Best Right Wingers in the Superliga (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: Superliga Right Wingers 2025-26
Our database tracks 52 Superliga Right Wingers in the 2025-26 season, representing 25 clubs with a combined market value of €50.9M. The average market value for Superliga Right Wingers is €978K, with the average age at 28 years old.
The most valuable right winger in the Superliga is Darío Osorio, worth €10.0M and playing for FC Midtjylland at 22 years old. The top 5 Right Wingers average €4.5M in market value, including Tobias Bech and Serginho.
Age distribution shows the youngest tracked right winger is Adrian Mazilu (20 years, FC Dinamo 1948, €2.5M), while the oldest is Tobias Mikkelsen (39 years, FC Nordsjaelland, €250K). Research shows Right Wingers typically peak at age 26.
Our 1-year forecast model projects 16 Right Wingers (31%) 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 Right Wingers 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 Right Wingers. Identify undervalued assets and track market momentum across 25 clubs with €50.9M 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 Wingers
The Superliga RW market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (16 players, 31% of market). The 24-26 age group holds the most value at €18.0M, averaging €1.3M per player.
Top Right Wingers by Age Bracket
U21 Years (2 players)
21-23 Years (5 players)
24-26 Years (14 players)
27-29 Years (15 players)
Market Value Distribution
Elite Tier Concentration
The top 6 Right Wingers (12% of players) control €25.0M
Market Tiers
Market structure shows distributed value with mid (€5-15m) tier representing 2% of the Superliga RW pool.
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Superliga Right Wingers
Among 25 Superliga clubs, FC Midtjylland leads with 3 Right Wingers worth €11.5M (averaging €3.8M per player). The top 10 clubs account for 65% of tracked Right Wingers.
FC Midtjylland (3 Right Wingers)
Aarhus GF (4 Right Wingers)
Aalborg BK (4 Right Wingers)
FC Nordsjaelland (5 Right Wingers)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Darío Osorio
FC Midtjylland • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.6M
61.5
Tobias Bech
Aarhus GF • 24 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
49.4
Serginho
Viborg FF • 25 years old
€2.6M
€3.0M
+15.6%
Expected: €2.9M
41.7
Jordan Larsson
FC Copenhagen • 29 years old
€3.9M
€3.0M
-22.6%
Expected: €2.5M
41.2
Mathias Jørgensen
Aalborg BK • 25 years old
€2.2M
€2.5M
+15.6%
Expected: €2.4M
39.5
Adrian Mazilu
FC Dinamo 1948 • 20 years old
€2.2M
€2.5M
+15.6%
Expected: €2.9M
39.1
Ola Solbakken
FC Nordsjaelland • 27 years old
€2.6M
€2.5M
-5.4%
Expected: €2.2M
39.0
Sebastian Jørgensen
Aarhus GF • 26 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
36.3
Allan Sousa
Aalborg BK • 29 years old
€1.9M
€1.5M
-22.6%
Expected: €1.2M
32.8
Mads Agger
Sönderjyske Fodbold • 26 years old
€1.0M
€1.2M
+15.6%
Expected: €1.2M
30.1
Akinkunmi Amoo
FC Copenhagen • 24 years old
€865K
€1.0M
+15.6%
Expected: €1.0M
28.8
Christian Gammelgaard
Vejle Boldklub • 23 years old
€778K
€900K
+15.6%
Expected: €964K
28.0
Isaac Atanga
FC Nordsjaelland • 26 years old
€865K
€1.0M
+15.6%
Expected: €1.0M
27.9
Alexandru Dobre
FC Rapid 1923 • 27 years old
€1.1M
€1.0M
-5.4%
Expected: €866K
27.9
Lirim Qamili
Sönderjyske Fodbold • 28 years old
€1.3M
€1.0M
-22.6%
Expected: €866K
27.9
Mustapha Bundu
Aarhus GF • 29 years old
€1.3M
€1.0M
-22.6%
Expected: €820K
27.8
Danny Armstrong
FC Dinamo 1948 • 28 years old
€1.2M
€900K
-22.6%
Expected: €779K
26.6
Edward Chilufya
FC Midtjylland • 26 years old
€735K
€850K
+15.6%
Expected: €875K
25.9
Andres Jasson
Aalborg BK • 24 years old
€649K
€750K
+15.6%
Expected: €768K
25.3
Marrony
FC Midtjylland • 27 years old
€740K
€700K
-5.4%
Expected: €606K
23.6
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 Midtjylland's Darío Osorio at 22 years old has the highest Pre-Peak Value Efficiency at 33.33×. That means Darío Osorio is valued 33.33× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Aarhus GF's Tobias Bech, who is 24 years old, with a 4.00× PPVE. Third is Christian Gammelgaard of Vejle Boldklub, who is 23 years old with a 3.00× 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 33.33× means the player is worth 3233% 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 | Darío Osorio FC Midtjylland | 22 | 21-23 | €10.0M | €300K | 33.33× |
| #2 | Tobias Bech Aarhus GF | 24 | 24-26 | €4.0M | €1.0M | 4.00× |
| #3 | Christian Gammelgaard Vejle Boldklub | 23 | 21-23 | €900K | €300K | 3.00× |
| #4 | Serginho Viborg FF | 25 | 24-26 | €3.0M | €1.0M | 3.00× |
| #5 | Mathias Jørgensen Aalborg BK | 25 | 24-26 | €2.5M | €1.0M | 2.50× |
| #6 | Akinkunmi Amoo FC Copenhagen | 24 | 24-26 | €1.0M | €1.0M | 1.00× |
| #7 | Adrian Mazilu FC Dinamo 1948 | 20 | U21 | €2.5M | €2.5M | 1.00× |
| #8 | Jeffrey Adjei-Broni Hvidovre IF | 22 | 21-23 | €300K | €300K | 1.00× |
| #9 | Johannes Selvén Odense Boldklub | 22 | 21-23 | €250K | €300K | 0.83× |
| #10 | Andres Jasson Aalborg BK | 24 | 24-26 | €750K | €1.0M | 0.75× |
| #11 | Elies Mahmoud Randers FC | 25 | 24-26 | €650K | €1.0M | 0.65× |
| #12 | Tobias Augustinus-Jensen Odense Boldklub | 21 | 21-23 | €175K | €300K | 0.58× |
| #13 | Adama Fofana Vejle Boldklub | 25 | 24-26 | €250K | €1.0M | 0.25× |
| #14 | Nils Mortimer Viborg FF | 25 | 24-26 | €200K | €1.0M | 0.20× |
| #15 | Sindre Walle Egeli FC Nordsjaelland | 20 | U21 | €250K | €2.5M | 0.10× |
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 Dinamo 1948's Adrian Mazilu at 20 years old has the highest Return-to-Peak Potential at +35%. That means Adrian Mazilu is projected to appreciate 35% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is FC Nordsjaelland's Sindre Walle Egeli, who is 20 years old, with a +35% RPP (6 years to peak). Third is Tobias Augustinus-Jensen of Odense Boldklub, who is 21 years old with a +30% RPP (5 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 35% RPP means the player is expected to gain 35% 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 | Adrian Mazilu FC Dinamo 1948 | 20 | 6 | €2.5M | €3.9M | +35% |
| #2 | Sindre Walle Egeli FC Nordsjaelland | 20 | 6 | €250K | €386K | +35% |
| #3 | Tobias Augustinus-Jensen Odense Boldklub | 21 | 5 | €175K | €252K | +30% |
| #4 | Darío Osorio FC Midtjylland | 22 | 4 | €10.0M | €13.4M | +25% |
| #5 | Johannes Selvén Odense Boldklub | 22 | 4 | €250K | €334K | +25% |
| #6 | Jeffrey Adjei-Broni Hvidovre IF | 22 | 4 | €300K | €401K | +25% |
| #7 | Christian Gammelgaard Vejle Boldklub | 23 | 3 | €900K | €1.1M | +20% |
| #8 | Tobias Bech Aarhus GF | 24 | 2 | €4.0M | €4.6M | +14% |
| #9 | Andres Jasson Aalborg BK | 24 | 2 | €750K | €867K | +14% |
| #10 | Akinkunmi Amoo FC Copenhagen | 24 | 2 | €1.0M | €1.2M | +14% |
| #11 | Mathias Jørgensen Aalborg BK | 25 | 1 | €2.5M | €2.7M | +7% |
| #12 | Adama Fofana Vejle Boldklub | 25 | 1 | €250K | €269K | +7% |
| #13 | Serginho Viborg FF | 25 | 1 | €3.0M | €3.2M | +7% |
| #14 | Elies Mahmoud Randers FC | 25 | 1 | €650K | €699K | +7% |
| #15 | Nils Mortimer Viborg FF | 25 | 1 | €200K | €215K | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
FC Nordsjaelland's Sindre Walle Egeli has the highest Risk-Adjusted Upside at 30.9. That means Sindre Walle Egeli has 15% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is FC Dinamo 1948's Adrian Mazilu with a 30.9 RAU (15% upside, 0% uncertainty). Third is Tobias Augustinus-Jensen of Odense Boldklub with a 22.5 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 30.9 means the upside is 30.9× 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 | Sindre Walle Egeli FC Nordsjaelland | €287K | €227K-346K | +15% | 30.9 |
| #2 | Adrian Mazilu FC Dinamo 1948 | €2.9M | €2.3M-3.5M | +15% | 30.9 |
| #3 | Tobias Augustinus-Jensen Odense Boldklub | €193K | €153K-233K | +10% | 22.5 |
| #4 | Christian Gammelgaard Vejle Boldklub | €964K | €790K-1.1M | +7% | 18.3 |
| #5 | Jeffrey Adjei-Broni Hvidovre IF | €318K | €260K-375K | +6% | 15.3 |
| #6 | Johannes Selvén Odense Boldklub | €265K | €217K-312K | +6% | 15.3 |
| #7 | Darío Osorio FC Midtjylland | €10.6M | €8.7M-12.5M | +6% | 15.3 |
| #8 | Peter Bjur Aarhus GF | €309K | €253K-364K | +3% | 8.0 |
| #9 | Mads Agger Sönderjyske Fodbold | €1.2M | €1.0M-1.5M | +3% | 8.0 |
| #10 | Magnus Warming Lyngby Boldklub | €360K | €295K-425K | +3% | 8.0 |
| #11 | Edward Chilufya FC Midtjylland | €875K | €718K-1.0M | +3% | 8.0 |
| #12 | Sebastian Jørgensen Aarhus GF | €2.1M | €1.7M-2.4M | +3% | 8.0 |
| #13 | Isaac Atanga FC Nordsjaelland | €1.0M | €844K-1.2M | +3% | 8.0 |
| #14 | Andres Jasson Aalborg BK | €768K | €630K-906K | +2% | 6.5 |
| #15 | Tobias Bech Aarhus GF | €4.1M | €3.4M-4.8M | +2% | 6.5 |
| #16 | Akinkunmi Amoo FC Copenhagen | €1.0M | €840K-1.2M | +2% | 6.5 |
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 winger position shows weak 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)
Silkeborg IF's Kasper Kusk in the 30+ age bracket has the highest Age-Share Concentration at +-23.2%. That means Berto captures 7.6% of total market value while representing only 30.8% of players in their age group-showing dominant elite status.
In second is Vejle Boldklub's Yeni Ngbakoto with a +-23.2% ASC (7.6% value share vs 30.8% player share in 30+ bracket). Third is Danny Amankwaa of Sönderjyske Fodbold with a +-23.2% ASC (7.6% value vs 30.8% 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 | Kasper Kusk Silkeborg IF | 30+ | 7.6% | 30.8% | -23.2% |
| #2 | Yeni Ngbakoto Vejle Boldklub | 30+ | 7.6% | 30.8% | -23.2% |
| #3 | Danny Amankwaa Sönderjyske Fodbold | 30+ | 7.6% | 30.8% | -23.2% |
| #4 | Rilwan Hassan Sönderjyske Fodbold | 30+ | 7.6% | 30.8% | -23.2% |
| #5 | Anders Holvad Hobro IK | 30+ | 7.6% | 30.8% | -23.2% |
| #6 | Cristian Ponde AFC Unirea 04 Slobozia | 30+ | 7.6% | 30.8% | -23.2% |
| #7 | Lucas Jensen Vejle Boldklub | 30+ | 7.6% | 30.8% | -23.2% |
| #8 | Tiemoko Konate Vendsyssel FF | 30+ | 7.6% | 30.8% | -23.2% |
| #9 | Berto FC Universitatea Cluj | 30+ | 7.6% | 30.8% | -23.2% |
| #10 | Frederik Börsting Aalborg BK | 30+ | 7.6% | 30.8% | -23.2% |
| #11 | Christian Sivebaek Viborg FF | 30+ | 7.6% | 30.8% | -23.2% |
| #12 | Tobias Mikkelsen FC Nordsjaelland | 30+ | 7.6% | 30.8% | -23.2% |
| #13 | Ernest Asante FC Nordsjaelland | 30+ | 7.6% | 30.8% | -23.2% |
| #14 | Alexander Baun Hobro IK | 30+ | 7.6% | 30.8% | -23.2% |
| #15 | Mark Leth Pedersen FC Helsingör | 30+ | 7.6% | 30.8% | -23.2% |
| #16 | Jesper Rasmussen Esbjerg fB | 30+ | 7.6% | 30.8% | -23.2% |
| #17 | Johannes Selvén Odense Boldklub | 21-23 | 22.9% | 9.6% | +13.2% |
| #18 | Christian Gammelgaard Vejle Boldklub | 21-23 | 22.9% | 9.6% | +13.2% |
| #19 | Jeffrey Adjei-Broni Hvidovre IF | 21-23 | 22.9% | 9.6% | +13.2% |
| #20 | Darío Osorio FC Midtjylland | 21-23 | 22.9% | 9.6% | +13.2% |
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: 0 immediate targets, 7 standard acquisitions, 0 watch-list prospects, 24 at peak.
BUY NOW - High Upside
No players in this category
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 €850K. 0 undervalued, 5 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Sindre Walle Egeli FC Nordsjaelland | €250K | €450K | -1.00 | Good Value |
Claudiu Micovschi ACSC FC Arges | €150K | €450K | -1.00 | Good Value |
Ernest Agyiri Randers FC | €275K | €450K | -0.77 | Good Value |
Lamine Ghezali UTA Arad | €350K | €450K | -0.64 | Good Value |
Nils Mortimer Viborg FF | €200K | €450K | -0.48 | Fair Value |
Adama Fofana Vejle Boldklub | €250K | €450K | -0.45 | Fair Value |
Michael Breij Sepsi OSK Sf. Gheorghe | €450K | €450K | -0.45 | Fair Value |
Kristian Kirkegaard Vejle Boldklub | €450K | €450K | -0.45 | Fair Value |
Peter Bjur Aarhus GF | €300K | €450K | -0.42 | Fair Value |
Danny Amankwaa Sönderjyske Fodbold | €150K | €450K | -0.40 | Fair Value |
Anders Holvad Hobro IK | €150K | €450K | -0.40 | Fair Value |
Tiemoko Konate Vendsyssel FF | €150K | €450K | -0.40 | Fair Value |
Mark Leth Pedersen FC Helsingör | €150K | €450K | -0.40 | Fair Value |
Magnus Warming Lyngby Boldklub | €350K | €450K | -0.39 | Fair Value |
Elies Mahmoud Randers FC | €650K | €450K | -0.21 | Fair Value |
Rilwan Hassan Sönderjyske Fodbold | €175K | €450K | -0.20 | Fair Value |
Tobias Augustinus-Jensen Odense Boldklub | €175K | €450K | -0.19 | Fair Value |
Dostonbek Khamdamov Pakhtakor Tashkent | €600K | €450K | -0.18 | Fair Value |
Andres Jasson Aalborg BK | €750K | €450K | -0.15 | Fair Value |
Edward Chilufya FC Midtjylland | €850K | €450K | -0.09 | Fair Value |
How We Rank Superliga Right Wingers
Our Analytical Strength Index is calibrated specifically for right wingers, 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 RW
Historical Achievement Index (35%)
Peak career market value for Superliga right wingers, 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 wingers, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Attackers with 2,200+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Attackers peak at 26 with fastest 7.0%/year decline (pace-dependent). 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.
RW Performance Benchmarks
Peak Age: 26 years (peak pace and finishing efficiency)
Decline Rate: 7.0% per year (fastest decline, pace-dependent position)
Optimal Minutes: 2,200-2,400 per season (high-intensity position requires rotation)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Attacker -7.0%/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: ±18% confidence interval (most volatile, form-dependent)
Research Foundation
• Dendir (2016): Age-performance curves for right wingers
• 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 Wingers in the 2025-26 season
Who are the most valuable Right Wingers in the Superliga in 2025-26?
The most valuable right winger in the Superliga in 2025-26 is Darío Osorio, who is worth €10.0M and plays for FC Midtjylland. The second most valuable is Tobias Bech (€4.0M, Aarhus GF), followed by Serginho (€3.0M, Viborg FF). Our database tracks 52 Superliga Right Wingers with comprehensive market valuations updated for the 2025-26 season.
How are Superliga Right Wingers ranked?
Superliga Right Wingers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Right Wingers. 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 Wingers peak?
Attackers typically peak at age 26, with the fastest decline rate of 7.0% per year after peak. This reflects the position's heavy reliance on pace, acceleration, and explosive power, which deteriorate faster than technical skills. Research by Carmichael et al. (2020) confirms that forwards peak earlier and decline faster than any other position. The optimal playing time is around 2,200-2,400 minutes per season.
How much does it cost to sign a top right winger from the Superliga?
Transfer fees for Superliga Right Wingers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked right winger Darío Osorio (market value: €10.0M), estimated transfer fees would range from €8.0M to €14.0M 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 Wingers?
Our 1-year forecast model projects market value changes for Superliga Right Wingers 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-attackers have ±18% volatility (most volatile due to form-dependency). 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 winger data come from?
Our Superliga right winger 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.