Carnegie Mellon Sports Analytics

Projects
Redefining the Penalty Kick: Does the Punishment Fit the Crime? Bria Cratty, University of Miami; Jack de la Parra, Bucknell University	Overview Slides	Zoom
Evaluating Parametric Methods for Modeling European Soccer Team Goals Thea Sukianto, Boise State University; Zhiwei Xiao, University of Michigan	Overview Slides	Zoom
Quantifying Passing: Using NBA Tracking Data to Create an Expected Assist Model Raj Dasani, UC Berkeley; James Hyman, Syracuse University; Alex LaGarde, Elon University; Caleb Pena, Cal State Fullerton	Overview Slides	Zoom
High Anticipation: Exploring Trends between Public Perception and Player Value Alana Willis, Winston-Salem State University; Fiona Dunn, Kenyon College; Sahana Rayan, Purdue University	Overview Slides	Zoom
A Puck Above the Rest: Exploring the Effects of New Data on 2020 NHL Draft Decisions Ashley Mullan, University of Scranton; Lucy Ward, University of Wyoming	Overview Slides	Zoom
Draft Decisions in Uncertain Times: Valuing and Simulating NHL Draft Picks Jill Reiner, Denison University; Meg Ellingwood, Kenyon College	Overview Slides	Zoom

Projects

Redefining the Penalty Kick: Does the Punishment Fit the Crime?
Bria Cratty, University of Miami; Jack de la Parra, Bucknell University

Overview Slides

Zoom

Evaluating Parametric Methods for Modeling European Soccer Team Goals
Thea Sukianto, Boise State University; Zhiwei Xiao, University of Michigan

Overview Slides

Zoom

Quantifying Passing: Using NBA Tracking Data to Create an Expected Assist Model
Raj Dasani, UC Berkeley; James Hyman, Syracuse University; Alex LaGarde, Elon University; Caleb Pena, Cal State Fullerton

Overview Slides

Zoom

High Anticipation: Exploring Trends between Public Perception and Player Value
Alana Willis, Winston-Salem State University; Fiona Dunn, Kenyon College; Sahana Rayan, Purdue University

Overview Slides

Zoom

A Puck Above the Rest: Exploring the Effects of New Data on 2020 NHL Draft Decisions
Ashley Mullan, University of Scranton; Lucy Ward, University of Wyoming

Overview Slides

Zoom

Draft Decisions in Uncertain Times: Valuing and Simulating NHL Draft Picks
Jill Reiner, Denison University; Meg Ellingwood, Kenyon College

Overview Slides

Zoom

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:

Riccardo Fogliato, Natalia Oliveira, Ronald Yurko (2020). "TRAP: A predictive Framework for Trail Running Assessment of Performance", In review.

Samuel Ventura (2020). "What will we unlearn next? The implications of Lopez". Journal of Quantitative Analysis in Sports, Forthcoming, online May 2020.

Rishav Dutta, Ronald Yurko, Samuel Ventura (2020). "Unsupervised Methods for Identifying Pass Coverage Among Defensive Backs with NFL Player Tracking Data", Journal of Quantitative Analysis in Sports, Forthcoming, online May 2020.

Sarah Mallepalle, Ronald Yurko, Konstantinos Pelechrinis, Samuel Ventura (2020)."Extracting NFL Tracking Data from Images to Evaluate Quarterbacks and Pass Defenses", Journal of Quantitative Analysis in Sports, Forthcoming, online April 2020.

Francesca Matano, Lee Richardson, Taylor Pospisil, Collin Eubanks, Jining Qin (2020). "Augmenting Adjusted Plus-Minus in Soccer with FIFA Ratings".

Ronald Yurko, Francesca Matano, Lee F. Richardson, Nicholas Granered, Taylor Pospisil, Konstantinos Pelechrinis, Samuel Ventura (2020). "Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data". Journal of Quantitative Analysis in Sports.

Konstantinos Pelechrinis and Ronald Yurko (2019). "Reducing Concussions in the NFL: A Data-Driven Approach". CHANCE, Vol 32, No. 4, p 46-56.

Ronald Yurko, Samuel Ventura, Maksim Horowitz (2019). "nflWAR: A Reproducible Method for Offensive Player Evaluation in Football". Journal of Quantitative Analysis in Sports, Vol 15, Issue 3.

A.C. Thomas, Samuel Ventura, Shane Jensen, Stephen Ma (2013). "Competing Process Hazard Function Models for Player Ratings in Ice Hockey". The Annals of Applied Statistics, Vol 7, No. 3.

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 .

First episode: openWAR with Gregory J. Matthews (Loyola)

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.

We look forward to having you join us!

2020: Stay Tuned!

2019

2018

2017

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.

Spring 2020 36-493 : Professor Rebecca Nugent

Projects

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