Best Midfielders in the Superliga (Aug 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.
Caleb Yirenkyi
FC Nordsjaelland • 20 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
59.8
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
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
Magnus Mattsson
FC Copenhagen • 27 years old
€3.5M
€4.0M
+15.6%
Expected: €3.8M
48.7
Pedro Bravo
FC Midtjylland • 21 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.1
Cătălin Cîrjan
FC Dinamo 1948 • 23 years old
€2.6M
€3.0M
+15.6%
Expected: €2.9M
42.5
Pelle Mattsson
Silkeborg IF • 25 years old
€2.6M
€3.0M
+15.6%
Expected: €3.1M
42.4
Magnus Knudsen
Aarhus GF • 25 years old
€2.6M
€3.0M
+15.6%
Expected: €3.1M
42.4
Dani Silva
FC Midtjylland • 26 years old
€2.2M
€2.5M
+15.6%
Expected: €2.4M
39.7
Kristoffer Olsson
FC Midtjylland • 31 years old
€3.2M
€2.5M
-22.6%
Expected: €1.7M
39.7
Mads Emil Madsen
Aarhus GF • 28 years old
€2.6M
€2.5M
-5.4%
Expected: €2.1M
39.3
Valdemar Byskov
FC Midtjylland • 21 years old
€1.9M
€2.2M
+15.6%
Expected: €2.2M
37.8
Lindon Emërllahu
CFR Cluj • 23 years old
€1.7M
€2.0M
+15.6%
Expected: €1.9M
37.4
Max Ejdum
Odense Boldklub • 21 years old
€1.7M
€2.0M
+15.6%
Expected: €2.0M
36.6
Nicklas Røjkjær
FC Nordsjaelland • 28 years old
€2.1M
€2.0M
-5.4%
Expected: €1.7M
36.6
John Björkengren
Randers FC • 27 years old
€1.7M
€2.0M
+15.6%
Expected: €1.9M
36.5
Mads Larsen
Silkeborg IF • 24 years old
€1.3M
€1.5M
+15.6%
Expected: €1.5M
34.3
David Matei
Universitatea Craiova • 20 years old
€1.5M
€1.7M
+15.6%
Expected: €1.9M
34.1
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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 Midfielders. Identify undervalued assets and track market momentum across 39 clubs with €134.6M combined value.
Age Distribution: Superliga Midfielders
The Superliga CM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (75 players, 45% of market). The 21-23 age group holds the most value at €40.2M, averaging €1.3M per player.
Top Midfielders by Age Bracket
U21 Years (16 players)
21-23 Years (31 players)
24-26 Years (27 players)
27-29 Years (19 players)
Market Value Distribution
Elite Tier Concentration
The top 17 Midfielders (10% of players) control €65.2M
Market Tiers
Market structure shows distributed value with mid (€5-15m) tier representing 2% of the Superliga CM pool.
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Midfielders
Among 39 Superliga clubs, FC Midtjylland leads with 11 Midfielders worth €26.5M (averaging €2.4M per player). The top 10 clubs account for 54% of tracked Midfielders.
FC Midtjylland (11 Midfielders)
FC Nordsjaelland (8 Midfielders)
Silkeborg IF (14 Midfielders)
Viborg FF (9 Midfielders)
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 Nordsjaelland's Caleb Yirenkyi at 20 years old has the highest Pre-Peak Value Efficiency at 18.18×. That means Caleb Yirenkyi is valued 18.18× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is FC Midtjylland's Denil Castillo, who is 22 years old, with a 9.33× PPVE. Third is Thomas Jørgensen of Viborg FF, who is 20 years old with a 9.09× 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 18.18× means the player is worth 1718% 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 | Caleb Yirenkyi FC Nordsjaelland | 20 | U21 | €10.0M | €550K | 18.18× |
| #2 | Denil Castillo FC Midtjylland | 22 | 21-23 | €7.0M | €750K | 9.33× |
| #3 | Thomas Jørgensen Viborg FF | 20 | U21 | €5.0M | €550K | 9.09× |
| #4 | Oliver Sørensen FC Midtjylland | 24 | 24-26 | €6.5M | €850K | 7.65× |
| #5 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €750K | 6.00× |
| #6 | Pedro Bravo FC Midtjylland | 21 | 21-23 | €3.5M | €750K | 4.67× |
| #7 | Cătălin Cîrjan FC Dinamo 1948 | 23 | 21-23 | €3.0M | €750K | 4.00× |
| #8 | Pelle Mattsson Silkeborg IF | 25 | 24-26 | €3.0M | €850K | 3.53× |
| #9 | Magnus Knudsen Aarhus GF | 25 | 24-26 | €3.0M | €850K | 3.53× |
| #10 | David Matei Universitatea Craiova | 20 | U21 | €1.7M | €550K | 3.09× |
| #11 | Valdemar Byskov FC Midtjylland | 21 | 21-23 | €2.2M | €750K | 2.93× |
| #12 | Max Ejdum Odense Boldklub | 21 | 21-23 | €2.0M | €750K | 2.67× |
| #13 | Lindon Emërllahu CFR Cluj | 23 | 21-23 | €2.0M | €750K | 2.67× |
| #14 | Mads Søndergaard Viborg FF | 23 | 21-23 | €1.5M | €750K | 2.00× |
| #15 | Casper Winther Lyngby Boldklub | 23 | 21-23 | €1.5M | €750K | 2.00× |
| #16 | Lauge Sandgrav Lyngby Boldklub | 21 | 21-23 | €1.5M | €750K | 2.00× |
| #17 | Mads Freundlich Silkeborg IF | 23 | 21-23 | €1.5M | €750K | 2.00× |
| #18 | Laurits Pedersen Randers FC | 20 | U21 | €1.0M | €550K | 1.82× |
| #19 | Mads Larsen Silkeborg IF | 24 | 24-26 | €1.5M | €850K | 1.76× |
| #20 | Constantin Grameni FC Rapid 1923 | 23 | 21-23 | €1.3M | €750K | 1.73× |
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)
FC Nordsjaelland's Lamine Sadio at 18 years old has the highest Return-to-Peak Potential at +48%. That means Lamine Sadio is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is FC Universitatea Cluj's Alexandru Bota, who is 18 years old, with a +48% RPP (8 years to peak). Third is Sofus Johannesen of FC Midtjylland, who is 19 years old with a +44% RPP (7 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 48% RPP means the player is expected to gain 48% 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 | Lamine Sadio FC Nordsjaelland | 18 | 8 | €850K | €1.6M | +48% |
| #2 | Alexandru Bota FC Universitatea Cluj | 18 | 8 | €150K | €288K | +48% |
| #3 | Sofus Johannesen FC Midtjylland | 19 | 7 | €550K | €983K | +44% |
| #4 | Alamara Djabi FC Midtjylland | 19 | 7 | €200K | €357K | +44% |
| #5 | William Kirk Silkeborg IF | 19 | 7 | €500K | €894K | +44% |
| #6 | Hunor Németh FC Copenhagen | 19 | 7 | €500K | €894K | +44% |
| #7 | Valdemar Møller Aalborg BK | 19 | 7 | €300K | €536K | +44% |
| #8 | David Matei Universitatea Craiova | 20 | 6 | €1.7M | €2.8M | +40% |
| #9 | Julius Lorents Silkeborg IF | 20 | 6 | €700K | €1.2M | +40% |
| #10 | Alexandru Irimia FC Metaloglobus Bucharest | 20 | 6 | €125K | €208K | +40% |
| #11 | Mohamed Cherif Haidara Sönderjyske Fodbold | 20 | 6 | €600K | €997K | +40% |
| #12 | Adam Claridge Bröndby IF | 20 | 6 | €300K | €499K | +40% |
| #13 | Laurits Pedersen Randers FC | 20 | 6 | €1.0M | €1.7M | +40% |
| #14 | Caleb Yirenkyi FC Nordsjaelland | 20 | 6 | €10.0M | €16.6M | +40% |
| #15 | Thomas Jørgensen Viborg FF | 20 | 6 | €5.0M | €8.3M | +40% |
| #16 | Jonatan Lindekilde FC Fredericia | 20 | 6 | €550K | €914K | +40% |
| #17 | Lauge Sandgrav Lyngby Boldklub | 21 | 5 | €1.5M | €2.3M | +35% |
| #18 | Mathias Jensen Bröndby IF | 21 | 5 | €750K | €1.2M | +35% |
| #19 | Jakob Vester Viborg FF | 21 | 5 | €700K | €1.1M | +35% |
| #20 | Oskar Boesen Silkeborg IF | 21 | 5 | €500K | €773K | +35% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Silkeborg IF's Julius Lorents has the highest Risk-Adjusted Upside at 31.1. That means Julius Lorents has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Silkeborg IF's William Kirk with a 31.1 RAU (10% upside, 0% uncertainty). Third is Alexandru Irimia of FC Metaloglobus Bucharest with a 31.1 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 31.1 means the upside is 31.1× 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 | Julius Lorents Silkeborg IF | €772K | €656K-887K | +10% | 31.1 |
| #2 | William Kirk Silkeborg IF | €551K | €469K-634K | +10% | 31.1 |
| #3 | Alexandru Irimia FC Metaloglobus Bucharest | €138K | €117K-158K | +10% | 31.1 |
| #4 | Hunor Németh FC Copenhagen | €551K | €469K-634K | +10% | 31.1 |
| #5 | Caleb Yirenkyi FC Nordsjaelland | €11.0M | €9.4M-12.7M | +10% | 31.1 |
| #6 | Laurits Pedersen Randers FC | €1.1M | €938K-1.3M | +10% | 31.1 |
| #7 | Thomas Jørgensen Viborg FF | €5.5M | €4.7M-6.3M | +10% | 31.1 |
| #8 | David Matei Universitatea Craiova | €1.9M | €1.6M-2.2M | +10% | 31.1 |
| #9 | Alexandru Bota FC Universitatea Cluj | €165K | €141K-190K | +10% | 31.1 |
| #10 | Lamine Sadio FC Nordsjaelland | €937K | €797K-1.1M | +10% | 31.1 |
| #11 | Valdemar Møller Aalborg BK | €331K | €281K-380K | +10% | 31.1 |
| #12 | Mohamed Cherif Haidara Sönderjyske Fodbold | €662K | €563K-760K | +10% | 31.1 |
| #13 | Adam Claridge Bröndby IF | €331K | €281K-380K | +10% | 31.1 |
| #14 | Alamara Djabi FC Midtjylland | €221K | €188K-253K | +10% | 31.1 |
| #15 | Sofus Johannesen FC Midtjylland | €606K | €516K-697K | +10% | 31.1 |
| #16 | Jonatan Lindekilde FC Fredericia | €606K | €516K-697K | +10% | 31.1 |
| #17 | Jeppe Pedersen Aalborg BK | €307K | €267K-347K | +2% | 9.1 |
| #18 | Magnus Anbo Aarhus GF | €154K | €134K-174K | +2% | 9.1 |
| #19 | Richard Odada UTA Arad | €307K | €267K-347K | +2% | 9.1 |
| #20 | Oliver Sørensen FC Midtjylland | €6.7M | €5.8M-7.5M | +2% | 9.1 |
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: midfielder 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)
Odense Boldklub's Troels Klöve in the 30+ age bracket has the highest Age-Share Concentration at +-23.7%. That means Kristoffer Olsson captures 21.0% of total market value while representing only 44.6% of players in their age group-showing dominant elite status.
In second is Lyngby Boldklub's Marcel Rømer with a +-23.7% ASC (21.0% value share vs 44.6% player share in 30+ bracket). Third is Ján Gregus of FC Copenhagen with a +-23.7% ASC (21.0% value vs 44.6% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-23.7% ASC means the player captures -23.7% 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 | Troels Klöve Odense Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
| #2 | Marcel Rømer Lyngby Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
| #3 | Ján Gregus FC Copenhagen | 30+ | 21.0% | 44.6% | -23.7% |
| #4 | Mathias Schlie Hobro IK | 30+ | 21.0% | 44.6% | -23.7% |
| #5 | Jeff Mensah Viborg FF | 30+ | 21.0% | 44.6% | -23.7% |
| #6 | Vadim Rață ACSC FC Arges | 30+ | 21.0% | 44.6% | -23.7% |
| #7 | Mustafa Amini Aarhus GF | 30+ | 21.0% | 44.6% | -23.7% |
| #8 | Lucas Ohlander FC Helsingör | 30+ | 21.0% | 44.6% | -23.7% |
| #9 | Mads Aaquist Viborg FF | 30+ | 21.0% | 44.6% | -23.7% |
| #10 | Mads Pedersen FC Midtjylland | 30+ | 21.0% | 44.6% | -23.7% |
| #11 | Lasse Vigen Silkeborg IF | 30+ | 21.0% | 44.6% | -23.7% |
| #12 | Max Power Aarhus GF | 30+ | 21.0% | 44.6% | -23.7% |
| #13 | Oscar Hiljemark Aalborg BK | 30+ | 21.0% | 44.6% | -23.7% |
| #14 | Marc Rochester Sörensen Silkeborg IF | 30+ | 21.0% | 44.6% | -23.7% |
| #15 | Juri Cisotti FCSB | 30+ | 21.0% | 44.6% | -23.7% |
| #16 | Andrew Hjulsager Vejle Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
| #17 | Nana Welbeck Odense Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
| #18 | Ayo Simon Okosun Odense Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
| #19 | Hamza Barry Vejle Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
| #20 | Aron Elís Thrándarson Odense Boldklub | 30+ | 21.0% | 44.6% | -23.7% |
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: 0 immediate targets, 16 standard acquisitions, 31 watch-list prospects, 43 at peak.
BUY NOW - High Upside
No players in this category
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 €225K. 0 undervalued, 21 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Alexandru Irimia FC Metaloglobus Bucharest | €125K | €350K | -1.06 | Good Value |
Alexandru Bota FC Universitatea Cluj | €150K | €350K | -1.00 | Good Value |
Thomas Jørgensen Viborg FF | €5.0M | €350K | -1.00 | Good Value |
Alamara Djabi FC Midtjylland | €200K | €350K | -0.88 | Good Value |
Valdemar Møller Aalborg BK | €300K | €350K | -0.63 | Good Value |
Adam Claridge Bröndby IF | €300K | €350K | -0.63 | Good Value |
Marinus Larsen Bröndby IF | €150K | €350K | -0.52 | Good Value |
Daniel Haarbo FC Fredericia | €150K | €350K | -0.52 | Good Value |
Magnus Isager AC Horsens | €150K | €350K | -0.52 | Good Value |
Jesper Christjansen Lyngby Boldklub | €125K | €350K | -0.50 | Fair Value |
Magnus Munck FC Nordsjaelland | €200K | €350K | -0.48 | Fair Value |
Marius Papuga Hvidovre IF | €200K | €350K | -0.48 | Fair Value |
Gabriel David FC Botosani | €250K | €350K | -0.43 | Fair Value |
Mathias Schlie Hobro IK | €150K | €350K | -0.40 | Fair Value |
Mads Aaquist Viborg FF | €150K | €350K | -0.40 | Fair Value |
Marc Rochester Sörensen Silkeborg IF | €150K | €350K | -0.40 | Fair Value |
Jeppe Illum Vendsyssel FF | €150K | €350K | -0.40 | Fair Value |
Andreas Blomqvist Aalborg BK | €150K | €350K | -0.40 | Fair Value |
Christian Rye Aalborg BK | €150K | €350K | -0.40 | Fair Value |
Mathias Thrane Odense Boldklub | €150K | €350K | -0.40 | Fair Value |
Market Overview: Superliga Midfielders 2023-24
Our database tracked 168 Superliga Midfielders in the 2023-24 season, representing 39 clubs with a combined market value of €134.6M. The average market value for Superliga Midfielders was €801K, with the average age at 28 years old.
The most valuable midfielder in the Superliga was Caleb Yirenkyi, worth €10.0M and played for FC Nordsjaelland at 20 years old. The top 5 Midfielders averaged €6.6M in market value, including Denil Castillo and Oliver Sørensen.
Age distribution showed the youngest tracked midfielder was Lamine Sadio (18 years, FC Nordsjaelland, €850K), while the oldest was Kasper Lorentzen (40 years, FC Nordsjaelland, €400K). Research shows Midfielders typically peak at age 27.
Historical analysis showed 47 Midfielders (28%) 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 Midfielders remained actively developing with emerging talent in the 2023-24 season.
How We Rank Superliga Midfielders
Our Analytical Strength Index is calibrated specifically for midfielders, 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 CM
Historical Achievement Index (35%)
Peak career market value for Superliga midfielders, 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 midfielders, 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.
CM 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 midfielders
• 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 Midfielders in the 2023-24 season
Who are the most valuable Midfielders in the Superliga in 2023-24?
The most valuable midfielder in the Superliga in 2023-24 is Caleb Yirenkyi, who is worth €10.0M and plays for FC Nordsjaelland. The second most valuable is Denil Castillo (€7.0M, FC Midtjylland), followed by Oliver Sørensen (€6.5M, FC Midtjylland). Our database tracks 168 Superliga Midfielders with comprehensive market valuations updated for the 2023-24 season.
How are Superliga Midfielders ranked?
Superliga Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Midfielders. 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 Midfielders peak?
Midfielders typically peak at age 27. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, -15% at 30, and steeper thereafter. Central midfielders require a blend of physicality, technical skill, and tactical awareness. The optimal playing time for peak performance is around 2,400-2,500 minutes per season.
How much does it cost to sign a top midfielder from the Superliga?
Transfer fees for Superliga Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked midfielder Caleb Yirenkyi (market value: €10.0M), estimated transfer fees would range from €8.0M to €14.0M 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 Midfielders?
Our 1-year forecast model projects market value changes for Superliga Midfielders 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 midfielder data come from?
Our Superliga midfielder 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 2023-24 season to ensure accuracy for recruitment and investment decisions.