Best U23 Young Players in the Superliga
199 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Superliga (Sep 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%
Expected: €8.1M
58.5
Denil Castillo
FC Midtjylland • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €7.1M
56.2
Rodrigo Huescas
FC Copenhagen • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
54.9
Kristian Arnstad
Aarhus GF • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
54.8
Prince Amoako Junior
FC Nordsjaelland • 19 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
54.5
Ștefan Baiaram
Universitatea Craiova • 23 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.6
Youssoufa Moukoko
FC Copenhagen • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.2
Thomas Jørgensen
Viborg FF • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.5M
51.2
Benjamin Tahirović
Bröndby IF • 23 years old
€3.9M
€4.5M
+15.6%
Expected: €4.4M
51.1
Juho Lähteenmäki
FC Nordsjaelland • 20 years old
€3.9M
€4.5M
+15.6%
Expected: €5.0M
50.6
Victor Bak
FC Midtjylland • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
49.7
Junnosuke Suzuki
FC Copenhagen • 23 years old
€3.0M
€3.5M
+15.6%
Expected: €3.4M
48.3
William Clem
FC Copenhagen • 22 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.6
Pedro Bravo
FC Midtjylland • 21 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.1
Viktor Dadason
FC Copenhagen • 18 years old
€3.5M
€4.0M
+15.6%
Expected: €4.4M
46.8
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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 €296.6M 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 (128 players, 64% of market). The 21-23 age group holds the most value at €191.3M, averaging €1.5M per player.
Top Young Players by Age Bracket
U21 Years (71 players)
21-23 Years (128 players)
Market Value Distribution
Elite Tier Concentration
The top 20 Young Players (10% of players) control €149.5M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 2% 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 (19 Young Players)
FC Copenhagen (14 Young Players)
Bröndby IF (8 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 33.85×. That means Franculino is valued 33.85× 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 23.08× 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 33.85× means the player is worth 3285% 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 | €650K | 33.85× |
| #2 | Lucas Høgsberg FC Nordsjaelland | 20 | U21 | €18.0M | €600K | 30.00× |
| #3 | Darío Osorio FC Midtjylland | 22 | 21-23 | €15.0M | €650K | 23.08× |
| #4 | Caleb Yirenkyi FC Nordsjaelland | 20 | U21 | €10.0M | €600K | 16.67× |
| #5 | Ousmane Diao FC Midtjylland | 22 | 21-23 | €8.0M | €650K | 12.31× |
| #6 | Mohamed Touré Randers FC | 22 | 21-23 | €8.0M | €650K | 12.31× |
| #7 | Prince Amoako Junior FC Nordsjaelland | 19 | U21 | €7.0M | €600K | 11.67× |
| #8 | Denil Castillo FC Midtjylland | 22 | 21-23 | €7.0M | €650K | 10.77× |
| #9 | Kristian Arnstad Aarhus GF | 23 | 21-23 | €6.0M | €650K | 9.23× |
| #10 | Rodrigo Huescas FC Copenhagen | 22 | 21-23 | €6.0M | €650K | 9.23× |
| #11 | Thomas Jørgensen Viborg FF | 20 | U21 | €5.0M | €600K | 8.33× |
| #12 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €5.0M | €650K | 7.69× |
| #13 | Ștefan Baiaram Universitatea Craiova | 23 | 21-23 | €5.0M | €650K | 7.69× |
| #14 | Juho Lähteenmäki FC Nordsjaelland | 20 | U21 | €4.5M | €600K | 7.50× |
| #15 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €650K | 6.92× |
| #16 | Jacob Ambæk Bröndby IF | 18 | U21 | €4.0M | €600K | 6.67× |
| #17 | Viktor Dadason FC Copenhagen | 18 | U21 | €4.0M | €600K | 6.67× |
| #18 | Victor Bak FC Midtjylland | 22 | 21-23 | €4.0M | €650K | 6.15× |
| #19 | Oscar Schwartau Bröndby IF | 20 | U21 | €3.5M | €600K | 5.83× |
| #20 | Pedro Bravo FC Midtjylland | 21 | 21-23 | €3.5M | €650K | 5.38× |
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)
FCSB's Matei Popa at 19 years old has the highest Return-to-Peak Potential at +55%. That means Matei Popa is projected to appreciate 55% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is FCV Farul Constanta's Rafael Munteanu, who is 20 years old, with a +52% RPP (6 years to peak). Third is Lamine Sadio of FC Nordsjaelland, who is 18 years old with a +48% RPP (8 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 55% RPP means the player is expected to gain 55% 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 | Matei Popa FCSB | 19 | 7 | €300K | €667K | +55% |
| #2 | Rafael Munteanu FCV Farul Constanta | 20 | 6 | €300K | €620K | +52% |
| #3 | Lamine Sadio FC Nordsjaelland | 18 | 8 | €850K | €1.6M | +48% |
| #4 | Nóel Atli Arnórsson Aalborg BK | 19 | 7 | €700K | €1.3M | +48% |
| #5 | Denis Țăroi UTA Arad | 18 | 8 | €300K | €576K | +48% |
| #6 | Noah Markmann FC Nordsjaelland | 19 | 7 | €2.5M | €4.8M | +48% |
| #7 | Ionuț Cercel FCSB | 19 | 7 | €450K | €865K | +48% |
| #8 | Markus Walker FC Nordsjaelland | 19 | 7 | €400K | €769K | +48% |
| #9 | Narcis Ilaș FC Botosani | 19 | 7 | €400K | €769K | +48% |
| #10 | Aske Andrésen Silkeborg IF | 21 | 5 | €250K | €480K | +48% |
| #11 | Gavin Beavers Bröndby IF | 21 | 5 | €400K | €769K | +48% |
| #12 | William Lykke FC Nordsjaelland | 21 | 5 | €500K | €961K | +48% |
| #13 | Ștefan Lefter FC Universitatea Cluj | 21 | 5 | €500K | €961K | +48% |
| #14 | Geovanni Vianney Ndjee FC Copenhagen | 18 | 8 | €350K | €625K | +44% |
| #15 | Alexandru Stoian FCSB | 18 | 8 | €550K | €983K | +44% |
| #16 | Sofus Johannesen FC Midtjylland | 19 | 7 | €550K | €983K | +44% |
| #17 | William Martin Odense Boldklub | 19 | 7 | €750K | €1.3M | +44% |
| #18 | Alamara Djabi FC Midtjylland | 19 | 7 | €200K | €357K | +44% |
| #19 | Efraim Bödő FK Csikszereda Miercurea Ciuc | 19 | 7 | €450K | €804K | +44% |
| #20 | Răzvan Creț FC Botosani | 20 | 6 | €450K | €804K | +44% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
FCSB's Matei Popa has the highest Risk-Adjusted Upside at 76.5. That means Rafael Munteanu has 16% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FCV Farul Constanta's Rafael Munteanu with a 76.5 RAU (16% upside, 0% uncertainty). Third is Nóel Atli Arnórsson of Aalborg BK with a 40.4 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 76.5 means the upside is 76.5× 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 | Matei Popa FCSB | €349K | €317K-381K | +16% | 76.5 |
| #2 | Rafael Munteanu FCV Farul Constanta | €349K | €317K-381K | +16% | 76.5 |
| #3 | Nóel Atli Arnórsson Aalborg BK | €772K | €683K-861K | +10% | 40.4 |
| #4 | Lasse Flø Vejle Boldklub | €827K | €732K-922K | +10% | 40.4 |
| #5 | Julius Berthel Askou Odense Boldklub | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #6 | Noah Markmann FC Nordsjaelland | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #7 | Yoram Zague FC Copenhagen | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #8 | Andrei Borza FC Rapid 1923 | €2.8M | €2.4M-3.1M | +10% | 40.4 |
| #9 | Luka Callø Aarhus GF | €551K | €488K-615K | +10% | 40.4 |
| #10 | Alin Chinteș FC Universitatea Cluj | €276K | €244K-307K | +10% | 40.4 |
| #11 | David Irimia FC Metaloglobus Bucharest | €276K | €244K-307K | +10% | 40.4 |
| #12 | Stephen Acquah FC Nordsjaelland | €551K | €488K-615K | +10% | 40.4 |
| #13 | Adam Nygaard FC Fredericia | €551K | €488K-615K | +10% | 40.4 |
| #14 | Sabil Hansen Randers FC | €662K | €585K-738K | +10% | 40.4 |
| #15 | Lukas Larsen Bröndby IF | €331K | €293K-369K | +10% | 40.4 |
| #16 | Hjalte Bidstrup Viborg FF | €1.3M | €1.2M-1.5M | +10% | 40.4 |
| #17 | Răzvan Creț FC Botosani | €496K | €439K-553K | +10% | 40.4 |
| #18 | Ionuț Cercel FCSB | €496K | €439K-553K | +10% | 40.4 |
| #19 | William Glindtvad FC Copenhagen | €441K | €390K-492K | +10% | 40.4 |
| #20 | Markus Walker FC Nordsjaelland | €441K | €390K-492K | +10% | 40.4 |
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 player 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)
Viborg FF's Sami Jalal in the 21-23 age bracket has the highest Age-Share Concentration at +0.2%. That means Franculino captures 64.5% of total market value while representing only 64.3% of players in their age group-showing dominant elite status.
In second is Odense Boldklub's Mohamed Kanté with a +0.2% ASC (64.5% value share vs 64.3% player share in 21-23 bracket). Third is Amin Al-Hamawi of Randers FC with a +0.2% ASC (64.5% value vs 64.3% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +0.2% ASC means the player captures 0.2% 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 | Sami Jalal Viborg FF | 21-23 | 64.5% | 64.3% | +0.2% |
| #2 | Mohamed Kanté Odense Boldklub | 21-23 | 64.5% | 64.3% | +0.2% |
| #3 | Amin Al-Hamawi Randers FC | 21-23 | 64.5% | 64.3% | +0.2% |
| #4 | Friday Adams FC Botosani | 21-23 | 64.5% | 64.3% | +0.2% |
| #5 | Patrick Dulcea AFC Unirea 04 Slobozia | 21-23 | 64.5% | 64.3% | +0.2% |
| #6 | Viktor Kun CFR Cluj | 21-23 | 64.5% | 64.3% | +0.2% |
| #7 | Lukas Kirkegaard Viborg FF | 21-23 | 64.5% | 64.3% | +0.2% |
| #8 | Juraj Badelj Universitatea Craiova | 21-23 | 64.5% | 64.3% | +0.2% |
| #9 | Yonis Njoh Viborg FF | 21-23 | 64.5% | 64.3% | +0.2% |
| #10 | Oskar Boesen Silkeborg IF | 21-23 | 64.5% | 64.3% | +0.2% |
| #11 | Robert FC Copenhagen | 21-23 | 64.5% | 64.3% | +0.2% |
| #12 | Ousmane Diao FC Midtjylland | 21-23 | 64.5% | 64.3% | +0.2% |
| #13 | Johannes Selvén Odense Boldklub | 21-23 | 64.5% | 64.3% | +0.2% |
| #14 | Yaya Bojang Odense Boldklub | 21-23 | 64.5% | 64.3% | +0.2% |
| #15 | Benjamin Örn Randers FC | 21-23 | 64.5% | 64.3% | +0.2% |
| #16 | Luca Stancu FC Hermannstadt | 21-23 | 64.5% | 64.3% | +0.2% |
| #17 | Richmond Gyamfi Aarhus GF | 21-23 | 64.5% | 64.3% | +0.2% |
| #18 | Mark Țuțu UTA Arad | 21-23 | 64.5% | 64.3% | +0.2% |
| #19 | Youssoufa Moukoko FC Copenhagen | 21-23 | 64.5% | 64.3% | +0.2% |
| #20 | Mads Søndergaard Viborg FF | 21-23 | 64.5% | 64.3% | +0.2% |
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, 71 standard acquisitions, 126 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
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 €500K. 0 undervalued, 30 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Darío Osorio FC Midtjylland | €15.0M | €650K | -1.00 | Good Value |
Alamara Djabi FC Midtjylland | €200K | €650K | -0.58 | Good Value |
Alin Chinteș FC Universitatea Cluj | €250K | €650K | -0.50 | Good Value |
Denis Bordun SC Otelul Galati | €250K | €650K | -0.50 | Good Value |
David Irimia FC Metaloglobus Bucharest | €250K | €650K | -0.50 | Good Value |
Abdoulaye Camara Vejle Boldklub | €250K | €650K | -0.50 | Good Value |
Sindre Walle Egeli FC Nordsjaelland | €250K | €650K | -0.50 | Good Value |
Mattias Jakobsen FC Copenhagen | €200K | €650K | -0.47 | Fair Value |
Magnus Munck FC Nordsjaelland | €200K | €650K | -0.47 | Fair Value |
Lukas Wagner AC Horsens | €200K | €650K | -0.47 | Fair Value |
Malte Heyde FC Nordsjaelland | €300K | €650K | -0.42 | Fair Value |
Valdemar Møller Aalborg BK | €300K | €650K | -0.42 | Fair Value |
Daniel Sandu SC Otelul Galati | €300K | €650K | -0.42 | Fair Value |
Denis Țăroi UTA Arad | €300K | €650K | -0.42 | Fair Value |
Matei Popa FCSB | €300K | €650K | -0.42 | Fair Value |
Adam Claridge Bröndby IF | €300K | €650K | -0.42 | Fair Value |
Lukas Larsen Bröndby IF | €300K | €650K | -0.42 | Fair Value |
Rafael Munteanu FCV Farul Constanta | €300K | €650K | -0.42 | Fair Value |
Amin Al-Hamawi Randers FC | €250K | €650K | -0.41 | Fair Value |
Patrick Dulcea AFC Unirea 04 Slobozia | €250K | €650K | -0.41 | Fair Value |
Market Overview: Superliga Young Players 2024-25
Our database tracked 199 Superliga Young Players in the 2024-25 season, representing 33 clubs with a combined market value of €296.6M. The average market value for Superliga Young Players was €1.5M, with the average age at 21 years old.
The most valuable young player in the Superliga was Franculino, worth €22.0M and played for FC Midtjylland at 22 years old. The top 5 Young Players averaged €14.6M in market value, including Lucas Høgsberg and Darío Osorio.
Age distribution showed the youngest tracked young player was Viktor Dadason (18 years, FC Copenhagen, €4.0M), while the oldest was Kristian Arnstad (23 years, Aarhus GF, €6.0M). Research shows Young Players typically peak at age 26.
Historical analysis showed 172 Young Players (86%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Superliga market for Young Players remained actively developing with emerging talent in the 2024-25 season.
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 in the 2024-25 season
Who are the most valuable Young Players in the Superliga in 2024-25?
The most valuable young player in the Superliga in 2024-25 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 199 Superliga Young Players with comprehensive market valuations updated for the 2024-25 season.
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 for the 2024-25 season to ensure accuracy for recruitment and investment decisions.