Best U23 Young Strikers in the Süper Lig
8 players aged 23 or under · ranked by Analytical Strength Index
Best Young Strikers in the Süper Lig (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Süper Lig Young Strikers 2024-25
Our database tracked 8 Süper Lig Young Strikers in the 2024-25 season, representing 7 clubs with a combined market value of €53.3M. The average market value for Süper Lig Young Strikers was €6.7M, with the average age at 21 years old.
The most valuable young striker in the Süper Lig was Jhon Durán, worth €32.0M and played for Fenerbahce at 22 years old. The top 5 Young Strikers averaged €10.4M in market value, including Sidiki Chérif and Felipe Augusto.
Age distribution showed the youngest tracked young striker was Sidiki Chérif (19 years, Fenerbahce, €7.0M), while the oldest was Bertuğ Yıldırım (23 years, Basaksehir FK, €2.2M). Research shows Young Strikers typically peak at age 26.
Historical analysis showed 8 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 Süper Lig market for Young Strikers 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.
Explore Market Size by Position in Süper Lig
Interactive bubble chart showing predicted 2-year growth vs current age for all Süper Lig Young Strikers. Identify undervalued assets and track market momentum across 7 clubs with €53.3M combined value.
Age Distribution: Süper Lig Young Strikers
The Süper Lig ST market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (6 players, 75% of market). The 21-23 age group holds the most value at €41.3M, averaging €6.9M per player.
Top Young Strikers by Age Bracket
U21 Years (2 players)
21-23 Years (6 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Strikers (13% of players) control €32.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 13% of the Süper Lig ST pool.
Premium (€30-50M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Süper Lig Young Strikers
Among 7 Süper Lig clubs, Fenerbahce leads with 2 Young Strikers worth €39.0M (averaging €19.5M per player). The top 10 clubs account for 100% of tracked Young Strikers.
Fenerbahce (2 Young Strikers)
Trabzonspor (1 Young Strikers)
Besiktas JK (1 Young Strikers)
Basaksehir FK (1 Young Strikers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Jhon Durán
Fenerbahce • 22 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
82.6
Sidiki Chérif
Fenerbahce • 19 years old
€6.1M
€7.0M
+15.6%
Expected: €8.3M
54.6
Felipe Augusto
Trabzonspor • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.5
Mustafa Hekimoğlu
Besiktas JK • 19 years old
€4.3M
€5.0M
+15.6%
Expected: €6.0M
50.4
Bertuğ Yıldırım
Basaksehir FK • 23 years old
€1.9M
€2.2M
+15.6%
Expected: €2.4M
39.1
Tiago Çukur
Fatih Karagümrük • 23 years old
€346K
€400K
+15.6%
Expected: €428K
17.8
Guilherme Luiz
Göztepe • 21 years old
€303K
€350K
+15.6%
Expected: €386K
15.0
Talha Sarıarslan
Kayserispor • 22 years old
€259K
€300K
+15.6%
Expected: €318K
13.6
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)
Fenerbahce's Jhon Durán at 22 years old has the highest Pre-Peak Value Efficiency at 14.55×. That means Jhon Durán is valued 14.55× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Trabzonspor's Felipe Augusto, who is 22 years old, with a 2.73× PPVE. Third is Bertuğ Yıldırım of Basaksehir FK, who is 23 years old with a 1.00× 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 14.55× means the player is worth 1355% 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 | Jhon Durán Fenerbahce | 22 | 21-23 | €32.0M | €2.2M | 14.55× |
| #2 | Felipe Augusto Trabzonspor | 22 | 21-23 | €6.0M | €2.2M | 2.73× |
| #3 | Bertuğ Yıldırım Basaksehir FK | 23 | 21-23 | €2.2M | €2.2M | 1.00× |
| #4 | Sidiki Chérif Fenerbahce | 19 | U21 | €7.0M | €7.0M | 1.00× |
| #5 | Mustafa Hekimoğlu Besiktas JK | 19 | U21 | €5.0M | €7.0M | 0.71× |
| #6 | Tiago Çukur Fatih Karagümrük | 23 | 21-23 | €400K | €2.2M | 0.18× |
| #7 | Guilherme Luiz Göztepe | 21 | 21-23 | €350K | €2.2M | 0.16× |
| #8 | Talha Sarıarslan Kayserispor | 22 | 21-23 | €300K | €2.2M | 0.14× |
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)
Fenerbahce's Sidiki Chérif at 19 years old has the highest Return-to-Peak Potential at +40%. That means Sidiki Chérif is projected to appreciate 40% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Besiktas JK's Mustafa Hekimoğlu, who is 19 years old, with a +40% RPP (7 years to peak). Third is Guilherme Luiz of Göztepe, who is 21 years old with a +30% 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 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
| Rank | Player | Age | Years to Peak | Current | Peak Forecast | RPP % |
|---|---|---|---|---|---|---|
| #1 | Sidiki Chérif Fenerbahce | 19 | 7 | €7.0M | €11.6M | +40% |
| #2 | Mustafa Hekimoğlu Besiktas JK | 19 | 7 | €5.0M | €8.3M | +40% |
| #3 | Guilherme Luiz Göztepe | 21 | 5 | €350K | €503K | +30% |
| #4 | Jhon Durán Fenerbahce | 22 | 4 | €32.0M | €42.8M | +25% |
| #5 | Talha Sarıarslan Kayserispor | 22 | 4 | €300K | €401K | +25% |
| #6 | Felipe Augusto Trabzonspor | 22 | 4 | €6.0M | €8.0M | +25% |
| #7 | Tiago Çukur Fatih Karagümrük | 23 | 3 | €400K | €497K | +20% |
| #8 | Bertuğ Yıldırım Basaksehir FK | 23 | 3 | €2.2M | €2.7M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Besiktas JK's Mustafa Hekimoğlu has the highest Risk-Adjusted Upside at 58.0. That means Mustafa Hekimoğlu has 19% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Fenerbahce's Sidiki Chérif with a 58.0 RAU (19% upside, 0% uncertainty). Third is Jhon Durán of Fenerbahce with a 38.4 RAU (10% 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
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Mustafa Hekimoğlu Besiktas JK | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #2 | Sidiki Chérif Fenerbahce | €8.3M | €7.2M-9.5M | +19% | 58.0 |
| #3 | Jhon Durán Fenerbahce | €35.3M | €31.0M-39.5M | +10% | 38.4 |
| #4 | Guilherme Luiz Göztepe | €386K | €333K-439K | +10% | 33.7 |
| #5 | Bertuğ Yıldırım Basaksehir FK | €2.4M | €2.1M-2.6M | +7% | 27.5 |
| #6 | Tiago Çukur Fatih Karagümrük | €428K | €377K-480K | +7% | 27.5 |
| #7 | Talha Sarıarslan Kayserispor | €318K | €279K-356K | +6% | 23.0 |
| #8 | Felipe Augusto Trabzonspor | €6.4M | €5.6M-7.1M | +6% | 23.0 |
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 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)
Göztepe's Guilherme Luiz in the 21-23 age bracket has the highest Age-Share Concentration at +2.5%. That means Jhon Durán captures 77.5% of total market value while representing only 75.0% of players in their age group-showing dominant elite status.
In second is Fatih Karagümrük's Tiago Çukur with a +2.5% ASC (77.5% value share vs 75.0% player share in 21-23 bracket). Third is Jhon Durán of Fenerbahce with a +2.5% ASC (77.5% value vs 75.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +2.5% ASC means the player captures 2.5% 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 | Guilherme Luiz Göztepe | 21-23 | 77.5% | 75.0% | +2.5% |
| #2 | Tiago Çukur Fatih Karagümrük | 21-23 | 77.5% | 75.0% | +2.5% |
| #3 | Jhon Durán Fenerbahce | 21-23 | 77.5% | 75.0% | +2.5% |
| #4 | Bertuğ Yıldırım Basaksehir FK | 21-23 | 77.5% | 75.0% | +2.5% |
| #5 | Talha Sarıarslan Kayserispor | 21-23 | 77.5% | 75.0% | +2.5% |
| #6 | Felipe Augusto Trabzonspor | 21-23 | 77.5% | 75.0% | +2.5% |
| #7 | Mustafa Hekimoğlu Besiktas JK | U21 | 22.5% | 25.0% | -2.5% |
| #8 | Sidiki Chérif Fenerbahce | U21 | 22.5% | 25.0% | -2.5% |
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: 2 immediate targets, 6 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
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 €300K. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mustafa Hekimoğlu Besiktas JK | €5.0M | €5.0M | -1.00 | Good Value |
Talha Sarıarslan Kayserispor | €300K | €5.0M | -0.05 | Fair Value |
Guilherme Luiz Göztepe | €350K | €5.0M | -0.03 | Fair Value |
Tiago Çukur Fatih Karagümrük | €400K | €5.0M | 0.00 | Fair Value |
Jhon Durán Fenerbahce | €32.0M | €5.0M | 0.00 | Fair Value |
Felipe Augusto Trabzonspor | €6.0M | €5.0M | 0.00 | Fair Value |
Sidiki Chérif Fenerbahce | €7.0M | €5.0M | 0.00 | Fair Value |
Bertuğ Yıldırım Basaksehir FK | €2.2M | €5.0M | +0.97 | Above Market |
How We Rank Süper Lig Young Strikers
Our Analytical Strength Index is calibrated specifically for young strikers, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for ST
Historical Achievement Index (35%)
Peak career market value for Süper Lig young strikers, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Süper Lig young strikers, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Attackers with 2,200+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Attackers peak at 26 with fastest 7.0%/year decline (pace-dependent). Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Süper Lig competition level factored into comparative strength assessment.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
ST Performance Benchmarks
Peak Age: 26 years (peak pace and finishing efficiency)
Decline Rate: 7.0% per year (fastest decline, pace-dependent position)
Optimal Minutes: 2,200-2,400 per season (high-intensity position requires rotation)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Attacker -7.0%/year post-peak, +5%/year pre-peak
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±18% confidence interval (most volatile, form-dependent)
Research Foundation
• Dendir (2016): Age-performance curves for young strikers
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Süper Lig Young Strikers in the 2024-25 season
Who are the most valuable Young Strikers in the Süper Lig in 2024-25?
The most valuable young striker in the Süper Lig in 2024-25 is Jhon Durán, who is worth €32.0M and plays for Fenerbahce. The second most valuable is Sidiki Chérif (€7.0M, Fenerbahce), followed by Felipe Augusto (€6.0M, Trabzonspor). Our database tracks 8 Süper Lig Young Strikers with comprehensive market valuations updated for the 2024-25 season.
How are Süper Lig Young Strikers ranked?
Süper Lig Young Strikers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Strikers. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Süper Lig competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Young Strikers peak?
Attackers typically peak at age 26, with the fastest decline rate of 7.0% per year after peak. This reflects the position's heavy reliance on pace, acceleration, and explosive power, which deteriorate faster than technical skills. Research by Carmichael et al. (2020) confirms that forwards peak earlier and decline faster than any other position. The optimal playing time is around 2,200-2,400 minutes per season.
How much does it cost to sign a top young striker from the Süper Lig?
Transfer fees for Süper Lig Young Strikers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young striker Jhon Durán (market value: €32.0M), estimated transfer fees would range from €25.6M to €44.8M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Süper Lig transactions.
What is the value forecast for Süper Lig Young Strikers?
Our 1-year forecast model projects market value changes for Süper Lig Young Strikers based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-attackers have ±18% volatility (most volatile due to form-dependency). Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Süper Lig young striker data come from?
Our Süper Lig young striker data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Süper Lig sources and updated monthly for the 2024-25 season to ensure accuracy for recruitment and investment decisions.
