Best Attacking Midfielders in the World (Oct 2026)
972 players tracked across 512 clubs. Updated October 2026.
Ranked by Analytical Strength Index
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.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Dominik Szoboszlai
Liverpool FC • 25 years old
€86.5M
€100.0M
+15.6%
Expected: €99.8M
95.5
Cole Palmer
Chelsea FC • 24 years old
€86.5M
€100.0M
+15.6%
Expected: €99.8M
95.5
Morgan Rogers
Aston Villa • 24 years old
€77.8M
€90.0M
+15.6%
Expected: €89.8M
95.3
Jude Bellingham
Real Madrid • 23 years old
€112.4M
€130.0M
+15.6%
Expected: €122.9M
94.6
Jamal Musiala
Bayern Munich • 23 years old
€86.5M
€100.0M
+15.6%
Expected: €94.6M
94.6
Florian Wirtz
Liverpool FC • 23 years old
€86.5M
€100.0M
+15.6%
94.6
Fermín López
FC Barcelona • 23 years old
€86.5M
€100.0M
+15.6%
94.6
Rayan Cherki
Manchester City • 23 years old
€77.8M
€90.0M
+15.6%
94.6
Nico Paz
Como 1907 • 22 years old
€69.2M
€80.0M
+15.6%
93.5
Arda Güler
Real Madrid • 21 years old
€77.8M
€90.0M
+15.6%
92.8
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Sign up freeDominik Szoboszlai
Liverpool FC · 25 years old
95.5
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
€86.8M - €112.8M
Cole Palmer
Chelsea FC · 24 years old
95.5
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
€86.8M - €112.8M
Morgan Rogers
Aston Villa · 24 years old
95.3
ASI
Current Value
€90.0M
% Change
+15.6%
1yr Forecast Range
€78.1M - €101.5M
Jude Bellingham
Real Madrid · 23 years old
94.6
ASI
Current Value
€130.0M
% Change
+15.6%
1yr Forecast Range
€106.9M - €138.9M
Jamal Musiala
Bayern Munich · 23 years old
94.6
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
€82.3M - €106.8M
Florian Wirtz
Liverpool FC · 23 years old
94.6
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
Fermín López
FC Barcelona · 23 years old
94.6
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
Rayan Cherki
Manchester City · 23 years old
94.6
ASI
Current Value
€90.0M
% Change
+15.6%
1yr Forecast Range
Nico Paz
Como 1907 · 22 years old
93.5
ASI
Current Value
€80.0M
% Change
+15.6%
1yr Forecast Range
Arda Güler
Real Madrid · 21 years old
92.8
ASI
Current Value
€90.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeMarket Overview: World Attacking Midfielders (updated October 2026)
Our database tracks 972 World Attacking Midfielders as of October 2026, representing 512 clubs with a combined market value of €5.2B. The average market value for World Attacking Midfielders is €5.4M, with the average age at 27 years old.
The most valuable attacking midfielder in the World is Dominik Szoboszlai, worth €100.0M and playing for Liverpool FC at 25 years old. The top 5 Attacking Midfielders average €104.0M in market value, including Cole Palmer and Morgan Rogers.
Age distribution shows the youngest tracked attacking midfielder is Lennart Karl (18 years, Bayern Munich, €60.0M), while the oldest is David Silva (40 years, Real Sociedad, €4.0M). Research shows Attacking Midfielders typically peak at age 27.
Our 1-year forecast model projects 344 Attacking Midfielders (35%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The World market for Attacking Midfielders remains highly competitive with significant transfer activity expected as of October 2026.
Explore Market Size by Position in World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Attacking Midfielders. Identify undervalued assets and track market momentum across 512 clubs with €5.2B combined value.
Age Distribution: World Attacking Midfielders
The World CAM market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (269 players, 28% of market). The 21-23 age group holds the most value at €1.6B, averaging €7.8M per player.
Top Attacking Midfielders by Age Bracket
U21 Years (86 players)
21-23 Years (208 players)
24-26 Years (206 players)
27-29 Years (203 players)
Market Value Distribution
Elite Tier Concentration
The top 98 Attacking Midfielders (10% of players) control €3.2B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 2% of the World CAM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Attacking Midfielders
Among 512 World clubs, Real Madrid leads with 3 Attacking Midfielders worth €227.5M (averaging €75.8M per player). The top 10 clubs account for 3% of tracked Attacking Midfielders.
Real Madrid (3 Attacking Midfielders)
Liverpool FC (4 Attacking Midfielders)
Manchester City (3 Attacking Midfielders)
FC Barcelona (3 Attacking Midfielders)
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)
Real Madrid's Jude Bellingham at 23 years old has the highest Pre-Peak Value Efficiency at 65.00×. That means Jude Bellingham is valued 65.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Liverpool FC's Dominik Szoboszlai, who is 25 years old, with a 50.00× PPVE. Third is Cole Palmer of Chelsea FC, who is 24 years old with a 50.00× 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 65.00× means the player is worth 6400% 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 | Jude Bellingham Real Madrid | 23 | 21-23 | €130.0M | €2.0M | 65.00x |
| #2 | Dominik Szoboszlai Liverpool FC | 25 | 24-26 | €100.0M | €2.0M | 50.00x |
| #3 | Cole Palmer Chelsea FC | 24 | 24-26 | €100.0M | €2.0M | 50.00x |
| #4 | Jamal Musiala Bayern Munich | 23 | 21-23 | €100.0M | €2.0M | 50.00x |
| #5 | Florian Wirtz Liverpool FC | 23 | 21-23 | €100.0M | €2.0M | 50.00x |
| #6 | Fermín López FC Barcelona | 23 | 21-23 | €100.0M | €2.0M | 50.00x |
| #7 | Morgan Rogers Aston Villa | 24 | 24-26 | €90.0M | €2.0M | 45.00x |
| #8 | Rayan Cherki Manchester City | 23 | 21-23 | €90.0M | €2.0M | 45.00x |
| #9 | Arda Güler Real Madrid | 21 | 21-23 | €90.0M | €2.0M | 45.00x |
| #10 | Nico Paz Como 1907 | 22 | 21-23 | €80.0M | €2.0M | 40.00x |
| #11 | Lennart Karl Bayern Munich | 18 | U21 | €60.0M | €2.5M | 24.00x |
| #12 | Xavi Simons RB Leipzig | 23 | 21-23 | €40.0M | €2.0M | 20.00x |
| #13 | Ismael Saibari PSV Eindhoven | 25 | 24-26 | €40.0M | €2.0M | 20.00x |
| #14 | Can Uzun Eintracht Frankfurt | 20 | U21 | €45.0M | €2.5M | 18.00x |
| #15 | Ibrahim Maza Bayer 04 Leverkusen | 20 | U21 | €45.0M | €2.5M | 18.00x |
| #16 | Bilal El Khannouss VfB Stuttgart | 22 | 21-23 | €35.0M | €2.0M | 17.50x |
| #17 | Rodrigo Mora FC Porto | 19 | U21 | €38.0M | €2.5M | 15.20x |
| #18 | Charles De Ketelaere Atalanta BC | 25 | 24-26 | €30.0M | €2.0M | 15.00x |
| #19 | Malik Tillman Bayer 04 Leverkusen | 24 | 24-26 | €30.0M | €2.0M | 15.00x |
| #20 | Martin Baturina Como 1907 | 23 | 21-23 | €30.0M | €2.0M | 15.00x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Unlock Return-to-Peak analysis for World Attacking Midfielders.
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for World Attacking Midfielders.
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
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Upgrade to FanAge-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Unlock Age-Share Concentration for World Attacking Midfielders.
Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
Unlock the Buy Map for World Attacking Midfielders.
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
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How We Rank World Attacking Midfielders
Our Analytical Strength Index is calibrated specifically for attacking midfielders, 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 CAM
Historical Achievement Index (35%)
Peak career market value for World attacking midfielders, 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 World attacking midfielders, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 27 with 6.0%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
World competition level factored into comparative strength assessment.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
CAM Performance Benchmarks
Peak Age: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Compounding and banded around a peak of 27: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• 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: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for attacking midfielders
• 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 World Attacking Midfielders, updated October 2026
Who are the most valuable Attacking Midfielders in the World right now?
The most valuable attacking midfielder in the World today is Dominik Szoboszlai, who is worth €100.0M and plays for Liverpool FC. The second most valuable is Cole Palmer (€100.0M, Chelsea FC), followed by Morgan Rogers (€90.0M, Aston Villa). Our database tracks 972 World Attacking Midfielders with comprehensive market valuations updated in October 2026.
How are World Attacking Midfielders ranked?
World Attacking Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Attacking Midfielders. 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 World 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 Attacking Midfielders peak?
Attacking midfielders typically peak at age 27, in line with other midfielders. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, and steeper from 30. This position demands high technical ability, creativity, and burst acceleration. The optimal playing time is around 2,400 minutes per season.
How much does it cost to sign a top attacking midfielder from the World?
Transfer fees for World Attacking Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked attacking midfielder Dominik Szoboszlai (market value: €100.0M), estimated transfer fees would range from €80.0M to €140.0M 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 World transactions.
What is the value forecast for World Attacking Midfielders?
Our 1-year forecast model projects market value changes for World Attacking Midfielders based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), 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-midfielders have ±12-15% 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 World attacking midfielder data come from?
Our World attacking midfielder 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 World sources and updated monthly (last update October 2026) to ensure accuracy for recruitment and investment decisions.
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