Best Right-Backs in the La Liga (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: La Liga Right-Backs 2026-27
Our database tracked 41 La Liga Right-Backs in the 2026-27 season, representing 20 clubs with a combined market value of €389.2M. The average market value for La Liga Right-Backs was €9.5M, with the average age at 28 years old.
The most valuable right-back in the La Liga was Trent Alexander-Arnold, worth €70.0M and played for Real Madrid at 27 years old. The top 5 Right-Backs averaged €38.6M in market value, including Jules Koundé and Marcos Llorente.
Age distribution showed the youngest tracked right-back was Héctor Fort (19 years, Elche CF, €12.0M), while the oldest was Allan Nyom (38 years, Getafe CF, €200K). Research shows Right-Backs typically peak at age 27.
Historical analysis showed 14 Right-Backs (34%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The La Liga market for Right-Backs remained actively developing with emerging talent in the 2026-27 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 La Liga
Interactive bubble chart showing predicted 2-year growth vs current age for all La Liga Right-Backs. Identify undervalued assets and track market momentum across 20 clubs with €389.2M combined value.
Age Distribution: La Liga Right-Backs
The La Liga RB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (14 players, 34% of market). The 27-29 age group holds the most value at €207.0M, averaging €18.8M per player.
Top Right-Backs by Age Bracket
U21 Years (1 players)
21-23 Years (8 players)
24-26 Years (7 players)
27-29 Years (11 players)
Market Value Distribution
Elite Tier Concentration
The top 5 Right-Backs (12% of players) control €193.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 5% of the La Liga RB pool.
Elite (€50M+)
High (€15-30M)
Mid (€5-15M)
Club Distribution: La Liga Right-Backs
Among 20 La Liga clubs, Real Madrid leads with 2 Right-Backs worth €77.0M (averaging €38.5M per player). The top 10 clubs account for 56% of tracked Right-Backs.
Real Madrid (2 Right-Backs)
FC Barcelona (2 Right-Backs)
Atlético de Madrid (2 Right-Backs)
Celta de Vigo (3 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.
Trent Alexander-Arnold
Real Madrid • 27 years old
€74.0M
€70.0M
-5.4%
Expected: €63.8M
92.1
Jules Koundé
FC Barcelona • 27 years old
€68.7M
€65.0M
-5.4%
Expected: €59.2M
91.1
Marcos Llorente
Atlético de Madrid • 31 years old
€28.4M
€22.0M
-22.6%
Expected: €18.2M
74.3
Andrei Rațiu
Rayo Vallecano • 27 years old
€19.0M
€18.0M
-5.4%
Expected: €15.8M
71.4
Óscar Mingueza
Celta de Vigo • 27 years old
€19.0M
€18.0M
-5.4%
Expected: €15.8M
71.4
Jon Aramburu
Real Sociedad • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €16.1M
70.4
Omar El Hilali
RCD Espanyol Barcelona • 22 years old
€13.0M
€15.0M
+15.6%
Expected: €15.9M
70.0
Juanlu Sánchez
Sevilla FC • 22 years old
€13.0M
€15.0M
+15.6%
Expected: €15.9M
69.8
Nahuel Molina
Atlético de Madrid • 28 years old
€19.4M
€15.0M
-22.6%
Expected: €13.1M
69.2
José Ángel Carmona
Sevilla FC • 24 years old
€10.4M
€12.0M
+15.6%
Expected: €12.3M
67.2
Héctor Fort
Elche CF • 19 years old
€10.4M
€12.0M
+15.6%
Expected: €14.3M
65.2
Arnau Martínez
Girona FC • 23 years old
€8.6M
€10.0M
+15.6%
Expected: €10.7M
61.8
Santiago Mouriño
Villarreal CF • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
61.3
João Cancelo
FC Barcelona • 32 years old
€12.9M
€10.0M
-22.6%
Expected: €8.8M
61.2
Jesús Areso
Athletic Bilbao • 26 years old
€8.6M
€10.0M
+15.6%
Expected: €10.3M
60.4
Daniel Carvajal
Real Madrid • 34 years old
€9.0M
€7.0M
-22.6%
Expected: €6.1M
57.0
Sergio Carreira
Celta de Vigo • 25 years old
€5.2M
€6.0M
+15.6%
Expected: €5.9M
54.5
Pablo Maffeo
RCD Mallorca • 28 years old
€6.5M
€5.0M
-22.6%
Expected: €4.4M
52.0
Pau Navarro
Villarreal CF • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.5M
52.0
Juan Iglesias
Getafe CF • 27 years old
€5.3M
€5.0M
-5.4%
Expected: €4.4M
51.9
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)
Sevilla FC's José Ángel Carmona at 24 years old has the highest Pre-Peak Value Efficiency at 2.00×. That means José Ángel Carmona is valued 2.00× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Villarreal CF's Santiago Mouriño, who is 24 years old, with a 1.67× PPVE. Third is Jon Aramburu of Real Sociedad, who is 23 years old with a 1.50× 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 2.00× means the player is worth 100% 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 | José Ángel Carmona Sevilla FC | 24 | 24-26 | €12.0M | €6.0M | 2.00× |
| #2 | Santiago Mouriño Villarreal CF | 24 | 24-26 | €10.0M | €6.0M | 1.67× |
| #3 | Jon Aramburu Real Sociedad | 23 | 21-23 | €15.0M | €10.0M | 1.50× |
| #4 | Juanlu Sánchez Sevilla FC | 22 | 21-23 | €15.0M | €10.0M | 1.50× |
| #5 | Omar El Hilali RCD Espanyol Barcelona | 22 | 21-23 | €15.0M | €10.0M | 1.50× |
| #6 | Sergio Carreira Celta de Vigo | 25 | 24-26 | €6.0M | €6.0M | 1.00× |
| #7 | Arnau Martínez Girona FC | 23 | 21-23 | €10.0M | €10.0M | 1.00× |
| #8 | Héctor Fort Elche CF | 19 | U21 | €12.0M | €12.0M | 1.00× |
| #9 | Pau Navarro Villarreal CF | 21 | 21-23 | €5.0M | €10.0M | 0.50× |
| #10 | Javi Rueda Celta de Vigo | 24 | 24-26 | €3.0M | €6.0M | 0.50× |
| #11 | Ángel Ortiz Real Betis Balompié | 21 | 21-23 | €4.0M | €10.0M | 0.40× |
| #12 | Alex Freeman Villarreal CF | 21 | 21-23 | €3.5M | €10.0M | 0.35× |
| #13 | Rubén Sánchez RCD Espanyol Barcelona | 25 | 24-26 | €1.5M | €6.0M | 0.25× |
| #14 | Hugo Rincón Girona FC | 23 | 21-23 | €2.5M | €10.0M | 0.25× |
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)
Elche CF's Héctor Fort at 19 years old has the highest Return-to-Peak Potential at +40%. That means Héctor Fort is projected to appreciate 40% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is Real Betis Balompié's Ángel Ortiz, who is 21 years old, with a +30% RPP (5 years to peak). Third is Pau Navarro of Villarreal CF, 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 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 | Héctor Fort Elche CF | 19 | 7 | €12.0M | €19.9M | +40% |
| #2 | Ángel Ortiz Real Betis Balompié | 21 | 5 | €4.0M | €5.7M | +30% |
| #3 | Pau Navarro Villarreal CF | 21 | 5 | €5.0M | €7.2M | +30% |
| #4 | Alex Freeman Villarreal CF | 21 | 5 | €3.5M | €5.0M | +30% |
| #5 | Juanlu Sánchez Sevilla FC | 22 | 4 | €15.0M | €20.1M | +25% |
| #6 | Omar El Hilali RCD Espanyol Barcelona | 22 | 4 | €15.0M | €20.1M | +25% |
| #7 | Arnau Martínez Girona FC | 23 | 3 | €10.0M | €12.4M | +20% |
| #8 | Hugo Rincón Girona FC | 23 | 3 | €2.5M | €3.1M | +20% |
| #9 | Jon Aramburu Real Sociedad | 23 | 3 | €15.0M | €18.6M | +20% |
| #10 | Javi Rueda Celta de Vigo | 24 | 2 | €3.0M | €3.5M | +14% |
| #11 | José Ángel Carmona Sevilla FC | 24 | 2 | €12.0M | €13.9M | +14% |
| #12 | Santiago Mouriño Villarreal CF | 24 | 2 | €10.0M | €11.6M | +14% |
| #13 | Sergio Carreira Celta de Vigo | 25 | 1 | €6.0M | €6.5M | +7% |
| #14 | Rubén Sánchez RCD Espanyol Barcelona | 25 | 1 | €1.5M | €1.6M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Elche CF's Héctor Fort has the highest Risk-Adjusted Upside at 58.0. That means Héctor Fort has 19% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Villarreal CF's Pau Navarro with a 33.7 RAU (10% upside, 0% uncertainty). Third is Alex Freeman of Villarreal CF with a 33.7 RAU (10% 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 | Héctor Fort Elche CF | €14.3M | €12.3M-16.3M | +19% | 58.0 |
| #2 | Pau Navarro Villarreal CF | €5.5M | €4.8M-6.3M | +10% | 33.7 |
| #3 | Alex Freeman Villarreal CF | €3.9M | €3.3M-4.4M | +10% | 33.7 |
| #4 | Ángel Ortiz Real Betis Balompié | €4.4M | €3.8M-5.0M | +10% | 33.7 |
| #5 | Jon Aramburu Real Sociedad | €16.1M | €14.1M-18.0M | +7% | 27.5 |
| #6 | Arnau Martínez Girona FC | €10.7M | €9.4M-12.0M | +7% | 27.5 |
| #7 | Hugo Rincón Girona FC | €2.7M | €2.4M-3.0M | +7% | 27.5 |
| #8 | Juanlu Sánchez Sevilla FC | €15.9M | €14.0M-17.8M | +6% | 23.0 |
| #9 | Omar El Hilali RCD Espanyol Barcelona | €15.9M | €14.0M-17.8M | +6% | 23.0 |
| #10 | Jesús Areso Athletic Bilbao | €10.3M | €9.1M-11.5M | +3% | 12.0 |
| #11 | Mateu Morey RCD Mallorca | €1.5M | €1.4M-1.7M | +3% | 12.0 |
| #12 | Javi Rueda Celta de Vigo | €3.1M | €2.7M-3.4M | +2% | 9.8 |
| #13 | José Ángel Carmona Sevilla FC | €12.3M | €10.8M-13.8M | +2% | 9.8 |
| #14 | Santiago Mouriño Villarreal CF | €10.2M | €9.0M-11.5M | +2% | 9.8 |
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)
RCD Mallorca's Pablo Maffeo in the 27-29 age bracket has the highest Age-Share Concentration at +26.4%. That means Trent Alexander-Arnold captures 53.2% of total market value while representing only 26.8% of players in their age group-showing dominant elite status.
In second is Athletic Bilbao's Andoni Gorosabel with a +26.4% ASC (53.2% value share vs 26.8% player share in 27-29 bracket). Third is Trent Alexander-Arnold of Real Madrid with a +26.4% ASC (53.2% value vs 26.8% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +26.4% ASC means the player captures 26.4% 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 | Pablo Maffeo RCD Mallorca | 27-29 | 53.2% | 26.8% | +26.4% |
| #2 | Andoni Gorosabel Athletic Bilbao | 27-29 | 53.2% | 26.8% | +26.4% |
| #3 | Trent Alexander-Arnold Real Madrid | 27-29 | 53.2% | 26.8% | +26.4% |
| #4 | Óscar Mingueza Celta de Vigo | 27-29 | 53.2% | 26.8% | +26.4% |
| #5 | Thierry Correia Valencia CF | 27-29 | 53.2% | 26.8% | +26.4% |
| #6 | Juan Iglesias Getafe CF | 27-29 | 53.2% | 26.8% | +26.4% |
| #7 | Jules Koundé FC Barcelona | 27-29 | 53.2% | 26.8% | +26.4% |
| #8 | Nahuel Molina Atlético de Madrid | 27-29 | 53.2% | 26.8% | +26.4% |
| #9 | Valentin Rosier CA Osasuna | 27-29 | 53.2% | 26.8% | +26.4% |
| #10 | Andrei Rațiu Rayo Vallecano | 27-29 | 53.2% | 26.8% | +26.4% |
| #11 | Víctor García Levante UD | 27-29 | 53.2% | 26.8% | +26.4% |
| #12 | Allan Nyom Getafe CF | 30+ | 14.4% | 34.1% | -19.7% |
| #13 | Jeremy Toljan Levante UD | 30+ | 14.4% | 34.1% | -19.7% |
| #14 | Daniel Carvajal Real Madrid | 30+ | 14.4% | 34.1% | -19.7% |
| #15 | Dimitri Foulquier Valencia CF | 30+ | 14.4% | 34.1% | -19.7% |
| #16 | Jonny Otto Deportivo Alavés | 30+ | 14.4% | 34.1% | -19.7% |
| #17 | João Cancelo FC Barcelona | 30+ | 14.4% | 34.1% | -19.7% |
| #18 | Héctor Bellerín Real Betis Balompié | 30+ | 14.4% | 34.1% | -19.7% |
| #19 | Nacho Vidal Real Oviedo | 30+ | 14.4% | 34.1% | -19.7% |
| #20 | Iñigo Lekue Athletic Bilbao | 30+ | 14.4% | 34.1% | -19.7% |
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, 8 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 €70.0M. 2 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Sergio Carreira Celta de Vigo | €6.0M | €4.0M | -2.00 | Undervalued |
Víctor García Levante UD | €1.0M | €4.0M | -2.00 | Undervalued |
Pau Navarro Villarreal CF | €5.0M | €4.0M | -1.00 | Good Value |
Daniel Carvajal Real Madrid | €7.0M | €4.0M | -1.00 | Good Value |
Jules Koundé FC Barcelona | €65.0M | €4.0M | -1.00 | Good Value |
Nahuel Molina Atlético de Madrid | €15.0M | €4.0M | -1.00 | Good Value |
Hugo Rincón Girona FC | €2.5M | €4.0M | -0.67 | Good Value |
Allan Nyom Getafe CF | €200K | €4.0M | -0.59 | Good Value |
Álvaro Odriozola Real Sociedad | €800K | €4.0M | -0.24 | Fair Value |
Kiko Femenía Getafe CF | €800K | €4.0M | -0.24 | Fair Value |
Dimitri Foulquier Valencia CF | €1.2M | €4.0M | 0.00 | Fair Value |
João Cancelo FC Barcelona | €10.0M | €4.0M | 0.00 | Fair Value |
Pablo Maffeo RCD Mallorca | €5.0M | €4.0M | 0.00 | Fair Value |
Iñigo Lekue Athletic Bilbao | €1.2M | €4.0M | 0.00 | Fair Value |
Marcos Llorente Atlético de Madrid | €22.0M | €4.0M | 0.00 | Fair Value |
Trent Alexander-Arnold Real Madrid | €70.0M | €4.0M | 0.00 | Fair Value |
Óscar Mingueza Celta de Vigo | €18.0M | €4.0M | 0.00 | Fair Value |
Thierry Correia Valencia CF | €3.0M | €4.0M | 0.00 | Fair Value |
Mateu Morey RCD Mallorca | €1.5M | €4.0M | 0.00 | Fair Value |
Juan Iglesias Getafe CF | €5.0M | €4.0M | 0.00 | Fair Value |
How We Rank La Liga 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 La Liga 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 La Liga 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%)
La Liga receives Top 5 European league premium for competitive intensity and quality of opposition.
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 La Liga Right-Backs in the 2026-27 season
Who are the most valuable Right-Backs in the La Liga in 2026-27?
The most valuable right-back in the La Liga in 2026-27 is Trent Alexander-Arnold, who is worth €70.0M and plays for Real Madrid. The second most valuable is Jules Koundé (€65.0M, FC Barcelona), followed by Marcos Llorente (€22.0M, Atlético de Madrid). Our database tracks 41 La Liga Right-Backs with comprehensive market valuations updated for the 2026-27 season.
How are La Liga Right-Backs ranked?
La Liga 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 La Liga 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 La Liga?
Transfer fees for La Liga Right-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked right-back Trent Alexander-Arnold (market value: €70.0M), estimated transfer fees would range from €56.0M to €98.0M 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 La Liga transactions.
What is the value forecast for La Liga Right-Backs?
Our 1-year forecast model projects market value changes for La Liga 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 La Liga right-back data come from?
Our La Liga 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 La Liga sources and updated monthly for the 2026-27 season to ensure accuracy for recruitment and investment decisions.