Best Left-Backs in the Serie A (Dec 2025)
Ranked by Analytical Strength Score
Market Overview: Serie A Left-Backs 2024-25
Our database tracked 37 Serie A Left-Backs in the 2024-25 season, representing 17 clubs with a combined market value of €311.9M. The average market value for Serie A Left-Backs was €8.4M, with the average age at 26.2 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 €27.6M in market value, including Carlos Augusto and Pervis Estupiñán.
Age distribution showed the youngest tracked left-back was Niccolò Fortini (19 years, ACF Fiorentina, €8.5M), while the oldest was Cristiano Biraghi (33 years, Torino FC, €1.8M). Research shows Left-Backs typically peak at age 27.
Historical analysis showed 14 Left-Backs (38%) 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 2024-25 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 €311.9M 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 (14 players, 38% of market). The 27-29 age group holds the most value at €145.2M, averaging €14.5M per player.
Top Left-Backs by Age Bracket
U21 Years (2 players)
21-23 Years (5 players)
24-26 Years (14 players)
27-29 Years (10 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Left-Backs (11% of players) control €118.0M
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 65% of tracked Left-Backs.
Inter Milan (2 Left-Backs)
SSC Napoli (3 Left-Backs)
AS Roma (2 Left-Backs)
AC Milan (2 Left-Backs)
Player Rankings
Ranked by APE Strength Score. 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 • 26 years old
€22.5M
€26.0M
+15.6%
Expected: €26.8M
75.9
Pervis Estupiñán
AC Milan • 27 years old
€23.3M
€22.0M
-5.4%
Expected: €19.3M
73.9
Miguel Gutiérrez
SSC Napoli • 24 years old
€17.3M
€20.0M
+15.6%
Expected: €20.5M
73.6
Nuno Tavares
SS Lazio • 25 years old
€17.3M
€20.0M
+15.6%
Expected: €19.6M
73.1
Angeliño
AS Roma • 28 years old
€25.8M
€20.0M
-22.6%
Expected: €17.5M
72.8
Mathías Olivera
SSC Napoli • 28 years old
€25.8M
€20.0M
-22.6%
Expected: €17.5M
72.8
Konstantinos Tsimikas
AS Roma • 29 years old
€23.2M
€18.0M
-22.6%
Expected: €14.9M
71.6
Juan Miranda
Bologna FC 1909 • 25 years old
€13.0M
€15.0M
+15.6%
Expected: €14.7M
69.5
Juan Cabal
Juventus FC • 24 years old
€7.8M
€9.0M
+15.6%
Expected: €9.2M
60.0
Robin Gosens
ACF Fiorentina • 31 years old
€10.3M
€8.0M
-22.6%
Expected: €6.6M
58.2
Niccolò Fortini
ACF Fiorentina • 19 years old
€7.4M
€8.5M
+15.6%
Expected: €10.1M
57.3
Aarón Martín
Genoa CFC • 28 years old
€8.4M
€6.5M
-22.6%
Expected: €5.7M
55.2
Álex Valle
Como 1907 • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Josh Doig
US Sassuolo • 23 years old
€4.3M
€5.0M
+15.6%
Expected: €5.4M
53.2
Mathias Løvik
Parma Calcio 1913 • 22 years old
€4.3M
€5.0M
+15.6%
Expected: €5.3M
52.6
Fabiano Parisi
ACF Fiorentina • 25 years old
€4.3M
€5.0M
+15.6%
Expected: €4.9M
52.2
Jordan Zemura
Udinese Calcio • 26 years old
€3.9M
€4.5M
+15.6%
Expected: €4.6M
50.4
Antonino Gallo
US Lecce • 25 years old
€3.7M
€4.3M
+15.6%
Expected: €4.2M
50.3
Leonardo Spinazzola
SSC Napoli • 32 years old
€4.5M
€3.5M
-22.6%
Expected: €3.1M
48.0
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)
SSC Napoli's Miguel Gutiérrez at 24 years old has the highest Pre-Peak Value Efficiency at 4.00×. That means Miguel Gutiérrez is valued 4.00× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is SS Lazio's Nuno Tavares, who is 25 years old, with a 4.00× PPVE. Third is Juan Miranda of Bologna FC 1909, who is 25 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 4.00× means the player is worth 300% 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 | Miguel Gutiérrez SSC Napoli | 24 | 24-26 | €20.0M | €5.0M | 4.00× |
| #2 | Nuno Tavares SS Lazio | 25 | 24-26 | €20.0M | €5.0M | 4.00× |
| #3 | Juan Miranda Bologna FC 1909 | 25 | 24-26 | €15.0M | €5.0M | 3.00× |
| #4 | Juan Cabal Juventus FC | 24 | 24-26 | €9.0M | €5.0M | 1.80× |
| #5 | Álex Valle Como 1907 | 21 | 21-23 | €6.0M | €5.0M | 1.20× |
| #6 | Fabiano Parisi ACF Fiorentina | 25 | 24-26 | €5.0M | €5.0M | 1.00× |
| #7 | Josh Doig US Sassuolo | 23 | 21-23 | €5.0M | €5.0M | 1.00× |
| #8 | Mathias Løvik Parma Calcio 1913 | 22 | 21-23 | €5.0M | €5.0M | 1.00× |
| #9 | Niccolò Fortini ACF Fiorentina | 19 | U21 | €8.5M | €8.5M | 1.00× |
| #10 | Antonino Gallo US Lecce | 25 | 24-26 | €4.3M | €5.0M | 0.86× |
| #11 | Niels Nkounkou Torino FC | 25 | 24-26 | €3.5M | €5.0M | 0.70× |
| #12 | Edoardo Pieragnolo US Sassuolo | 22 | 21-23 | €2.4M | €5.0M | 0.48× |
| #13 | Jonas Rouhi Juventus FC | 21 | 21-23 | €2.0M | €5.0M | 0.40× |
| #14 | Davide Bartesaghi AC Milan | 19 | U21 | €3.0M | €8.5M | 0.35× |
| #15 | Corrie Ndaba US Lecce | 25 | 24-26 | €900K | €5.0M | 0.18× |
| #16 | Dimitrije Kamenovic SS Lazio | 25 | 24-26 | €300K | €5.0M | 0.06× |
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 19 years old has the highest Return-to-Peak Potential at +40%. That means Niccolò Fortini is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.
In second is AC Milan's Davide Bartesaghi, who is 19 years old, with a +40% RPP (7 years to peak). Third is Jonas Rouhi of Juventus FC, 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 | Niccolò Fortini ACF Fiorentina | 19 | 7 | €8.5M | €14.1M | +40% |
| #2 | Davide Bartesaghi AC Milan | 19 | 7 | €3.0M | €5.0M | +40% |
| #3 | Jonas Rouhi Juventus FC | 21 | 5 | €2.0M | €2.9M | +30% |
| #4 | Álex Valle Como 1907 | 21 | 5 | €6.0M | €8.6M | +30% |
| #5 | Mathias Løvik Parma Calcio 1913 | 22 | 4 | €5.0M | €6.7M | +25% |
| #6 | Edoardo Pieragnolo US Sassuolo | 22 | 4 | €2.4M | €3.2M | +25% |
| #7 | Josh Doig US Sassuolo | 23 | 3 | €5.0M | €6.2M | +20% |
| #8 | Juan Cabal Juventus FC | 24 | 2 | €9.0M | €10.4M | +14% |
| #9 | Miguel Gutiérrez SSC Napoli | 24 | 2 | €20.0M | €23.1M | +14% |
| #10 | Antonino Gallo US Lecce | 25 | 1 | €4.3M | €4.6M | +7% |
| #11 | Dimitrije Kamenovic SS Lazio | 25 | 1 | €300K | €323K | +7% |
| #12 | Juan Miranda Bologna FC 1909 | 25 | 1 | €15.0M | €16.1M | +7% |
| #13 | Nuno Tavares SS Lazio | 25 | 1 | €20.0M | €21.5M | +7% |
| #14 | Fabiano Parisi ACF Fiorentina | 25 | 1 | €5.0M | €5.4M | +7% |
| #15 | Niels Nkounkou Torino FC | 25 | 1 | €3.5M | €3.8M | +7% |
| #16 | Corrie Ndaba US Lecce | 25 | 1 | €900K | €968K | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
ACF Fiorentina's Niccolò Fortini has the highest Risk-Adjusted Upside at 58.0. That means Niccolò Fortini has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is AC Milan's Davide Bartesaghi with a 58.0 RAU (19% upside, 0% uncertainty). Third is Álex Valle of Como 1907 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 | Niccolò Fortini ACF Fiorentina | €10.1M | €8.7M-11.5M | +19% | 58.0 |
| #2 | Davide Bartesaghi AC Milan | €3.6M | €3.1M-4.1M | +19% | 58.0 |
| #3 | Álex Valle Como 1907 | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #4 | Jonas Rouhi Juventus FC | €2.2M | €1.9M-2.5M | +10% | 33.7 |
| #5 | Josh Doig US Sassuolo | €5.4M | €4.7M-6.0M | +7% | 27.5 |
| #6 | Edoardo Pieragnolo US Sassuolo | €2.5M | €2.2M-2.8M | +6% | 23.0 |
| #7 | Mathias Løvik Parma Calcio 1913 | €5.3M | €4.7M-5.9M | +6% | 23.0 |
| #8 | Jordan Zemura Udinese Calcio | €4.6M | €4.1M-5.2M | +3% | 12.0 |
| #9 | Carlos Augusto Inter Milan | €26.8M | €23.6M-30.0M | +3% | 12.0 |
| #10 | Luca Pellegrini SS Lazio | €3.1M | €2.7M-3.5M | +3% | 12.0 |
| #11 | Domagoj Bradarić Hellas Verona | €3.1M | €2.7M-3.5M | +3% | 12.0 |
| #12 | Marco Sala Como 1907 | €515K | €453K-577K | +3% | 12.0 |
| #13 | Juan Cabal Juventus FC | €9.2M | €8.1M-10.3M | +2% | 9.8 |
| #14 | Miguel Gutiérrez SSC Napoli | €20.5M | €18.0M-22.9M | +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 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)
Inter Milan's Federico Dimarco in the 27-29 age bracket has the highest Age-Share Concentration at +19.5%. That means Federico Dimarco captures 46.6% of total market value while representing only 27.0% of players in their age group—showing dominant elite status.
In second is Genoa CFC's Aarón Martín with a +19.5% ASC (46.6% value share vs 27.0% player share in 27-29 bracket). Third is Angeliño of AS Roma with a +19.5% ASC (46.6% value vs 27.0% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +19.5% ASC means the player captures 19.5% 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 | 46.6% | 27.0% | +19.5% |
| #2 | Aarón Martín Genoa CFC | 27-29 | 46.6% | 27.0% | +19.5% |
| #3 | Angeliño AS Roma | 27-29 | 46.6% | 27.0% | +19.5% |
| #4 | Giuseppe Pezzella US Cremonese | 27-29 | 46.6% | 27.0% | +19.5% |
| #5 | Konstantinos Tsimikas AS Roma | 27-29 | 46.6% | 27.0% | +19.5% |
| #6 | Leonardo Sernicola US Cremonese | 27-29 | 46.6% | 27.0% | +19.5% |
| #7 | Pervis Estupiñán AC Milan | 27-29 | 46.6% | 27.0% | +19.5% |
| #8 | Mathías Olivera SSC Napoli | 27-29 | 46.6% | 27.0% | +19.5% |
| #9 | Emanuele Valeri Parma Calcio 1913 | 27-29 | 46.6% | 27.0% | +19.5% |
| #10 | Martin Frese Hellas Verona | 27-29 | 46.6% | 27.0% | +19.5% |
| #11 | Leonardo Spinazzola SSC Napoli | 30+ | 6.3% | 16.2% | -9.9% |
| #12 | Cristiano Biraghi Torino FC | 30+ | 6.3% | 16.2% | -9.9% |
| #13 | Charalampos Lykogiannis Bologna FC 1909 | 30+ | 6.3% | 16.2% | -9.9% |
| #14 | Alberto Moreno Como 1907 | 30+ | 6.3% | 16.2% | -9.9% |
| #15 | Robin Gosens ACF Fiorentina | 30+ | 6.3% | 16.2% | -9.9% |
| #16 | Hassane Kamara Udinese Calcio | 30+ | 6.3% | 16.2% | -9.9% |
| #17 | Josh Doig US Sassuolo | 21-23 | 6.5% | 13.5% | -7.0% |
| #18 | Mathias Løvik Parma Calcio 1913 | 21-23 | 6.5% | 13.5% | -7.0% |
| #19 | Edoardo Pieragnolo US Sassuolo | 21-23 | 6.5% | 13.5% | -7.0% |
| #20 | Álex Valle Como 1907 | 21-23 | 6.5% | 13.5% | -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: 2 immediate targets, 5 standard acquisitions, 0 watch-list prospects, 23 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 €50.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Leonardo Sernicola US Cremonese | €1.2M | €4.3M | -1.30 | Good Value |
Konstantinos Tsimikas AS Roma | €18.0M | €4.3M | -1.00 | Good Value |
Fabiano Parisi ACF Fiorentina | €5.0M | €4.3M | -1.00 | Good Value |
Jonas Rouhi Juventus FC | €2.0M | €4.3M | -1.00 | Good Value |
Juan Miranda Bologna FC 1909 | €15.0M | €4.3M | -0.83 | Good Value |
Dimitrije Kamenovic SS Lazio | €300K | €4.3M | -0.79 | Good Value |
Marco Sala Como 1907 | €500K | €4.3M | -0.74 | Good Value |
Corrie Ndaba US Lecce | €900K | €4.3M | -0.62 | Good Value |
Martin Frese Hellas Verona | €2.0M | €4.3M | -0.50 | Fair Value |
Charalampos Lykogiannis Bologna FC 1909 | €1.5M | €4.3M | -0.15 | Fair Value |
Alberto Moreno Como 1907 | €1.5M | €4.3M | -0.15 | Fair Value |
Cristiano Biraghi Torino FC | €1.8M | €4.3M | 0.00 | Fair Value |
Federico Dimarco Inter Milan | €50.0M | €4.3M | 0.00 | Fair Value |
Aarón Martín Genoa CFC | €6.5M | €4.3M | 0.00 | Fair Value |
Robin Gosens ACF Fiorentina | €8.0M | €4.3M | 0.00 | Fair Value |
Angeliño AS Roma | €20.0M | €4.3M | 0.00 | Fair Value |
Giuseppe Pezzella US Cremonese | €2.5M | €4.3M | 0.00 | Fair Value |
Luca Pellegrini SS Lazio | €3.0M | €4.3M | 0.00 | Fair Value |
Domagoj Bradarić Hellas Verona | €3.0M | €4.3M | 0.00 | Fair Value |
Mathías Olivera SSC Napoli | €20.0M | €4.3M | 0.00 | Fair Value |