Best U23 Young Left-Backs in the Superliga
5 players aged 23 or under · ranked by Analytical Strength Index
Best Young Left-Backs in the Superliga (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Superliga Young Left-Backs 2024-25
Our database tracked 5 Superliga Young Left-Backs in the 2024-25 season, representing 5 clubs with a combined market value of €9.1M. The average market value for Superliga Young Left-Backs was €1.8M, with the average age at 21 years old.
The most valuable young left-back in the Superliga was Juho Lähteenmäki, worth €3.5M and played for FC Nordsjaelland at 19 years old. The top 5 Young Left-Backs averaged €1.8M in market value, including Victor Bak and Srdjan Kuzmic.
Age distribution showed the youngest tracked young left-back was Juho Lähteenmäki (19 years, FC Nordsjaelland, €3.5M), while the oldest was Victor Bak (22 years, FC Midtjylland, €3.0M). Research shows Young Left-Backs typically peak at age 27.
Historical analysis showed 5 Young Left-Backs (100%) 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 Left-Backs remained actively developing with emerging talent in the 2024-25 season.
💡 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.
Explore Market Size by Position in Superliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Young Left-Backs. Identify undervalued assets and track market momentum across 5 clubs with €9.1M combined value.
Age Distribution: Superliga Young Left-Backs
The Superliga LB market shows 2 distinct age segments, with the largest cohort in the U21 bracket (3 players, 60% of market). The 21-23 age group holds the most value at €4.8M, averaging €2.4M per player.
Top Young Left-Backs by Age Bracket
U21 Years (3 players)
21-23 Years (2 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Left-Backs (20% of players) control €3.5M
Market Tiers
Market structure shows concentrated value with emerging (<€5m) tier representing 100% of the Superliga LB pool.
Emerging (<€5M)
Club Distribution: Superliga Young Left-Backs
Among 5 Superliga clubs, FC Nordsjaelland leads with 1 Young Left-Backs worth €3.5M (averaging €3.5M per player). The top 10 clubs account for 100% of tracked Young Left-Backs.
FC Nordsjaelland (1 Young Left-Backs)
FC Midtjylland (1 Young Left-Backs)
Viborg FF (1 Young Left-Backs)
FC Fredericia (1 Young Left-Backs)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Juho Lähteenmäki
FC Nordsjaelland • 19 years old
€3.0M
€3.5M
+15.6%
Expected: €4.2M
46.0
Victor Bak
FC Midtjylland • 22 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
42.3
Srdjan Kuzmic
Viborg FF • 22 years old
€1.6M
€1.8M
+15.6%
Expected: €1.9M
35.9
Daníel Freyr Kristjánsson
FC Fredericia • 20 years old
€389K
€450K
+15.6%
Expected: €516K
17.5
Marcus McCoy
Odense Boldklub • 20 years old
€303K
€350K
+15.6%
Expected: €401K
14.3
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 Juho Lähteenmäki at 19 years old has the highest Pre-Peak Value Efficiency at 7.78×. That means Juho Lähteenmäki is valued 7.78× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is FC Midtjylland's Victor Bak, who is 22 years old, with a 1.00× PPVE. Third is Daníel Freyr Kristjánsson of FC Fredericia, who is 20 years old with a 1.00× 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 7.78× means the player is worth 678% 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 | Juho Lähteenmäki FC Nordsjaelland | 19 | U21 | €3.5M | €450K | 7.78× |
| #2 | Victor Bak FC Midtjylland | 22 | 21-23 | €3.0M | €3.0M | 1.00× |
| #3 | Daníel Freyr Kristjánsson FC Fredericia | 20 | U21 | €450K | €450K | 1.00× |
| #4 | Marcus McCoy Odense Boldklub | 20 | U21 | €350K | €450K | 0.78× |
| #5 | Srdjan Kuzmic Viborg FF | 22 | 21-23 | €1.8M | €3.0M | 0.60× |
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 Juho Lähteenmäki at 19 years old has the highest Return-to-Peak Potential at +40%. That means Juho Lähteenmäki is projected to appreciate 40% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Odense Boldklub's Marcus McCoy, who is 20 years old, with a +35% RPP (6 years to peak). Third is Daníel Freyr Kristjánsson of FC Fredericia, who is 20 years old with a +35% RPP (6 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 40% RPP means the player is expected to gain 40% 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 | Juho Lähteenmäki FC Nordsjaelland | 19 | 7 | €3.5M | €5.8M | +40% |
| #2 | Marcus McCoy Odense Boldklub | 20 | 6 | €350K | €541K | +35% |
| #3 | Daníel Freyr Kristjánsson FC Fredericia | 20 | 6 | €450K | €696K | +35% |
| #4 | Srdjan Kuzmic Viborg FF | 22 | 4 | €1.8M | €2.4M | +25% |
| #5 | Victor Bak FC Midtjylland | 22 | 4 | €3.0M | €4.0M | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
FC Nordsjaelland's Juho Lähteenmäki has the highest Risk-Adjusted Upside at 58.0. That means Juho Lähteenmäki has 19% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FC Fredericia's Daníel Freyr Kristjánsson with a 46.3 RAU (15% upside, 0% uncertainty). Third is Marcus McCoy of Odense Boldklub with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 58.0 means the upside is 58.0× 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 | Juho Lähteenmäki FC Nordsjaelland | €4.2M | €3.6M-4.7M | +19% | 58.0 |
| #2 | Daníel Freyr Kristjánsson FC Fredericia | €516K | €445K-587K | +15% | 46.3 |
| #3 | Marcus McCoy Odense Boldklub | €401K | €346K-457K | +15% | 46.3 |
| #4 | Victor Bak FC Midtjylland | €3.2M | €2.8M-3.6M | +6% | 23.0 |
| #5 | Srdjan Kuzmic Viborg FF | €1.9M | €1.7M-2.1M | +6% | 23.0 |
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 left-back 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 Midtjylland's Victor Bak in the 21-23 age bracket has the highest Age-Share Concentration at +12.7%. That means Juho Lähteenmäki captures 47.3% of total market value while representing only 60.0% of players in their age group-showing dominant elite status.
In second is Viborg FF's Srdjan Kuzmic with a +12.7% ASC (52.7% value share vs 40.0% player share in 21-23 bracket). Third is Daníel Freyr Kristjánsson of FC Fredericia with a +-12.7% ASC (47.3% value vs 60.0% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-12.7% ASC means the player captures -12.7% 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 | Victor Bak FC Midtjylland | 21-23 | 52.7% | 40.0% | +12.7% |
| #2 | Srdjan Kuzmic Viborg FF | 21-23 | 52.7% | 40.0% | +12.7% |
| #3 | Daníel Freyr Kristjánsson FC Fredericia | U21 | 47.3% | 60.0% | -12.7% |
| #4 | Juho Lähteenmäki FC Nordsjaelland | U21 | 47.3% | 60.0% | -12.7% |
| #5 | Marcus McCoy Odense Boldklub | U21 | 47.3% | 60.0% | -12.7% |
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: 1 immediate targets, 4 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
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 €350K. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Srdjan Kuzmic Viborg FF | €1.8M | €1.8M | -1.00 | Good Value |
Marcus McCoy Odense Boldklub | €350K | €1.8M | -0.03 | Fair Value |
Victor Bak FC Midtjylland | €3.0M | €1.8M | 0.00 | Fair Value |
Daníel Freyr Kristjánsson FC Fredericia | €450K | €1.8M | 0.00 | Fair Value |
Juho Lähteenmäki FC Nordsjaelland | €3.5M | €1.8M | +0.97 | Above Market |
How We Rank Superliga Young Left-Backs
Our Analytical Strength Index is calibrated specifically for young left-backs, 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 LB
Historical Achievement Index (35%)
Peak career market value for Superliga young left-backs, 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 left-backs, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Defenders with 2,500+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Defenders peak at 27 with 5.0%/year decline rate. 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.
LB Performance Benchmarks
Peak Age: 27 years (balance of physicality and tactical intelligence)
Decline Rate: 5.0% per year (moderate decline as positioning offsets pace loss)
Optimal Minutes: 2,500 per season (regular starter with rotation management)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Defender -5.0%/year post-peak, +5%/year pre-peak
• 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: ±10% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young left-backs
• 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 Left-Backs in the 2024-25 season
Who are the most valuable Young Left-Backs in the Superliga in 2024-25?
The most valuable young left-back in the Superliga in 2024-25 is Juho Lähteenmäki, who is worth €3.5M and plays for FC Nordsjaelland. The second most valuable is Victor Bak (€3.0M, FC Midtjylland), followed by Srdjan Kuzmic (€1.8M, Viborg FF). Our database tracks 5 Superliga Young Left-Backs with comprehensive market valuations updated for the 2024-25 season.
How are Superliga Young Left-Backs ranked?
Superliga Young Left-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Left-Backs. 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 Left-Backs peak?
Defenders typically peak at age 27, with a decline rate of 5.0% per year after peak. Research shows defenders balance physical attributes with tactical intelligence, allowing them to maintain high performance through their late 20s. The optimal playing time for peak performance is around 2,500 minutes per season.
How much does it cost to sign a top young left-back from the Superliga?
Transfer fees for Superliga Young Left-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young left-back Juho Lähteenmäki (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 Left-Backs?
Our 1-year forecast model projects market value changes for Superliga Young Left-Backs based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), 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-defenders have ±10% 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 left-back data come from?
Our Superliga young left-back 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 2024-25 season to ensure accuracy for recruitment and investment decisions.