Best U23 Young Centre-Backs in the Serie A
25 players aged 23 or under · ranked by Analytical Strength Score
Best Young Centre-Backs in the Serie A (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Serie A Young Centre-Backs 2024-25
Our database tracked 25 Serie A Young Centre-Backs in the 2024-25 season, representing 17 clubs with a combined market value of €178.8M. The average market value for Serie A Young Centre-Backs was €7.2M, with the average age at 21.5 years old.
The most valuable young centre-back in the Serie A was Giorgio Scalvini, worth €35.0M and played for Atalanta BC at 22 years old. The top 5 Young Centre-Backs averaged €19.6M in market value, including Pietro Comuzzo and Koni De Winter.
Age distribution showed the youngest tracked young centre-back was Matteo Palma (18 years, Udinese Calcio, €2.5M), while the oldest was Koni De Winter (23 years, AC Milan, €22.0M). Research shows Young Centre-Backs typically peak at age 27.
Historical analysis showed 25 Young Centre-Backs (100%) 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 Young Centre-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 Young Centre-Backs. Identify undervalued assets and track market momentum across 17 clubs with €178.8M combined value.
Age Distribution: Serie A Young Centre-Backs
The Serie A CB market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (21 players, 84% of market). The 21-23 age group holds the most value at €166.3M, averaging €7.9M per player.
Top Young Centre-Backs by Age Bracket
U21 Years (4 players)
21-23 Years (21 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Young Centre-Backs (12% of players) control €82.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 4% of the Serie A CB pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Serie A Young Centre-Backs
Among 17 Serie A clubs, Atalanta BC leads with 1 Young Centre-Backs worth €35.0M (averaging €35.0M per player). The top 10 clubs account for 56% of tracked Young Centre-Backs.
Atalanta BC (1 Young Centre-Backs)
AC Milan (2 Young Centre-Backs)
ACF Fiorentina (1 Young Centre-Backs)
Parma Calcio 1913 (2 Young Centre-Backs)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Giorgio Scalvini
Atalanta BC • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
84.0
Pietro Comuzzo
ACF Fiorentina • 21 years old
€21.6M
€25.0M
+15.6%
Expected: €27.6M
75.6
Koni De Winter
AC Milan • 23 years old
€19.0M
€22.0M
+15.6%
Expected: €23.6M
75.2
Daniele Ghilardi
AS Roma • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €8.6M
59.0
Alessandro Circati
Parma Calcio 1913 • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.5M
58.4
Tarik Muharemović
US Sassuolo • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.5M
57.4
Luca Marianucci
SSC Napoli • 21 years old
€6.5M
€7.5M
+15.6%
Expected: €8.3M
57.0
Mariano Troilo
Parma Calcio 1913 • 22 years old
€5.6M
€6.5M
+15.6%
Expected: €6.9M
55.8
Nicolò Bertola
Udinese Calcio • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Jacobo Ramón
Como 1907 • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Saba Goglichidze
Udinese Calcio • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Mikayil Faye
US Cremonese • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Giovanni Bonfanti
Pisa Sporting Club • 23 years old
€3.9M
€4.5M
+15.6%
Expected: €4.8M
51.9
David Odogu
AC Milan • 19 years old
€4.3M
€5.0M
+15.6%
Expected: €6.0M
50.7
Tomás Palacios
Inter Milan • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.8
Oliver Provstgaard
SS Lazio • 22 years old
€3.0M
€3.5M
+15.6%
Expected: €3.7M
48.1
Adam Obert
Cagliari Calcio • 23 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
43.2
Tiago Gabriel
US Lecce • 21 years old
€2.6M
€3.0M
+15.6%
Expected: €3.3M
42.0
Juan Rodríguez
Cagliari Calcio • 20 years old
€2.6M
€3.0M
+15.6%
Expected: €3.4M
41.4
Alessandro Marcandalli
Genoa CFC • 23 years old
€1.7M
€2.0M
+15.6%
Expected: €2.1M
38.2
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)
Atalanta BC's Giorgio Scalvini at 22 years old has the highest Pre-Peak Value Efficiency at 5.83×. That means Giorgio Scalvini is valued 5.83× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is ACF Fiorentina's Pietro Comuzzo, who is 21 years old, with a 4.17× PPVE. Third is Koni De Winter of AC Milan, who is 23 years old with a 3.67× 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 5.83× means the player is worth 483% 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 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €35.0M | €6.0M | 5.83× |
| #2 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €25.0M | €6.0M | 4.17× |
| #3 | Koni De Winter AC Milan | 23 | 21-23 | €22.0M | €6.0M | 3.67× |
| #4 | David Odogu AC Milan | 19 | U21 | €5.0M | €3.0M | 1.67× |
| #5 | Daniele Ghilardi AS Roma | 23 | 21-23 | €8.0M | €6.0M | 1.33× |
| #6 | Alessandro Circati Parma Calcio 1913 | 22 | 21-23 | €8.0M | €6.0M | 1.33× |
| #7 | Luca Marianucci SSC Napoli | 21 | 21-23 | €7.5M | €6.0M | 1.25× |
| #8 | Tarik Muharemović US Sassuolo | 23 | 21-23 | €7.0M | €6.0M | 1.17× |
| #9 | Mariano Troilo Parma Calcio 1913 | 22 | 21-23 | €6.5M | €6.0M | 1.08× |
| #10 | Juan Rodríguez Cagliari Calcio | 20 | U21 | €3.0M | €3.0M | 1.00× |
| #11 | Nicolò Bertola Udinese Calcio | 23 | 21-23 | €6.0M | €6.0M | 1.00× |
| #12 | Mikayil Faye US Cremonese | 21 | 21-23 | €6.0M | €6.0M | 1.00× |
| #13 | Saba Goglichidze Udinese Calcio | 21 | 21-23 | €6.0M | €6.0M | 1.00× |
| #14 | Jacobo Ramón Como 1907 | 21 | 21-23 | €6.0M | €6.0M | 1.00× |
| #15 | Matteo Palma Udinese Calcio | 18 | U21 | €2.5M | €3.0M | 0.83× |
| #16 | Giovanni Bonfanti Pisa Sporting Club | 23 | 21-23 | €4.5M | €6.0M | 0.75× |
| #17 | Tobias Slotsager Hellas Verona | 20 | U21 | €2.0M | €3.0M | 0.67× |
| #18 | Tomás Palacios Inter Milan | 22 | 21-23 | €4.0M | €6.0M | 0.67× |
| #19 | Oliver Provstgaard SS Lazio | 22 | 21-23 | €3.5M | €6.0M | 0.58× |
| #20 | Tiago Gabriel US Lecce | 21 | 21-23 | €3.0M | €6.0M | 0.50× |
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)
Udinese Calcio's Matteo Palma at 18 years old has the highest Return-to-Peak Potential at +44%. That means Matteo Palma is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.
In second is AC Milan's David Odogu, who is 19 years old, with a +40% RPP (7 years to peak). Third is Juan Rodríguez of Cagliari Calcio, who is 20 years old with a +35% RPP (6 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 44% RPP means the player is expected to gain 44% 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 | Matteo Palma Udinese Calcio | 18 | 8 | €2.5M | €4.5M | +44% |
| #2 | David Odogu AC Milan | 19 | 7 | €5.0M | €8.3M | +40% |
| #3 | Juan Rodríguez Cagliari Calcio | 20 | 6 | €3.0M | €4.6M | +35% |
| #4 | Tobias Slotsager Hellas Verona | 20 | 6 | €2.0M | €3.1M | +35% |
| #5 | Matías Pérez US Lecce | 21 | 5 | €500K | €719K | +30% |
| #6 | Sebastian Otoa Genoa CFC | 21 | 5 | €2.0M | €2.9M | +30% |
| #7 | Pietro Comuzzo ACF Fiorentina | 21 | 5 | €25.0M | €35.9M | +30% |
| #8 | Luca Marianucci SSC Napoli | 21 | 5 | €7.5M | €10.8M | +30% |
| #9 | Tiago Gabriel US Lecce | 21 | 5 | €3.0M | €4.3M | +30% |
| #10 | Mikayil Faye US Cremonese | 21 | 5 | €6.0M | €8.6M | +30% |
| #11 | Saba Goglichidze Udinese Calcio | 21 | 5 | €6.0M | €8.6M | +30% |
| #12 | Jacobo Ramón Como 1907 | 21 | 5 | €6.0M | €8.6M | +30% |
| #13 | Giorgio Scalvini Atalanta BC | 22 | 4 | €35.0M | €46.8M | +25% |
| #14 | Oliver Provstgaard SS Lazio | 22 | 4 | €3.5M | €4.7M | +25% |
| #15 | Alessandro Circati Parma Calcio 1913 | 22 | 4 | €8.0M | €10.7M | +25% |
| #16 | Tomás Palacios Inter Milan | 22 | 4 | €4.0M | €5.3M | +25% |
| #17 | Mateus Lusuardi Pisa Sporting Club | 22 | 4 | €800K | €1.1M | +25% |
| #18 | Mariano Troilo Parma Calcio 1913 | 22 | 4 | €6.5M | €8.7M | +25% |
| #19 | Adam Obert Cagliari Calcio | 23 | 3 | €3.0M | €3.7M | +20% |
| #20 | Nicolò Bertola Udinese Calcio | 23 | 3 | €6.0M | €7.5M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Udinese Calcio's Matteo Palma has the highest Risk-Adjusted Upside at 68.9. That means Matteo Palma has 23% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is AC Milan's David Odogu with a 58.0 RAU (19% upside, 0% uncertainty). Third is Tobias Slotsager of Hellas Verona with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 68.9 means the upside is 68.9× 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 | Matteo Palma Udinese Calcio | €3.1M | €2.7M-3.5M | +23% | 68.9 |
| #2 | David Odogu AC Milan | €6.0M | €5.1M-6.8M | +19% | 58.0 |
| #3 | Tobias Slotsager Hellas Verona | €2.3M | €2.0M-2.6M | +15% | 46.3 |
| #4 | Juan Rodríguez Cagliari Calcio | €3.4M | €3.0M-3.9M | +15% | 46.3 |
| #5 | Giorgio Scalvini Atalanta BC | €38.6M | €33.9M-43.2M | +10% | 38.4 |
| #6 | Tiago Gabriel US Lecce | €3.3M | €2.9M-3.8M | +10% | 33.7 |
| #7 | Mikayil Faye US Cremonese | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #8 | Saba Goglichidze Udinese Calcio | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #9 | Jacobo Ramón Como 1907 | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #10 | Luca Marianucci SSC Napoli | €8.3M | €7.1M-9.4M | +10% | 33.7 |
| #11 | Pietro Comuzzo ACF Fiorentina | €27.6M | €23.8M-31.4M | +10% | 33.7 |
| #12 | Matías Pérez US Lecce | €551K | €475K-627K | +10% | 33.7 |
| #13 | Sebastian Otoa Genoa CFC | €2.2M | €1.9M-2.5M | +10% | 33.7 |
| #14 | Daniele Ghilardi AS Roma | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #15 | Alessandro Marcandalli Genoa CFC | €2.1M | €1.9M-2.4M | +7% | 27.5 |
| #16 | Giovanni Bonfanti Pisa Sporting Club | €4.8M | €4.2M-5.4M | +7% | 27.5 |
| #17 | Tarik Muharemović US Sassuolo | €7.5M | €6.6M-8.4M | +7% | 27.5 |
| #18 | Koni De Winter AC Milan | €23.6M | €20.7M-26.4M | +7% | 27.5 |
| #19 | Adam Obert Cagliari Calcio | €3.2M | €2.8M-3.6M | +7% | 27.5 |
| #20 | Nicolò Bertola Udinese Calcio | €6.4M | €5.7M-7.2M | +7% | 27.5 |
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: young centre-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)
US Lecce's Tiago Gabriel in the 21-23 age bracket has the highest Age-Share Concentration at +9.0%. That means Giorgio Scalvini captures 93.0% of total market value while representing only 84.0% of players in their age group—showing dominant elite status.
In second is Pisa Sporting Club's Mateus Lusuardi with a +9.0% ASC (93.0% value share vs 84.0% player share in 21-23 bracket). Third is Mariano Troilo of Parma Calcio 1913 with a +9.0% ASC (93.0% value vs 84.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +9.0% ASC means the player captures 9.0% 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 | Tiago Gabriel US Lecce | 21-23 | 93.0% | 84.0% | +9.0% |
| #2 | Mateus Lusuardi Pisa Sporting Club | 21-23 | 93.0% | 84.0% | +9.0% |
| #3 | Mariano Troilo Parma Calcio 1913 | 21-23 | 93.0% | 84.0% | +9.0% |
| #4 | Matías Pérez US Lecce | 21-23 | 93.0% | 84.0% | +9.0% |
| #5 | Koni De Winter AC Milan | 21-23 | 93.0% | 84.0% | +9.0% |
| #6 | Adam Obert Cagliari Calcio | 21-23 | 93.0% | 84.0% | +9.0% |
| #7 | Giorgio Scalvini Atalanta BC | 21-23 | 93.0% | 84.0% | +9.0% |
| #8 | Nicolò Bertola Udinese Calcio | 21-23 | 93.0% | 84.0% | +9.0% |
| #9 | Oliver Provstgaard SS Lazio | 21-23 | 93.0% | 84.0% | +9.0% |
| #10 | Giovanni Bonfanti Pisa Sporting Club | 21-23 | 93.0% | 84.0% | +9.0% |
| #11 | Mikayil Faye US Cremonese | 21-23 | 93.0% | 84.0% | +9.0% |
| #12 | Tarik Muharemović US Sassuolo | 21-23 | 93.0% | 84.0% | +9.0% |
| #13 | Daniele Ghilardi AS Roma | 21-23 | 93.0% | 84.0% | +9.0% |
| #14 | Pietro Comuzzo ACF Fiorentina | 21-23 | 93.0% | 84.0% | +9.0% |
| #15 | Luca Marianucci SSC Napoli | 21-23 | 93.0% | 84.0% | +9.0% |
| #16 | Alessandro Marcandalli Genoa CFC | 21-23 | 93.0% | 84.0% | +9.0% |
| #17 | Alessandro Circati Parma Calcio 1913 | 21-23 | 93.0% | 84.0% | +9.0% |
| #18 | Sebastian Otoa Genoa CFC | 21-23 | 93.0% | 84.0% | +9.0% |
| #19 | Saba Goglichidze Udinese Calcio | 21-23 | 93.0% | 84.0% | +9.0% |
| #20 | Jacobo Ramón Como 1907 | 21-23 | 93.0% | 84.0% | +9.0% |
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, 23 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
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 €35.0M. 1 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Matías Pérez US Lecce | €500K | €5.0M | -1.67 | Undervalued |
Mateus Lusuardi Pisa Sporting Club | €800K | €5.0M | -1.47 | Good Value |
Koni De Winter AC Milan | €22.0M | €5.0M | -1.00 | Good Value |
Alessandro Marcandalli Genoa CFC | €2.0M | €5.0M | -0.67 | Good Value |
Sebastian Otoa Genoa CFC | €2.0M | €5.0M | -0.67 | Good Value |
Tobias Slotsager Hellas Verona | €2.0M | €5.0M | -0.50 | Fair Value |
Nicolò Bertola Udinese Calcio | €6.0M | €5.0M | -0.33 | Fair Value |
Mikayil Faye US Cremonese | €6.0M | €5.0M | -0.33 | Fair Value |
Saba Goglichidze Udinese Calcio | €6.0M | €5.0M | -0.33 | Fair Value |
Jacobo Ramón Como 1907 | €6.0M | €5.0M | -0.33 | Fair Value |
Matteo Palma Udinese Calcio | €2.5M | €5.0M | 0.00 | Fair Value |
Tiago Gabriel US Lecce | €3.0M | €5.0M | 0.00 | Fair Value |
Mariano Troilo Parma Calcio 1913 | €6.5M | €5.0M | 0.00 | Fair Value |
Adam Obert Cagliari Calcio | €3.0M | €5.0M | 0.00 | Fair Value |
Giorgio Scalvini Atalanta BC | €35.0M | €5.0M | 0.00 | Fair Value |
Pietro Comuzzo ACF Fiorentina | €25.0M | €5.0M | 0.00 | Fair Value |
David Odogu AC Milan | €5.0M | €5.0M | 0.00 | Fair Value |
Oliver Provstgaard SS Lazio | €3.5M | €5.0M | +0.33 | Fair Value |
Tarik Muharemović US Sassuolo | €7.0M | €5.0M | +0.33 | Fair Value |
Juan Rodríguez Cagliari Calcio | €3.0M | €5.0M | +0.50 | Fair Value |
