Best Players (All Positions) 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.
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%
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
Oliver Sørensen
FC Midtjylland • 24 years old
€5.6M
€6.5M
+15.6%
Expected: €6.7M
56.1
Kristian Arnstad
Aarhus GF • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
55.3
Gabriel Pereira
FC Copenhagen • 26 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
55.3
Rodrigo Huescas
FC Copenhagen • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
54.9
Mads Bech Sørensen
FC Midtjylland • 27 years old
€5.2M
€6.0M
+15.6%
Expected: €5.7M
54.8
Prince Amoako Junior
FC Nordsjaelland • 19 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
54.5
Aaron Boupendza
FC Rapid 1923 • 30 years old
€8.4M
€6.5M
-22.6%
Expected: €4.3M
54.3
Dominik Kotarski
FC Copenhagen • 26 years old
€4.3M
€5.0M
+15.6%
Expected: €4.9M
53.2
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
Louis Munteanu
CFR Cluj • 24 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.1
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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 Players (All Positions). Identify undervalued assets and track market momentum across 49 clubs with €910.3M 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 (367 players, 39% of market). The 27-29 age group holds the most value at €212.2M, averaging €1.0M per player.
Top Players (All Positions) by Age Bracket
U21 Years (72 players)
21-23 Years (129 players)
24-26 Years (179 players)
27-29 Years (206 players)
Market Value Distribution
Elite Tier Concentration
The top 96 Players (All Positions) (10% of players) control €422.7M
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 47 Players (All Positions) worth €126.5M (averaging €2.7M per player). The top 10 clubs account for 40% of tracked Players (All Positions).
FC Midtjylland (47 Players (All Positions))
FC Copenhagen (41 Players (All Positions))
FC Nordsjaelland (46 Players (All Positions))
CFR Cluj (29 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 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 | Aral Şimşir FC Midtjylland | 24 | 24-26 | €10.0M | €700K | 14.29× |
| #6 | Ousmane Diao FC Midtjylland | 22 | 21-23 | €8.0M | €650K | 12.31× |
| #7 | Mohamed Touré Randers FC | 22 | 21-23 | €8.0M | €650K | 12.31× |
| #8 | Prince Amoako Junior FC Nordsjaelland | 19 | U21 | €7.0M | €600K | 11.67× |
| #9 | Denil Castillo FC Midtjylland | 22 | 21-23 | €7.0M | €650K | 10.77× |
| #10 | Oliver Sørensen FC Midtjylland | 24 | 24-26 | €6.5M | €700K | 9.29× |
| #11 | Kristian Arnstad Aarhus GF | 22 | 21-23 | €6.0M | €650K | 9.23× |
| #12 | Rodrigo Huescas FC Copenhagen | 22 | 21-23 | €6.0M | €650K | 9.23× |
| #13 | Thomas Jørgensen Viborg FF | 20 | U21 | €5.0M | €600K | 8.33× |
| #14 | Youssoufa Moukoko FC Copenhagen | 21 | 21-23 | €5.0M | €650K | 7.69× |
| #15 | Ștefan Baiaram Universitatea Craiova | 23 | 21-23 | €5.0M | €650K | 7.69× |
| #16 | Juho Lähteenmäki FC Nordsjaelland | 20 | U21 | €4.5M | €600K | 7.50× |
| #17 | Louis Munteanu CFR Cluj | 24 | 24-26 | €5.0M | €700K | 7.14× |
| #18 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €650K | 6.92× |
| #19 | Jacob Ambæk Bröndby IF | 18 | U21 | €4.0M | €600K | 6.67× |
| #20 | Viktor Dadason FC Copenhagen | 18 | U21 | €4.0M | €600K | 6.67× |
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 | William Glindtvad FC Copenhagen | 19 | 7 | €400K | €769K | +48% |
| #9 | Markus Walker FC Nordsjaelland | 19 | 7 | €400K | €769K | +48% |
| #10 | Kenay Myrie FC Copenhagen | 19 | 7 | €900K | €1.7M | +48% |
| #11 | Narcis Ilaș FC Botosani | 19 | 7 | €400K | €769K | +48% |
| #12 | Aske Andrésen Silkeborg IF | 21 | 5 | €250K | €480K | +48% |
| #13 | Gavin Beavers Bröndby IF | 21 | 5 | €400K | €769K | +48% |
| #14 | William Lykke FC Nordsjaelland | 21 | 5 | €500K | €961K | +48% |
| #15 | Ștefan Lefter FC Universitatea Cluj | 21 | 5 | €500K | €961K | +48% |
| #16 | Geovanni Vianney Ndjee FC Copenhagen | 18 | 8 | €350K | €625K | +44% |
| #17 | Alexandru Stoian FCSB | 18 | 8 | €550K | €983K | +44% |
| #18 | Sofus Johannesen FC Midtjylland | 19 | 7 | €550K | €983K | +44% |
| #19 | William Martin Odense Boldklub | 19 | 7 | €750K | €1.3M | +44% |
| #20 | Alamara Djabi FC Midtjylland | 19 | 7 | €200K | €357K | +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: 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)
FC Copenhagen's Nicolai Jörgensen in the 30+ age bracket has the highest Age-Share Concentration at +-16.5%. That means Kurt Zouma captures 22.0% of total market value while representing only 38.5% of players in their age group-showing dominant elite status.
In second is Odense Boldklub's Izunna Uzochukwu with a +-16.5% ASC (22.0% value share vs 38.5% player share in 30+ bracket). Third is Kasper Kusk of Silkeborg IF with a +-16.5% ASC (22.0% value vs 38.5% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-16.5% ASC means the player captures -16.5% 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 | Nicolai Jörgensen FC Copenhagen | 30+ | 22.0% | 38.5% | -16.5% |
| #2 | Izunna Uzochukwu Odense Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #3 | Kasper Kusk Silkeborg IF | 30+ | 22.0% | 38.5% | -16.5% |
| #4 | Mathias Wichmann Viborg FF | 30+ | 22.0% | 38.5% | -16.5% |
| #5 | Matthias Maak Sönderjyske Fodbold | 30+ | 22.0% | 38.5% | -16.5% |
| #6 | Troels Klöve Odense Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #7 | Fredrik Berge Bröndby IF | 30+ | 22.0% | 38.5% | -16.5% |
| #8 | Mos Odense Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #9 | Mike Grella Viborg FF | 30+ | 22.0% | 38.5% | -16.5% |
| #10 | Christian Sørensen Vejle Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #11 | Mathias Kristensen Lyngby Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #12 | Marcel Rømer Lyngby Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #13 | Dmytro Pospelov UTA Arad | 30+ | 22.0% | 38.5% | -16.5% |
| #14 | Ricardo Bueno FC Nordsjaelland | 30+ | 22.0% | 38.5% | -16.5% |
| #15 | Ján Gregus FC Copenhagen | 30+ | 22.0% | 38.5% | -16.5% |
| #16 | Jörgen Skjelvik Odense Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #17 | Viktor Claesson FC Copenhagen | 30+ | 22.0% | 38.5% | -16.5% |
| #18 | Adam Kwarasey Bröndby IF | 30+ | 22.0% | 38.5% | -16.5% |
| #19 | Pavol Bajza Vejle Boldklub | 30+ | 22.0% | 38.5% | -16.5% |
| #20 | Vlad Chiricheș FCSB | 30+ | 22.0% | 38.5% | -16.5% |
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, 72 standard acquisitions, 127 watch-list prospects, 319 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
BUY NOW - Medium Upside
PEAK Players
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 €325K. 0 undervalued, 147 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Ben Godfrey Bröndby IF | €5.0M | €450K | -1.00 | Good Value |
Darío Osorio FC Midtjylland | €15.0M | €450K | -1.00 | Good Value |
Daniel Dumbravanu CFR Cluj | €200K | €450K | -0.75 | Good Value |
Nils Mortimer Viborg FF | €200K | €450K | -0.75 | Good Value |
Ísak Óli Ólafsson Sönderjyske Fodbold | €200K | €450K | -0.75 | Good Value |
Patriot Sejdiu UTA Arad | €200K | €450K | -0.75 | Good Value |
Fabinho FCV Farul Constanta | €200K | €450K | -0.75 | Good Value |
Brandon Pierrick Vejle Boldklub | €200K | €450K | -0.75 | Good Value |
Ivan Djantou Sönderjyske Fodbold | €250K | €450K | -0.67 | Good Value |
Joachim Rothmann FC Nordsjaelland | €250K | €450K | -0.67 | Good Value |
Christ Kouadio FC Metaloglobus Bucharest | €250K | €450K | -0.67 | Good Value |
Simon Baekgaard Esbjerg fB | €250K | €450K | -0.67 | Good Value |
Martin Sjølstad Randers FC | €250K | €450K | -0.67 | Good Value |
Marko Gjorgjievski CFR Cluj | €250K | €450K | -0.67 | Good Value |
Adama Fofana Vejle Boldklub | €250K | €450K | -0.67 | Good Value |
Marcus Hannesbo AC Horsens | €250K | €450K | -0.67 | Good Value |
Aboubacar Camara FC Metaloglobus Bucharest | €250K | €450K | -0.67 | Good Value |
Dominik Kotarski FC Copenhagen | €5.0M | €450K | -0.67 | Good Value |
Louis Munteanu CFR Cluj | €5.0M | €450K | -0.67 | Good Value |
Jeppe Gertsen Silkeborg IF | €200K | €450K | -0.63 | Good Value |
Market Overview: Superliga Players (All Positions) 2025-26
Our database tracks 953 Superliga Players (All Positions) in the 2025-26 season, representing 49 clubs with a combined market value of €910.3M. The average market value for Superliga Players (All Positions) is €955K, 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 Jacob Ambæk (18 years, Bröndby IF, €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 273 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 in the 2025-26 season.
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) in the 2025-26 season
Who are the most valuable Players (All Positions) in the Superliga in 2025-26?
The most valuable player in the Superliga in 2025-26 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 953 Superliga Players (All Positions) with comprehensive market valuations updated for the 2025-26 season.
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 for the 2025-26 season to ensure accuracy for recruitment and investment decisions.