Best Players (All Positions) in the Superliga (Oct 2026)
949 players tracked across 49 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.
Kurt Zouma
CFR Cluj • 31 years old
€32.3M
€25.0M
-22.6%
Expected: €16.5M
76.7
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
Aral Şimşir
FC Midtjylland • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
60.6
Caleb Yirenkyi
FC Nordsjaelland • 20 years old
€8.6M
€10.0M
+15.6%
59.8
Mohamed Touré
Randers FC • 22 years old
€6.9M
€8.0M
+15.6%
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
Oliver Sørensen
FC Midtjylland • 24 years old
€5.6M
€6.5M
+15.6%
56.1
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Sign up freeKurt Zouma
CFR Cluj · 31 years old
76.7
ASI
Current Value
€25.0M
% Change
-22.6%
1yr Forecast Range
€14.9M - €18.2M
Franculino
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
Aral Şimşir
FC Midtjylland · 24 years old
60.6
ASI
Current Value
€10.0M
% Change
+15.6%
1yr Forecast Range
€8.4M - €12.1M
Caleb Yirenkyi
FC Nordsjaelland · 20 years old
59.8
ASI
Current Value
€10.0M
% Change
+15.6%
1yr Forecast Range
Mohamed Touré
Randers FC · 22 years old
58.8
ASI
Current Value
€8.0M
% Change
+15.6%
1yr Forecast Range
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
Oliver Sørensen
FC Midtjylland · 24 years old
56.1
ASI
Current Value
€6.5M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Superliga Players (All Positions) (updated October 2026)
Our database tracks 949 Superliga Players (All Positions) as of October 2026, representing 49 clubs with a combined market value of €909.5M. The average market value for Superliga Players (All Positions) is €958K, with the average age at 28 years old.
The most valuable player in the Superliga is Kurt Zouma, worth €25.0M and playing for CFR Cluj at 31 years old. The top 5 Players (All Positions) average €18.0M in market value, including Franculino and Lucas Høgsberg.
Age distribution shows the youngest tracked player is Viktor Dadason (18 years, FC Copenhagen, €4.0M), while the oldest is Jim Larsen (40 years, FC Midtjylland, €800K). Research shows Players (All Positions) typically peak at age 26.
Our 1-year forecast model projects 271 Players (All Positions) (29%) 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 Players (All Positions) remains highly competitive with significant transfer activity expected 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 Players (All Positions). Identify undervalued assets and track market momentum across 49 clubs with €909.5M combined value.
Age Distribution: Superliga Players (All Positions)
The Superliga ALL market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (361 players, 38% of market). The 27-29 age group holds the most value at €209.3M, averaging €992K per player.
Top Players (All Positions) by Age Bracket
U21 Years (65 players)
21-23 Years (140 players)
24-26 Years (172 players)
27-29 Years (211 players)
Market Value Distribution
Elite Tier Concentration
The top 95 Players (All Positions) (10% of players) control €420.7M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 0% of the Superliga ALL pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Players (All Positions)
Among 49 Superliga clubs, FC Midtjylland leads with 46 Players (All Positions) worth €126.3M (averaging €2.7M per player). The top 10 clubs account for 39% of tracked Players (All Positions).
FC Midtjylland (46 Players (All Positions))
FC Copenhagen (40 Players (All Positions))
FC Nordsjaelland (43 Players (All Positions))
CFR Cluj (28 Players (All Positions))
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 | Aral Şimşir FC Midtjylland | 24 | 24-26 | €10.0M | €700K | 14.29x |
| #6 | Ousmane Diao FC Midtjylland | 22 | 21-23 | €8.0M | €600K | 13.33x |
| #7 | Mohamed Touré Randers FC | 22 | 21-23 | €8.0M | €600K | 13.33x |
| #8 | Prince Amoako Junior FC Nordsjaelland | 19 | U21 | €7.0M | €600K | 11.67x |
| #9 | Denil Castillo FC Midtjylland | 22 | 21-23 | €7.0M | €600K | 11.67x |
| #10 | Kristian Arnstad Aarhus GF | 23 | 21-23 | €6.0M | €600K | 10.00x |
| #11 | Rodrigo Huescas FC Copenhagen | 23 | 21-23 | €6.0M | €600K | 10.00x |
| #12 | Oliver Sørensen FC Midtjylland | 24 | 24-26 | €6.5M | €700K | 9.29x |
| #13 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €5.0M | €600K | 8.33x |
| #14 | Ștefan Baiaram Universitatea Craiova | 23 | 21-23 | €5.0M | €600K | 8.33x |
| #15 | Thomas Jørgensen Viborg FF | 21 | 21-23 | €5.0M | €600K | 8.33x |
| #16 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €600K | 7.50x |
| #17 | Juho Lähteenmäki FC Nordsjaelland | 20 | U21 | €4.5M | €600K | 7.50x |
| #18 | Louis Munteanu CFR Cluj | 24 | 24-26 | €5.0M | €700K | 7.14x |
| #19 | Jacob Ambæk Bröndby IF | 18 | U21 | €4.0M | €600K | 6.67x |
| #20 | Viktor Dadason FC Copenhagen | 18 | U21 | €4.0M | €600K | 6.67x |
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 Players (All Positions).
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Superliga Players (All Positions).
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 Players (All Positions).
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 Players (All Positions).
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 Players (All Positions).
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
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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 Players (All Positions)
Our Analytical Strength Index is calibrated specifically for players (all positions), 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 players (all positions), 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 players (all positions), 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 players (all positions)
• 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 Players (All Positions), updated October 2026
Who are the most valuable Players (All Positions) in the Superliga right now?
The most valuable player in the Superliga today is Kurt Zouma, who is worth €25.0M and plays for CFR Cluj. The second most valuable is Franculino (€22.0M, FC Midtjylland), followed by Lucas Høgsberg (€18.0M, FC Nordsjaelland). Our database tracks 949 Superliga Players (All Positions) with comprehensive market valuations updated in October 2026.
How are Superliga Players (All Positions) ranked?
Superliga Players (All Positions) are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Players (All Positions). 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 Players (All Positions) peak?
How much does it cost to sign a top player from the Superliga?
Transfer fees for Superliga Players (All Positions) vary significantly based on market value, contract length, and club bargaining position. For the top-ranked player Kurt Zouma (market value: €25.0M), estimated transfer fees would range from €20.0M to €35.0M 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 Players (All Positions)?
Our 1-year forecast model projects market value changes for Superliga Players (All Positions) 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 player data come from?
Our Superliga 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.
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