Best Left-Backs in the Serie A (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Serie A Left-Backs 2026-27
Our database tracked 33 Serie A Left-Backs in the 2026-27 season, representing 17 clubs with a combined market value of €292.2M. The average market value for Serie A Left-Backs was €8.9M, with the average age at 27 years old.
The most valuable left-back in the Serie A was Federico Dimarco, worth €50.0M and played for Inter Milan at 28 years old. The top 5 Left-Backs averaged €25.6M in market value, including Carlos Augusto and Miguel Gutiérrez.
Age distribution showed the youngest tracked left-back was Davide Bartesaghi (20 years, AC Milan, €18.0M), while the oldest was Leonardo Spinazzola (33 years, SSC Napoli, €3.5M). Research shows Left-Backs typically peak at age 27.
Historical analysis showed 14 Left-Backs (42%) 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 Left-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 Serie A
Interactive bubble chart showing predicted 2-year growth vs current age for all Serie A Left-Backs. Identify undervalued assets and track market momentum across 17 clubs with €292.2M combined value.
Age Distribution: Serie A Left-Backs
The Serie A LB market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (11 players, 33% of market). The 27-29 age group holds the most value at €143.5M, averaging €14.3M per player.
Top Left-Backs by Age Bracket
U21 Years (2 players)
21-23 Years (4 players)
24-26 Years (11 players)
27-29 Years (10 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Left-Backs (12% of players) control €111.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Serie A LB pool.
Elite (€50M+)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Serie A Left-Backs
Among 17 Serie A clubs, Inter Milan leads with 2 Left-Backs worth €76.0M (averaging €38.0M per player). The top 10 clubs account for 58% of tracked Left-Backs.
Inter Milan (2 Left-Backs)
SSC Napoli (3 Left-Backs)
AC Milan (2 Left-Backs)
AS Roma (2 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.
Federico Dimarco
Inter Milan • 28 years old
€64.6M
€50.0M
-22.6%
Expected: €45.5M
87.8
Carlos Augusto
Inter Milan • 27 years old
€27.5M
€26.0M
-5.4%
Expected: €22.8M
76.0
Miguel Gutiérrez
SSC Napoli • 24 years old
€14.7M
€17.0M
+15.6%
Expected: €17.4M
71.5
Mathías Olivera
SSC Napoli • 28 years old
€23.2M
€18.0M
-22.6%
Expected: €15.8M
71.5
Angeliño
AS Roma • 29 years old
€22.0M
€17.0M
-22.6%
Expected: €14.1M
70.9
Davide Bartesaghi
AC Milan • 20 years old
€15.6M
€18.0M
+15.6%
Expected: €20.6M
70.9
Juan Miranda
Bologna FC 1909 • 26 years old
€13.0M
€15.0M
+15.6%
Expected: €15.4M
69.0
Nuno Tavares
SS Lazio • 26 years old
€13.0M
€15.0M
+15.6%
Expected: €15.4M
69.0
Pervis Estupiñán
AC Milan • 28 years old
€18.1M
€14.0M
-22.6%
Expected: €12.3M
68.4
Álex Valle
Como 1907 • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €10.6M
61.2
Konstantinos Tsimikas
AS Roma • 30 years old
€12.9M
€10.0M
-22.6%
Expected: €8.3M
60.8
Niccolò Fortini
ACF Fiorentina • 20 years old
€8.6M
€10.0M
+15.6%
Expected: €11.5M
60.0
Juan Cabal
Juventus FC • 25 years old
€7.8M
€9.0M
+15.6%
Expected: €8.8M
59.5
Aarón Martín
Genoa CFC • 29 years old
€9.0M
€7.0M
-22.6%
Expected: €5.8M
56.3
Robin Gosens
ACF Fiorentina • 31 years old
€7.7M
€6.0M
-22.6%
Expected: €5.0M
54.6
Josh Doig
US Sassuolo • 24 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.7
Fabiano Parisi
ACF Fiorentina • 25 years old
€3.9M
€4.5M
+15.6%
Expected: €4.4M
50.9
Jordan Zemura
Udinese Calcio • 26 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
49.0
Antonino Gallo
US Lecce • 26 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
49.0
Leonardo Spinazzola
SSC Napoli • 33 years old
€4.5M
€3.5M
-22.6%
Expected: €3.1M
48.1
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)
Como 1907's Álex Valle at 22 years old has the highest Pre-Peak Value Efficiency at 5.00×. That means Álex Valle is valued 5.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is SSC Napoli's Miguel Gutiérrez, who is 24 years old, with a 3.40× PPVE. Third is Juan Cabal of Juventus FC, who is 25 years old with a 1.80× 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 5.00× means the player is worth 400% 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 | Álex Valle Como 1907 | 22 | 21-23 | €10.0M | €2.0M | 5.00× |
| #2 | Miguel Gutiérrez SSC Napoli | 24 | 24-26 | €17.0M | €5.0M | 3.40× |
| #3 | Juan Cabal Juventus FC | 25 | 24-26 | €9.0M | €5.0M | 1.80× |
| #4 | Josh Doig US Sassuolo | 24 | 24-26 | €5.0M | €5.0M | 1.00× |
| #5 | Rafa Obrador Torino FC | 22 | 21-23 | €2.0M | €2.0M | 1.00× |
| #6 | Edoardo Pieragnolo US Sassuolo | 23 | 21-23 | €2.0M | €2.0M | 1.00× |
| #7 | Davide Bartesaghi AC Milan | 20 | U21 | €18.0M | €18.0M | 1.00× |
| #8 | Fabiano Parisi ACF Fiorentina | 25 | 24-26 | €4.5M | €5.0M | 0.90× |
| #9 | Niels Nkounkou Torino FC | 25 | 24-26 | €3.5M | €5.0M | 0.70× |
| #10 | Niccolò Fortini ACF Fiorentina | 20 | U21 | €10.0M | €18.0M | 0.56× |
| #11 | Franco Carboni Parma Calcio 1913 | 23 | 21-23 | €900K | €2.0M | 0.45× |
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)
ACF Fiorentina's Niccolò Fortini at 20 years old has the highest Return-to-Peak Potential at +35%. That means Niccolò Fortini is projected to appreciate 35% as they reach their peak age in 6 years-representing significant upside before entering their prime.
In second is AC Milan's Davide Bartesaghi, who is 20 years old, with a +35% RPP (6 years to peak). Third is Álex Valle of Como 1907, who is 22 years old with a +25% 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 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 | Niccolò Fortini ACF Fiorentina | 20 | 6 | €10.0M | €15.5M | +35% |
| #2 | Davide Bartesaghi AC Milan | 20 | 6 | €18.0M | €27.8M | +35% |
| #3 | Álex Valle Como 1907 | 22 | 4 | €10.0M | €13.4M | +25% |
| #4 | Rafa Obrador Torino FC | 22 | 4 | €2.0M | €2.7M | +25% |
| #5 | Edoardo Pieragnolo US Sassuolo | 23 | 3 | €2.0M | €2.5M | +20% |
| #6 | Franco Carboni Parma Calcio 1913 | 23 | 3 | €900K | €1.1M | +20% |
| #7 | Miguel Gutiérrez SSC Napoli | 24 | 2 | €17.0M | €19.7M | +14% |
| #8 | Josh Doig US Sassuolo | 24 | 2 | €5.0M | €5.8M | +14% |
| #9 | Niels Nkounkou Torino FC | 25 | 1 | €3.5M | €3.8M | +7% |
| #10 | Fabiano Parisi ACF Fiorentina | 25 | 1 | €4.5M | €4.8M | +7% |
| #11 | Juan Cabal Juventus FC | 25 | 1 | €9.0M | €9.7M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
AC Milan's Davide Bartesaghi has the highest Risk-Adjusted Upside at 46.3. That means Davide Bartesaghi has 15% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is ACF Fiorentina's Niccolò Fortini with a 46.3 RAU (15% upside, 0% uncertainty). Third is Edoardo Pieragnolo of US Sassuolo with a 27.5 RAU (7% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 46.3 means the upside is 46.3× 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 | Davide Bartesaghi AC Milan | €20.6M | €17.8M-23.5M | +15% | 46.3 |
| #2 | Niccolò Fortini ACF Fiorentina | €11.5M | €9.9M-13.0M | +15% | 46.3 |
| #3 | Edoardo Pieragnolo US Sassuolo | €2.1M | €1.9M-2.4M | +7% | 27.5 |
| #4 | Franco Carboni Parma Calcio 1913 | €964K | €848K-1.1M | +7% | 27.5 |
| #5 | Rafa Obrador Torino FC | €2.1M | €1.9M-2.4M | +6% | 23.0 |
| #6 | Álex Valle Como 1907 | €10.6M | €9.3M-11.9M | +6% | 23.0 |
| #7 | Domagoj Bradarić Hellas Verona | €2.6M | €2.3M-2.9M | +3% | 12.0 |
| #8 | Juan Miranda Bologna FC 1909 | €15.4M | €13.6M-17.3M | +3% | 12.0 |
| #9 | Nuno Tavares SS Lazio | €15.4M | €13.6M-17.3M | +3% | 12.0 |
| #10 | Antonino Gallo US Lecce | €4.1M | €3.6M-4.6M | +3% | 12.0 |
| #11 | Jordan Zemura Udinese Calcio | €4.1M | €3.6M-4.6M | +3% | 12.0 |
| #12 | Corrie Ndaba US Lecce | €927K | €815K-1.0M | +3% | 12.0 |
| #13 | Miguel Gutiérrez SSC Napoli | €17.4M | €15.3M-19.5M | +2% | 9.8 |
| #14 | Josh Doig US Sassuolo | €5.1M | €4.5M-5.7M | +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: 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)
Inter Milan's Federico Dimarco in the 27-29 age bracket has the highest Age-Share Concentration at +18.8%. That means Federico Dimarco captures 49.1% of total market value while representing only 30.3% of players in their age group-showing dominant elite status.
In second is Genoa CFC's Aarón Martín with a +18.8% ASC (49.1% value share vs 30.3% player share in 27-29 bracket). Third is Angeliño of AS Roma with a +18.8% ASC (49.1% value vs 30.3% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +18.8% ASC means the player captures 18.8% 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 | Federico Dimarco Inter Milan | 27-29 | 49.1% | 30.3% | +18.8% |
| #2 | Aarón Martín Genoa CFC | 27-29 | 49.1% | 30.3% | +18.8% |
| #3 | Angeliño AS Roma | 27-29 | 49.1% | 30.3% | +18.8% |
| #4 | Giuseppe Pezzella US Cremonese | 27-29 | 49.1% | 30.3% | +18.8% |
| #5 | Luca Pellegrini SS Lazio | 27-29 | 49.1% | 30.3% | +18.8% |
| #6 | Pervis Estupiñán AC Milan | 27-29 | 49.1% | 30.3% | +18.8% |
| #7 | Mathías Olivera SSC Napoli | 27-29 | 49.1% | 30.3% | +18.8% |
| #8 | Emanuele Valeri Parma Calcio 1913 | 27-29 | 49.1% | 30.3% | +18.8% |
| #9 | Martin Frese Hellas Verona | 27-29 | 49.1% | 30.3% | +18.8% |
| #10 | Carlos Augusto Inter Milan | 27-29 | 49.1% | 30.3% | +18.8% |
| #11 | Leonardo Spinazzola SSC Napoli | 30+ | 8.7% | 18.2% | -9.5% |
| #12 | Cristiano Biraghi Torino FC | 30+ | 8.7% | 18.2% | -9.5% |
| #13 | Charalampos Lykogiannis Bologna FC 1909 | 30+ | 8.7% | 18.2% | -9.5% |
| #14 | Robin Gosens ACF Fiorentina | 30+ | 8.7% | 18.2% | -9.5% |
| #15 | Hassane Kamara Udinese Calcio | 30+ | 8.7% | 18.2% | -9.5% |
| #16 | Konstantinos Tsimikas AS Roma | 30+ | 8.7% | 18.2% | -9.5% |
| #17 | Rafa Obrador Torino FC | 21-23 | 5.1% | 12.1% | -7.0% |
| #18 | Edoardo Pieragnolo US Sassuolo | 21-23 | 5.1% | 12.1% | -7.0% |
| #19 | Álex Valle Como 1907 | 21-23 | 5.1% | 12.1% | -7.0% |
| #20 | Franco Carboni Parma Calcio 1913 | 21-23 | 5.1% | 12.1% | -7.0% |
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, 6 standard acquisitions, 0 watch-list prospects, 19 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 €50.0M. 1 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Corrie Ndaba US Lecce | €900K | €4.5M | -2.07 | Undervalued |
Aarón Martín Genoa CFC | €7.0M | €4.5M | -1.00 | Good Value |
Robin Gosens ACF Fiorentina | €6.0M | €4.5M | -1.00 | Good Value |
Domagoj Bradarić Hellas Verona | €2.5M | €4.5M | -1.00 | Good Value |
Josh Doig US Sassuolo | €5.0M | €4.5M | -1.00 | Good Value |
Franco Carboni Parma Calcio 1913 | €900K | €4.5M | -1.00 | Good Value |
Cristiano Biraghi Torino FC | €1.4M | €4.5M | -0.80 | Good Value |
Charalampos Lykogiannis Bologna FC 1909 | €1.5M | €4.5M | -0.75 | Good Value |
Giuseppe Pezzella US Cremonese | €2.5M | €4.5M | -0.50 | Fair Value |
Martin Frese Hellas Verona | €2.5M | €4.5M | -0.50 | Fair Value |
Niels Nkounkou Torino FC | €3.5M | €4.5M | -0.33 | Fair Value |
Angeliño AS Roma | €17.0M | €4.5M | -0.11 | Fair Value |
Federico Dimarco Inter Milan | €50.0M | €4.5M | 0.00 | Fair Value |
Hassane Kamara Udinese Calcio | €3.0M | €4.5M | 0.00 | Fair Value |
Konstantinos Tsimikas AS Roma | €10.0M | €4.5M | 0.00 | Fair Value |
Juan Miranda Bologna FC 1909 | €15.0M | €4.5M | 0.00 | Fair Value |
Pervis Estupiñán AC Milan | €14.0M | €4.5M | 0.00 | Fair Value |
Mathías Olivera SSC Napoli | €18.0M | €4.5M | 0.00 | Fair Value |
Antonino Gallo US Lecce | €4.0M | €4.5M | 0.00 | Fair Value |
Emanuele Valeri Parma Calcio 1913 | €3.0M | €4.5M | 0.00 | Fair Value |
How We Rank Serie A 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 Serie A 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 Serie A 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%)
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.
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 Serie A Left-Backs in the 2026-27 season
Who are the most valuable Left-Backs in the Serie A in 2026-27?
The most valuable left-back in the Serie A in 2026-27 is Federico Dimarco, who is worth €50.0M and plays for Inter Milan. The second most valuable is Carlos Augusto (€26.0M, Inter Milan), followed by Miguel Gutiérrez (€17.0M, SSC Napoli). Our database tracks 33 Serie A Left-Backs with comprehensive market valuations updated for the 2026-27 season.
How are Serie A Left-Backs ranked?
Serie A 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 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 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 Serie A?
Transfer fees for Serie A Left-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked left-back Federico Dimarco (market value: €50.0M), estimated transfer fees would range from €40.0M to €70.0M 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 Left-Backs?
Our 1-year forecast model projects market value changes for Serie A 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 Serie A left-back data come from?
Our Serie A 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 Serie A sources and updated monthly for the 2026-27 season to ensure accuracy for recruitment and investment decisions.