Best U23 Young Centre-Backs in the Serie A
25 players aged 23 or under · ranked by Analytical Strength Index
Best Young Centre-Backs in the Serie A (Jun 2026)
Ranked by Analytical Strength Index
Market Overview: Serie A Young Centre-Backs 2022-23
Our database tracked 25 Serie A Young Centre-Backs in the 2022-23 season, representing 16 clubs with a combined market value of €203.8M. The average market value for Serie A Young Centre-Backs was €8.2M, with the average age at 21 years old.
The most valuable young centre-back in the Serie A was Giorgio Scalvini, worth €25.0M and played for Atalanta BC at 22 years old. The top 5 Young Centre-Backs averaged €21.0M in market value, including Pietro Comuzzo and Honest Ahanor.
Age distribution showed the youngest tracked young centre-back was Honest Ahanor (18 years, Atalanta BC, €25.0M), while the oldest was Tarik Muharemović (23 years, US Sassuolo, €14.0M). 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 2022-23 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 16 clubs with €203.8M 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 €167.8M, averaging €8.0M 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 €73.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 20% of the Serie A CB pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Serie A Young Centre-Backs
Among 16 Serie A clubs, Atalanta BC leads with 2 Young Centre-Backs worth €50.0M (averaging €25.0M per player). The top 10 clubs account for 68% of tracked Young Centre-Backs.
Atalanta BC (2 Young Centre-Backs)
ACF Fiorentina (1 Young Centre-Backs)
Como 1907 (1 Young Centre-Backs)
US Lecce (2 Young Centre-Backs)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Giorgio Scalvini
Atalanta BC • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.2
Pietro Comuzzo
ACF Fiorentina • 21 years old
€19.9M
€23.0M
+15.6%
Expected: €25.4M
74.5
Honest Ahanor
Atalanta BC • 18 years old
€21.6M
€25.0M
+15.6%
Expected: €30.9M
73.8
Jacobo Ramón
Como 1907 • 21 years old
€15.6M
€18.0M
+15.6%
Expected: €19.8M
71.5
Tarik Muharemović
US Sassuolo • 23 years old
€12.1M
€14.0M
+15.6%
Expected: €15.0M
69.6
Tiago Gabriel
US Lecce • 21 years old
€13.0M
€15.0M
+15.6%
Expected: €16.5M
69.2
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
Luca Marianucci
Torino FC • 21 years old
€6.5M
€7.5M
+15.6%
Expected: €8.3M
57.0
Nicolò Bertola
Udinese Calcio • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Mariano Troilo
Parma Calcio 1913 • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.8
Mikayil Faye
US Cremonese • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Juan Rodríguez
Cagliari Calcio • 21 years old
€4.3M
€5.0M
+15.6%
Expected: €5.5M
52.0
Oliver Provstgaard
SS Lazio • 23 years old
€3.9M
€4.5M
+15.6%
Expected: €4.8M
51.9
Filippo Terracciano
US Cremonese • 23 years old
€3.9M
€4.5M
+15.6%
Expected: €4.8M
51.9
David Odogu
AC Milan • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.3
Saba Goglichidze
Udinese Calcio • 21 years old
€3.9M
€4.5M
+15.6%
Expected: €5.0M
50.6
Adam Obert
Cagliari Calcio • 23 years old
€3.5M
€4.0M
+15.6%
Expected: €4.3M
50.4
Branimir Mlacic
Udinese Calcio • 19 years old
€3.5M
€4.0M
+15.6%
Expected: €4.8M
48.0
Alessandro Marcandalli
Genoa CFC • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.7M
40.9
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)
Atalanta BC's Honest Ahanor at 18 years old has the highest Pre-Peak Value Efficiency at 5.00×. That means Honest Ahanor is valued 5.00× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is Atalanta BC's Giorgio Scalvini, who is 22 years old, with a 4.17× PPVE. Third is Pietro Comuzzo of ACF Fiorentina, who is 21 years old with a 3.83× 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 | Honest Ahanor Atalanta BC | 18 | U21 | €25.0M | €5.0M | 5.00× |
| #2 | Giorgio Scalvini Atalanta BC | 22 | 21-23 | €25.0M | €6.0M | 4.17× |
| #3 | Pietro Comuzzo ACF Fiorentina | 21 | 21-23 | €23.0M | €6.0M | 3.83× |
| #4 | Jacobo Ramón Como 1907 | 21 | 21-23 | €18.0M | €6.0M | 3.00× |
| #5 | Tiago Gabriel US Lecce | 21 | 21-23 | €15.0M | €6.0M | 2.50× |
| #6 | Tarik Muharemović US Sassuolo | 23 | 21-23 | €14.0M | €6.0M | 2.33× |
| #7 | Daniele Ghilardi AS Roma | 23 | 21-23 | €8.0M | €6.0M | 1.33× |
| #8 | Alessandro Circati Parma Calcio 1913 | 22 | 21-23 | €8.0M | €6.0M | 1.33× |
| #9 | Luca Marianucci Torino FC | 21 | 21-23 | €7.5M | €6.0M | 1.25× |
| #10 | Mariano Troilo Parma Calcio 1913 | 22 | 21-23 | €6.0M | €6.0M | 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 | David Odogu AC Milan | 20 | U21 | €5.0M | €5.0M | 1.00× |
| #14 | Juan Rodríguez Cagliari Calcio | 21 | 21-23 | €5.0M | €6.0M | 0.83× |
| #15 | Branimir Mlacic Udinese Calcio | 19 | U21 | €4.0M | €5.0M | 0.80× |
| #16 | Filippo Terracciano US Cremonese | 23 | 21-23 | €4.5M | €6.0M | 0.75× |
| #17 | Oliver Provstgaard SS Lazio | 23 | 21-23 | €4.5M | €6.0M | 0.75× |
| #18 | Saba Goglichidze Udinese Calcio | 21 | 21-23 | €4.5M | €6.0M | 0.75× |
| #19 | Adam Obert Cagliari Calcio | 23 | 21-23 | €4.0M | €6.0M | 0.67× |
| #20 | Alessandro Marcandalli Genoa CFC | 23 | 21-23 | €2.5M | €6.0M | 0.42× |
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)
Atalanta BC's Honest Ahanor at 18 years old has the highest Return-to-Peak Potential at +44%. That means Honest Ahanor is projected to appreciate 44% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is Udinese Calcio's Branimir Mlacic, who is 19 years old, with a +40% RPP (7 years to peak). Third is Tobias Slotsager of Hellas Verona, 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 | Honest Ahanor Atalanta BC | 18 | 8 | €25.0M | €44.7M | +44% |
| #2 | Branimir Mlacic Udinese Calcio | 19 | 7 | €4.0M | €6.6M | +40% |
| #3 | Tobias Slotsager Hellas Verona | 20 | 6 | €2.0M | €3.1M | +35% |
| #4 | David Odogu AC Milan | 20 | 6 | €5.0M | €7.7M | +35% |
| #5 | Matías Pérez US Lecce | 21 | 5 | €500K | €719K | +30% |
| #6 | Saba Goglichidze Udinese Calcio | 21 | 5 | €4.5M | €6.5M | +30% |
| #7 | Jacobo Ramón Como 1907 | 21 | 5 | €18.0M | €25.9M | +30% |
| #8 | Tiago Gabriel US Lecce | 21 | 5 | €15.0M | €21.6M | +30% |
| #9 | Juan Rodríguez Cagliari Calcio | 21 | 5 | €5.0M | €7.2M | +30% |
| #10 | Luca Marianucci Torino FC | 21 | 5 | €7.5M | €10.8M | +30% |
| #11 | Rosen Bozhinov Pisa Sporting Club | 21 | 5 | €2.5M | €3.6M | +30% |
| #12 | Mikayil Faye US Cremonese | 21 | 5 | €6.0M | €8.6M | +30% |
| #13 | Pietro Comuzzo ACF Fiorentina | 21 | 5 | €23.0M | €33.1M | +30% |
| #14 | Sebastian Otoa Genoa CFC | 22 | 4 | €2.5M | €3.3M | +25% |
| #15 | Alessandro Circati Parma Calcio 1913 | 22 | 4 | €8.0M | €10.7M | +25% |
| #16 | Mateus Lusuardi Pisa Sporting Club | 22 | 4 | €800K | €1.1M | +25% |
| #17 | Giorgio Scalvini Atalanta BC | 22 | 4 | €25.0M | €33.4M | +25% |
| #18 | Mariano Troilo Parma Calcio 1913 | 22 | 4 | €6.0M | €8.0M | +25% |
| #19 | Nicolò Bertola Udinese Calcio | 23 | 3 | €6.0M | €7.5M | +20% |
| #20 | Alessandro Marcandalli Genoa CFC | 23 | 3 | €2.5M | €3.1M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Atalanta BC's Honest Ahanor has the highest Risk-Adjusted Upside at 68.9. That means Honest Ahanor has 23% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Udinese Calcio's Branimir Mlacic 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 | Honest Ahanor Atalanta BC | €30.9M | €26.6M-35.1M | +23% | 68.9 |
| #2 | Branimir Mlacic Udinese Calcio | €4.8M | €4.1M-5.4M | +19% | 58.0 |
| #3 | Tobias Slotsager Hellas Verona | €2.3M | €2.0M-2.6M | +15% | 46.3 |
| #4 | David Odogu AC Milan | €5.7M | €4.9M-6.5M | +15% | 46.3 |
| #5 | Pietro Comuzzo ACF Fiorentina | €25.4M | €21.9M-28.9M | +10% | 33.7 |
| #6 | Juan Rodríguez Cagliari Calcio | €5.5M | €4.8M-6.3M | +10% | 33.7 |
| #7 | Mikayil Faye US Cremonese | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #8 | Rosen Bozhinov Pisa Sporting Club | €2.8M | €2.4M-3.1M | +10% | 33.7 |
| #9 | Tiago Gabriel US Lecce | €16.5M | €14.3M-18.8M | +10% | 33.7 |
| #10 | Luca Marianucci Torino FC | €8.3M | €7.1M-9.4M | +10% | 33.7 |
| #11 | Saba Goglichidze Udinese Calcio | €5.0M | €4.3M-5.6M | +10% | 33.7 |
| #12 | Jacobo Ramón Como 1907 | €19.8M | €17.1M-22.6M | +10% | 33.7 |
| #13 | Matías Pérez US Lecce | €551K | €475K-627K | +10% | 33.7 |
| #14 | Adam Obert Cagliari Calcio | €4.3M | €3.8M-4.8M | +7% | 27.5 |
| #15 | Daniele Ghilardi AS Roma | €8.6M | €7.5M-9.6M | +7% | 27.5 |
| #16 | Alessandro Marcandalli Genoa CFC | €2.7M | €2.4M-3.0M | +7% | 27.5 |
| #17 | Filippo Terracciano US Cremonese | €4.8M | €4.2M-5.4M | +7% | 27.5 |
| #18 | Oliver Provstgaard SS Lazio | €4.8M | €4.2M-5.4M | +7% | 27.5 |
| #19 | Tarik Muharemović US Sassuolo | €15.0M | €13.2M-16.8M | +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 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 Lecce's Tiago Gabriel in the 21-23 age bracket has the highest Age-Share Concentration at +-1.7%. That means Giorgio Scalvini captures 82.3% 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 +-1.7% ASC (82.3% value share vs 84.0% player share in 21-23 bracket). Third is Mariano Troilo of Parma Calcio 1913 with a +-1.7% ASC (82.3% value vs 84.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-1.7% ASC means the player captures -1.7% 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 | 82.3% | 84.0% | -1.7% |
| #2 | Mateus Lusuardi Pisa Sporting Club | 21-23 | 82.3% | 84.0% | -1.7% |
| #3 | Mariano Troilo Parma Calcio 1913 | 21-23 | 82.3% | 84.0% | -1.7% |
| #4 | Matías Pérez US Lecce | 21-23 | 82.3% | 84.0% | -1.7% |
| #5 | Juan Rodríguez Cagliari Calcio | 21-23 | 82.3% | 84.0% | -1.7% |
| #6 | Adam Obert Cagliari Calcio | 21-23 | 82.3% | 84.0% | -1.7% |
| #7 | Giorgio Scalvini Atalanta BC | 21-23 | 82.3% | 84.0% | -1.7% |
| #8 | Filippo Terracciano US Cremonese | 21-23 | 82.3% | 84.0% | -1.7% |
| #9 | Nicolò Bertola Udinese Calcio | 21-23 | 82.3% | 84.0% | -1.7% |
| #10 | Oliver Provstgaard SS Lazio | 21-23 | 82.3% | 84.0% | -1.7% |
| #11 | Mikayil Faye US Cremonese | 21-23 | 82.3% | 84.0% | -1.7% |
| #12 | Tarik Muharemović US Sassuolo | 21-23 | 82.3% | 84.0% | -1.7% |
| #13 | Daniele Ghilardi AS Roma | 21-23 | 82.3% | 84.0% | -1.7% |
| #14 | Pietro Comuzzo ACF Fiorentina | 21-23 | 82.3% | 84.0% | -1.7% |
| #15 | Luca Marianucci Torino FC | 21-23 | 82.3% | 84.0% | -1.7% |
| #16 | Alessandro Marcandalli Genoa CFC | 21-23 | 82.3% | 84.0% | -1.7% |
| #17 | Alessandro Circati Parma Calcio 1913 | 21-23 | 82.3% | 84.0% | -1.7% |
| #18 | Rosen Bozhinov Pisa Sporting Club | 21-23 | 82.3% | 84.0% | -1.7% |
| #19 | Sebastian Otoa Genoa CFC | 21-23 | 82.3% | 84.0% | -1.7% |
| #20 | Saba Goglichidze Udinese Calcio | 21-23 | 82.3% | 84.0% | -1.7% |
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: 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 €23.0M. 0 undervalued, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Juan Rodríguez Cagliari Calcio | €5.0M | €5.0M | -1.25 | Good Value |
Tiago Gabriel US Lecce | €15.0M | €5.0M | -1.14 | Good Value |
Matías Pérez US Lecce | €500K | €5.0M | -1.00 | Good Value |
Tobias Slotsager Hellas Verona | €2.0M | €5.0M | -1.00 | Good Value |
Mateus Lusuardi Pisa Sporting Club | €800K | €5.0M | -0.85 | Good Value |
Mariano Troilo Parma Calcio 1913 | €6.0M | €5.0M | -0.75 | Good Value |
Nicolò Bertola Udinese Calcio | €6.0M | €5.0M | -0.75 | Good Value |
Mikayil Faye US Cremonese | €6.0M | €5.0M | -0.75 | Good Value |
Jacobo Ramón Como 1907 | €18.0M | €5.0M | -0.71 | Good Value |
Honest Ahanor Atalanta BC | €25.0M | €5.0M | 0.00 | Fair Value |
Branimir Mlacic Udinese Calcio | €4.0M | €5.0M | 0.00 | Fair Value |
Pietro Comuzzo ACF Fiorentina | €23.0M | €5.0M | 0.00 | Fair Value |
Luca Marianucci Torino FC | €7.5M | €5.0M | 0.00 | Fair Value |
Alessandro Marcandalli Genoa CFC | €2.5M | €5.0M | 0.00 | Fair Value |
Rosen Bozhinov Pisa Sporting Club | €2.5M | €5.0M | 0.00 | Fair Value |
Sebastian Otoa Genoa CFC | €2.5M | €5.0M | 0.00 | Fair Value |
David Odogu AC Milan | €5.0M | €5.0M | 0.00 | Fair Value |
Daniele Ghilardi AS Roma | €8.0M | €5.0M | +0.25 | Fair Value |
Alessandro Circati Parma Calcio 1913 | €8.0M | €5.0M | +0.25 | Fair Value |
Giorgio Scalvini Atalanta BC | €25.0M | €5.0M | +0.29 | Fair Value |
How We Rank Serie A Young Centre-Backs
Our Analytical Strength Index is calibrated specifically for young centre-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 CB
Historical Achievement Index (35%)
Peak career market value for Serie A young centre-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 young centre-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.
CB 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 young centre-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 Young Centre-Backs in the 2022-23 season
Who are the most valuable Young Centre-Backs in the Serie A in 2022-23?
The most valuable young centre-back in the Serie A in 2022-23 is Giorgio Scalvini, who is worth €25.0M and plays for Atalanta BC. The second most valuable is Pietro Comuzzo (€23.0M, ACF Fiorentina), followed by Honest Ahanor (€25.0M, Atalanta BC). Our database tracks 25 Serie A Young Centre-Backs with comprehensive market valuations updated for the 2022-23 season.
How are Serie A Young Centre-Backs ranked?
Serie A Young Centre-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Centre-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 Young Centre-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 young centre-back from the Serie A?
Transfer fees for Serie A Young Centre-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young centre-back Giorgio Scalvini (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 Young Centre-Backs?
Our 1-year forecast model projects market value changes for Serie A Young Centre-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 young centre-back data come from?
Our Serie A young centre-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 2022-23 season to ensure accuracy for recruitment and investment decisions.