Best Midfielders in the Superliga (Oct 2026)
168 players tracked across 39 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.
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 • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
51.6
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%
48.7
Pedro Bravo
FC Midtjylland • 21 years old
€3.0M
€3.5M
+15.6%
47.1
Cătălin Cîrjan
FC Dinamo 1948 • 23 years old
€2.6M
€3.0M
+15.6%
42.5
Pelle Mattsson
Silkeborg IF • 25 years old
€2.6M
€3.0M
+15.6%
42.4
Magnus Knudsen
Aarhus GF • 25 years old
€2.6M
€3.0M
+15.6%
42.4
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Sign up freeCaleb Yirenkyi
FC Nordsjaelland · 20 years old
59.8
ASI
Current Value
€10.0M
% Change
+15.6%
1yr Forecast Range
€9.4M - €12.7M
Denil Castillo
FC Midtjylland · 22 years old
56.2
ASI
Current Value
€7.0M
% Change
+15.6%
1yr Forecast Range
€6.2M - €8.0M
Oliver Sørensen
FC Midtjylland · 24 years old
56.1
ASI
Current Value
€6.5M
% Change
+15.6%
1yr Forecast Range
€5.8M - €7.5M
Thomas Jørgensen
Viborg FF · 21 years old
51.6
ASI
Current Value
€5.0M
% Change
+15.6%
1yr Forecast Range
€4.3M - €5.8M
Benjamin Tahirović
Bröndby IF · 23 years old
51.1
ASI
Current Value
€4.5M
% Change
+15.6%
1yr Forecast Range
€3.8M - €4.9M
Magnus Mattsson
FC Copenhagen · 27 years old
48.7
ASI
Current Value
€4.0M
% Change
+15.6%
1yr Forecast Range
Pedro Bravo
FC Midtjylland · 21 years old
47.1
ASI
Current Value
€3.5M
% Change
+15.6%
1yr Forecast Range
Cătălin Cîrjan
FC Dinamo 1948 · 23 years old
42.5
ASI
Current Value
€3.0M
% Change
+15.6%
1yr Forecast Range
Pelle Mattsson
Silkeborg IF · 25 years old
42.4
ASI
Current Value
€3.0M
% Change
+15.6%
1yr Forecast Range
Magnus Knudsen
Aarhus GF · 25 years old
42.4
ASI
Current Value
€3.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Superliga Midfielders (updated October 2026)
Our database tracks 168 Superliga Midfielders as of October 2026, representing 39 clubs with a combined market value of €134.6M. The average market value for Superliga Midfielders is €801K, with the average age at 28 years old.
The most valuable midfielder in the Superliga is Caleb Yirenkyi, worth €10.0M and playing for FC Nordsjaelland at 20 years old. The top 5 Midfielders average €6.6M in market value, including Denil Castillo and Oliver Sørensen.
Age distribution shows the youngest tracked midfielder is Lamine Sadio (18 years, FC Nordsjaelland, €850K), while the oldest is Kasper Lorentzen (40 years, FC Nordsjaelland, €400K). Research shows Midfielders typically peak at age 27.
Our 1-year forecast model projects 44 Midfielders (26%) 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 Midfielders 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 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 (76 players, 45% of market). The 21-23 age group holds the most value at €45.8M, averaging €1.4M per player.
Top Midfielders by Age Bracket
U21 Years (14 players)
21-23 Years (33 players)
24-26 Years (26 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 Oliver Sørensen of FC Midtjylland, who is 24 years old with a 7.22× 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 | 18.18x |
| #2 | Denil Castillo FC Midtjylland | 22 | 21-23 | €7.0M | €750K | 9.33x |
| #3 | Oliver Sørensen FC Midtjylland | 24 | 24-26 | €6.5M | €900K | 7.22x |
| #4 | Thomas Jørgensen Viborg FF | 21 | 21-23 | €5.0M | €750K | 6.67x |
| #5 | Benjamin Tahirović Bröndby IF | 23 | 21-23 | €4.5M | €750K | 6.00x |
| #6 | Pedro Bravo FC Midtjylland | 21 | 21-23 | €3.5M | €750K | 4.67x |
| #7 | Cătălin Cîrjan FC Dinamo 1948 | 23 | 21-23 | €3.0M | €750K | 4.00x |
| #8 | Pelle Mattsson Silkeborg IF | 25 | 24-26 | €3.0M | €900K | 3.33x |
| #9 | Magnus Knudsen Aarhus GF | 25 | 24-26 | €3.0M | €900K | 3.33x |
| #10 | David Matei Universitatea Craiova | 20 | U21 | €1.7M | €550K | 3.09x |
| #11 | Valdemar Byskov FC Midtjylland | 21 | 21-23 | €2.2M | €750K | 2.93x |
| #12 | Max Ejdum Odense Boldklub | 21 | 21-23 | €2.0M | €750K | 2.67x |
| #13 | Lindon Emërllahu CFR Cluj | 23 | 21-23 | €2.0M | €750K | 2.67x |
| #14 | Mads Søndergaard Viborg FF | 23 | 21-23 | €1.5M | €750K | 2.00x |
| #15 | Casper Winther Lyngby Boldklub | 23 | 21-23 | €1.5M | €750K | 2.00x |
| #16 | Lauge Sandgrav Lyngby Boldklub | 22 | 21-23 | €1.5M | €750K | 2.00x |
| #17 | Mads Freundlich Silkeborg IF | 23 | 21-23 | €1.5M | €750K | 2.00x |
| #18 | Laurits Pedersen Randers FC | 20 | U21 | €1.0M | €550K | 1.82x |
| #19 | Constantin Grameni FC Rapid 1923 | 23 | 21-23 | €1.3M | €750K | 1.73x |
| #20 | Mads Larsen Silkeborg IF | 25 | 24-26 | €1.5M | €900K | 1.67x |
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 Midfielders.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Superliga Midfielders.
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 Midfielders.
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 Midfielders.
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 Midfielders.
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 Midfielders.
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 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, updated October 2026
Who are the most valuable Midfielders in the Superliga right now?
The most valuable midfielder in the Superliga today 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 in October 2026.
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 (last update October 2026) to ensure accuracy for recruitment and investment decisions.
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