Best Right-Backs in the Superliga (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: Superliga Right-Backs 2024-25
Our database tracked 76 Superliga Right-Backs in the 2024-25 season, representing 31 clubs with a combined market value of €51.4M. The average market value for Superliga Right-Backs was €676K, with the average age at 29 years old.
The most valuable right-back in the Superliga was Rodrigo Huescas, worth €6.0M and played for FC Copenhagen at 22 years old. The top 5 Right-Backs averaged €3.7M in market value, including Cristian Manea and Oliver Villadsen.
Age distribution showed the youngest tracked right-back was Yoram Zague (20 years, FC Copenhagen, €2.5M), while the oldest was Patrick Kristensen (39 years, Aalborg BK, €200K). Research shows Right-Backs typically peak at age 27.
Historical analysis showed 23 Right-Backs (30%) 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 Right-Backs remained actively developing with emerging talent in the 2024-25 season.
Explore Market Size by Position in Superliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Right-Backs. Identify undervalued assets and track market momentum across 31 clubs with €51.4M 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 Right-Backs
The Superliga RB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (39 players, 51% of market). The 30+ age group holds the most value at €16.3M, averaging €418K per player.
Top Right-Backs by Age Bracket
U21 Years (4 players)
21-23 Years (3 players)
24-26 Years (14 players)
27-29 Years (16 players)
Market Value Distribution
Elite Tier Concentration
The top 8 Right-Backs (11% of players) control €24.3M
Market Tiers
Market structure shows distributed value with mid (€5-15m) tier representing 1% of the Superliga RB pool.
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Right-Backs
Among 31 Superliga clubs, FC Copenhagen leads with 5 Right-Backs worth €12.0M (averaging €2.4M per player). The top 10 clubs account for 47% of tracked Right-Backs.
FC Copenhagen (5 Right-Backs)
FC Midtjylland (5 Right-Backs)
Bröndby IF (4 Right-Backs)
Vejle Boldklub (6 Right-Backs)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Rodrigo Huescas
FC Copenhagen • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.9
Cristian Manea
FC Rapid 1923 • 28 years old
€3.7M
€3.5M
-5.4%
Expected: €3.1M
47.7
Oliver Villadsen
Bröndby IF • 24 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
43.4
Kevin Mbabu
FC Midtjylland • 31 years old
€3.9M
€3.0M
-22.6%
Expected: €2.5M
42.9
Aurélio Buta
FC Copenhagen • 29 years old
€3.9M
€3.0M
-22.6%
Expected: €2.7M
42.4
Yoram Zague
FC Copenhagen • 20 years old
€2.2M
€2.5M
+15.6%
Expected: €3.0M
39.4
Oliver Olsen
Randers FC • 25 years old
€1.6M
€1.8M
+15.6%
Expected: €1.8M
36.4
Sean Klaiber
Bröndby IF • 31 years old
€1.9M
€1.5M
-22.6%
Expected: €1.3M
34.1
Kevin Yamga
Vejle Boldklub • 29 years old
€1.7M
€1.3M
-22.6%
Expected: €1.1M
31.8
Joel Andersson
FC Midtjylland • 29 years old
€1.5M
€1.2M
-22.6%
Expected: €1.1M
30.8
Dino Mikanovic
FC Universitatea Cluj • 32 years old
€1.3M
€1.0M
-22.6%
Expected: €838K
29.2
Marius Elvius
Vejle Boldklub • 24 years old
€735K
€850K
+15.6%
Expected: €910K
27.4
Christopher Braun
CFR Cluj • 35 years old
€1.0M
€800K
-22.6%
Expected: €708K
27.1
Maxime Sivis
FC Dinamo 1948 • 28 years old
€951K
€900K
-5.4%
Expected: €796K
26.9
Marcus Coco
CFR Cluj • 30 years old
€1.1M
€850K
-22.6%
Expected: €712K
26.7
Thomas Gundelund
Vejle Boldklub • 24 years old
€649K
€750K
+15.6%
Expected: €803K
25.8
Adam Gabriel
FC Midtjylland • 25 years old
€649K
€750K
+15.6%
Expected: €768K
25.3
Ricardinho
Petrolul Ploiesti • 32 years old
€904K
€700K
-22.6%
Expected: €587K
24.7
Jordan Ikoko
FC Dinamo 1948 • 32 years old
€904K
€700K
-22.6%
Expected: €587K
24.7
Cheick Traoré
ASFC Buzau (2016-2025) • 31 years old
€904K
€700K
-22.6%
Expected: €587K
24.4
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 Copenhagen's Rodrigo Huescas at 22 years old has the highest Pre-Peak Value Efficiency at 30.00×. That means Rodrigo Huescas is valued 30.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Bröndby IF's Oliver Villadsen, who is 24 years old, with a 7.50× PPVE. Third is Oliver Olsen of Randers FC, who is 25 years old with a 4.50× 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 30.00× means the player is worth 2900% 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 | Rodrigo Huescas FC Copenhagen | 22 | 21-23 | €6.0M | €200K | 30.00× |
| #2 | Oliver Villadsen Bröndby IF | 24 | 24-26 | €3.0M | €400K | 7.50× |
| #3 | Oliver Olsen Randers FC | 25 | 24-26 | €1.8M | €400K | 4.50× |
| #4 | Yoram Zague FC Copenhagen | 20 | U21 | €2.5M | €750K | 3.33× |
| #5 | Marius Elvius Vejle Boldklub | 24 | 24-26 | €850K | €400K | 2.13× |
| #6 | Thomas Gundelund Vejle Boldklub | 24 | 24-26 | €750K | €400K | 1.88× |
| #7 | Adam Gabriel FC Midtjylland | 25 | 24-26 | €750K | €400K | 1.88× |
| #8 | Mikkel Lassen AC Horsens | 25 | 24-26 | €400K | €400K | 1.00× |
| #9 | Tobias Klysner Sönderjyske Fodbold | 25 | 24-26 | €400K | €400K | 1.00× |
| #10 | Christian Friedrich Bröndby IF | 23 | 21-23 | €200K | €200K | 1.00× |
| #11 | Pontus Texel FC Midtjylland | 22 | 21-23 | €200K | €200K | 1.00× |
| #12 | Hjalte Bidstrup Viborg FF | 20 | U21 | €750K | €750K | 1.00× |
| #13 | Sabil Hansen Randers FC | 20 | U21 | €600K | €750K | 0.80× |
| #14 | Magnus Lysholm Hvidovre IF | 24 | 24-26 | €300K | €400K | 0.75× |
| #15 | Anders Dahl FC Fredericia | 24 | 24-26 | €250K | €400K | 0.63× |
| #16 | Lasse Flø Vejle Boldklub | 20 | U21 | €400K | €750K | 0.53× |
| #17 | Fabinho FCV Farul Constanta | 25 | 24-26 | €200K | €400K | 0.50× |
| #18 | Casper Gedsted Aalborg BK | 24 | 24-26 | €150K | €400K | 0.37× |
| #19 | Oscar Fuglsang Silkeborg IF | 24 | 24-26 | €150K | €400K | 0.37× |
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)
Randers FC's Sabil Hansen at 20 years old has the highest Return-to-Peak Potential at +40%. That means Sabil Hansen is projected to appreciate 40% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is Vejle Boldklub's Lasse Flø, who is 20 years old, with a +40% RPP (6 years to peak). Third is Yoram Zague of FC Copenhagen, who is 20 years old with a +40% 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 | Sabil Hansen Randers FC | 20 | 6 | €600K | €997K | +40% |
| #2 | Lasse Flø Vejle Boldklub | 20 | 6 | €400K | €665K | +40% |
| #3 | Yoram Zague FC Copenhagen | 20 | 6 | €2.5M | €4.2M | +40% |
| #4 | Hjalte Bidstrup Viborg FF | 20 | 6 | €750K | €1.2M | +40% |
| #5 | Rodrigo Huescas FC Copenhagen | 22 | 4 | €6.0M | €8.6M | +30% |
| #6 | Pontus Texel FC Midtjylland | 22 | 4 | €200K | €287K | +30% |
| #7 | Christian Friedrich Bröndby IF | 23 | 3 | €200K | €267K | +25% |
| #8 | Marius Elvius Vejle Boldklub | 24 | 2 | €850K | €1.1M | +20% |
| #9 | Oliver Villadsen Bröndby IF | 24 | 2 | €3.0M | €3.7M | +20% |
| #10 | Thomas Gundelund Vejle Boldklub | 24 | 2 | €750K | €932K | +20% |
| #11 | Casper Gedsted Aalborg BK | 24 | 2 | €150K | €186K | +20% |
| #12 | Oscar Fuglsang Silkeborg IF | 24 | 2 | €150K | €186K | +20% |
| #13 | Magnus Lysholm Hvidovre IF | 24 | 2 | €300K | €373K | +20% |
| #14 | Anders Dahl FC Fredericia | 24 | 2 | €250K | €311K | +20% |
| #15 | Adam Gabriel FC Midtjylland | 25 | 1 | €750K | €867K | +14% |
| #16 | Oliver Olsen Randers FC | 25 | 1 | €1.8M | €2.1M | +14% |
| #17 | Mikkel Lassen AC Horsens | 25 | 1 | €400K | €462K | +14% |
| #18 | Tobias Klysner Sönderjyske Fodbold | 25 | 1 | €400K | €462K | +14% |
| #19 | Fabinho FCV Farul Constanta | 25 | 1 | €200K | €231K | +14% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Viborg FF's Hjalte Bidstrup has the highest Risk-Adjusted Upside at 69.6. That means Hjalte Bidstrup has 19% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Randers FC's Sabil Hansen with a 69.6 RAU (19% upside, 0% uncertainty). Third is Yoram Zague of FC Copenhagen with a 69.6 RAU (19% 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 | Hjalte Bidstrup Viborg FF | €893K | €790K-996K | +19% | 69.6 |
| #2 | Sabil Hansen Randers FC | €714K | €632K-797K | +19% | 69.6 |
| #3 | Yoram Zague FC Copenhagen | €3.0M | €2.6M-3.3M | +19% | 69.6 |
| #4 | Lasse Flø Vejle Boldklub | €476K | €422K-531K | +19% | 69.6 |
| #5 | Rodrigo Huescas FC Copenhagen | €6.6M | €6.0M-7.3M | +10% | 46.5 |
| #6 | Pontus Texel FC Midtjylland | €221K | €198K-243K | +10% | 46.5 |
| #7 | Anders Dahl FC Fredericia | €268K | €241K-294K | +7% | 33.0 |
| #8 | Casper Gedsted Aalborg BK | €161K | €145K-177K | +7% | 33.0 |
| #9 | Oscar Fuglsang Silkeborg IF | €161K | €145K-177K | +7% | 33.0 |
| #10 | Magnus Lysholm Hvidovre IF | €321K | €289K-353K | +7% | 33.0 |
| #11 | Marius Elvius Vejle Boldklub | €910K | €819K-1.0M | +7% | 33.0 |
| #12 | Oliver Villadsen Bröndby IF | €3.2M | €2.9M-3.5M | +7% | 33.0 |
| #13 | Thomas Gundelund Vejle Boldklub | €803K | €723K-883K | +7% | 33.0 |
| #14 | Christian Friedrich Bröndby IF | €212K | €191K-233K | +6% | 27.6 |
| #15 | Ștefan Vlădoiu Universitatea Craiova | €721K | €649K-793K | +3% | 14.4 |
| #16 | Luka Hujber Vejle Boldklub | €360K | €324K-396K | +3% | 14.4 |
| #17 | Henry Uzochukwu FC Midtjylland | €206K | €185K-227K | +3% | 14.4 |
| #18 | Andreas Bruus Aalborg BK | €772K | €695K-849K | +3% | 14.4 |
| #19 | Oliver Olsen Randers FC | €1.8M | €1.7M-2.0M | +2% | 11.8 |
| #20 | Mikkel Lassen AC Horsens | €410K | €369K-451K | +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: right-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)
Esbjerg fB's Nikolaj Hagelskjaer in the 30+ age bracket has the highest Age-Share Concentration at +-19.6%. That means Kevin Mbabu captures 31.7% of total market value while representing only 51.3% of players in their age group-showing dominant elite status.
In second is FC Nordsjaelland's Peter Ankersen with a +-19.6% ASC (31.7% value share vs 51.3% player share in 30+ bracket). Third is Anthony D'Alberto of Aarhus GF with a +-19.6% ASC (31.7% value vs 51.3% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-19.6% ASC means the player captures -19.6% 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 | Nikolaj Hagelskjaer Esbjerg fB | 30+ | 31.7% | 51.3% | -19.6% |
| #2 | Peter Ankersen FC Nordsjaelland | 30+ | 31.7% | 51.3% | -19.6% |
| #3 | Anthony D'Alberto Aarhus GF | 30+ | 31.7% | 51.3% | -19.6% |
| #4 | Jordan Ikoko FC Dinamo 1948 | 30+ | 31.7% | 51.3% | -19.6% |
| #5 | Kristoffer Pallesen Aalborg BK | 30+ | 31.7% | 51.3% | -19.6% |
| #6 | Romario Benzar FC Botosani | 30+ | 31.7% | 51.3% | -19.6% |
| #7 | Svenn Crone FC Fredericia | 30+ | 31.7% | 51.3% | -19.6% |
| #8 | Magnus Fredslund Hvidovre IF | 30+ | 31.7% | 51.3% | -19.6% |
| #9 | Kevin Mbabu FC Midtjylland | 30+ | 31.7% | 51.3% | -19.6% |
| #10 | Rune Frantsen AC Horsens | 30+ | 31.7% | 51.3% | -19.6% |
| #11 | Christoffer Remmer FC Copenhagen | 30+ | 31.7% | 51.3% | -19.6% |
| #12 | Damien Dussaut UTA Arad | 30+ | 31.7% | 51.3% | -19.6% |
| #13 | Andreas Oggesen Sönderjyske Fodbold | 30+ | 31.7% | 51.3% | -19.6% |
| #14 | Dino Mikanovic FC Universitatea Cluj | 30+ | 31.7% | 51.3% | -19.6% |
| #15 | Mikkel Hedegaard Sönderjyske Fodbold | 30+ | 31.7% | 51.3% | -19.6% |
| #16 | Jens Martin Gammelby Silkeborg IF | 30+ | 31.7% | 51.3% | -19.6% |
| #17 | Jeppe Svenningsen Vendsyssel FF | 30+ | 31.7% | 51.3% | -19.6% |
| #18 | Sean Klaiber Bröndby IF | 30+ | 31.7% | 51.3% | -19.6% |
| #19 | Karlo Bartolec FC Copenhagen | 30+ | 31.7% | 51.3% | -19.6% |
| #20 | Kerim Memija Hobro IK | 30+ | 31.7% | 51.3% | -19.6% |
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: 4 immediate targets, 10 standard acquisitions, 0 watch-list prospects, 16 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 €600K. 0 undervalued, 13 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Emil Sögaard Silkeborg IF | €200K | €350K | -0.53 | Good Value |
Henry Uzochukwu FC Midtjylland | €200K | €350K | -0.53 | Good Value |
Casper Gedsted Aalborg BK | €150K | €350K | -0.50 | Fair Value |
Oscar Fuglsang Silkeborg IF | €150K | €350K | -0.50 | Fair Value |
Jacob Buus Jacobsen AC Horsens | €250K | €350K | -0.47 | Fair Value |
Robin Schouten Sönderjyske Fodbold | €300K | €350K | -0.41 | Fair Value |
Peter Ankersen FC Nordsjaelland | €150K | €350K | -0.40 | Fair Value |
Magnus Fredslund Hvidovre IF | €150K | €350K | -0.40 | Fair Value |
Rune Frantsen AC Horsens | €150K | €350K | -0.40 | Fair Value |
Christoffer Remmer FC Copenhagen | €150K | €350K | -0.40 | Fair Value |
Mikkel Hedegaard Sönderjyske Fodbold | €150K | €350K | -0.40 | Fair Value |
Jeppe Svenningsen Vendsyssel FF | €150K | €350K | -0.40 | Fair Value |
Jeppe Simonsen Sönderjyske Fodbold | €150K | €350K | -0.40 | Fair Value |
Mathias Haarup Hobro IK | €150K | €350K | -0.40 | Fair Value |
Anders Randrup FC Vestsjaelland | €150K | €350K | -0.40 | Fair Value |
Alexander Fischer Randers FC | €150K | €350K | -0.40 | Fair Value |
Ricki Olsen FC Helsingör | €150K | €350K | -0.40 | Fair Value |
Fabinho FCV Farul Constanta | €200K | €350K | -0.40 | Fair Value |
Nicholas Gotfredsen Hobro IK | €150K | €350K | -0.40 | Fair Value |
Lasse Fosgaard Lyngby Boldklub | €150K | €350K | -0.40 | Fair Value |
How We Rank Superliga Right-Backs
Our Analytical Strength Index is calibrated specifically for right-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 RB
Historical Achievement Index (35%)
Peak career market value for Superliga right-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 right-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.
RB 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 right-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 Right-Backs in the 2024-25 season
Who are the most valuable Right-Backs in the Superliga in 2024-25?
The most valuable right-back in the Superliga in 2024-25 is Rodrigo Huescas, who is worth €6.0M and plays for FC Copenhagen. The second most valuable is Cristian Manea (€3.5M, FC Rapid 1923), followed by Oliver Villadsen (€3.0M, Bröndby IF). Our database tracks 76 Superliga Right-Backs with comprehensive market valuations updated for the 2024-25 season.
How are Superliga Right-Backs ranked?
Superliga Right-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Right-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 Right-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 right-back from the Superliga?
Transfer fees for Superliga Right-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked right-back Rodrigo Huescas (market value: €6.0M), estimated transfer fees would range from €4.8M to €8.4M 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 Right-Backs?
Our 1-year forecast model projects market value changes for Superliga Right-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 right-back data come from?
Our Superliga right-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.