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Conrad Harder
RB Leipzig • 21 years old
€20.8M
€24.0M
+15.6%
Expected: €26.5M
75.1
Fábio Silva
Borussia Dortmund • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.0
Adam Hlozek
TSG 1899 Hoffenheim • 23 years old
€15.6M
€18.0M
+15.6%
Expected: €19.3M
72.7
Tiago Tomás
VfB Stuttgart • 23 years old
€10.4M
€12.0M
+15.6%
Expected: €12.8M
67.7
Nelson Weiper
1.FSV Mainz 05 • 21 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
60.6
William Bøving
1.FSV Mainz 05 • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €8.6M
59.0
Fisnik Asllani
TSG 1899 Hoffenheim • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €8.6M
59.0
Max Moerstedt
TSG 1899 Hoffenheim • 20 years old
€6.1M
€7.0M
+15.6%
Expected: €8.0M
55.5
Igor Matanovic
SC Freiburg • 23 years old
€4.3M
€5.0M
+15.6%
Expected: €5.4M
53.2
Adam Daghim
VfL Wolfsburg • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.3
Keke Topp
SV Werder Bremen • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.8
Dzenan Pejcinovic
VfL Wolfsburg • 21 years old
€3.5M
€4.0M
+15.6%
Expected: €4.4M
49.2
Armindo Sieb
1.FSV Mainz 05 • 23 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
43.2
Andréas Hountondji
FC St. Pauli • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.7M
40.9
Janis Antiste
Rapid Vienna • 23 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
37.9
Ben Bobzien
1.FSV Mainz 05 • 22 years old
€1.0M
€1.2M
+15.6%
Expected: €1.3M
31.2
Tio Cipot
Grazer AK 1902 • 23 years old
€865K
€1.0M
+15.6%
Expected: €1.1M
29.2
David Mokwa
TSG 1899 Hoffenheim • 21 years old
€865K
€1.0M
+15.6%
Expected: €1.1M
28.3
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)
Borussia Dortmund's Maximilian Beier at 23 years old has the highest Pre-Peak Value Efficiency at 6.25×. That means Maximilian Beier is valued 6.25× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is RB Leipzig's Conrad Harder, who is 21 years old, with a 6.00× PPVE. Third is Elye Wahi of Eintracht Frankfurt, who is 23 years old with a 5.50× 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 6.25× means the player is worth 525% 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 | Maximilian Beier Borussia Dortmund | 23 | 21-23 | €25.0M | €4.0M | 6.25× |
| #2 | Conrad Harder RB Leipzig | 21 | 21-23 | €24.0M | €4.0M | 6.00× |
| #3 | Elye Wahi Eintracht Frankfurt | 23 | 21-23 | €22.0M | €4.0M | 5.50× |
| #4 | Fábio Silva Borussia Dortmund | 23 | 21-23 | €20.0M | €4.0M | 5.00× |
| #5 | Adam Hlozek TSG 1899 Hoffenheim | 23 | 21-23 | €18.0M | €4.0M | 4.50× |
| #6 | Tiago Tomás VfB Stuttgart | 23 | 21-23 | €12.0M | €4.0M | 3.00× |
| #7 | Nelson Weiper 1.FSV Mainz 05 | 21 | 21-23 | €10.0M | €4.0M | 2.50× |
| #8 | Fisnik Asllani TSG 1899 Hoffenheim | 23 | 21-23 | €8.0M | €4.0M | 2.00× |
| #9 | William Bøving 1.FSV Mainz 05 | 23 | 21-23 | €8.0M | €4.0M | 2.00× |
| #10 | Max Moerstedt TSG 1899 Hoffenheim | 20 | U21 | €7.0M | €5.0M | 1.40× |
| #11 | Igor Matanovic SC Freiburg | 23 | 21-23 | €5.0M | €4.0M | 1.25× |
| #12 | Keke Topp SV Werder Bremen | 22 | 21-23 | €4.0M | €4.0M | 1.00× |
| #13 | Dzenan Pejcinovic VfL Wolfsburg | 21 | 21-23 | €4.0M | €4.0M | 1.00× |
| #14 | Adam Daghim VfL Wolfsburg | 20 | U21 | €5.0M | €5.0M | 1.00× |
| #15 | Armindo Sieb 1.FSV Mainz 05 | 23 | 21-23 | €3.0M | €4.0M | 0.75× |
| #16 | Andréas Hountondji FC St. Pauli | 23 | 21-23 | €2.5M | €4.0M | 0.63× |
| #17 | Janis Antiste Rapid Vienna | 23 | 21-23 | €2.0M | €4.0M | 0.50× |
| #18 | Ben Bobzien 1.FSV Mainz 05 | 22 | 21-23 | €1.2M | €4.0M | 0.30× |
| #19 | Tio Cipot Grazer AK 1902 | 23 | 21-23 | €1.0M | €4.0M | 0.25× |
| #20 | David Mokwa TSG 1899 Hoffenheim | 21 | 21-23 | €1.0M | €4.0M | 0.25× |
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)
VfL Wolfsburg's Adam Daghim at 20 years old has the highest Return-to-Peak Potential at +35%. That means Max Moerstedt is projected to appreciate 35% as they reach their peak age in 6 years—representing significant upside before entering their prime.
In second is TSG 1899 Hoffenheim's Max Moerstedt, who is 20 years old, with a +35% RPP (6 years to peak). Third is Alejo Sarco of Bayer 04 Leverkusen, who is 20 years old with a +35% RPP (6 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 35% RPP means the player is expected to gain 35% value as they enter their prime—making them excellent growth investments.
Recovery Potential by Player
| Rank | Player | Age | Years to Peak | Current | Peak Forecast | RPP % |
|---|---|---|---|---|---|---|
| #1 | Adam Daghim VfL Wolfsburg | 20 | 6 | €5.0M | €7.7M | +35% |
| #2 | Max Moerstedt TSG 1899 Hoffenheim | 20 | 6 | €7.0M | €10.8M | +35% |
| #3 | Alejo Sarco Bayer 04 Leverkusen | 20 | 6 | €800K | €1.2M | +35% |
| #4 | Dzenan Pejcinovic VfL Wolfsburg | 21 | 5 | €4.0M | €5.7M | +30% |
| #5 | David Mokwa TSG 1899 Hoffenheim | 21 | 5 | €1.0M | €1.4M | +30% |
| #6 | Nelson Weiper 1.FSV Mainz 05 | 21 | 5 | €10.0M | €14.4M | +30% |
| #7 | Conrad Harder RB Leipzig | 21 | 5 | €24.0M | €34.5M | +30% |
| #8 | Abdoulie Ceesay FC St. Pauli | 22 | 4 | €500K | €668K | +25% |
| #9 | Grant-Leon Ranos Borussia Mönchengladbach | 22 | 4 | €500K | €668K | +25% |
| #10 | Ben Bobzien 1.FSV Mainz 05 | 22 | 4 | €1.2M | €1.6M | +25% |
| #11 | Keke Topp SV Werder Bremen | 22 | 4 | €4.0M | €5.3M | +25% |
| #12 | Ademola Ola-Adebomi WSG Tirol | 22 | 4 | €300K | €401K | +25% |
| #13 | Armindo Sieb 1.FSV Mainz 05 | 23 | 3 | €3.0M | €3.7M | +20% |
| #14 | Tiago Tomás VfB Stuttgart | 23 | 3 | €12.0M | €14.9M | +20% |
| #15 | Kingstone Mutandwa SV Ried | 23 | 3 | €600K | €746K | +20% |
| #16 | Fábio Silva Borussia Dortmund | 23 | 3 | €20.0M | €24.9M | +20% |
| #17 | Maximilian Beier Borussia Dortmund | 23 | 3 | €25.0M | €31.1M | +20% |
| #18 | Igor Matanovic SC Freiburg | 23 | 3 | €5.0M | €6.2M | +20% |
| #19 | Andréas Hountondji FC St. Pauli | 23 | 3 | €2.5M | €3.1M | +20% |
| #20 | Fisnik Asllani TSG 1899 Hoffenheim | 23 | 3 | €8.0M | €9.9M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Bayer 04 Leverkusen's Alejo Sarco has the highest Risk-Adjusted Upside at 46.3. That means Alejo Sarco has 15% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is VfL Wolfsburg's Adam Daghim with a 46.3 RAU (15% upside, 0% uncertainty). Third is Max Moerstedt of TSG 1899 Hoffenheim with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 46.3 means the upside is 46.3× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Alejo Sarco Bayer 04 Leverkusen | €917K | €791K-1.0M | +15% | 46.3 |
| #2 | Adam Daghim VfL Wolfsburg | €5.7M | €4.9M-6.5M | +15% | 46.3 |
| #3 | Max Moerstedt TSG 1899 Hoffenheim | €8.0M | €6.9M-9.1M | +15% | 46.3 |
| #4 | Nelson Weiper 1.FSV Mainz 05 | €11.0M | €9.5M-12.5M | +10% | 33.7 |
| #5 | Conrad Harder RB Leipzig | €26.5M | €22.8M-30.1M | +10% | 33.7 |
| #6 | Dzenan Pejcinovic VfL Wolfsburg | €4.4M | €3.8M-5.0M | +10% | 33.7 |
| #7 | David Mokwa TSG 1899 Hoffenheim | €1.1M | €950K-1.3M | +10% | 33.7 |
| #8 | Fisnik Asllani TSG 1899 Hoffenheim | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #9 | Janis Antiste Rapid Vienna | €2.1M | €1.9M-2.4M | +7% | 27.5 |
| #10 | William Bøving 1.FSV Mainz 05 | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #11 | Tio Cipot Grazer AK 1902 | €1.1M | €942K-1.2M | +7% | 27.5 |
| #12 | Kingstone Mutandwa SV Ried | €642K | €565K-719K | +7% | 27.5 |
| #13 | Fábio Silva Borussia Dortmund | €21.4M | €18.8M-24.0M | +7% | 27.5 |
| #14 | Igor Matanovic SC Freiburg | €5.4M | €4.7M-6.0M | +7% | 27.5 |
| #15 | Andréas Hountondji FC St. Pauli | €2.7M | €2.4M-3.0M | +7% | 27.5 |
| #16 | Adam Hlozek TSG 1899 Hoffenheim | €19.3M | €17.0M-21.6M | +7% | 27.5 |
| #17 | Elye Wahi Eintracht Frankfurt | €23.6M | €20.7M-26.4M | +7% | 27.5 |
| #18 | Maximilian Beier Borussia Dortmund | €26.8M | €23.6M-30.0M | +7% | 27.5 |
| #19 | Armindo Sieb 1.FSV Mainz 05 | €3.2M | €2.8M-3.6M | +7% | 27.5 |
| #20 | Tiago Tomás VfB Stuttgart | €12.8M | €11.3M-14.4M | +7% | 27.5 |
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: young striker position shows weak 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)
Bayer 04 Leverkusen's Alejo Sarco in the U21 age bracket has the highest Age-Share Concentration at +-5.1%. That means Max Moerstedt captures 6.9% of total market value while representing only 12.0% of players in their age group—showing dominant elite status.
In second is VfL Wolfsburg's Adam Daghim with a +-5.1% ASC (6.9% value share vs 12.0% player share in U21 bracket). Third is Max Moerstedt of TSG 1899 Hoffenheim with a +-5.1% ASC (6.9% value vs 12.0% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-5.1% ASC means the player captures -5.1% 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 | Alejo Sarco Bayer 04 Leverkusen | U21 | 6.9% | 12.0% | -5.1% |
| #2 | Adam Daghim VfL Wolfsburg | U21 | 6.9% | 12.0% | -5.1% |
| #3 | Max Moerstedt TSG 1899 Hoffenheim | U21 | 6.9% | 12.0% | -5.1% |
| #4 | Kingstone Mutandwa SV Ried | 21-23 | 93.1% | 88.0% | +5.1% |
| #5 | Abdoulie Ceesay FC St. Pauli | 21-23 | 93.1% | 88.0% | +5.1% |
| #6 | Fábio Silva Borussia Dortmund | 21-23 | 93.1% | 88.0% | +5.1% |
| #7 | Fisnik Asllani TSG 1899 Hoffenheim | 21-23 | 93.1% | 88.0% | +5.1% |
| #8 | Janis Antiste Rapid Vienna | 21-23 | 93.1% | 88.0% | +5.1% |
| #9 | Adam Hlozek TSG 1899 Hoffenheim | 21-23 | 93.1% | 88.0% | +5.1% |
| #10 | Armindo Sieb 1.FSV Mainz 05 | 21-23 | 93.1% | 88.0% | +5.1% |
| #11 | Grant-Leon Ranos Borussia Mönchengladbach | 21-23 | 93.1% | 88.0% | +5.1% |
| #12 | Maximilian Beier Borussia Dortmund | 21-23 | 93.1% | 88.0% | +5.1% |
| #13 | Igor Matanovic SC Freiburg | 21-23 | 93.1% | 88.0% | +5.1% |
| #14 | William Bøving 1.FSV Mainz 05 | 21-23 | 93.1% | 88.0% | +5.1% |
| #15 | Tiago Tomás VfB Stuttgart | 21-23 | 93.1% | 88.0% | +5.1% |
| #16 | Ben Bobzien 1.FSV Mainz 05 | 21-23 | 93.1% | 88.0% | +5.1% |
| #17 | Elye Wahi Eintracht Frankfurt | 21-23 | 93.1% | 88.0% | +5.1% |
| #18 | Keke Topp SV Werder Bremen | 21-23 | 93.1% | 88.0% | +5.1% |
| #19 | Andréas Hountondji FC St. Pauli | 21-23 | 93.1% | 88.0% | +5.1% |
| #20 | Tio Cipot Grazer AK 1902 | 21-23 | 93.1% | 88.0% | +5.1% |
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: 0 immediate targets, 25 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
No players in this category
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
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 |
|---|---|---|---|---|
Igor Matanovic SC Freiburg | €5.0M | €4.0M | -1.50 | Good Value |
Adam Hlozek TSG 1899 Hoffenheim | €18.0M | €4.0M | -1.00 | Good Value |
Adam Daghim VfL Wolfsburg | €5.0M | €4.0M | -1.00 | Good Value |
Fábio Silva Borussia Dortmund | €20.0M | €4.0M | -0.50 | Fair Value |
Ademola Ola-Adebomi WSG Tirol | €300K | €4.0M | -0.38 | 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 |
Kingstone Mutandwa SV Ried | €600K | €4.0M | -0.25 | Fair Value |
Tio Cipot Grazer AK 1902 | €1.0M | €4.0M | -0.08 | Fair Value |
David Mokwa TSG 1899 Hoffenheim | €1.0M | €4.0M | -0.08 | Fair Value |
Alejo Sarco Bayer 04 Leverkusen | €800K | €4.0M | 0.00 | Fair Value |
Fisnik Asllani TSG 1899 Hoffenheim | €8.0M | €4.0M | 0.00 | Fair Value |
William Bøving 1.FSV Mainz 05 | €8.0M | €4.0M | 0.00 | Fair Value |
Ben Bobzien 1.FSV Mainz 05 | €1.2M | €4.0M | 0.00 | Fair Value |
Elye Wahi Eintracht Frankfurt | €22.0M | €4.0M | 0.00 | Fair Value |
Max Moerstedt TSG 1899 Hoffenheim | €7.0M | €4.0M | 0.00 | Fair Value |
Janis Antiste Rapid Vienna | €2.0M | €4.0M | +0.33 | Fair Value |
Conrad Harder RB Leipzig | €24.0M | €4.0M | +0.50 | Fair Value |
Andréas Hountondji FC St. Pauli | €2.5M | €4.0M | +0.54 | Above Market |
Armindo Sieb 1.FSV Mainz 05 | €3.0M | €4.0M | +0.75 | Above Market |
