Best U23 Young Strikers in the Superliga
9 players aged 23 or under · ranked by Analytical Strength Index
Best Young Strikers in the Superliga (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Superliga Young Strikers 2025-26
Our database tracks 9 Superliga Young Strikers in the 2025-26 season, representing 8 clubs with a combined market value of €41.4M. The average market value for Superliga Young Strikers is €4.6M, with the average age at 21 years old.
The most valuable young striker in the Superliga is Franculino, worth €22.0M and playing for FC Midtjylland at 21 years old. The top 5 Young Strikers average €7.8M in market value, including Youssoufa Moukoko and Alexander Lind.
Age distribution shows the youngest tracked young striker is Levy Nene (20 years, FC Nordsjaelland, €750K), while the oldest is Alexander Lind (23 years, FC Nordsjaelland, €6.0M). Research shows Young Strikers typically peak at age 26.
Our 1-year forecast model projects 9 Young Strikers (100%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Superliga market for Young Strikers remains actively developing with emerging talent in the 2025-26 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 Superliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Young Strikers. Identify undervalued assets and track market momentum across 8 clubs with €41.4M combined value.
Age Distribution: Superliga Young Strikers
The Superliga ST market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (7 players, 78% of market). The 21-23 age group holds the most value at €39.9M, averaging €5.7M per player.
Top Young Strikers by Age Bracket
U21 Years (2 players)
21-23 Years (7 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Strikers (11% of players) control €22.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 11% of the Superliga ST pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Young Strikers
Among 8 Superliga clubs, FC Midtjylland leads with 1 Young Strikers worth €22.0M (averaging €22.0M per player). The top 10 clubs account for 100% of tracked Young Strikers.
FC Midtjylland (1 Young Strikers)
FC Copenhagen (1 Young Strikers)
FC Nordsjaelland (2 Young Strikers)
Bröndby IF (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.
Franculino
FC Midtjylland • 21 years old
€19.0M
€22.0M
+15.6%
Expected: €24.3M
73.7
Youssoufa Moukoko
FC Copenhagen • 21 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
55.8
Alexander Lind
FC Nordsjaelland • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.1
Filip Bundgaard
Bröndby IF • 21 years old
€2.2M
€2.5M
+15.6%
Expected: €2.8M
39.4
Mohamed Touré
Randers FC • 22 years old
€1.5M
€1.7M
+15.6%
Expected: €1.8M
35.2
Levy Nene
FC Nordsjaelland • 20 years old
€649K
€750K
+15.6%
Expected: €860K
23.8
Alexander Simmelhack
Silkeborg IF • 20 years old
€605K
€700K
+15.6%
Expected: €803K
23.0
Wahid Faghir
Vejle Boldklub • 22 years old
€432K
€500K
+15.6%
Expected: €529K
20.0
Eskild Dall
FC Fredericia • 23 years old
€173K
€200K
+15.6%
Expected: €214K
9.2
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)
FC Midtjylland's Franculino at 21 years old has the highest Pre-Peak Value Efficiency at 8.80×. That means Franculino is valued 8.80× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is FC Copenhagen's Youssoufa Moukoko, who is 21 years old, with a 2.80× PPVE. Third is Alexander Lind of FC Nordsjaelland, who is 23 years old with a 2.40× 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 8.80× means the player is worth 780% 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 | Franculino FC Midtjylland | 21 | 21-23 | €22.0M | €2.5M | 8.80× |
| #2 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €7.0M | €2.5M | 2.80× |
| #3 | Alexander Lind FC Nordsjaelland | 23 | 21-23 | €6.0M | €2.5M | 2.40× |
| #4 | Levy Nene FC Nordsjaelland | 20 | U21 | €750K | €750K | 1.00× |
| #5 | Filip Bundgaard Bröndby IF | 21 | 21-23 | €2.5M | €2.5M | 1.00× |
| #6 | Alexander Simmelhack Silkeborg IF | 20 | U21 | €700K | €750K | 0.93× |
| #7 | Mohamed Touré Randers FC | 22 | 21-23 | €1.7M | €2.5M | 0.68× |
| #8 | Wahid Faghir Vejle Boldklub | 22 | 21-23 | €500K | €2.5M | 0.20× |
| #9 | Eskild Dall FC Fredericia | 23 | 21-23 | €200K | €2.5M | 0.08× |
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)
FC Nordsjaelland's Levy Nene at 20 years old has the highest Return-to-Peak Potential at +35%. That means Levy Nene is projected to appreciate 35% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is Silkeborg IF's Alexander Simmelhack, who is 20 years old, with a +35% RPP (6 years to peak). Third is Filip Bundgaard of Bröndby IF, 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 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 | Levy Nene FC Nordsjaelland | 20 | 6 | €750K | €1.2M | +35% |
| #2 | Alexander Simmelhack Silkeborg IF | 20 | 6 | €700K | €1.1M | +35% |
| #3 | Filip Bundgaard Bröndby IF | 21 | 5 | €2.5M | €3.6M | +30% |
| #4 | Franculino FC Midtjylland | 21 | 5 | €22.0M | €31.6M | +30% |
| #5 | Youssoufa Moukoko FC Copenhagen | 21 | 5 | €7.0M | €10.1M | +30% |
| #6 | Wahid Faghir Vejle Boldklub | 22 | 4 | €500K | €668K | +25% |
| #7 | Mohamed Touré Randers FC | 22 | 4 | €1.7M | €2.3M | +25% |
| #8 | Alexander Lind FC Nordsjaelland | 23 | 3 | €6.0M | €7.5M | +20% |
| #9 | Eskild Dall FC Fredericia | 23 | 3 | €200K | €249K | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Silkeborg IF's Alexander Simmelhack has the highest Risk-Adjusted Upside at 46.3. That means Alexander Simmelhack has 15% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FC Nordsjaelland's Levy Nene with a 46.3 RAU (15% upside, 0% uncertainty). Third is Filip Bundgaard of Bröndby IF with a 33.7 RAU (10% 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 | Alexander Simmelhack Silkeborg IF | €803K | €692K-913K | +15% | 46.3 |
| #2 | Levy Nene FC Nordsjaelland | €860K | €741K-979K | +15% | 46.3 |
| #3 | Filip Bundgaard Bröndby IF | €2.8M | €2.4M-3.1M | +10% | 33.7 |
| #4 | Youssoufa Moukoko FC Copenhagen | €7.7M | €6.7M-8.8M | +10% | 33.7 |
| #5 | Franculino FC Midtjylland | €24.3M | €20.9M-27.6M | +10% | 33.7 |
| #6 | Alexander Lind FC Nordsjaelland | €6.4M | €5.7M-7.2M | +7% | 27.5 |
| #7 | Eskild Dall FC Fredericia | €214K | €188K-240K | +7% | 27.5 |
| #8 | Mohamed Touré Randers FC | €1.8M | €1.6M-2.0M | +6% | 23.0 |
| #9 | Wahid Faghir Vejle Boldklub | €529K | €466K-593K | +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 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)
FC Nordsjaelland's Levy Nene in the U21 age bracket has the highest Age-Share Concentration at +-18.7%. That means Levy Nene captures 3.5% of total market value while representing only 22.2% of players in their age group-showing dominant elite status.
In second is Silkeborg IF's Alexander Simmelhack with a +-18.7% ASC (3.5% value share vs 22.2% player share in U21 bracket). Third is Youssoufa Moukoko of FC Copenhagen with a +18.7% ASC (96.5% value vs 77.8% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-18.7% ASC means the player captures -18.7% 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 | Levy Nene FC Nordsjaelland | U21 | 3.5% | 22.2% | -18.7% |
| #2 | Alexander Simmelhack Silkeborg IF | U21 | 3.5% | 22.2% | -18.7% |
| #3 | Youssoufa Moukoko FC Copenhagen | 21-23 | 96.5% | 77.8% | +18.7% |
| #4 | Alexander Lind FC Nordsjaelland | 21-23 | 96.5% | 77.8% | +18.7% |
| #5 | Eskild Dall FC Fredericia | 21-23 | 96.5% | 77.8% | +18.7% |
| #6 | Wahid Faghir Vejle Boldklub | 21-23 | 96.5% | 77.8% | +18.7% |
| #7 | Filip Bundgaard Bröndby IF | 21-23 | 96.5% | 77.8% | +18.7% |
| #8 | Mohamed Touré Randers FC | 21-23 | 96.5% | 77.8% | +18.7% |
| #9 | Franculino FC Midtjylland | 21-23 | 96.5% | 77.8% | +18.7% |
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, 9 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 €22.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Alexander Lind FC Nordsjaelland | €6.0M | €1.7M | -1.00 | Good Value |
Alexander Simmelhack Silkeborg IF | €700K | €1.7M | -1.00 | Good Value |
Eskild Dall FC Fredericia | €200K | €1.7M | -0.75 | Good Value |
Wahid Faghir Vejle Boldklub | €500K | €1.7M | -0.60 | Good Value |
Levy Nene FC Nordsjaelland | €750K | €1.7M | 0.00 | Fair Value |
Youssoufa Moukoko FC Copenhagen | €7.0M | €1.7M | 0.00 | Fair Value |
Mohamed Touré Randers FC | €1.7M | €1.7M | 0.00 | Fair Value |
Franculino FC Midtjylland | €22.0M | €1.7M | 0.00 | Fair Value |
Filip Bundgaard Bröndby IF | €2.5M | €1.7M | +0.40 | Fair Value |
How We Rank Superliga 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 Superliga 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 Superliga 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%)
Superliga 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 Superliga Young Strikers in the 2025-26 season
Who are the most valuable Young Strikers in the Superliga in 2025-26?
The most valuable young striker in the Superliga in 2025-26 is Franculino, who is worth €22.0M and plays for FC Midtjylland. The second most valuable is Youssoufa Moukoko (€7.0M, FC Copenhagen), followed by Alexander Lind (€6.0M, FC Nordsjaelland). Our database tracks 9 Superliga Young Strikers with comprehensive market valuations updated for the 2025-26 season.
How are Superliga Young Strikers ranked?
Superliga 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 Superliga 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 Superliga?
Transfer fees for Superliga Young Strikers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young striker Franculino (market value: €22.0M), estimated transfer fees would range from €17.6M to €30.8M 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 Superliga transactions.
What is the value forecast for Superliga Young Strikers?
Our 1-year forecast model projects market value changes for Superliga 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 Superliga young striker data come from?
Our Superliga 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 Superliga sources and updated monthly for the 2025-26 season to ensure accuracy for recruitment and investment decisions.