Best Strikers in the Superliga (Oct 2026)
219 players tracked across 41 clubs. Updated October 2026.
Ranked by Analytical Strength Index
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.
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 • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €23.2M
74.8
Mohamed Touré
Randers FC • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.1M
58.8
Aaron Boupendza
FC Rapid 1923 • 30 years old
€8.4M
€6.5M
-22.6%
Expected: €4.3M
54.3
Youssoufa Moukoko
FC Copenhagen • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.2
Louis Munteanu
CFR Cluj • 24 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.1
Daniel Bîrligea
FCSB • 26 years old
€3.9M
€4.5M
+15.6%
49.9
Emil Riis
Randers FC • 28 years old
€5.2M
€4.0M
-22.6%
48.5
Mohamed Elyounoussi
FC Copenhagen • 32 years old
€5.2M
€4.0M
-22.6%
48.3
Viktor Dadason
FC Copenhagen • 18 years old
€3.5M
€4.0M
+15.6%
46.8
Jacob Ambæk
Bröndby IF • 18 years old
€3.5M
€4.0M
+15.6%
46.8
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Sign up freeFranculino
FC Midtjylland · 22 years old
74.8
ASI
Current Value
€22.0M
% Change
+15.6%
1yr Forecast Range
€19.0M - €27.4M
Mohamed Touré
Randers FC · 22 years old
58.8
ASI
Current Value
€8.0M
% Change
+15.6%
1yr Forecast Range
€6.7M - €9.6M
Aaron Boupendza
FC Rapid 1923 · 30 years old
54.3
ASI
Current Value
€6.5M
% Change
-22.6%
1yr Forecast Range
€3.5M - €5.1M
Youssoufa Moukoko
FC Copenhagen · 21 years old
52.2
ASI
Current Value
€5.0M
% Change
+15.6%
1yr Forecast Range
€4.0M - €6.1M
Louis Munteanu
CFR Cluj · 24 years old
52.1
ASI
Current Value
€5.0M
% Change
+15.6%
1yr Forecast Range
€4.2M - €6.0M
Daniel Bîrligea
FCSB · 26 years old
49.9
ASI
Current Value
€4.5M
% Change
+15.6%
1yr Forecast Range
Emil Riis
Randers FC · 28 years old
48.5
ASI
Current Value
€4.0M
% Change
-22.6%
1yr Forecast Range
Mohamed Elyounoussi
FC Copenhagen · 32 years old
48.3
ASI
Current Value
€4.0M
% Change
-22.6%
1yr Forecast Range
Viktor Dadason
FC Copenhagen · 18 years old
46.8
ASI
Current Value
€4.0M
% Change
+15.6%
1yr Forecast Range
Jacob Ambæk
Bröndby IF · 18 years old
46.8
ASI
Current Value
€4.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Superliga Strikers (updated October 2026)
Our database tracks 219 Superliga Strikers as of October 2026, representing 41 clubs with a combined market value of €170.6M. The average market value for Superliga Strikers is €779K, with the average age at 29 years old.
The most valuable striker in the Superliga is Franculino, worth €22.0M and playing for FC Midtjylland at 22 years old. The top 5 Strikers average €9.3M in market value, including Mohamed Touré and Aaron Boupendza.
Age distribution shows the youngest tracked striker is Viktor Dadason (18 years, FC Copenhagen, €4.0M), while the oldest is Charlie Davies (40 years, Randers FC, €400K). Research shows Strikers typically peak at age 26.
Our 1-year forecast model projects 39 Strikers (18%) 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 Strikers remains actively developing with emerging talent as of October 2026.
Explore Market Size by Position in Superliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Strikers. Identify undervalued assets and track market momentum across 41 clubs with €170.6M combined value.
Age Distribution: Superliga Strikers
The Superliga ST market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (110 players, 50% of market). The 30+ age group holds the most value at €52.5M, averaging €477K per player.
Top Strikers by Age Bracket
U21 Years (11 players)
21-23 Years (20 players)
24-26 Years (30 players)
27-29 Years (48 players)
Market Value Distribution
Elite Tier Concentration
The top 22 Strikers (10% of players) control €96.2M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 0% of the Superliga ST pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Strikers
Among 41 Superliga clubs, FC Midtjylland leads with 14 Strikers worth €33.9M (averaging €2.4M per player). The top 10 clubs account for 45% of tracked Strikers.
FC Midtjylland (14 Strikers)
FC Copenhagen (12 Strikers)
Randers FC (14 Strikers)
FC Rapid 1923 (5 Strikers)
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 22 years old has the highest Pre-Peak Value Efficiency at 62.86×. That means Franculino is valued 62.86× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Randers FC's Mohamed Touré, who is 22 years old, with a 22.86× PPVE. Third is Youssoufa Moukoko of FC Copenhagen, who is 21 years old with a 14.29× 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 62.86× means the player is worth 6186% 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 | 22 | 21-23 | €22.0M | €350K | 62.86x |
| #2 | Mohamed Touré Randers FC | 22 | 21-23 | €8.0M | €350K | 22.86x |
| #3 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €5.0M | €350K | 14.29x |
| #4 | Louis Munteanu CFR Cluj | 24 | 24-26 | €5.0M | €600K | 8.33x |
| #5 | Jacob Ambæk Bröndby IF | 18 | U21 | €4.0M | €550K | 7.27x |
| #6 | Viktor Dadason FC Copenhagen | 18 | U21 | €4.0M | €550K | 7.27x |
| #7 | Filip Bundgaard Bröndby IF | 22 | 21-23 | €2.5M | €350K | 7.14x |
| #8 | Anosike Ementa Viborg FF | 24 | 24-26 | €2.5M | €600K | 4.17x |
| #9 | Assad Al-Hamlawi Universitatea Craiova | 25 | 24-26 | €2.0M | €600K | 3.33x |
| #10 | David Ankeye FC Rapid 1923 | 24 | 24-26 | €2.0M | €600K | 3.33x |
| #11 | Noah Ganaus Odense Boldklub | 25 | 24-26 | €1.5M | €600K | 2.50x |
| #12 | Kelvin John Aalborg BK | 23 | 21-23 | €750K | €350K | 2.14x |
| #13 | Levy Nene FC Nordsjaelland | 20 | U21 | €1.0M | €550K | 1.82x |
| #14 | Richmond Gyamfi Aarhus GF | 22 | 21-23 | €600K | €350K | 1.71x |
| #15 | Renato Júnior Viborg FF | 24 | 24-26 | €1.0M | €600K | 1.67x |
| #16 | Luca Kjerrumgaard Odense Boldklub | 23 | 21-23 | €550K | €350K | 1.57x |
| #17 | Villum Berthelsen FC Nordsjaelland | 20 | U21 | €800K | €550K | 1.45x |
| #18 | Youssouph Badji Aarhus GF | 24 | 24-26 | €800K | €600K | 1.33x |
| #19 | Atanas Trică FC Universitatea Cluj | 22 | 21-23 | €450K | €350K | 1.29x |
| #20 | Alexander Simmelhack Silkeborg IF | 20 | U21 | €650K | €550K | 1.18x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Unlock Return-to-Peak analysis for Superliga Strikers.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Superliga Strikers.
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
Unlock Roster Pressure Index for Superliga Strikers.
Upgrade to FanAge-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Unlock Age-Share Concentration for Superliga Strikers.
Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
Unlock the Buy Map for Superliga Strikers.
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
Unlock Peer Z-Score analysis for Superliga Strikers.
Upgrade to FanIf you were Superliga's sporting director, who would you sign?
Pick a club, select up to 3 players, and build your transfer proposal.
How We Rank Superliga Strikers
Our Analytical Strength Index is calibrated specifically for 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 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 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: Widening steps, not a flat rate: about -5% at 27, -10% at 28, steeper from 29 (earliest onset, 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: Compounding and banded around a peak of 26: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• 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 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 Strikers, updated October 2026
Who are the most valuable Strikers in the Superliga right now?
The most valuable striker in the Superliga today is Franculino, who is worth €22.0M and plays for FC Midtjylland. The second most valuable is Mohamed Touré (€8.0M, Randers FC), followed by Aaron Boupendza (€6.5M, FC Rapid 1923). Our database tracks 219 Superliga Strikers with comprehensive market valuations updated in October 2026.
How are Superliga Strikers ranked?
Superliga Strikers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for 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 Strikers peak?
Attackers peak earliest, typically at age 26. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 27, -10% at 28, and -15% or more from 29. 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 striker from the Superliga?
Transfer fees for Superliga Strikers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked 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 Strikers?
Our 1-year forecast model projects market value changes for Superliga Strikers based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), 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 striker data come from?
Our Superliga 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 (last update October 2026) to ensure accuracy for recruitment and investment decisions.
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