Students at Stony Brook University were given a front-row seat to the transformative power of sports analytics during a recent workshop led by acclaimed analyst, Dr. Michael Chartier. Drawing on his experience working with professional teams and sports organizations, Chartier illustrated how data-driven insights are revolutionizing coaching strategies, player performance evaluations, and game-day decisions. Using relatable case studies, he emphasized the increasing demand for experts capable of decoding complex datasets to gain competitive advantages.

Chartier highlighted key tools and techniques shaping the sports analytics landscape, such as machine learning models for injury prediction, real-time tracking technologies, and interactive visualization platforms. Attendees were invited to explore practical applications through a hands-on session where they analyzed sample game data focusing on:

  • Player efficiency ratings
  • Shot location mapping
  • Momentum shifts analysis
Analytics Method Purpose Impact
Predictive Modeling Forecast player injuries Improved roster decisions
Heat Maps Visualize shot patterns Enhanced offensive strategies
Momentum Algorithms Track game flow changes Strategic timeout calls