Best U23 Young Players in the Superliga
205 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Superliga (Oct 2026)
205 players tracked across 33 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
Lucas Høgsberg
FC Nordsjaelland • 20 years old
€15.6M
€18.0M
+15.6%
Expected: €19.8M
71.8
Darío Osorio
FC Midtjylland • 22 years old
€13.0M
€15.0M
+15.6%
Expected: €15.8M
70.2
Caleb Yirenkyi
FC Nordsjaelland • 20 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
59.8
Mohamed Touré
Randers FC • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.1M
58.8
Ousmane Diao
FC Midtjylland • 22 years old
€6.9M
€8.0M
+15.6%
58.5
Denil Castillo
FC Midtjylland • 22 years old
€6.1M
€7.0M
+15.6%
56.2
Rodrigo Huescas
FC Copenhagen • 23 years old
€5.2M
€6.0M
+15.6%
55.2
Kristian Arnstad
Aarhus GF • 23 years old
€5.2M
€6.0M
+15.6%
54.8
Prince Amoako Junior
FC Nordsjaelland • 19 years old
€6.1M
€7.0M
+15.6%
54.5
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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
Lucas Høgsberg
FC Nordsjaelland · 20 years old
71.8
ASI
Current Value
€18.0M
% Change
+15.6%
1yr Forecast Range
€17.6M - €22.1M
Darío Osorio
FC Midtjylland · 22 years old
70.2
ASI
Current Value
€15.0M
% Change
+15.6%
1yr Forecast Range
€13.0M - €18.7M
Caleb Yirenkyi
FC Nordsjaelland · 20 years old
59.8
ASI
Current Value
€10.0M
% Change
+15.6%
1yr Forecast Range
€9.4M - €12.7M
Mohamed Touré
Randers FC · 22 years old
58.8
ASI
Current Value
€8.0M
% Change
+15.6%
1yr Forecast Range
€6.7M - €9.6M
Ousmane Diao
FC Midtjylland · 22 years old
58.5
ASI
Current Value
€8.0M
% Change
+15.6%
1yr Forecast Range
Denil Castillo
FC Midtjylland · 22 years old
56.2
ASI
Current Value
€7.0M
% Change
+15.6%
1yr Forecast Range
Rodrigo Huescas
FC Copenhagen · 23 years old
55.2
ASI
Current Value
€6.0M
% Change
+15.6%
1yr Forecast Range
Kristian Arnstad
Aarhus GF · 23 years old
54.8
ASI
Current Value
€6.0M
% Change
+15.6%
1yr Forecast Range
Prince Amoako Junior
FC Nordsjaelland · 19 years old
54.5
ASI
Current Value
€7.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Superliga Young Players (updated October 2026)
Our database tracks 205 Superliga Young Players as of October 2026, representing 33 clubs with a combined market value of €297.7M. The average market value for Superliga Young Players is €1.5M, with the average age at 21 years old.
The most valuable young player in the Superliga is Franculino, worth €22.0M and playing for FC Midtjylland at 22 years old. The top 5 Young Players average €14.6M in market value, including Lucas Høgsberg and Darío Osorio.
Age distribution shows the youngest tracked young player is Viktor Dadason (18 years, FC Copenhagen, €4.0M), while the oldest is Rodrigo Huescas (23 years, FC Copenhagen, €6.0M). Research shows Young Players typically peak at age 26.
Our 1-year forecast model projects 174 Young Players (85%) 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 Players 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 Young Players. Identify undervalued assets and track market momentum across 33 clubs with €297.7M combined value.
Age Distribution: Superliga Young Players
The Superliga ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (140 players, 68% of market). The 21-23 age group holds the most value at €200.0M, averaging €1.4M per player.
Top Young Players by Age Bracket
U21 Years (65 players)
21-23 Years (140 players)
Market Value Distribution
Elite Tier Concentration
The top 21 Young Players (10% of players) control €153.5M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 1% of the Superliga ALL pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Young Players
Among 33 Superliga clubs, FC Midtjylland leads with 13 Young Players worth €67.5M (averaging €5.2M per player). The top 10 clubs account for 53% of tracked Young Players.
FC Midtjylland (13 Young Players)
FC Nordsjaelland (20 Young Players)
FC Copenhagen (13 Young Players)
Bröndby IF (9 Young Players)
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 36.67×. That means Franculino is valued 36.67× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is FC Nordsjaelland's Lucas Høgsberg, who is 20 years old, with a 30.00× PPVE. Third is Darío Osorio of FC Midtjylland, who is 22 years old with a 25.00× 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 36.67× means the player is worth 3567% 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 | €600K | 36.67x |
| #2 | Lucas Høgsberg FC Nordsjaelland | 20 | U21 | €18.0M | €600K | 30.00x |
| #3 | Darío Osorio FC Midtjylland | 22 | 21-23 | €15.0M | €600K | 25.00x |
| #4 | Caleb Yirenkyi FC Nordsjaelland | 20 | U21 | €10.0M | €600K | 16.67x |
| #5 | Ousmane Diao FC Midtjylland | 22 | 21-23 | €8.0M | €600K | 13.33x |
| #6 | Mohamed Touré Randers FC | 22 | 21-23 | €8.0M | €600K | 13.33x |
| #7 | Prince Amoako Junior FC Nordsjaelland | 19 | U21 | €7.0M | €600K | 11.67x |
| #8 | Denil Castillo FC Midtjylland | 22 | 21-23 | €7.0M | €600K | 11.67x |
| #9 | Kristian Arnstad Aarhus GF | 23 | 21-23 | €6.0M | €600K | 10.00x |
| #10 | Rodrigo Huescas FC Copenhagen | 23 | 21-23 | €6.0M | €600K | 10.00x |
| #11 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €5.0M | €600K | 8.33x |
| #12 | Ștefan Baiaram Universitatea Craiova | 23 | 21-23 | €5.0M | €600K | 8.33x |
| #13 | Thomas Jørgensen Viborg FF | 21 | 21-23 | €5.0M | €600K | 8.33x |
| #14 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €600K | 7.50x |
| #15 | Juho Lähteenmäki FC Nordsjaelland | 20 | U21 | €4.5M | €600K | 7.50x |
| #16 | Jacob Ambæk Bröndby IF | 18 | U21 | €4.0M | €600K | 6.67x |
| #17 | Viktor Dadason FC Copenhagen | 18 | U21 | €4.0M | €600K | 6.67x |
| #18 | Victor Bak FC Midtjylland | 23 | 21-23 | €4.0M | €600K | 6.67x |
| #19 | Pedro Bravo FC Midtjylland | 21 | 21-23 | €3.5M | €600K | 5.83x |
| #20 | Oscar Schwartau Bröndby IF | 20 | U21 | €3.5M | €600K | 5.83x |
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 Young Players.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Superliga Young Players.
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 Young Players.
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 Young Players.
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 Young Players.
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 Young Players.
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 Young Players
Our Analytical Strength Index is calibrated specifically for young players, 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 ALL
Historical Achievement Index (35%)
Peak career market value for Superliga young players, 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 players, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 27 with 6.0%/year decline. 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.
ALL Performance Benchmarks
Peak Age: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
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 27: +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: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young players
• 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 Players, updated October 2026
Who are the most valuable Young Players in the Superliga right now?
The most valuable young player in the Superliga today is Franculino, who is worth €22.0M and plays for FC Midtjylland. The second most valuable is Lucas Høgsberg (€18.0M, FC Nordsjaelland), followed by Darío Osorio (€15.0M, FC Midtjylland). Our database tracks 205 Superliga Young Players with comprehensive market valuations updated in October 2026.
How are Superliga Young Players ranked?
Superliga Young Players are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Players. 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 Players peak?
How much does it cost to sign a top young player from the Superliga?
Transfer fees for Superliga Young Players vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young player 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 Players?
Our 1-year forecast model projects market value changes for Superliga Young Players 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-midfielders have ±12-15% volatility. 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 player data come from?
Our Superliga young player 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.