Best U23 Young Attacking Midfielders in the Superliga
13 players aged 23 or under · ranked by Analytical Strength Index
Best Young Attacking Midfielders 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.
Oscar Schwartau
Bröndby IF • 20 years old
€3.0M
€3.5M
+15.6%
Expected: €3.9M
46.7
Zidan Sertdemir
FC Nordsjaelland • 21 years old
€1.0M
€1.2M
+15.6%
Expected: €1.2M
30.2
Mike Themsen
Randers FC • 20 years old
€692K
€800K
+15.6%
Expected: €882K
24.7
William Martin
Odense Boldklub • 19 years old
€649K
€750K
+15.6%
Expected: €827K
23.5
Eduard Radaslavescu
FCV Farul Constanta • 22 years old
€562K
€650K
+15.6%
Expected: €659K
23.0
Efraim Bödő
FK Csikszereda Miercurea Ciuc • 19 years old
€389K
€450K
+15.6%
Expected: €496K
17.2
Denis Țăroi
UTA Arad • 18 years old
€259K
€300K
+15.6%
Expected: €331K
11.7
Ștefan Pănoiu
FC Botosani • 23 years old
€216K
€250K
+15.6%
Expected: €243K
11.6
Patrick Dulcea
AFC Unirea 04 Slobozia • 21 years old
€216K
€250K
+15.6%
Expected: €254K
10.7
Ervin Bakos
FK Csikszereda Miercurea Ciuc • 22 years old
€173K
€200K
+15.6%
Expected: €203K
8.4
Szabolcs Dusinszki
FK Csikszereda Miercurea Ciuc • 21 years old
€173K
€200K
+15.6%
Expected: €203K
7.9
Bertram Kvist
Bröndby IF • 21 years old
€173K
€200K
+15.6%
Expected: €203K
7.9
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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 Young Attacking Midfielders. Identify undervalued assets and track market momentum across 9 clubs with €8.7M combined value.
Age Distribution: Superliga Young Attacking Midfielders
The Superliga CAM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (7 players, 58% of market). The U21 age group holds the most value at €5.8M, averaging €1.2M per player.
Top Young Attacking Midfielders by Age Bracket
U21 Years (5 players)
21-23 Years (7 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Young Attacking Midfielders (17% of players) control €4.7M
Market Tiers
Market structure shows concentrated value with emerging (<€5m) tier representing 100% of the Superliga CAM pool.
Emerging (<€5M)
Club Distribution: Superliga Young Attacking Midfielders
Among 9 Superliga clubs, Bröndby IF leads with 2 Young Attacking Midfielders worth €3.7M (averaging €1.9M per player). The top 10 clubs account for 100% of tracked Young Attacking Midfielders.
Bröndby IF (2 Young Attacking Midfielders)
FC Nordsjaelland (1 Young Attacking Midfielders)
FK Csikszereda Miercurea Ciuc (3 Young Attacking Midfielders)
Randers FC (1 Young 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 | 4.80× |
| #2 | Oscar Schwartau Bröndby IF | 20 | U21 | €3.5M | €750K | 4.67× |
| #3 | Eduard Radaslavescu FCV Farul Constanta | 22 | 21-23 | €650K | €250K | 2.60× |
| #4 | Mike Themsen Randers FC | 20 | U21 | €800K | €750K | 1.07× |
| #5 | Patrick Dulcea AFC Unirea 04 Slobozia | 21 | 21-23 | €250K | €250K | 1.00× |
| #6 | William Martin Odense Boldklub | 19 | U21 | €750K | €750K | 1.00× |
| #7 | Ștefan Pănoiu FC Botosani | 23 | 21-23 | €250K | €250K | 1.00× |
| #8 | Bertram Kvist Bröndby IF | 21 | 21-23 | €200K | €250K | 0.80× |
| #9 | Szabolcs Dusinszki FK Csikszereda Miercurea Ciuc | 21 | 21-23 | €200K | €250K | 0.80× |
| #10 | Ervin Bakos FK Csikszereda Miercurea Ciuc | 22 | 21-23 | €200K | €250K | 0.80× |
| #11 | Efraim Bödő FK Csikszereda Miercurea Ciuc | 19 | U21 | €450K | €750K | 0.60× |
| #12 | Denis Țăroi UTA Arad | 18 | U21 | €300K | €750K | 0.40× |
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)
UTA Arad's Denis Țăroi at 18 years old has the highest Return-to-Peak Potential at +48%. That means Denis Țăroi is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Odense Boldklub's William Martin, who is 19 years old, with a +44% RPP (7 years to peak). Third is Efraim Bödő of FK Csikszereda Miercurea Ciuc, 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 | Denis Țăroi UTA Arad | 18 | 8 | €300K | €576K | +48% |
| #2 | William Martin Odense Boldklub | 19 | 7 | €750K | €1.3M | +44% |
| #3 | Efraim Bödő FK Csikszereda Miercurea Ciuc | 19 | 7 | €450K | €804K | +44% |
| #4 | Mike Themsen Randers FC | 20 | 6 | €800K | €1.3M | +40% |
| #5 | Oscar Schwartau Bröndby IF | 20 | 6 | €3.5M | €5.8M | +40% |
| #6 | Patrick Dulcea AFC Unirea 04 Slobozia | 21 | 5 | €250K | €386K | +35% |
| #7 | Bertram Kvist Bröndby IF | 21 | 5 | €200K | €309K | +35% |
| #8 | Zidan Sertdemir FC Nordsjaelland | 21 | 5 | €1.2M | €1.9M | +35% |
| #9 | Szabolcs Dusinszki FK Csikszereda Miercurea Ciuc | 21 | 5 | €200K | €309K | +35% |
| #10 | Eduard Radaslavescu FCV Farul Constanta | 22 | 4 | €650K | €934K | +30% |
| #11 | Ervin Bakos FK Csikszereda Miercurea Ciuc | 22 | 4 | €200K | €287K | +30% |
| #12 | Ștefan Pănoiu FC Botosani | 23 | 3 | €250K | €334K | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Odense Boldklub's William Martin has the highest Risk-Adjusted Upside at 31.1. That means William Martin has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Bröndby IF's Oscar Schwartau with a 31.1 RAU (10% upside, 0% uncertainty). Third is Denis Țăroi of UTA Arad 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 | William Martin Odense Boldklub | €827K | €703K-950K | +10% | 31.1 |
| #2 | Oscar Schwartau Bröndby IF | €3.9M | €3.3M-4.4M | +10% | 31.1 |
| #3 | Denis Țăroi UTA Arad | €331K | €281K-380K | +10% | 31.1 |
| #4 | Efraim Bödő FK Csikszereda Miercurea Ciuc | €496K | €422K-570K | +10% | 31.1 |
| #5 | Mike Themsen Randers FC | €882K | €750K-1.0M | +10% | 31.1 |
| #6 | Ervin Bakos FK Csikszereda Miercurea Ciuc | €203K | €176K-229K | +1% | 5.4 |
| #7 | Eduard Radaslavescu FCV Farul Constanta | €659K | €574K-745K | +1% | 5.4 |
| #8 | Zidan Sertdemir FC Nordsjaelland | €1.2M | €1.0M-1.4M | +1% | 4.7 |
| #9 | Bertram Kvist Bröndby IF | €203K | €173K-233K | +1% | 4.7 |
| #10 | Szabolcs Dusinszki FK Csikszereda Miercurea Ciuc | €203K | €173K-233K | +1% | 4.7 |
| #11 | Patrick Dulcea AFC Unirea 04 Slobozia | €254K | €216K-291K | +1% | 4.7 |
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: young attacking 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)
Randers FC's Mike Themsen in the U21 age bracket has the highest Age-Share Concentration at +24.6%. That means Oscar Schwartau captures 66.3% of total market value while representing only 41.7% of players in their age group-showing dominant elite status.
In second is Odense Boldklub's William Martin with a +24.6% ASC (66.3% value share vs 41.7% player share in U21 bracket). Third is Efraim Bödő of FK Csikszereda Miercurea Ciuc with a +24.6% ASC (66.3% value vs 41.7% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +24.6% ASC means the player captures 24.6% 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 | Mike Themsen Randers FC | U21 | 66.3% | 41.7% | +24.6% |
| #2 | William Martin Odense Boldklub | U21 | 66.3% | 41.7% | +24.6% |
| #3 | Efraim Bödő FK Csikszereda Miercurea Ciuc | U21 | 66.3% | 41.7% | +24.6% |
| #4 | Denis Țăroi UTA Arad | U21 | 66.3% | 41.7% | +24.6% |
| #5 | Oscar Schwartau Bröndby IF | U21 | 66.3% | 41.7% | +24.6% |
| #6 | Patrick Dulcea AFC Unirea 04 Slobozia | 21-23 | 33.7% | 58.3% | -24.6% |
| #7 | Bertram Kvist Bröndby IF | 21-23 | 33.7% | 58.3% | -24.6% |
| #8 | Ștefan Pănoiu FC Botosani | 21-23 | 33.7% | 58.3% | -24.6% |
| #9 | Eduard Radaslavescu FCV Farul Constanta | 21-23 | 33.7% | 58.3% | -24.6% |
| #10 | Zidan Sertdemir FC Nordsjaelland | 21-23 | 33.7% | 58.3% | -24.6% |
| #11 | Szabolcs Dusinszki FK Csikszereda Miercurea Ciuc | 21-23 | 33.7% | 58.3% | -24.6% |
| #12 | Ervin Bakos FK Csikszereda Miercurea Ciuc | 21-23 | 33.7% | 58.3% | -24.6% |
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, 5 standard acquisitions, 7 watch-list prospects, 0 at peak.
BUY NOW - High Upside
No players in this category
WATCH LIST - High Upside
BUY NOW - Medium Upside
PEAK Players
No players in this category
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 €750K. 0 undervalued, 2 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Denis Țăroi UTA Arad | €300K | €450K | -1.29 | Good Value |
Efraim Bödő FK Csikszereda Miercurea Ciuc | €450K | €450K | -0.86 | Good Value |
Bertram Kvist Bröndby IF | €200K | €450K | -0.11 | Fair Value |
Szabolcs Dusinszki FK Csikszereda Miercurea Ciuc | €200K | €450K | -0.11 | Fair Value |
Ervin Bakos FK Csikszereda Miercurea Ciuc | €200K | €450K | -0.11 | Fair Value |
Patrick Dulcea AFC Unirea 04 Slobozia | €250K | €450K | 0.00 | Fair Value |
William Martin Odense Boldklub | €750K | €450K | 0.00 | Fair Value |
Ștefan Pănoiu FC Botosani | €250K | €450K | 0.00 | Fair Value |
Mike Themsen Randers FC | €800K | €450K | +0.14 | Fair Value |
Eduard Radaslavescu FCV Farul Constanta | €650K | €450K | +0.89 | Above Market |
Zidan Sertdemir FC Nordsjaelland | €1.2M | €450K | +2.11 | Premium |
Oscar Schwartau Bröndby IF | €3.5M | €450K | +7.86 | Premium |
Market Overview: Superliga Young Attacking Midfielders 2022-23
Our database tracked 12 Superliga Young Attacking Midfielders in the 2022-23 season, representing 9 clubs with a combined market value of €8.7M. The average market value for Superliga Young Attacking Midfielders was €729K, with the average age at 21 years old.
The most valuable young attacking midfielder in the Superliga was Oscar Schwartau, worth €3.5M and played for Bröndby IF at 20 years old. The top 5 Young Attacking Midfielders averaged €1.4M in market value, including Zidan Sertdemir and Mike Themsen.
Age distribution showed the youngest tracked young attacking midfielder was Denis Țăroi (18 years, UTA Arad, €300K), while the oldest was Ștefan Pănoiu (23 years, FC Botosani, €250K). Research shows Young Attacking Midfielders typically peak at age 27.
Historical analysis showed 11 Young Attacking Midfielders (92%) 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 Young Attacking Midfielders remained actively developing with emerging talent in the 2022-23 season.
How We Rank Superliga Young Attacking Midfielders
Our Analytical Strength Index is calibrated specifically for young 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 young 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 young 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 young 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 Young Attacking Midfielders in the 2022-23 season
Who are the most valuable Young Attacking Midfielders in the Superliga in 2022-23?
The most valuable young attacking midfielder in the Superliga in 2022-23 is Oscar Schwartau, who is worth €3.5M and plays for Bröndby IF. The second most valuable is Zidan Sertdemir (€1.2M, FC Nordsjaelland), followed by Mike Themsen (€800K, Randers FC). Our database tracks 12 Superliga Young Attacking Midfielders with comprehensive market valuations updated for the 2022-23 season.
How are Superliga Young Attacking Midfielders ranked?
Superliga Young Attacking Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young 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 Young 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 young attacking midfielder from the Superliga?
Transfer fees for Superliga Young Attacking Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young attacking midfielder Oscar Schwartau (market value: €3.5M), estimated transfer fees would range from €2.8M to €4.9M 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 Young Attacking Midfielders?
Our 1-year forecast model projects market value changes for Superliga Young 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 young attacking midfielder data come from?
Our Superliga young 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 for the 2022-23 season to ensure accuracy for recruitment and investment decisions.