CMU in Sports: Ashley Brio Knows How to Make it to the NBA Without Being 6’7”

Written by: Daniel Liang The CMU in Sports Series details the impacts of past and present CMU students, faculty, post-docs, and staff who have made an impact in the world of sports analytics.  The second profile in this series features an interview with Ashley Brio, a former CMU graduate student in Decision Science.              Millions of

NBA Visualizer Analysis Simulation

Written By: Aashai Avadhani Missed the big basketball game last night? Or have you ever thought about if NBA teams use the court efficiently enough? These are the questions I aimed to answer from my NBA Visualizer Analysis Simulation. For the final term project for my introductory computer science course “Fundamentals

Introduction to next-gen-scrapy

Written By: Sarah Mallepalle Introducing next-gen-scrapy The NFL's Next Gen Stats provides player tracking charts throughout the season, visualizing passing performances and real-time player locations. However, outside of these images, weekly-updated pass and player tracking data is not publicly available in the form of a dataset. In fact, as resident NFL-stats-master Ron

Rasmus Dahlin's Statistical Outlook

Written by: Sasank Vishnubhatla With the NHL season right around the corner, young rookies are looking to crack a roster spot on the major club level. Be it through hard work or through established skill, recent draft picks are working to get playing time in the NHL, rather than work in