Best Right-Backs in the Serie A (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: Serie A Right-Backs 2023-24
Our database tracked 116 Serie A Right-Backs in the 2023-24 season, representing 33 clubs with a combined market value of €234.9M. The average market value for Serie A Right-Backs was €2.0M, with the average age at 29 years old.
The most valuable right-back in the Serie A was Denzel Dumfries, worth €25.0M and played for Inter Milan at 30 years old. The top 5 Right-Backs averaged €16.6M in market value, including Dodô and João Mário.
Age distribution showed the youngest tracked right-back was Buba Sangaré (18 years, Associazione Sportiva Roma, €1.0M), while the oldest was Jonathan (40 years, Inter Milan, €800K). Research shows Right-Backs typically peak at age 27.
Historical analysis showed 32 Right-Backs (28%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Serie A market for Right-Backs remained actively developing with emerging talent in the 2023-24 season.
Explore Market Size by Position in Serie A
Interactive bubble chart showing predicted 2-year growth vs current age for all Serie A Right-Backs. Identify undervalued assets and track market momentum across 33 clubs with €234.9M 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: Serie A Right-Backs
The Serie A RB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (52 players, 45% of market). The 30+ age group holds the most value at €78.8M, averaging €1.5M per player.
Top Right-Backs by Age Bracket
U21 Years (2 players)
21-23 Years (12 players)
24-26 Years (24 players)
27-29 Years (26 players)
Market Value Distribution
Elite Tier Concentration
The top 12 Right-Backs (10% of players) control €133.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 3% of the Serie A RB pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Serie A Right-Backs
Among 33 Serie A clubs, Juventus FC leads with 4 Right-Backs worth €29.6M (averaging €7.4M per player). The top 10 clubs account for 40% of tracked Right-Backs.
Juventus FC (4 Right-Backs)
Inter Milan (5 Right-Backs)
ACF Fiorentina (3 Right-Backs)
Associazione Sportiva Roma (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.
Denzel Dumfries
Inter Milan • 30 years old
€32.3M
€25.0M
-22.6%
Expected: €20.9M
77.0
Dodô
ACF Fiorentina • 27 years old
€15.6M
€18.0M
+15.6%
Expected: €18.5M
72.1
João Mário
Juventus FC • 26 years old
€13.0M
€15.0M
+15.6%
Expected: €14.7M
70.3
Emil Holm
Juventus FC • 26 years old
€11.2M
€13.0M
+15.6%
Expected: €12.7M
68.5
Zeki Çelik
Associazione Sportiva Roma • 29 years old
€15.5M
€12.0M
-22.6%
Expected: €10.6M
67.5
Giovanni Di Lorenzo
SSC Napoli • 32 years old
€12.9M
€10.0M
-22.6%
Expected: €8.4M
62.3
Devyne Rensch
Associazione Sportiva Roma • 23 years old
€7.4M
€8.5M
+15.6%
Expected: €9.0M
60.0
Tariq Lamptey
ACF Fiorentina • 25 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
59.2
Nadir Zortea
Bologna Football Club 1909 • 27 years old
€6.5M
€7.5M
+15.6%
Expected: €7.7M
57.4
Enrico Delprato
Parma Calcio 1913 • 26 years old
€5.2M
€6.0M
+15.6%
Expected: €5.9M
55.1
Adam Marusic
Società Sportiva Lazio S.p.A. • 33 years old
€6.5M
€5.0M
-22.6%
Expected: €4.4M
53.8
Alessandro Zanoli
SSC Napoli • 25 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
53.2
Sebastian Walukiewicz
US Sassuolo • 26 years old
€3.9M
€4.5M
+15.6%
Expected: €4.4M
51.4
Gabriele Zappa
Cagliari Calcio • 26 years old
€3.5M
€4.0M
+15.6%
Expected: €3.9M
49.9
Álex Jiménez
AC Milan • 21 years old
€3.5M
€4.0M
+15.6%
Expected: €4.6M
49.6
Ignace Van der Brempt
Como 1907 • 24 years old
€3.0M
€3.5M
+15.6%
Expected: €3.7M
49.2
Marcus Pedersen
Torino FC • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.4M
48.2
Mërgim Vojvoda
Como 1907 • 31 years old
€3.9M
€3.0M
-22.6%
Expected: €2.5M
43.2
Fabio Depaoli
UC Sampdoria • 29 years old
€3.9M
€3.0M
-22.6%
Expected: €2.7M
42.7
Elseid Hysaj
Società Sportiva Lazio S.p.A. • 32 years old
€3.2M
€2.5M
-22.6%
Expected: €2.1M
41.1
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)
Associazione Sportiva Roma's Devyne Rensch at 23 years old has the highest Pre-Peak Value Efficiency at 7.08×. That means Devyne Rensch is valued 7.08× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is ACF Fiorentina's Tariq Lamptey, who is 25 years old, with a 4.44× PPVE. Third is Álex Jiménez of AC Milan, who is 21 years old with a 3.33× 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 7.08× means the player is worth 608% 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 | Devyne Rensch Associazione Sportiva Roma | 23 | 21-23 | €8.5M | €1.2M | 7.08× |
| #2 | Tariq Lamptey ACF Fiorentina | 25 | 24-26 | €8.0M | €1.8M | 4.44× |
| #3 | Álex Jiménez AC Milan | 21 | 21-23 | €4.0M | €1.2M | 3.33× |
| #4 | Alessandro Zanoli SSC Napoli | 25 | 24-26 | €5.0M | €1.8M | 2.78× |
| #5 | Ignace Van der Brempt Como 1907 | 24 | 24-26 | €3.5M | €1.8M | 1.94× |
| #6 | Richie Sagrado Venezia FC | 22 | 21-23 | €2.0M | €1.2M | 1.67× |
| #7 | Danilo Veiga US Lecce | 23 | 21-23 | €2.0M | €1.2M | 1.67× |
| #8 | Ivan Smolcic Como 1907 | 25 | 24-26 | €2.5M | €1.8M | 1.39× |
| #9 | Filippo Missori US Sassuolo | 22 | 21-23 | €1.5M | €1.2M | 1.25× |
| #10 | Anthony Oyono Frosinone Calcio | 25 | 24-26 | €2.0M | €1.8M | 1.11× |
| #11 | Niccolò Pierozzi ACF Fiorentina | 24 | 24-26 | €1.8M | €1.8M | 1.00× |
| #12 | Tommaso Barbieri US Cremonese | 23 | 21-23 | €1.2M | €1.2M | 1.00× |
| #13 | Buba Sangaré Associazione Sportiva Roma | 18 | U21 | €1.0M | €1.0M | 1.00× |
| #14 | Antoine Hainaut Parma Calcio 1913 | 24 | 24-26 | €1.7M | €1.8M | 0.94× |
| #15 | Marco Palestra Cagliari Calcio | 21 | 21-23 | €1.0M | €1.2M | 0.83× |
| #16 | Othniël Raterink Cagliari Calcio | 20 | U21 | €450K | €1.0M | 0.45× |
| #17 | Daniel Oyegoke Hellas Verona | 23 | 21-23 | €500K | €1.2M | 0.42× |
| #18 | Mike Aidoo Inter Milan | 21 | 21-23 | €500K | €1.2M | 0.42× |
| #19 | Emanuel Ercolano UC Sampdoria | 23 | 21-23 | €350K | €1.2M | 0.29× |
| #20 | Yeferson Paz US Sassuolo | 24 | 24-26 | €500K | €1.8M | 0.28× |
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)
Associazione Sportiva Roma's Buba Sangaré at 18 years old has the highest Return-to-Peak Potential at +48%. That means Buba Sangaré is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Cagliari Calcio's Othniël Raterink, who is 20 years old, with a +40% RPP (6 years to peak). Third is Álex Jiménez of AC Milan, who is 21 years old with a +35% 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 48% RPP means the player is expected to gain 48% 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 | Buba Sangaré Associazione Sportiva Roma | 18 | 8 | €1.0M | €1.9M | +48% |
| #2 | Othniël Raterink Cagliari Calcio | 20 | 6 | €450K | €748K | +40% |
| #3 | Álex Jiménez AC Milan | 21 | 5 | €4.0M | €6.2M | +35% |
| #4 | Mike Aidoo Inter Milan | 21 | 5 | €500K | €773K | +35% |
| #5 | Marco Palestra Cagliari Calcio | 21 | 5 | €1.0M | €1.5M | +35% |
| #6 | Côme Bianay Balcot Torino FC | 21 | 5 | €200K | €309K | +35% |
| #7 | Richie Sagrado Venezia FC | 22 | 4 | €2.0M | €2.9M | +30% |
| #8 | Ali Dembélé Torino FC | 22 | 4 | €300K | €431K | +30% |
| #9 | Filippo Missori US Sassuolo | 22 | 4 | €1.5M | €2.2M | +30% |
| #10 | Emanuel Ercolano UC Sampdoria | 23 | 3 | €350K | €468K | +25% |
| #11 | Tommaso Barbieri US Cremonese | 23 | 3 | €1.2M | €1.6M | +25% |
| #12 | Daniel Oyegoke Hellas Verona | 23 | 3 | €500K | €668K | +25% |
| #13 | Danilo Veiga US Lecce | 23 | 3 | €2.0M | €2.7M | +25% |
| #14 | Devyne Rensch Associazione Sportiva Roma | 23 | 3 | €8.5M | €11.4M | +25% |
| #15 | Antoine Hainaut Parma Calcio 1913 | 24 | 2 | €1.7M | €2.1M | +20% |
| #16 | Devid Eugene Bouah Associazione Sportiva Roma | 24 | 2 | €300K | €373K | +20% |
| #17 | Mats Lemmens US Lecce | 24 | 2 | €150K | €186K | +20% |
| #18 | Niccolò Pierozzi ACF Fiorentina | 24 | 2 | €1.8M | €2.2M | +20% |
| #19 | Yeferson Paz US Sassuolo | 24 | 2 | €500K | €622K | +20% |
| #20 | Ignace Van der Brempt Como 1907 | 24 | 2 | €3.5M | €4.4M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Associazione Sportiva Roma's Buba Sangaré has the highest Risk-Adjusted Upside at 94.8. That means Buba Sangaré has 28% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Cagliari Calcio's Othniël Raterink with a 69.6 RAU (19% upside, 0% uncertainty). Third is Côme Bianay Balcot of Torino FC with a 55.6 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 94.8 means the upside is 94.8× 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 | Buba Sangaré Associazione Sportiva Roma | €1.3M | €1.1M-1.4M | +28% | 94.8 |
| #2 | Othniël Raterink Cagliari Calcio | €536K | €474K-597K | +19% | 69.6 |
| #3 | Côme Bianay Balcot Torino FC | €229K | €203K-256K | +15% | 55.6 |
| #4 | Álex Jiménez AC Milan | €4.6M | €4.1M-5.1M | +15% | 55.6 |
| #5 | Mike Aidoo Inter Milan | €573K | €507K-639K | +15% | 55.6 |
| #6 | Marco Palestra Cagliari Calcio | €1.1M | €1.0M-1.3M | +15% | 55.6 |
| #7 | Richie Sagrado Venezia FC | €2.2M | €2.0M-2.4M | +10% | 46.5 |
| #8 | Filippo Missori US Sassuolo | €1.7M | €1.5M-1.8M | +10% | 46.5 |
| #9 | Ali Dembélé Torino FC | €331K | €298K-364K | +10% | 46.5 |
| #10 | Yeferson Paz US Sassuolo | €535K | €482K-589K | +7% | 33.0 |
| #11 | Devid Eugene Bouah Associazione Sportiva Roma | €321K | €289K-353K | +7% | 33.0 |
| #12 | Mats Lemmens US Lecce | €161K | €145K-177K | +7% | 33.0 |
| #13 | Antoine Hainaut Parma Calcio 1913 | €1.8M | €1.6M-2.0M | +7% | 33.0 |
| #14 | Ignace Van der Brempt Como 1907 | €3.7M | €3.4M-4.1M | +7% | 33.0 |
| #15 | Niccolò Pierozzi ACF Fiorentina | €1.9M | €1.7M-2.1M | +7% | 33.0 |
| #16 | Tommaso Barbieri US Cremonese | €1.3M | €1.1M-1.4M | +6% | 27.6 |
| #17 | Daniel Oyegoke Hellas Verona | €529K | €476K-582K | +6% | 27.6 |
| #18 | Danilo Veiga US Lecce | €2.1M | €1.9M-2.3M | +6% | 27.6 |
| #19 | Emanuel Ercolano UC Sampdoria | €370K | €333K-407K | +6% | 27.6 |
| #20 | Devyne Rensch Associazione Sportiva Roma | €9.0M | €8.1M-9.9M | +6% | 27.6 |
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 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)
US Sassuolo's Sebastian Walukiewicz in the 24-26 age bracket has the highest Age-Share Concentration at +12.6%. That means João Mário captures 33.3% of total market value while representing only 20.7% of players in their age group-showing dominant elite status.
In second is Juventus FC's Wesley Gasolina with a +12.6% ASC (33.3% value share vs 20.7% player share in 24-26 bracket). Third is Giorgio Spizzichino of Società Sportiva Lazio S.p.A. with a +12.6% ASC (33.3% value vs 20.7% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +12.6% ASC means the player captures 12.6% 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 | Sebastian Walukiewicz US Sassuolo | 24-26 | 33.3% | 20.7% | +12.6% |
| #2 | Wesley Gasolina Juventus FC | 24-26 | 33.3% | 20.7% | +12.6% |
| #3 | Giorgio Spizzichino Società Sportiva Lazio S.p.A. | 24-26 | 33.3% | 20.7% | +12.6% |
| #4 | Gabriele Ferrarini AC Monza | 24-26 | 33.3% | 20.7% | +12.6% |
| #5 | Gabriele Zappa Cagliari Calcio | 24-26 | 33.3% | 20.7% | +12.6% |
| #6 | Antonio Candela Venezia FC | 24-26 | 33.3% | 20.7% | +12.6% |
| #7 | Enrico Delprato Parma Calcio 1913 | 24-26 | 33.3% | 20.7% | +12.6% |
| #8 | Alessandro Zanoli SSC Napoli | 24-26 | 33.3% | 20.7% | +12.6% |
| #9 | Davide Ghislandi Atalanta BC | 24-26 | 33.3% | 20.7% | +12.6% |
| #10 | Devid Eugene Bouah Associazione Sportiva Roma | 24-26 | 33.3% | 20.7% | +12.6% |
| #11 | Alessandro Di Pardo Cagliari Calcio | 24-26 | 33.3% | 20.7% | +12.6% |
| #12 | Samuele Birindelli AC Monza | 24-26 | 33.3% | 20.7% | +12.6% |
| #13 | Ignace Van der Brempt Como 1907 | 24-26 | 33.3% | 20.7% | +12.6% |
| #14 | Emil Holm Juventus FC | 24-26 | 33.3% | 20.7% | +12.6% |
| #15 | Mattia Novella Società Sportiva Lazio S.p.A. | 24-26 | 33.3% | 20.7% | +12.6% |
| #16 | Tariq Lamptey ACF Fiorentina | 24-26 | 33.3% | 20.7% | +12.6% |
| #17 | Niccolò Pierozzi ACF Fiorentina | 24-26 | 33.3% | 20.7% | +12.6% |
| #18 | João Mário Juventus FC | 24-26 | 33.3% | 20.7% | +12.6% |
| #19 | Ivan Smolcic Como 1907 | 24-26 | 33.3% | 20.7% | +12.6% |
| #20 | Marcus Pedersen Torino FC | 24-26 | 33.3% | 20.7% | +12.6% |
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: 2 immediate targets, 18 standard acquisitions, 0 watch-list prospects, 37 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 €300K. 0 undervalued, 10 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Adam Marusic Società Sportiva Lazio S.p.A. | €5.0M | €750K | -1.00 | Good Value |
Nadir Zortea Bologna Football Club 1909 | €7.5M | €750K | -1.00 | Good Value |
Othniël Raterink Cagliari Calcio | €450K | €750K | -1.00 | Good Value |
Mattia Novella Società Sportiva Lazio S.p.A. | €150K | €750K | -0.61 | Good Value |
Mats Lemmens US Lecce | €150K | €750K | -0.61 | Good Value |
Giorgio Spizzichino Società Sportiva Lazio S.p.A. | €200K | €750K | -0.59 | Good Value |
Davide Ghislandi Atalanta BC | €200K | €750K | -0.59 | Good Value |
Devid Eugene Bouah Associazione Sportiva Roma | €300K | €750K | -0.55 | Good Value |
Côme Bianay Balcot Torino FC | €200K | €750K | -0.48 | Fair Value |
Yeferson Paz US Sassuolo | €500K | €750K | -0.45 | Fair Value |
Gabriele Ferrarini AC Monza | €550K | €750K | -0.43 | Fair Value |
Alessandro Zanoli SSC Napoli | €5.0M | €750K | -0.43 | Fair Value |
Ali Dembélé Torino FC | €300K | €750K | -0.42 | Fair Value |
Marco Motta Juventus FC | €125K | €750K | -0.41 | Fair Value |
Matías Rodríguez UC Sampdoria | €125K | €750K | -0.41 | Fair Value |
Emanuel Ercolano UC Sampdoria | €350K | €750K | -0.39 | Fair Value |
Bright Gyamfi Benevento Calcio | €150K | €750K | -0.38 | Fair Value |
Aleandro Rosi Genoa CFC | €150K | €750K | -0.38 | Fair Value |
Vincent Laurini Parma Calcio 1913 | €150K | €750K | -0.38 | Fair Value |
Matteo Ciofani Frosinone Calcio | €175K | €750K | -0.35 | Fair Value |
How We Rank Serie A 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 Serie A 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 Serie A 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%)
Serie A 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 Serie A Right-Backs in the 2023-24 season
Who are the most valuable Right-Backs in the Serie A in 2023-24?
The most valuable right-back in the Serie A in 2023-24 is Denzel Dumfries, who is worth €25.0M and plays for Inter Milan. The second most valuable is Dodô (€18.0M, ACF Fiorentina), followed by João Mário (€15.0M, Juventus FC). Our database tracks 116 Serie A Right-Backs with comprehensive market valuations updated for the 2023-24 season.
How are Serie A Right-Backs ranked?
Serie A 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 Serie A 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 Serie A?
Transfer fees for Serie A Right-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked right-back Denzel Dumfries (market value: €25.0M), estimated transfer fees would range from €20.0M to €35.0M 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 Serie A transactions.
What is the value forecast for Serie A Right-Backs?
Our 1-year forecast model projects market value changes for Serie A 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 Serie A right-back data come from?
Our Serie A 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 Serie A sources and updated monthly for the 2023-24 season to ensure accuracy for recruitment and investment decisions.