Best Attacking Midfielders in the Serie A (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Serie A Attacking Midfielders 2025-26
Our database tracks 39 Serie A Attacking Midfielders in the 2025-26 season, representing 19 clubs with a combined market value of €347.2M. The average market value for Serie A Attacking Midfielders is €8.9M, with the average age at 25.3 years old.
The most valuable attacking midfielder in the Serie A is Nico Paz, worth €55.0M and playing for Como 1907 at 21 years old. The top 5 Attacking Midfielders average €31.4M in market value, including Charles De Ketelaere and Teun Koopmeiners.
Age distribution shows the youngest tracked attacking midfielder is Naj Razi (18 years, Without Club, €300K), while the oldest is Nicolas Viola (36 years, Without Club, €1.0M). Research shows Attacking Midfielders typically peak at age 26.
Our 1-year forecast model projects 27 Attacking Midfielders (69%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Serie A market for Attacking Midfielders remains actively developing with emerging talent in the 2025-26 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 Attacking Midfielders. Identify undervalued assets and track market momentum across 19 clubs with €347.2M combined value.
Age Distribution: Serie A Attacking Midfielders
The Serie A CAM market shows 5 distinct age segments, with the largest cohort in the 21-23 bracket (11 players, 28% of market). The 21-23 age group holds the most value at €124.1M, averaging €11.3M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (5 players)
21-23 Years (11 players)
24-26 Years (11 players)
27-29 Years (6 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Attacking Midfielders (10% of players) control €137.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Serie A CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Serie A Attacking Midfielders
Among 19 Serie A clubs, Atalanta BC leads with 3 Attacking Midfielders worth €62.0M (averaging €20.7M per player). The top 10 clubs account for 64% of tracked Attacking Midfielders.
Atalanta BC (3 Attacking Midfielders)
Como 1907 (2 Attacking Midfielders)
Juventus FC (2 Attacking Midfielders)
Genoa CFC (5 Attacking Midfielders)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Nico Paz
Como 1907 • 21 years old
€47.6M
€55.0M
+15.6%
Expected: €72.2M
85.7
Charles De Ketelaere
Atalanta BC • 24 years old
€30.3M
€35.0M
+15.6%
Expected: €40.4M
82.3
Teun Koopmeiners
Juventus FC • 27 years old
€30.0M
€30.0M
+0.0%
Expected: €29.5M
76.6
Lazar Samardžić
Atalanta BC • 23 years old
€14.7M
€17.0M
+15.6%
Expected: €20.5M
70.5
Kevin De Bruyne
SSC Napoli • 34 years old
€20.0M
€20.0M
+0.0%
Expected: €19.6M
66.2
Nicolò Zaniolo
Udinese Calcio • 26 years old
€10.4M
€12.0M
+15.6%
Expected: €12.9M
66.2
Jens Odgaard
Bologna FC 1909 • 26 years old
€10.4M
€12.0M
+15.6%
Expected: €12.9M
66.2
Giovanni Fabbian
Bologna FC 1909 • 22 years old
€10.4M
€12.0M
+15.6%
Expected: €15.1M
65.1
Valentín Carboni
Genoa CFC • 20 years old
€10.4M
€12.0M
+15.6%
Expected: €16.4M
63.0
Daniel Maldini
Atalanta BC • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €11.1M
60.2
Albert Grønbæk
Genoa CFC • 24 years old
€8.2M
€9.5M
+15.6%
Expected: €10.5M
59.6
Tommaso Baldanzi
AS Roma • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €12.1M
59.1
Kristian Thorstvedt
US Sassuolo • 26 years old
€7.8M
€9.0M
+15.6%
Expected: €9.3M
58.9
Fisayo Dele-Bashiru
SS Lazio • 24 years old
€6.5M
€7.5M
+15.6%
Expected: €8.3M
56.7
Lorenzo Pellegrini
AS Roma • 29 years old
€9.0M
€9.0M
+0.0%
Expected: €8.5M
56.6
Nikola Vlašić
Torino FC • 28 years old
€8.0M
€8.0M
+0.0%
Expected: €7.6M
55.9
Matteo Tramoni
Pisa Sporting Club • 25 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
55.9
Calvin Stengs
Pisa Sporting Club • 26 years old
€6.1M
€7.0M
+15.6%
Expected: €7.2M
55.9
Lorran
Pisa Sporting Club • 19 years old
€7.8M
€9.0M
+15.6%
Expected: €12.3M
54.6
Tomas Suslov
Hellas Verona • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €7.0M
54.0
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)
Como 1907's Nico Paz at 21 years old has the highest Pre-Peak Value Efficiency at 9.17×. That means Nico Paz is valued 9.17× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Atalanta BC's Charles De Ketelaere, who is 24 years old, with a 3.68× PPVE. Third is Lazar Samardžić of Atalanta BC, who is 23 years old with a 2.83× 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 9.17× means the player is worth 817% 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 | Nico Paz Como 1907 | 21 | 21-23 | €55.0M | €6.0M | 9.17× |
| #2 | Charles De Ketelaere Atalanta BC | 24 | 24-26 | €35.0M | €9.5M | 3.68× |
| #3 | Lazar Samardžić Atalanta BC | 23 | 21-23 | €17.0M | €6.0M | 2.83× |
| #4 | Giovanni Fabbian Bologna FC 1909 | 22 | 21-23 | €12.0M | €6.0M | 2.00× |
| #5 | Tommaso Baldanzi AS Roma | 22 | 21-23 | €10.0M | €6.0M | 1.67× |
| #6 | Valentín Carboni Genoa CFC | 20 | U21 | €12.0M | €8.0M | 1.50× |
| #7 | Lorran Pisa Sporting Club | 19 | U21 | €9.0M | €8.0M | 1.13× |
| #8 | Cristian Volpato US Sassuolo | 21 | 21-23 | €6.5M | €6.0M | 1.08× |
| #9 | Daniel Maldini Atalanta BC | 24 | 24-26 | €10.0M | €9.5M | 1.05× |
| #10 | Tino Anjorin Torino FC | 23 | 21-23 | €6.0M | €6.0M | 1.00× |
| #11 | Albert Grønbæk Genoa CFC | 24 | 24-26 | €9.5M | €9.5M | 1.00× |
| #12 | Tomas Suslov Hellas Verona | 23 | 21-23 | €6.0M | €6.0M | 1.00× |
| #13 | Gaetano Oristanio Parma Calcio 1913 | 23 | 21-23 | €6.0M | €6.0M | 1.00× |
| #14 | Vasilije Adžić Juventus FC | 19 | U21 | €8.0M | €8.0M | 1.00× |
| #15 | Fisayo Dele-Bashiru SS Lazio | 24 | 24-26 | €7.5M | €9.5M | 0.79× |
| #16 | Matteo Tramoni Pisa Sporting Club | 25 | 24-26 | €7.0M | €9.5M | 0.74× |
| #17 | Filip Marchwinski US Lecce | 23 | 21-23 | €3.0M | €6.0M | 0.50× |
| #18 | Gianluca Gaetano Cagliari Calcio | 25 | 24-26 | €4.0M | €9.5M | 0.42× |
| #19 | Antonio Vergara SSC Napoli | 22 | 21-23 | €2.2M | €6.0M | 0.37× |
| #20 | Nicolò Cavuoti Cagliari Calcio | 22 | 21-23 | €400K | €6.0M | 0.07× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Without Club's Naj Razi has the highest Risk-Adjusted Upside at 84.7. That means Naj Razi has 41% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Genoa CFC's Valentín Carboni with a 77.6 RAU (37% upside, 0% uncertainty). Third is Lorran of Pisa Sporting Club with a 77.1 RAU (36% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 84.7 means the upside is 84.7× 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 | Naj Razi Without Club | €424K | €351K-497K | +41% | 84.7 |
| #2 | Valentín Carboni Genoa CFC | €16.4M | €13.6M-19.2M | +37% | 77.6 |
| #3 | Lorran Pisa Sporting Club | €12.3M | €10.1M-14.4M | +36% | 77.1 |
| #4 | Vasilije Adžić Juventus FC | €10.9M | €9.0M-12.8M | +36% | 77.1 |
| #5 | Nico Paz Como 1907 | €72.2M | €59.8M-84.7M | +31% | 69.1 |
| #6 | Hugo Cuenca Genoa CFC | €394K | €326K-462K | +31% | 69.0 |
| #7 | Giovanni Fabbian Bologna FC 1909 | €15.1M | €12.9M-17.4M | +26% | 68.9 |
| #8 | Cristian Volpato US Sassuolo | €8.2M | €6.8M-9.6M | +26% | 60.1 |
| #9 | Tommaso Baldanzi AS Roma | €12.1M | €10.3M-13.9M | +21% | 58.1 |
| #10 | Nicolò Cavuoti Cagliari Calcio | €485K | €412K-557K | +21% | 58.1 |
| #11 | Antonio Vergara SSC Napoli | €2.7M | €2.3M-3.1M | +21% | 58.1 |
| #12 | Lazar Samardžić Atalanta BC | €20.5M | €17.5M-23.6M | +21% | 57.4 |
| #13 | Tino Anjorin Torino FC | €7.0M | €5.9M-8.0M | +16% | 46.2 |
| #14 | Tomas Suslov Hellas Verona | €7.0M | €5.9M-8.0M | +16% | 46.2 |
| #15 | Filip Marchwinski US Lecce | €3.5M | €3.0M-4.0M | +16% | 46.2 |
| #16 | Gaetano Oristanio Parma Calcio 1913 | €7.0M | €5.9M-8.0M | +16% | 46.2 |
| #17 | Charles De Ketelaere Atalanta BC | €40.4M | €34.4M-46.5M | +16% | 44.9 |
| #18 | Fisayo Dele-Bashiru SS Lazio | €8.3M | €7.1M-9.6M | +11% | 33.1 |
| #19 | Daniel Maldini Atalanta BC | €11.1M | €9.4M-12.8M | +11% | 33.1 |
| #20 | Albert Grønbæk Genoa CFC | €10.5M | €9.0M-12.1M | +11% | 33.1 |
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: attacking midfielder 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)
Torino FC's Tino Anjorin in the 21-23 age bracket has the highest Age-Share Concentration at +7.5%. That means Nico Paz captures 35.7% of total market value while representing only 28.2% of players in their age group—showing dominant elite status.
In second is Atalanta BC's Lazar Samardžić with a +7.5% ASC (35.7% value share vs 28.2% player share in 21-23 bracket). Third is Tomas Suslov of Hellas Verona with a +7.5% ASC (35.7% value vs 28.2% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +7.5% ASC means the player captures 7.5% 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 | Tino Anjorin Torino FC | 21-23 | 35.7% | 28.2% | +7.5% |
| #2 | Lazar Samardžić Atalanta BC | 21-23 | 35.7% | 28.2% | +7.5% |
| #3 | Tomas Suslov Hellas Verona | 21-23 | 35.7% | 28.2% | +7.5% |
| #4 | Filip Marchwinski US Lecce | 21-23 | 35.7% | 28.2% | +7.5% |
| #5 | Gaetano Oristanio Parma Calcio 1913 | 21-23 | 35.7% | 28.2% | +7.5% |
| #6 | Giovanni Fabbian Bologna FC 1909 | 21-23 | 35.7% | 28.2% | +7.5% |
| #7 | Tommaso Baldanzi AS Roma | 21-23 | 35.7% | 28.2% | +7.5% |
| #8 | Nicolò Cavuoti Cagliari Calcio | 21-23 | 35.7% | 28.2% | +7.5% |
| #9 | Antonio Vergara SSC Napoli | 21-23 | 35.7% | 28.2% | +7.5% |
| #10 | Cristian Volpato US Sassuolo | 21-23 | 35.7% | 28.2% | +7.5% |
| #11 | Nico Paz Como 1907 | 21-23 | 35.7% | 28.2% | +7.5% |
| #12 | Simone Verdi Como 1907 | 30+ | 8.1% | 15.4% | -7.3% |
| #13 | Nicolae Stanciu Genoa CFC | 30+ | 8.1% | 15.4% | -7.3% |
| #14 | Ruslan Malinovskyi Genoa CFC | 30+ | 8.1% | 15.4% | -7.3% |
| #15 | Franco Vázquez US Cremonese | 30+ | 8.1% | 15.4% | -7.3% |
| #16 | Nicolas Viola Without Club | 30+ | 8.1% | 15.4% | -7.3% |
| #17 | Kevin De Bruyne SSC Napoli | 30+ | 8.1% | 15.4% | -7.3% |
| #18 | Jens Odgaard Bologna FC 1909 | 24-26 | 32.6% | 28.2% | +4.4% |
| #19 | Gianluca Gaetano Cagliari Calcio | 24-26 | 32.6% | 28.2% | +4.4% |
| #20 | Nicolò Zaniolo Udinese Calcio | 24-26 | 32.6% | 28.2% | +4.4% |
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: 17 immediate targets, 5 standard acquisitions, 0 watch-list prospects, 9 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 €900K. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Nikola Vlašić Torino FC | €8.0M | €7.0M | -1.00 | Good Value |
André Anderson Without Club | €150K | €7.0M | -1.00 | Good Value |
Nicolò Cavuoti Cagliari Calcio | €400K | €7.0M | -0.69 | Good Value |
Calvin Stengs Pisa Sporting Club | €7.0M | €7.0M | -0.56 | Good Value |
Matteo Tramoni Pisa Sporting Club | €7.0M | €7.0M | -0.56 | Good Value |
Fisayo Dele-Bashiru SS Lazio | €7.5M | €7.0M | -0.44 | Fair Value |
Grigoris Kastanos Hellas Verona | €1.5M | €7.0M | -0.40 | Fair Value |
Vasilije Adžić Juventus FC | €8.0M | €7.0M | -0.25 | Fair Value |
Franco Vázquez US Cremonese | €750K | €7.0M | -0.16 | Fair Value |
Tino Anjorin Torino FC | €6.0M | €7.0M | -0.13 | Fair Value |
Tomas Suslov Hellas Verona | €6.0M | €7.0M | -0.13 | Fair Value |
Gaetano Oristanio Parma Calcio 1913 | €6.0M | €7.0M | -0.13 | Fair Value |
Kristian Thorstvedt US Sassuolo | €9.0M | €7.0M | -0.11 | Fair Value |
Simone Verdi Como 1907 | €900K | €7.0M | -0.06 | Fair Value |
Lorran Pisa Sporting Club | €9.0M | €7.0M | 0.00 | Fair Value |
Lorenzo Pellegrini AS Roma | €9.0M | €7.0M | 0.00 | Fair Value |
Abdelhamid Sabiri ACF Fiorentina | €1.7M | €7.0M | 0.00 | Fair Value |
Gianluca Gaetano Cagliari Calcio | €4.0M | €7.0M | 0.00 | Fair Value |
Teun Koopmeiners Juventus FC | €30.0M | €7.0M | 0.00 | Fair Value |
Charles De Ketelaere Atalanta BC | €35.0M | €7.0M | 0.00 | Fair Value |