Carnegie Mellon Sports Analytics

Welcome to the home page of Carnegie Mellon Sports Analytics. A strong believer in open source reproducible research and broadening outreach, access, and opportunities in sports analytics, CMSAC is a collection of initiatives at Carnegie Mellon with leadership in the Department of Statistics & Data Science and partnerships in the Pittsburgh area, amateur and professional sports, media, and related industries.

Click on each section to learn more about our projects and initiatives. If you would like to partner or get involved, feel free to email

Statistics in Sports Research Group

One of the primary goals of Carnegie Mellon Sports Analytics is to push forward the sports analytics discipline through the dissemination of cutting edge research that also contributes to both applications and statistical methodology. Below are some of our most recent papers:

Open Source Sports Podcast

Ron Yurko and Kostas Pelechrinis host the Open Source Sports podcast as a public reading group for discussing the latest resaerch in sports analytics. Each episode focuses on a single paper feturing authors as guests, with discussions about the statistical methdology, relevance, and future directions of the research.

You can find it on Apple Podcasts , Spotify, Google Podcasts, and Anchor .

Carnegie Mellon Sports Analytics Conference

The Department of Statistics & Data Science and the Carnegie Mellon Sports Analytics Club are proud to host an annual (mid-fall) conference focusing on high-quality, cutting edge sports analytics research with a strong emphasis on community and supporting the next generation.

Save the date for this year's conference on Nov 10-11 2023!

Carnegie Mellon Sports Analytics Camp

The Department of Statistics & Data Science offers an eight-week Summer Undergraduate Research Experience with the theme Data Science in Sports Analytics. While the application area is sports analytics, the program is focused on developing skills in statistical and data science methodology and being able to apply these skills to a wide range of problems and contexts. Professional skills development is also emphasized.

Students will learn from faculty and experts in the field, culminating in a group project with an external partner in sports analytics. There is a strong focus on diversity, equity, and inclusion and building pipelines into STEM fields and sports analytics. Students are financially supported through a $4000 stipend and housing.

Learn more and apply here!

The application deadline: Sunday, Feb 26, 2023.

Carnegie Mellon Sports Analytics Convos

In Summer 2021, as part of our CMSACamp/Summer Undergraduate Research Experience, the Department of Statistics & Data Science offered CMSAConvos!

Free and open to the public, this summer webinar series was a chance to hear from a range of experts working in the field of sports analytics. More information about our speakers can be found below the schedule.

Like all CMSAC events, participants and speakers are expected to abide by the CMSAC Code of Conduct. More information can be found underneath the CMSAConference tab, but any webinar participants who behave unprofessionally may be removed from the webinar at the discretion of the CMSAC hosts and may be barred from attending future CMSAC events. Let's keep it friendly and respectful.

Questions? Reach out to

Friday, June 4, 2021 3-3:45pm EDT Michael Lopez, Director of Football Data and Analytics, National Football League Webinar Access and Registration Link Submit Q&A in Advance
Friday, June 11, 2021 3-3:45pm EDT André Snellings, Senior Writer, On-Air Personality at ESPN Webinar Access and Registration Link Submit Q&A in Advance
Friday, June 18, 2021 3-3:45pm EDT Nick Wan, Manager of Data Science, Kentucky Fried Chicken; former Data Scientist, Cincinatti Reds Webinar Access and Registration Link Submit Q&A in Advance
Friday, June 25, 2021 3-3:45pm EDT Elliot Schwartz, Data Analytics, U.S. Olympic and Paralympic Committee Webinar Access and Registration Link Submit Q&A in Advance
Friday, July 9th, 2021 3-3:45pm EDT Asmae Toumi, Editor-in-Chief,; Director of Analytics, PursueCare Webinar Access and Registration Link Submit Q&A in Advance
Friday, July 16th, 2021 3-3:45pm EDT Ben Jedlovec, Senior Director, Baseball Data Quality, MLB Webinar Access and Registration Link Submit Q&A in Advance
Friday, July 23rd, 2021 3-3:45pm EDT Tyler Tumminia, Interim Commissioner, National Women's Hockey League Webinar Access and Registration Link Submit Q&A in Advance
Friday, July 30th, 2021 3-3:45pm EDT CMSACamp 2021 Showcase! Webinar Access and Registration Link Submit Q&A in Advance

Michael Lopez is the Director of Football Data and Analytics at the National Football League and a Lecturer of Statistics and Research Associate at Skidmore College. At the National Football League, his work centers on how to use data to enhance and better understand the game of football. Academically, his research is split between causal inference – with a specific focus on causal inference methods for multiple exposures or multiple exposure doses – and the application of statistics to sports. He is an Associate Editor at the Journal of Quantitative Analysis in Sports, and has written for FiveThirtyEight, Deadspin, Sports Illustrated, and Hockey News. In 2019, he was named the American Statistical Association’s Statistics in Sports Significant Contributor Award.

Dr. André Snellings is a Senior Writer and on-air personality at ESPN, writing primarily about fantasy basketball, the NBA, sports gambling and NBA analytics. He is a two-time FSWA Basketball Writer of the Year, and has appeared as a basketball analyst on shows like Daily Wager and The Jump. Snellings previously had a 16-year career in neural engineering, during which he was also a senior writer and analyst for Rotowire and a contributor to several sports outlets such as Nylon Calculus, TYTSports, Fansided and Summit Hoops. He uses his background as a scientist and basketball fanatic to understand and interpret the game in unusual ways, resulting in unique insights and analysis. Snellings is a former research fellow at Duke University with an emphasis on neuromodulation and neural prosthetics, earned his Ph.D in biomedical engineering at the University of Michigan and his BS in electrical engineering from Georgia Tech. He is published in the Journal of Neurosurgery, Neuroscience Letters and the British Journal of Neurology.

Nick Wan is the Manager of Data Science at Kentucky Fried Chicken and previously worked at the Cincinnati Reds as a Data Scientist. He streams live data science on Twitch where he works on projects using data from NFL, MLB, Pro Bullriding Association, Rocket League, Overwatch League, and NWHL. Nick Wan earned his PhD in psychology from Utah State University.

Elliot Schwartz is a Data Analytics Consultant in the Sport Performance division of the U.S. Olympic and Paralympic Committee (USOPC). In his role, Elliot partners with US National Governing Bodies for Olympic and Paralympic sports to use data and analytics to benefit athlete and team performance, health, and wellness. Prior to working with the USOPC, Elliot combined his mathematical modeling background with his role as a U.S. Figure Skating official to pioneer the use of performance analytics for athlete selection and competition strategy with U.S. Figure Skating. Elliot has a PhD in Materials Engineering and Bachelor's degrees in Applied Math and Materials Science and Engineering from MIT. Before focusing on sports analytics, Elliot founded and led Procter & Gamble/Gillette’s Engineering Modeling and Simulation department, using deterministic and stochastic modeling approaches to guide product, process, and equipment design and manufacturing of blades and razor products.

Asmae Toumi is the editor-in-chief of Hockey-Graphs, hockey's premier analytics blog, where she manages the day-to-day operations and oversees the editorial and creative process. In her day job, she is the Director of Analytics and Research at PursueCare, a telehealth company providing substance use disorder treatment. She is passionate about improving data literacy and inclusiveness in data science.

Ben Jedlovec is the Senior Director, Baseball Data Quality for Major League Baseball, where he leads a team of analysts supporting the Statcast system. Prior to his appointment with MLB in 2018, Jedlovec served as president of Baseball Info Solutions where he managed the company’s day-to-day operations, engineering, business development, and analytics efforts. While at Baseball Info Solutions, he co-authored volumes III and IV of “The Fielding Bible” with John Dewan. The book reveals a revolutionary approach to fielding analysis. Jedlovec has a degree in sport management and statistics from Rice University.

Tyler Tumminia was named the Interim Commissioner of the NWHL in October 2020 bringing over 20 years of professional sports leadership to the role. In her tenure with the league, she led the development and execution of the league’s season 6 held in Lake Placid, New York. She also successfully negotiated the first-ever nationally broadcasted game of women’s professional ice hockey in the United States. As Interim Commissioner, Tumminia is responsible for securing the single highest sponsorship deal in the league’s history and successfully increasing the league’s sponsorship revenue. Known for her branding and creativity, Tumminia is a results-driven marketer. Under her guise, the league’s stature has seen substantial growth across all facets of the business including record-setting performance on Twitch, merchandise sales, and a dominant social presence. A transformative sports executive, Tumminia previously served as the Senior Vice President of the Goldklang Group. In this role, Tumminia was responsible for the marketing and broad-scale sponsorship, operations, and communications. She developed the Group’s award-winning marketing philosophy, ‘Be Your Own Fan.’ Tumminia is responsible for the creation of the Professional Baseball Scouts Hall of Fame which has been hailed as a game-changer in the perception of scouts throughout the local organization. Prior to the Goldklang Group, Tumminia built a strong career in public relations and technology working alongside high-profile clients. Tumminia was a recipient of the Roland Hemond, MASA, and Marcom awards for excellence in her field, and in 2011 was named Executive of the Year by NYU’s sports management program. She was also named 2013 Sports Business Executive of the Year from Minnesota State University. In 2014, she was named Top 25 Most Influential Women In Sports, by Bleacher Report and received the Game Changer award by Sports Business Journal as a Female Owner in Baseball. Tumminia is currently a minority owner of the Pittsfield Suns of the FCB, and also completed MLB Scout School in Arizona in 2011. Tumminia holds an M.B.A. from Mount St Mary College.

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 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.

Spring 2020 36-493 : Professor Rebecca Nugent

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