Best U23 Young Midfielders in the World
304 players aged 23 or under · ranked by Analytical Strength Index
Best Young Midfielders in the World (Sep 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.
Pedri
FC Barcelona • 23 years old
€129.7M
€150.0M
+15.6%
Expected: €141.8M
94.6
Elliot Anderson
Nottingham Forest • 23 years old
€64.9M
€75.0M
+15.6%
Expected: €73.0M
94.4
João Neves
Paris Saint-Germain • 21 years old
€121.1M
€140.0M
+15.6%
Expected: €136.2M
92.8
Kobbie Mainoo
Manchester United • 21 years old
€60.5M
€70.0M
+15.6%
Expected: €70.7M
92.8
Warren Zaïre-Emery
Paris Saint-Germain • 20 years old
€69.2M
€80.0M
+15.6%
Expected: €79.3M
91.9
Pablo Barrios
Atlético de Madrid • 23 years old
€47.6M
€55.0M
+15.6%
Expected: €53.5M
85.0
Johan Manzambi
SC Freiburg • 20 years old
€43.2M
€50.0M
+15.6%
Expected: €52.8M
84.1
Victor Froholdt
FC Porto • 20 years old
€43.2M
€50.0M
+15.6%
Expected: €52.8M
83.8
Ayyoub Bouaddi
LOSC Lille • 18 years old
€43.2M
€50.0M
+15.6%
Expected: €52.8M
82.4
Mateus Fernandes
West Ham United • 22 years old
€43.2M
€50.0M
+15.6%
Expected: €50.5M
81.2
Eduardo Camavinga
Real Madrid • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €48.7M
80.1
Alex Scott
AFC Bournemouth • 23 years old
€43.2M
€50.0M
+15.6%
Expected: €48.7M
80.0
Senny Mayulu
Paris Saint-Germain • 20 years old
€34.6M
€40.0M
+15.6%
Expected: €42.2M
72.8
Jobe Bellingham
Borussia Dortmund • 20 years old
€34.6M
€40.0M
+15.6%
Expected: €42.2M
72.6
Tom Bischof
Bayern Munich • 21 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
71.7
Andrey Santos
Chelsea FC • 22 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
70.8
Petar Sučić
Inter Milan • 22 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
70.6
Lamine Camara
AS Monaco • 22 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
70.6
Valentín Barco
RC Strasbourg Alsace • 22 years old
€34.6M
€40.0M
+15.6%
Expected: €40.4M
70.6
Lucas Bergvall
Tottenham Hotspur • 20 years old
€30.3M
€35.0M
+15.6%
Expected: €36.9M
66.9
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Explore Market Size by Position in World
Interactive bubble chart showing predicted 2-year growth vs current age for all World Young Midfielders. Identify undervalued assets and track market momentum across 205 clubs with €3.1B combined value.
Age Distribution: World Young Midfielders
The World CM market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (220 players, 74% of market). The 21-23 age group holds the most value at €2.2B, averaging €10.0M per player.
Top Young Midfielders by Age Bracket
U21 Years (78 players)
21-23 Years (220 players)
Market Value Distribution
Elite Tier Concentration
The top 30 Young Midfielders (10% of players) control €1.5B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 4% of the World CM pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: World Young Midfielders
Among 205 World clubs, Paris Saint-Germain leads with 3 Young Midfielders worth €260.0M (averaging €86.7M per player). The top 10 clubs account for 8% of tracked Young Midfielders.
Paris Saint-Germain (3 Young Midfielders)
FC Barcelona (3 Young Midfielders)
Real Madrid (4 Young Midfielders)
Nottingham Forest (1 Young 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)
FC Barcelona's Pedri at 23 years old has the highest Pre-Peak Value Efficiency at 42.86×. That means Pedri is valued 42.86× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Paris Saint-Germain's João Neves, who is 21 years old, with a 40.00× PPVE. Third is Elliot Anderson of Nottingham Forest, who is 23 years old with a 21.43× 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 42.86× means the player is worth 4186% 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 | Pedri FC Barcelona | 23 | 21-23 | €150.0M | €3.5M | 42.86× |
| #2 | João Neves Paris Saint-Germain | 21 | 21-23 | €140.0M | €3.5M | 40.00× |
| #3 | Elliot Anderson Nottingham Forest | 23 | 21-23 | €75.0M | €3.5M | 21.43× |
| #4 | Kobbie Mainoo Manchester United | 21 | 21-23 | €70.0M | €3.5M | 20.00× |
| #5 | Warren Zaïre-Emery Paris Saint-Germain | 20 | U21 | €80.0M | €5.0M | 16.00× |
| #6 | Pablo Barrios Atlético de Madrid | 23 | 21-23 | €55.0M | €3.5M | 15.71× |
| #7 | Eduardo Camavinga Real Madrid | 23 | 21-23 | €50.0M | €3.5M | 14.29× |
| #8 | Alex Scott AFC Bournemouth | 23 | 21-23 | €50.0M | €3.5M | 14.29× |
| #9 | Mateus Fernandes West Ham United | 22 | 21-23 | €50.0M | €3.5M | 14.29× |
| #10 | Petar Sučić Inter Milan | 22 | 21-23 | €40.0M | €3.5M | 11.43× |
| #11 | Andrey Santos Chelsea FC | 22 | 21-23 | €40.0M | €3.5M | 11.43× |
| #12 | Tom Bischof Bayern Munich | 21 | 21-23 | €40.0M | €3.5M | 11.43× |
| #13 | Valentín Barco RC Strasbourg Alsace | 22 | 21-23 | €40.0M | €3.5M | 11.43× |
| #14 | Lamine Camara AS Monaco | 22 | 21-23 | €40.0M | €3.5M | 11.43× |
| #15 | Ayyoub Bouaddi LOSC Lille | 18 | U21 | €50.0M | €5.0M | 10.00× |
| #16 | Yasin Ayari Brighton & Hove Albion | 22 | 21-23 | €35.0M | €3.5M | 10.00× |
| #17 | Noah Sadiki Sunderland AFC | 21 | 21-23 | €35.0M | €3.5M | 10.00× |
| #18 | Habib Diarra Sunderland AFC | 22 | 21-23 | €35.0M | €3.5M | 10.00× |
| #19 | Victor Froholdt FC Porto | 20 | U21 | €50.0M | €5.0M | 10.00× |
| #20 | Johan Manzambi SC Freiburg | 20 | U21 | €50.0M | €5.0M | 10.00× |
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)
FC Viktoria Plzen's Jiri Panos at 18 years old has the highest Return-to-Peak Potential at +48%. That means Rudy Matondo is projected to appreciate 48% as they reach their peak age in 8 years-representing significant upside before entering their prime.
In second is FC Barcelona's Guille Fernández, who is 18 years old, with a +48% RPP (8 years to peak). Third is Cooper Sanchez of Atlanta United Football Club, who is 18 years old with a +48% RPP (8 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 48% RPP means the player is expected to gain 48% 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 | Jiri Panos FC Viktoria Plzen | 18 | 8 | €1.8M | €3.5M | +48% |
| #2 | Guille Fernández FC Barcelona | 18 | 8 | €3.0M | €5.8M | +48% |
| #3 | Cooper Sanchez Atlanta United Football Club | 18 | 8 | €1.0M | €1.9M | +48% |
| #4 | Dominik Sarapata Wisla Plock | 18 | 8 | €3.0M | €5.8M | +48% |
| #5 | Noah Fernandez PSV Eindhoven | 18 | 8 | €4.0M | €7.7M | +48% |
| #6 | Sean Steur Ajax Amsterdam | 18 | 8 | €7.0M | €13.5M | +48% |
| #7 | Youssef Hamdaoui Royal Antwerp FC | 18 | 8 | €1.5M | €2.9M | +48% |
| #8 | Vasilije Markovic Austria Vienna | 18 | 8 | €3.0M | €5.8M | +48% |
| #9 | Alexis Vossah FC Toulouse | 18 | 8 | €15.0M | €28.8M | +48% |
| #10 | Hugo Sochurek AC Sparta Prague | 18 | 8 | €3.5M | €6.7M | +48% |
| #11 | Harald Woxen Lillestrøm Sportsklubb | 18 | 8 | €1.2M | €2.3M | +48% |
| #12 | Adrian Lahdo Como 1907 | 18 | 8 | €10.0M | €19.2M | +48% |
| #13 | Rudy Matondo AJ Auxerre | 18 | 8 | €20.0M | €38.4M | +48% |
| #14 | Carlos Macià Villarreal CF | 18 | 8 | €3.0M | €5.8M | +48% |
| #15 | Bara Sapoko Ndiaye Bayern Munich | 18 | 8 | €4.0M | €7.7M | +48% |
| #16 | Ayyoub Bouaddi LOSC Lille | 18 | 8 | €50.0M | €96.1M | +48% |
| #17 | Nathan De Cat RSC Anderlecht | 18 | 8 | €27.0M | €51.9M | +48% |
| #18 | Matias Siltanen Djurgårdens Idrottsförening | 19 | 7 | €3.5M | €6.3M | +44% |
| #19 | Harrison Armstrong Everton FC | 19 | 7 | €12.0M | €21.4M | +44% |
| #20 | Pharell Hensel VfL Wolfsburg | 19 | 7 | €3.0M | €5.4M | +44% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Maccabi Haifa's Lior Kassa has the highest Risk-Adjusted Upside at 33.7. That means Lior Kassa has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is Athletic Bilbao's Selton Sánchez with a 31.1 RAU (10% upside, 0% uncertainty). Third is Jorge Cestero of Real Madrid with a 31.1 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 33.7 means the upside is 33.7× 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 | Lior Kassa Maccabi Haifa | €1.4M | €1.2M-1.6M | +10% | 33.7 |
| #2 | Selton Sánchez Athletic Bilbao | €3.1M | €2.6M-3.5M | +10% | 31.1 |
| #3 | Jorge Cestero Real Madrid | €8.3M | €7.0M-9.5M | +10% | 31.1 |
| #4 | Khalis Merah Olympique Lyon | €16.5M | €14.1M-19.0M | +10% | 31.1 |
| #5 | Alexis Vossah FC Toulouse | €16.5M | €14.1M-19.0M | +10% | 31.1 |
| #6 | João Simões Sporting CP | €16.5M | €14.1M-19.0M | +10% | 31.1 |
| #7 | Christ Inao Oulaï Trabzonspor | €25.4M | €21.6M-29.1M | +10% | 31.1 |
| #8 | Tibe De Vlieger KAA Gent | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #9 | Guille Fernández FC Barcelona | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #10 | Dominik Pech BSC Young Boys | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #11 | Dominik Sarapata Wisla Plock | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #12 | Harrison Armstrong Everton FC | €13.2M | €11.3M-15.2M | +10% | 31.1 |
| #13 | Youssef Hamdaoui Royal Antwerp FC | €1.7M | €1.4M-1.9M | +10% | 31.1 |
| #14 | Vasilije Markovic Austria Vienna | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #15 | Baye Coulibaly Charlotte Football Club | €1.7M | €1.4M-1.9M | +10% | 31.1 |
| #16 | Pharell Hensel VfL Wolfsburg | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #17 | Malick Yalcouyé Brighton & Hove Albion | €13.2M | €11.3M-15.2M | +10% | 31.1 |
| #18 | Toumani Diakite FC Slovan Liberec | €3.3M | €2.8M-3.8M | +10% | 31.1 |
| #19 | Renato Nhaga Galatasaray | €6.6M | €5.6M-7.6M | +10% | 31.1 |
| #20 | Carlos Macià Villarreal CF | €3.3M | €2.8M-3.8M | +10% | 31.1 |
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: young 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)
SK Slavia Prague's David Moses in the 21-23 age bracket has the highest Age-Share Concentration at +-2.8%. That means Pedri captures 71.0% of total market value while representing only 73.8% of players in their age group-showing dominant elite status.
In second is FC Nantes's Dehmaine Tabibou with a +-2.8% ASC (71.0% value share vs 73.8% player share in 21-23 bracket). Third is Élan Ricardo of Deportes Tolima with a +-2.8% ASC (71.0% value vs 73.8% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-2.8% ASC means the player captures -2.8% 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 | David Moses SK Slavia Prague | 21-23 | 71.0% | 73.8% | -2.8% |
| #2 | Dehmaine Tabibou FC Nantes | 21-23 | 71.0% | 73.8% | -2.8% |
| #3 | Élan Ricardo Deportes Tolima | 21-23 | 71.0% | 73.8% | -2.8% |
| #4 | Samuel Gidi Football Club Cincinnati | 21-23 | 71.0% | 73.8% | -2.8% |
| #5 | Breno Bidon Sport Club Corinthians Paulista | 21-23 | 71.0% | 73.8% | -2.8% |
| #6 | Sotiris Kontouris Panathinaikos Athlitikos Omilos | 21-23 | 71.0% | 73.8% | -2.8% |
| #7 | Mahamadou Doumbia Royal Antwerp FC | 21-23 | 71.0% | 73.8% | -2.8% |
| #8 | Christian Ordóñez Parma Calcio 1913 | 21-23 | 71.0% | 73.8% | -2.8% |
| #9 | Mateo Flores FC Arouca | 21-23 | 71.0% | 73.8% | -2.8% |
| #10 | Mathias de Amorim FC Famalicão | 21-23 | 71.0% | 73.8% | -2.8% |
| #11 | Marcos Peña FC Famalicão | 21-23 | 71.0% | 73.8% | -2.8% |
| #12 | Arthur Avom FC Lorient | 21-23 | 71.0% | 73.8% | -2.8% |
| #13 | Amorim FC Alverca | 21-23 | 71.0% | 73.8% | -2.8% |
| #14 | JP Club de Regatas Vasco da Gama | 21-23 | 71.0% | 73.8% | -2.8% |
| #15 | Gustavo Neves Red Bull Bragantino | 21-23 | 71.0% | 73.8% | -2.8% |
| #16 | Gabriel Bontempo Santos Futebol Clube | 21-23 | 71.0% | 73.8% | -2.8% |
| #17 | Mauricio Amaro Defensor Sporting Club | 21-23 | 71.0% | 73.8% | -2.8% |
| #18 | Ronald Donkor Red Bull New York | 21-23 | 71.0% | 73.8% | -2.8% |
| #19 | Agustín Soria Al-Sadd SC | 21-23 | 71.0% | 73.8% | -2.8% |
| #20 | Franz-Ethan Meichtry FC Thun | 21-23 | 71.0% | 73.8% | -2.8% |
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: 0 immediate targets, 77 standard acquisitions, 221 watch-list prospects, 0 at peak.
BUY NOW - High Upside
No players in this category
WATCH LIST - High Upside
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 €70.0M. 0 undervalued, 12 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Thomas Jørgensen Viborg FF | €5.0M | €4.0M | -1.33 | Good Value |
İsak Vural Pisa Sporting Club | €5.0M | €4.0M | -1.33 | Good Value |
Jonathan Shore New York City Football Club | €1.0M | €4.0M | -1.00 | Good Value |
Cooper Sanchez Atlanta United Football Club | €1.0M | €4.0M | -1.00 | Good Value |
Renato Nhaga Galatasaray | €6.0M | €4.0M | -1.00 | Good Value |
Mamady Cissé Clube Atlético Mineiro | €1.0M | €4.0M | -1.00 | Good Value |
Fabio Miretti Juventus FC | €15.0M | €4.0M | -1.00 | Good Value |
Ilaix Moriba Celta de Vigo | €15.0M | €4.0M | -1.00 | Good Value |
Cesare Casadei Torino FC | €15.0M | €4.0M | -1.00 | Good Value |
Jovan Sljivic OFK Beograd | €1.0M | €4.0M | -1.00 | Good Value |
Mamadou Coulibaly AS Monaco | €15.0M | €4.0M | -1.00 | Good Value |
Carlos Alcaraz Everton FC | €15.0M | €4.0M | -1.00 | Good Value |
Cheveyo Tsawa FC Zürich | €6.0M | €4.0M | -1.00 | Good Value |
Oscar Højlund Eintracht Frankfurt | €15.0M | €4.0M | -1.00 | Good Value |
Lucas Bergvall Tottenham Hotspur | €35.0M | €4.0M | -1.00 | Good Value |
Miguel Román Celta de Vigo | €15.0M | €4.0M | -1.00 | Good Value |
Oliver Lukic Fußballclub Red Bull Salzburg | €1.0M | €4.0M | -1.00 | Good Value |
Sondre Granaas Molde Fotballklubb | €1.2M | €4.0M | -0.87 | Good Value |
Harald Woxen Lillestrøm Sportsklubb | €1.2M | €4.0M | -0.87 | Good Value |
Jonas Harder ACF Fiorentina | €1.2M | €4.0M | -0.87 | Good Value |
Market Overview: World Young Midfielders 2026-27
Our database tracked 298 World Young Midfielders in the 2026-27 season, representing 205 clubs with a combined market value of €3.1B. The average market value for World Young Midfielders was €10.4M, with the average age at 21 years old.
The most valuable young midfielder in the World was Pedri, worth €150.0M and played for FC Barcelona at 23 years old. The top 5 Young Midfielders averaged €103.0M in market value, including Elliot Anderson and João Neves.
Age distribution showed the youngest tracked young midfielder was Ayyoub Bouaddi (18 years, LOSC Lille, €50.0M), while the oldest was Pedri (23 years, FC Barcelona, €150.0M). Research shows Young Midfielders typically peak at age 27.
Historical analysis showed 205 Young Midfielders (69%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The World market for Young Midfielders remained highly competitive with significant transfer activity in the 2026-27 season.
How We Rank World Young Midfielders
Our Analytical Strength Index is calibrated specifically for young 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 CM
Historical Achievement Index (35%)
Peak career market value for World young 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 young 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.
CM 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 young 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 Young Midfielders in the 2026-27 season
Who are the most valuable Young Midfielders in the World in 2026-27?
The most valuable young midfielder in the World in 2026-27 is Pedri, who is worth €150.0M and plays for FC Barcelona. The second most valuable is Elliot Anderson (€75.0M, Nottingham Forest), followed by João Neves (€140.0M, Paris Saint-Germain). Our database tracks 298 World Young Midfielders with comprehensive market valuations updated for the 2026-27 season.
How are World Young Midfielders ranked?
World Young Midfielders are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young 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 Young Midfielders peak?
Midfielders typically peak at age 27. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 28, -10% at 29, -15% at 30, and steeper thereafter. Central midfielders require a blend of physicality, technical skill, and tactical awareness. The optimal playing time for peak performance is around 2,400-2,500 minutes per season.
How much does it cost to sign a top young midfielder from the World?
Transfer fees for World Young Midfielders vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young midfielder Pedri (market value: €150.0M), estimated transfer fees would range from €120.0M to €210.0M 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 Young Midfielders?
Our 1-year forecast model projects market value changes for World Young 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 young midfielder data come from?
Our World young 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 for the 2026-27 season to ensure accuracy for recruitment and investment decisions.