Best Attacking Midfielders in the Superliga (Oct 2026)
66 players tracked across 31 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.
Darius Olaru
FCSB • 28 years old
€4.8M
€4.5M
-5.4%
Expected: €3.8M
50.3
Oscar Schwartau
Bröndby IF • 20 years old
€3.0M
€3.5M
+15.6%
Expected: €3.9M
46.7
Alexandru Cicâldău
Universitatea Craiova • 29 years old
€3.2M
€2.5M
-22.6%
Expected: €2.0M
39.4
Callum McCowatt
Silkeborg IF • 27 years old
€2.2M
€2.5M
+15.6%
Expected: €2.4M
39.2
Mads Frøkjær
Bröndby IF • 27 years old
€2.2M
€2.5M
+15.6%
Expected: €2.4M
39.2
Tobias Christensen
FC Rapid 1923 • 26 years old
€2.0M
€2.3M
+15.6%
38.7
Florin Tănase
FCSB • 31 years old
€2.3M
€1.8M
-22.6%
35.6
Fiete Arp
Odense Boldklub • 26 years old
€1.5M
€1.7M
+15.6%
34.9
Younes Bakiz
Silkeborg IF • 27 years old
€1.3M
€1.5M
+15.6%
32.9
Zidan Sertdemir
FC Nordsjaelland • 21 years old
€1.0M
€1.2M
+15.6%
30.2
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Sign up freeDarius Olaru
FCSB · 28 years old
50.3
ASI
Current Value
€4.5M
% Change
-5.4%
1yr Forecast Range
€3.3M - €4.3M
Oscar Schwartau
Bröndby IF · 20 years old
46.7
ASI
Current Value
€3.5M
% Change
+15.6%
1yr Forecast Range
€3.3M - €4.4M
Alexandru Cicâldău
Universitatea Craiova · 29 years old
39.4
ASI
Current Value
€2.5M
% Change
-22.6%
1yr Forecast Range
€1.7M - €2.2M
Callum McCowatt
Silkeborg IF · 27 years old
39.2
ASI
Current Value
€2.5M
% Change
+15.6%
1yr Forecast Range
€2.1M - €2.7M
Mads Frøkjær
Bröndby IF · 27 years old
39.2
ASI
Current Value
€2.5M
% Change
+15.6%
1yr Forecast Range
€2.1M - €2.7M
Tobias Christensen
FC Rapid 1923 · 26 years old
38.7
ASI
Current Value
€2.3M
% Change
+15.6%
1yr Forecast Range
Florin Tănase
FCSB · 31 years old
35.6
ASI
Current Value
€1.8M
% Change
-22.6%
1yr Forecast Range
Fiete Arp
Odense Boldklub · 26 years old
34.9
ASI
Current Value
€1.7M
% Change
+15.6%
1yr Forecast Range
Younes Bakiz
Silkeborg IF · 27 years old
32.9
ASI
Current Value
€1.5M
% Change
+15.6%
1yr Forecast Range
Zidan Sertdemir
FC Nordsjaelland · 21 years old
30.2
ASI
Current Value
€1.2M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: Superliga Attacking Midfielders (updated October 2026)
Our database tracks 66 Superliga Attacking Midfielders as of October 2026, representing 31 clubs with a combined market value of €43.8M. The average market value for Superliga Attacking Midfielders is €664K, with the average age at 28 years old.
The most valuable attacking midfielder in the Superliga is Darius Olaru, worth €4.5M and playing for FCSB at 28 years old. The top 5 Attacking Midfielders average €3.1M in market value, including Oscar Schwartau and Alexandru Cicâldău.
Age distribution shows the youngest tracked attacking midfielder is Denis Țăroi (18 years, UTA Arad, €300K), while the oldest is Rawez Lawan (39 years, FC Nordsjaelland, €150K). Research shows Attacking Midfielders typically peak at age 27.
Our 1-year forecast model projects 18 Attacking Midfielders (27%) 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 Attacking 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 31 clubs with €43.8M combined value.
Age Distribution: Superliga Attacking Midfielders
The Superliga CAM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (29 players, 44% of market). The 27-29 age group holds the most value at €16.1M, averaging €1.3M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (5 players)
21-23 Years (6 players)
24-26 Years (14 players)
27-29 Years (12 players)
Market Value Distribution
Elite Tier Concentration
The top 7 Attacking Midfielders (11% of players) control €19.6M
Market Tiers
Market structure shows concentrated value with emerging (<€5m) tier representing 100% of the Superliga CAM pool.
Emerging (<€5M)
Club Distribution: Superliga Attacking Midfielders
Among 31 Superliga clubs, Bröndby IF leads with 5 Attacking Midfielders worth €6.8M (averaging €1.4M per player). The top 10 clubs account for 48% of tracked Attacking Midfielders.
Bröndby IF (5 Attacking Midfielders)
FCSB (2 Attacking Midfielders)
Silkeborg IF (3 Attacking Midfielders)
Odense Boldklub (4 Attacking 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 Zidan Sertdemir at 21 years old has the highest Pre-Peak Value Efficiency at 4.80×. That means Zidan Sertdemir is valued 4.80× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Bröndby IF's Oscar Schwartau, who is 20 years old, with a 4.67× PPVE. Third is Eduard Radaslavescu of FCV Farul Constanta, who is 22 years old with a 2.60× 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 4.80× means the player is worth 380% 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 | Zidan Sertdemir FC Nordsjaelland | 21 | 21-23 | €1.2M | €250K | 4.80x |
| #2 | Oscar Schwartau Bröndby IF | 20 | U21 | €3.5M | €750K | 4.67x |
| #3 | Eduard Radaslavescu FCV Farul Constanta | 22 | 21-23 | €650K | €250K | 2.60x |
| #4 | Jasurbek Jaloliddinov Sogdiana Jizzakh | 24 | 24-26 | €600K | €450K | 1.33x |
| #5 | Rami Al Hajj Silkeborg IF | 25 | 24-26 | €500K | €450K | 1.11x |
| #6 | José Gallegos Sönderjyske Fodbold | 25 | 24-26 | €500K | €450K | 1.11x |
| #7 | Mike Themsen Randers FC | 20 | U21 | €800K | €750K | 1.07x |
| #8 | Patrick Dulcea AFC Unirea 04 Slobozia | 21 | 21-23 | €250K | €250K | 1.00x |
| #9 | William Martin Odense Boldklub | 19 | U21 | €750K | €750K | 1.00x |
| #10 | William Madsen FC Fredericia | 24 | 24-26 | €450K | €450K | 1.00x |
| #11 | Bertram Kvist Bröndby IF | 21 | 21-23 | €200K | €250K | 0.80x |
| #12 | Szabolcs Dusinszki FK Csikszereda Miercurea Ciuc | 21 | 21-23 | €200K | €250K | 0.80x |
| #13 | Ervin Bakos FK Csikszereda Miercurea Ciuc | 22 | 21-23 | €200K | €250K | 0.80x |
| #14 | Efraim Bödő FK Csikszereda Miercurea Ciuc | 19 | U21 | €450K | €750K | 0.60x |
| #15 | Ștefan Pănoiu FC Botosani | 24 | 24-26 | €250K | €450K | 0.56x |
| #16 | Moses Abbey FC Metaloglobus Bucharest | 24 | 24-26 | €200K | €450K | 0.44x |
| #17 | Denis Țăroi UTA Arad | 18 | U21 | €300K | €750K | 0.40x |
| #18 | Gustavo Cabral FK Csikszereda Miercurea Ciuc | 25 | 24-26 | €150K | €450K | 0.33x |
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 Attacking 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 Attacking Midfielders.
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
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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 Attacking 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 Attacking 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 Attacking Midfielders.
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How We Rank Superliga Attacking Midfielders
Our Analytical Strength Index is calibrated specifically for attacking 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 CAM
Historical Achievement Index (35%)
Peak career market value for Superliga attacking 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 attacking 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.
CAM 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 attacking 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 Attacking Midfielders, updated October 2026
Who are the most valuable Attacking Midfielders in the Superliga right now?
The most valuable attacking midfielder in the Superliga today is Darius Olaru, who is worth €4.5M and plays for FCSB. The second most valuable is Oscar Schwartau (€3.5M, Bröndby IF), followed by Alexandru Cicâldău (€2.5M, Universitatea Craiova). Our database tracks 66 Superliga Attacking Midfielders with comprehensive market valuations updated in October 2026.
How are Superliga Attacking Midfielders ranked?
Superliga Attacking Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Attacking 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 Attacking Midfielders peak?
Attacking midfielders typically peak at age 27, in line with other midfielders. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, and steeper from 30. This position demands high technical ability, creativity, and burst acceleration. The optimal playing time is around 2,400 minutes per season.
How much does it cost to sign a top attacking midfielder from the Superliga?
Transfer fees for Superliga Attacking Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked attacking midfielder Darius Olaru (market value: €4.5M), estimated transfer fees would range from €3.6M to €6.3M 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 Attacking Midfielders?
Our 1-year forecast model projects market value changes for Superliga Attacking 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 attacking midfielder data come from?
Our Superliga attacking 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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