Talent Identification
2 articles

The Game
From Box Scores to Biometrics: How Talent Identification Moved From Statistics to Machine Learning
Sports talent identification has evolved from analyzing historical box scores and statistics to employing machine learning with multi-source data like biometrics and GPS. This shift enables a more nuanced assessment of athletic potential, distinguishing underlying skill from transient growth.
Yara Haddad·October 20, 2026

The Life
The New Playbook: How Data and Psychology Are Revolutionizing Sports Scouting
Sports scouting has evolved from intuition-based observation to a data-driven science, integrating analytics, machine learning, and psychological assessments. This holistic approach aims to overcome biases and identify an athlete's true long-term potential more objectively.
Yara Haddad·October 10, 2026
