Best Left-Backs in the Superliga (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: Superliga Left-Backs 2025-26
Our database tracks 69 Superliga Left-Backs in the 2025-26 season, representing 28 clubs with a combined market value of €40.3M. The average market value for Superliga Left-Backs is €584K, with the average age at 30 years old.
The most valuable left-back in the Superliga is Marcos López, worth €3.5M and playing for FC Copenhagen at 26 years old. The top 5 Left-Backs average €2.9M in market value, including Mats Köhlert and Victor Bak.
Age distribution shows the youngest tracked left-back is Lukas Larsen (20 years, Bröndby IF, €300K), while the oldest is Leon Jessen (40 years, Esbjerg fB, €250K). Research shows Left-Backs typically peak at age 27.
Our 1-year forecast model projects 14 Left-Backs (20%) 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 Left-Backs remains actively developing with emerging talent in the 2025-26 season.
Explore Market Size by Position in Superliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Left-Backs. Identify undervalued assets and track market momentum across 28 clubs with €40.3M combined value.
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.
Age Distribution: Superliga Left-Backs
The Superliga LB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (41 players, 59% of market). The 30+ age group holds the most value at €14.6M, averaging €357K per player.
Top Left-Backs by Age Bracket
U21 Years (1 players)
21-23 Years (3 players)
24-26 Years (15 players)
27-29 Years (9 players)
Market Value Distribution
Elite Tier Concentration
The top 7 Left-Backs (10% of players) control €18.0M
Market Tiers
Market structure shows concentrated value with emerging (<€5m) tier representing 100% of the Superliga LB pool.
Emerging (<€5M)
Club Distribution: Superliga Left-Backs
Among 28 Superliga clubs, Bröndby IF leads with 5 Left-Backs worth €6.8M (averaging €1.4M per player). The top 10 clubs account for 59% of tracked Left-Backs.
Bröndby IF (5 Left-Backs)
FC Copenhagen (5 Left-Backs)
FC Midtjylland (4 Left-Backs)
Randers FC (4 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.
Marcos López
FC Copenhagen • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.4M
47.9
Mats Köhlert
Bröndby IF • 28 years old
€3.7M
€3.5M
-5.4%
Expected: €3.1M
47.7
Victor Bak
FC Midtjylland • 22 years old
€2.6M
€3.0M
+15.6%
Expected: €3.3M
42.5
Marko Divković
Bröndby IF • 27 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
39.6
Nikolas Dyhr
Randers FC • 25 years old
€1.9M
€2.2M
+15.6%
Expected: €2.3M
38.9
Srdjan Kuzmic
Viborg FF • 22 years old
€1.6M
€1.8M
+15.6%
Expected: €2.0M
36.0
Birger Meling
FC Copenhagen • 31 years old
€1.9M
€1.5M
-22.6%
Expected: €1.3M
34.1
David Kiki
FCSB • 32 years old
€1.5M
€1.2M
-22.6%
Expected: €1.0M
31.5
Bradley de Nooijer
ASFC Buzau (2016-2025) • 28 years old
€1.3M
€1.2M
-5.4%
Expected: €1.1M
30.5
Paulinho
FC Midtjylland • 31 years old
€1.3M
€1.0M
-22.6%
Expected: €838K
29.0
Oliver Bundgaard
Viborg FF • 25 years old
€865K
€1.0M
+15.6%
Expected: €1.0M
28.9
Adam Sørensen
Odense Boldklub • 25 years old
€778K
€900K
+15.6%
Expected: €922K
27.6
Andreas Poulsen
Silkeborg IF • 26 years old
€735K
€850K
+15.6%
Expected: €831K
26.4
Kristian Pedersen
FC Fredericia • 31 years old
€1.0M
€800K
-22.6%
Expected: €670K
26.1
Ibrokhimkhalil Yuldoshev
Neftchi Fergana • 25 years old
€692K
€800K
+15.6%
Expected: €782K
25.5
Ronald Pfumbidzai
Hobro IK • 31 years old
€968K
€750K
-22.6%
Expected: €628K
25.3
Cristian Ganea
FCV Farul Constanta • 34 years old
€775K
€600K
-22.6%
Expected: €531K
23.2
Alexandru Chipciu
FC Universitatea Cluj • 37 years old
€710K
€550K
-22.6%
Expected: €486K
22.9
Jonas Knudsen
Esbjerg fB • 33 years old
€646K
€500K
-22.6%
Expected: €442K
20.7
Lubambo Musonda
Silkeborg IF • 31 years old
€646K
€500K
-22.6%
Expected: €419K
20.2
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)
Randers FC's Nikolas Dyhr at 25 years old has the highest Pre-Peak Value Efficiency at 2.75×. That means Nikolas Dyhr is valued 2.75× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is FC Midtjylland's Victor Bak, who is 22 years old, with a 1.67× PPVE. Third is Oliver Bundgaard of Viborg FF, who is 25 years old with a 1.25× 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 2.75× means the player is worth 175% 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 | Nikolas Dyhr Randers FC | 25 | 24-26 | €2.2M | €800K | 2.75× |
| #2 | Victor Bak FC Midtjylland | 22 | 21-23 | €3.0M | €1.8M | 1.67× |
| #3 | Oliver Bundgaard Viborg FF | 25 | 24-26 | €1.0M | €800K | 1.25× |
| #4 | Adam Sørensen Odense Boldklub | 25 | 24-26 | €900K | €800K | 1.13× |
| #5 | Ibrokhimkhalil Yuldoshev Neftchi Fergana | 25 | 24-26 | €800K | €800K | 1.00× |
| #6 | Srdjan Kuzmic Viborg FF | 22 | 21-23 | €1.8M | €1.8M | 1.00× |
| #7 | Lukas Larsen Bröndby IF | 20 | U21 | €300K | €300K | 1.00× |
| #8 | Marc Nielsen Aalborg BK | 25 | 24-26 | €450K | €800K | 0.56× |
| #9 | Atli Barkarson Sönderjyske Fodbold | 25 | 24-26 | €300K | €800K | 0.37× |
| #10 | Mathias Brems Odense Boldklub | 24 | 24-26 | €150K | €800K | 0.19× |
| #11 | Denis Catovic Esbjerg fB | 24 | 24-26 | €150K | €800K | 0.19× |
| #12 | William Kaastrup Randers FC | 22 | 21-23 | €300K | €1.8M | 0.17× |
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)
Bröndby IF's Lukas Larsen at 20 years old has the highest Return-to-Peak Potential at +40%. That means Lukas Larsen is projected to appreciate 40% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is Viborg FF's Srdjan Kuzmic, who is 22 years old, with a +30% RPP (4 years to peak). Third is William Kaastrup of Randers FC, who is 22 years old with a +30% RPP (4 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 | Lukas Larsen Bröndby IF | 20 | 6 | €300K | €499K | +40% |
| #2 | Srdjan Kuzmic Viborg FF | 22 | 4 | €1.8M | €2.6M | +30% |
| #3 | William Kaastrup Randers FC | 22 | 4 | €300K | €431K | +30% |
| #4 | Victor Bak FC Midtjylland | 22 | 4 | €3.0M | €4.3M | +30% |
| #5 | Mathias Brems Odense Boldklub | 24 | 2 | €150K | €186K | +20% |
| #6 | Denis Catovic Esbjerg fB | 24 | 2 | €150K | €186K | +20% |
| #7 | Atli Barkarson Sönderjyske Fodbold | 25 | 1 | €300K | €347K | +14% |
| #8 | Oliver Bundgaard Viborg FF | 25 | 1 | €1.0M | €1.2M | +14% |
| #9 | Adam Sørensen Odense Boldklub | 25 | 1 | €900K | €1.0M | +14% |
| #10 | Marc Nielsen Aalborg BK | 25 | 1 | €450K | €520K | +14% |
| #11 | Nikolas Dyhr Randers FC | 25 | 1 | €2.2M | €2.5M | +14% |
| #12 | Ibrokhimkhalil Yuldoshev Neftchi Fergana | 25 | 1 | €800K | €860K | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Bröndby IF's Lukas Larsen has the highest Risk-Adjusted Upside at 69.6. That means Lukas Larsen has 19% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Viborg FF's Srdjan Kuzmic with a 46.5 RAU (10% upside, 0% uncertainty). Third is Victor Bak of FC Midtjylland with a 46.5 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 69.6 means the upside is 69.6× 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 | Lukas Larsen Bröndby IF | €357K | €316K-398K | +19% | 69.6 |
| #2 | Srdjan Kuzmic Viborg FF | €2.0M | €1.8M-2.2M | +10% | 46.5 |
| #3 | Victor Bak FC Midtjylland | €3.3M | €3.0M-3.6M | +10% | 46.5 |
| #4 | William Kaastrup Randers FC | €331K | €298K-364K | +10% | 46.5 |
| #5 | Mathias Brems Odense Boldklub | €161K | €145K-177K | +7% | 33.0 |
| #6 | Denis Catovic Esbjerg fB | €161K | €145K-177K | +7% | 33.0 |
| #7 | Dalton Wilkins Sönderjyske Fodbold | €154K | €139K-170K | +3% | 14.4 |
| #8 | Marko Divković Bröndby IF | €2.6M | €2.3M-2.8M | +3% | 14.4 |
| #9 | Kouya Mabea UTA Arad | €257K | €232K-283K | +3% | 14.4 |
| #10 | Adam Sørensen Odense Boldklub | €922K | €830K-1.0M | +2% | 11.8 |
| #11 | Marc Nielsen Aalborg BK | €461K | €415K-507K | +2% | 11.8 |
| #12 | Atli Barkarson Sönderjyske Fodbold | €307K | €277K-338K | +2% | 11.8 |
| #13 | Oliver Bundgaard Viborg FF | €1.0M | €922K-1.1M | +2% | 11.8 |
| #14 | Nikolas Dyhr Randers FC | €2.3M | €2.0M-2.5M | +2% | 11.8 |
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: 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)
Vejle Boldklub's Christian Sørensen in the 30+ age bracket has the highest Age-Share Concentration at +-23.2%. That means Birger Meling captures 36.3% of total market value while representing only 59.4% of players in their age group-showing dominant elite status.
In second is Odense Boldklub's Jörgen Skjelvik with a +-23.2% ASC (36.3% value share vs 59.4% player share in 30+ bracket). Third is Mikkel Cramer of Silkeborg IF with a +-23.2% ASC (36.3% value vs 59.4% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-23.2% ASC means the player captures -23.2% 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 | Christian Sørensen Vejle Boldklub | 30+ | 36.3% | 59.4% | -23.2% |
| #2 | Jörgen Skjelvik Odense Boldklub | 30+ | 36.3% | 59.4% | -23.2% |
| #3 | Mikkel Cramer Silkeborg IF | 30+ | 36.3% | 59.4% | -23.2% |
| #4 | Bryan Oviedo FC Copenhagen | 30+ | 36.3% | 59.4% | -23.2% |
| #5 | Antonio Luna FC Dinamo 1948 | 30+ | 36.3% | 59.4% | -23.2% |
| #6 | Seok-yeong Yun Bröndby IF | 30+ | 36.3% | 59.4% | -23.2% |
| #7 | Jonas Knudsen Esbjerg fB | 30+ | 36.3% | 59.4% | -23.2% |
| #8 | Nicolai Johannesen FC Nordsjaelland | 30+ | 36.3% | 59.4% | -23.2% |
| #9 | Frederik Möller Silkeborg IF | 30+ | 36.3% | 59.4% | -23.2% |
| #10 | Diego Caballo Aalborg BK | 30+ | 36.3% | 59.4% | -23.2% |
| #11 | Patrick Da Silva Lyngby Boldklub | 30+ | 36.3% | 59.4% | -23.2% |
| #12 | Leon Jessen Esbjerg fB | 30+ | 36.3% | 59.4% | -23.2% |
| #13 | Thor Lange AC Horsens | 30+ | 36.3% | 59.4% | -23.2% |
| #14 | Milan Massop Silkeborg IF | 30+ | 36.3% | 59.4% | -23.2% |
| #15 | Ali Adnan Vejle Boldklub | 30+ | 36.3% | 59.4% | -23.2% |
| #16 | Cristian Ganea FCV Farul Constanta | 30+ | 36.3% | 59.4% | -23.2% |
| #17 | Kingsley Madu Odense Boldklub | 30+ | 36.3% | 59.4% | -23.2% |
| #18 | Bödvar Bödvarsson FC Midtjylland | 30+ | 36.3% | 59.4% | -23.2% |
| #19 | Nicholas Marfelt Sönderjyske Fodbold | 30+ | 36.3% | 59.4% | -23.2% |
| #20 | Birger Meling FC Copenhagen | 30+ | 36.3% | 59.4% | -23.2% |
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, 5 standard acquisitions, 0 watch-list prospects, 22 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
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 €200K. 0 undervalued, 11 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Thor Lange AC Horsens | €125K | €300K | -0.71 | Good Value |
Nicolai Johannesen FC Nordsjaelland | €150K | €300K | -0.57 | Good Value |
Diego Caballo Aalborg BK | €150K | €300K | -0.57 | Good Value |
Aílton FC Midtjylland | €150K | €300K | -0.57 | Good Value |
Jukka Raitala Aalborg BK | €150K | €300K | -0.57 | Good Value |
Michael Lumb Bröndby IF | €150K | €300K | -0.57 | Good Value |
Daniel Christensen Vendsyssel FF | €150K | €300K | -0.57 | Good Value |
Kevin Conboy Randers FC | €150K | €300K | -0.57 | Good Value |
Nicolaj Ritter Sönderjyske Fodbold | €150K | €300K | -0.57 | Good Value |
William Kaastrup Randers FC | €300K | €300K | -0.56 | Good Value |
Leonel Montano Silkeborg IF | €150K | €300K | -0.33 | Fair Value |
Mathias Brems Odense Boldklub | €150K | €300K | -0.33 | Fair Value |
Denis Catovic Esbjerg fB | €150K | €300K | -0.33 | Fair Value |
Fard Ibrahim Vejle Boldklub | €150K | €300K | -0.33 | Fair Value |
Mikkel Cramer Silkeborg IF | €200K | €300K | -0.29 | Fair Value |
Bryan Oviedo FC Copenhagen | €200K | €300K | -0.29 | Fair Value |
Milan Massop Silkeborg IF | €200K | €300K | -0.29 | Fair Value |
Ali Adnan Vejle Boldklub | €200K | €300K | -0.29 | Fair Value |
Bödvar Bödvarsson FC Midtjylland | €200K | €300K | -0.29 | Fair Value |
Nicholas Marfelt Sönderjyske Fodbold | €200K | €300K | -0.29 | Fair Value |
How We Rank Superliga Left-Backs
Our Analytical Strength Index is calibrated specifically for 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 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 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 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 Left-Backs in the 2025-26 season
Who are the most valuable Left-Backs in the Superliga in 2025-26?
The most valuable left-back in the Superliga in 2025-26 is Marcos López, who is worth €3.5M and plays for FC Copenhagen. The second most valuable is Mats Köhlert (€3.5M, Bröndby IF), followed by Victor Bak (€3.0M, FC Midtjylland). Our database tracks 69 Superliga Left-Backs with comprehensive market valuations updated for the 2025-26 season.
How are Superliga Left-Backs ranked?
Superliga Left-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for 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 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 left-back from the Superliga?
Transfer fees for Superliga Left-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked left-back Marcos López (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 Left-Backs?
Our 1-year forecast model projects market value changes for Superliga 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 left-back data come from?
Our Superliga 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 2025-26 season to ensure accuracy for recruitment and investment decisions.