Best U23 Young Players in the Jupiler Pro League
239 players aged 23 or under · ranked by Analytical Strength Index
Best Young Players in the Jupiler Pro League (Oct 2026)
237 players tracked across 20 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.
Joel Ordóñez
Club Brugge KV • 22 years old
€28.5M
€33.0M
+15.6%
Expected: €33.3M
83.7
Aleksandar Stanković
Club Brugge KV • 21 years old
€27.7M
€32.0M
+15.6%
Expected: €32.3M
81.9
Konstantinos Karetsas
KRC Genk • 18 years old
€30.3M
€35.0M
+15.6%
Expected: €36.9M
81.7
Nicolò Tresoldi
Club Brugge KV • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.4M
76.4
Nathan De Cat
RSC Anderlecht • 18 years old
€23.4M
€27.0M
+15.6%
Expected: €29.8M
74.9
Anan Khalaili
Union Saint-Gilloise • 22 years old
€19.9M
€23.0M
+15.6%
74.6
Carlos Forbs
Club Brugge KV • 22 years old
€17.3M
€20.0M
+15.6%
73.7
Joaquin Seys
Club Brugge KV • 21 years old
€17.3M
€20.0M
+15.6%
73.4
Nilson Angulo
RSC Anderlecht • 23 years old
€14.7M
€17.0M
+15.6%
71.2
Franjo Ivanović
Union Saint-Gilloise • 23 years old
€13.0M
€15.0M
+15.6%
69.7
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Sign up freeJoel Ordóñez
Club Brugge KV · 22 years old
83.7
ASI
Current Value
€33.0M
% Change
+15.6%
1yr Forecast Range
€30.0M - €36.7M
Aleksandar Stanković
Club Brugge KV · 21 years old
81.9
ASI
Current Value
€32.0M
% Change
+15.6%
1yr Forecast Range
€27.5M - €37.1M
Konstantinos Karetsas
KRC Genk · 18 years old
81.7
ASI
Current Value
€35.0M
% Change
+15.6%
1yr Forecast Range
€31.4M - €42.5M
Nicolò Tresoldi
Club Brugge KV · 22 years old
76.4
ASI
Current Value
€25.0M
% Change
+15.6%
1yr Forecast Range
€21.6M - €31.1M
Nathan De Cat
RSC Anderlecht · 18 years old
74.9
ASI
Current Value
€27.0M
% Change
+15.6%
1yr Forecast Range
€25.3M - €34.2M
Anan Khalaili
Union Saint-Gilloise · 22 years old
74.6
ASI
Current Value
€23.0M
% Change
+15.6%
1yr Forecast Range
Carlos Forbs
Club Brugge KV · 22 years old
73.7
ASI
Current Value
€20.0M
% Change
+15.6%
1yr Forecast Range
Joaquin Seys
Club Brugge KV · 21 years old
73.4
ASI
Current Value
€20.0M
% Change
+15.6%
1yr Forecast Range
Nilson Angulo
RSC Anderlecht · 23 years old
71.2
ASI
Current Value
€17.0M
% Change
+15.6%
1yr Forecast Range
Franjo Ivanović
Union Saint-Gilloise · 23 years old
69.7
ASI
Current Value
€15.0M
% Change
+15.6%
1yr Forecast Range
Sign up free to see the full ranking of 237 all players.
Sign up freeMarket Overview: Jupiler Pro League Young Players (updated October 2026)
Our database tracks 237 Jupiler Pro League Young Players as of October 2026, representing 20 clubs with a combined market value of €719.6M. The average market value for Jupiler Pro League Young Players is €3.0M, with the average age at 21 years old.
The most valuable young player in the Jupiler Pro League is Joel Ordóñez, worth €33.0M and playing for Club Brugge KV at 22 years old. The top 5 Young Players average €30.4M in market value, including Aleksandar Stanković and Konstantinos Karetsas.
Age distribution shows the youngest tracked young player is Konstantinos Karetsas (18 years, KRC Genk, €35.0M), while the oldest is Nilson Angulo (23 years, RSC Anderlecht, €17.0M). Research shows Young Players typically peak at age 26.
Our 1-year forecast model projects 190 Young Players (80%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Jupiler Pro League market for Young Players remains highly competitive with significant transfer activity expected as of October 2026.
Explore Market Size by Position in Jupiler Pro League
Interactive bubble chart showing predicted 2-year growth vs current age for all Jupiler Pro League Young Players. Identify undervalued assets and track market momentum across 20 clubs with €719.6M combined value.
Age Distribution: Jupiler Pro League Young Players
The Jupiler Pro League ALL market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (176 players, 74% of market). The 21-23 age group holds the most value at €578.4M, averaging €3.3M per player.
Top Young Players by Age Bracket
U21 Years (61 players)
21-23 Years (176 players)
Market Value Distribution
Elite Tier Concentration
The top 24 Young Players (10% of players) control €366.5M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 1% of the Jupiler Pro League ALL pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Jupiler Pro League Young Players
Among 20 Jupiler Pro League clubs, Club Brugge KV leads with 24 Young Players worth €183.2M (averaging €7.6M per player). The top 10 clubs account for 74% of tracked Young Players.
Club Brugge KV (24 Young Players)
RSC Anderlecht (18 Young Players)
KRC Genk (16 Young Players)
Union Saint-Gilloise (12 Young Players)
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)
KRC Genk's Konstantinos Karetsas at 18 years old has the highest Pre-Peak Value Efficiency at 43.75×. That means Konstantinos Karetsas is valued 43.75× higher than the median player in the U21 age bracket-representing exceptional value before reaching peak age.
In second is RSC Anderlecht's Nathan De Cat, who is 18 years old, with a 33.75× PPVE. Third is Joel Ordóñez of Club Brugge KV, who is 22 years old with a 22.00× 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 43.75× means the player is worth 4275% 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 | Konstantinos Karetsas KRC Genk | 18 | U21 | €35.0M | €800K | 43.75x |
| #2 | Nathan De Cat RSC Anderlecht | 18 | U21 | €27.0M | €800K | 33.75x |
| #3 | Joel Ordóñez Club Brugge KV | 22 | 21-23 | €33.0M | €1.5M | 22.00x |
| #4 | Aleksandar Stanković Club Brugge KV | 21 | 21-23 | €32.0M | €1.5M | 21.33x |
| #5 | Nicolò Tresoldi Club Brugge KV | 22 | 21-23 | €25.0M | €1.5M | 16.67x |
| #6 | Anan Khalaili Union Saint-Gilloise | 22 | 21-23 | €23.0M | €1.5M | 15.33x |
| #7 | Carlos Forbs Club Brugge KV | 22 | 21-23 | €20.0M | €1.5M | 13.33x |
| #8 | Joaquin Seys Club Brugge KV | 21 | 21-23 | €20.0M | €1.5M | 13.33x |
| #9 | Mihajlo Cvetkovic RSC Anderlecht | 19 | U21 | €10.0M | €800K | 12.50x |
| #10 | Nilson Angulo RSC Anderlecht | 23 | 21-23 | €17.0M | €1.5M | 11.33x |
| #11 | Kaye Furo Club Brugge KV | 19 | U21 | €8.0M | €800K | 10.00x |
| #12 | Franjo Ivanović Union Saint-Gilloise | 23 | 21-23 | €15.0M | €1.5M | 10.00x |
| #13 | Jan-Carlo Simić RSC Anderlecht | 21 | 21-23 | €12.0M | €1.5M | 8.00x |
| #14 | Matte Smets KRC Genk | 22 | 21-23 | €10.0M | €1.5M | 6.67x |
| #15 | Keisuke Goto Sint-Truidense VV | 21 | 21-23 | €10.0M | €1.5M | 6.67x |
| #16 | Yasin Özcan RSC Anderlecht | 20 | U21 | €5.0M | €800K | 6.25x |
| #17 | Mahamadou Doumbia Royal Antwerp FC | 22 | 21-23 | €9.0M | €1.5M | 6.00x |
| #18 | Romeo Vermant Club Brugge KV | 22 | 21-23 | €9.0M | €1.5M | 6.00x |
| #19 | Kamiel Van De Perre Union Saint-Gilloise | 22 | 21-23 | €8.0M | €1.5M | 5.33x |
| #20 | Matthieu Epolo Standard Liège | 21 | 21-23 | €8.0M | €1.5M | 5.33x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
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Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Jupiler Pro League Young Players.
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.
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Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
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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 Jupiler Pro League Young Players
Our Analytical Strength Index is calibrated specifically for young players, 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 ALL
Historical Achievement Index (35%)
Peak career market value for Jupiler Pro League young players, 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 Jupiler Pro League young players, 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%)
Jupiler Pro League 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.
ALL 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 players
• 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 Jupiler Pro League Young Players, updated October 2026
Who are the most valuable Young Players in the Jupiler Pro League right now?
The most valuable young player in the Jupiler Pro League today is Joel Ordóñez, who is worth €33.0M and plays for Club Brugge KV. The second most valuable is Aleksandar Stanković (€32.0M, Club Brugge KV), followed by Konstantinos Karetsas (€35.0M, KRC Genk). Our database tracks 237 Jupiler Pro League Young Players with comprehensive market valuations updated in October 2026.
How are Jupiler Pro League Young Players ranked?
Jupiler Pro League Young Players are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Players. 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 Jupiler Pro League 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 Players peak?
How much does it cost to sign a top young player from the Jupiler Pro League?
Transfer fees for Jupiler Pro League Young Players vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young player Joel Ordóñez (market value: €33.0M), estimated transfer fees would range from €26.4M to €46.2M 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 Jupiler Pro League transactions.
What is the value forecast for Jupiler Pro League Young Players?
Our 1-year forecast model projects market value changes for Jupiler Pro League Young Players 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 Jupiler Pro League young player data come from?
Our Jupiler Pro League young player 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 Jupiler Pro League sources and updated monthly (last update October 2026) to ensure accuracy for recruitment and investment decisions.