The Problem
The Old Way
SUBJECTIVE SCOUTING AND INTUITION-BASED DECISIONS
HARD TO PREDICT FUTURE SUCCESS OF YOUNG TALENTS
GENERIC EVALUATION CRITERIA FOR ALL CLUBS
MISSED OPPORTUNITIES DUE TO POOR CLUB-PLAYER FIT
TALENT IDENTIFICATION BASED ON PERCEPTION
The New Way
DATA-DRIVEN EVALUATION WITH HISTORICAL PLAYER PROFILES
PREDICTIVE MODELING FOR LONG-TERM POTENTIAL
CUSTOM METRICS TAILORED TO CLUB PHILOSOPHY
OPTIMIZED TALENT-CLUB MATCHING FOR DEVELOPMENT
MEASURABLE SIMILARITY AND PREDICTIVE GROWTH SCORES
Technical Description
Data Representation
Each youth player → normalized feature vector xi∈Rnx_i \in \mathbb{R}^nxi∈Rn with attributes like pace, passing, goals, etc.
Historical Clustering
Elite youth player profiles grouped using K-Means or DBSCAN into reference clusters.
Similarity + Growth Projection Calculation
FDistance d(xi,xElite)d(x_i, x_\text{Elite})d(xi,xElite) + Market Growth Index MGIiMGI_iMGIi → combined into similarity score Si∈[0,100]S_i \in [0,100]Si∈[0,100].
Ranking & Updates
Scores refreshed periodically as new match data arrives to track evolving potential.
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Details:
This image is a Radar Chart comparing Pedro Gómez’s performance profile to the Elite Average for young players at the same stage.
What it Shows:
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Axes/Features: The chart evaluates six key metrics — Speed, Assists, Goals per Match, Dribbles, Tackles, and Passing Accuracy.
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Blue Area (Pedro Gómez): Represents the player’s current normalized performance in each metric.
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Red Area (Elite Average): Represents the average profile of elite players at the same age.
Strengths:
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Pedro Gómez matches or slightly exceeds elite averages in Speed and Passing Accuracy.
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Areas for Improvement:
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He underperforms slightly in Assists, Dribbles, and Tackles compared to the elite benchmark.
Overall Fit:
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His profile is well-aligned with elite potential, showing strong offensive contribution with minor gaps in defensive actions and creative play.
By embedding this into our PGTO framework, we’re not just detecting talent—we’re simulating the optimal career path and club-player alignment to maximize ROI, reduce scouting error, and future-proof recruitment.
Other Objetives
Optimize Scouting
Highlight top prospects objectively
Precise
Efficient
Enable Strategic Investment
Focus resources on high-return talents
Targeted
Profitable
Prioritize Talent Ranking
Prioritize talent by generating a ranking or potential index based on historical comparisons with successful players.
Predictive
Reliable
Benchmarking & Development
Allow clubs to personalize evaluation criteria to align with their philosophies and minimize errors in talent selection.
Continuous
Evaluative
Custom Evaluation
Provide a benchmarking framework to continuously assess and improve youth player development.
Flexible
Adaptive