Carnegie Mellon Sports Analytics Club
The CMU Sports Analytics Club is an undergraduate student-run sports statistics club which uses in-depth quantitative data to develop our members’ understanding of sports analytics, strategies, and management. The club actively seeks new members year round to research and write articles on a variety of sports, develop leadership skills, and participate in analytics competitions. If you’re interested in sports analytics, learning more about it – and potentially making a career out of it – contact cmusportsanalytics@gmail.com. Learn more here.
Tartan Sports Analytics
In 36-493: Sports Analytics, we partnered with the Carnegie Mellon Athletics Department on a set of ground-breaking projects that integrate previously unlinked, disparate data sets to build interactive applications and statistical models that can be used by coaches and staff to better understand and predict student-athlete performance.
Feel free to explore the current projects below.
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Golf Performance (with CMU Men's and Women's Golf) Marc Edwards, Yedin Liu, Xinzhe Qi |
Poster   App | 5-min Presentation | Feedback |
Carnegie Mellon Softball Pitcher Efficiency (with CMU Softball) Gautam Goel, Scott Steinberg |
Poster   App | 5-min Presentation | Feedback |
Swimming Top Time Trajectories (with CMU Women's Swimming) Megan Christy, Julia Miraglia, Omkar Sakhawalkar, Shwetha Venkatesh |
Poster | 5-min Presentation | Feedback |
Using Text Analysis to Evaluate Softball Run Expectancy (with CMU Women's Softball) Sean Jin, Zachary Siegel, Anna Tan |
Poster   App | 5-min Presentation | Feedback |
Basketball Logistics and Performance Indicator Analysis (with CMU Men's Basketball) Violet Dong, Ryan Mahtab, Shurui Zeng |
Poster | 5-min Presentation | Feedback |