2019 March Madness Predictions: My Results

This is a sequel to my “Similar Games” article last year. Welcome to the 2019 update. ADDITIONS Readers of my first article on my March Madness Comparables Model should know the methodology in predicting all 67 games of the March Madness tournament. If not, please visit bit.ly/Comparables2018 for an introduction to my work. In its

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

Lillard's Low or Pelicans' D?

Written by: Eric Li This year marked one of the tightest playoff races in the West in all of NBA history. The difference in record between the 3rd seeded Portland Trailblazers and the 8th seeded Minnesota Timberwolves was two games, and the Timberwolves only secured their playoff spot after a thrilling

2018 NBA Trade Deadline Recap

Written by: Scott Steinberg Expectations were sky-high for the NBA trade deadline on Thursday. With big names such as DeAndre Jordan, Tyreke Evans, and Kemba Walker popping up in rumors, the 2018 trade deadline looked to be one for the ages. Ultimately, none of those players were moved, but the deadline