Projects

Title	Team	Description	Status
usportspy	Shamar Phillips, Pierre Aucoin, Rithika Silva, Ryan Du, and David Awosoga	A Python package developed to extract data from U SPORTS the governing body of university sport in Canada.	Active
usportsR	Shamar Phillips, Matthew Chow, Pierre Aucoin, Rithika Silva, and David Awosoga	An R package developed to extract data from U SPORTS the governing body of university sport in Canada.	Active
rvolleydata	David Awosoga, Matthew Chow, and Ryan Du	An R package with boxscore, play-by-play, and auxiliary data from Major League Volleyball (MLV), League One Volleyball Pro (LOVB Pro), and Athletes Unlimited Pro Volleyball (AU).	Active
pyvolleydata	Ryan Du and David Awosoga	A Python package with boxscore, play-by-play, and auxiliary data from Major League Volleyball (MLV), League One Volleyball Pro (LOVB Pro), and Athletes Unlimited Pro Volleyball (AU).	Active
datavolley	Ben Raymond, Adrien Ickowicz, Tyler Widdison, David Awosoga, Chrisophe Elek, Kornel Kilinski, openvolley.org	An R package for reading volleyball scouting files collected from commercial software programs such as DataVolley.	Active
ceblpy	Ryan Du and David Awosoga	A Python package with boxscore, play-by-play, and auxiliary data from the Canadian Elite Basketball League (CEBL).	Active
ceblR	David Awosoga, Matthew Chow, and Ryan Du	An R package with boxscore, play-by-play, and auxiliary data from the Canadian Elite Basketball League (CEBL).	Active
Using Time Series Analysis Models to Explore the Present and Potential Impacts of Climate Change on Canada’s Economy	Minh Chau Nguyen, David Awosoga, and Alireza Ghaffartehrani	Honorable mention at the Statistical Society of Canada (SSC) 2023 Case Studies in Data Analysis Compeition. Utilized time series analysis to explore the present and potential impacts of climate change on Canada’s economy.	Completed
This Isn’t a Stretch: Quantifying Ball Acquisition Proficiency to Evaluate Fielders on Assisted Put-Outs	David Awosoga, Jaden Majumdar, Daniel Hocevar, Aaron White	Graduate division winning submission at the 2023 SportsMEDIA Technology (SMT) Data Challenge. Created a metric using tracking data to quantify a baseball fielder’s catching ability on assisted put-out attempts.	Completed
Practical Software Development (CPSC 2720) Final Project	David Awosoga, Cadence Meszaros, Noel Roemmele, and Ugonna Osuji	Three text-based card games in C++ with a dynamic user interface and single- and multi-player options. Utilizes design patterns, version control, unit tests, and code coverage checks for quality assurance and documentation.	Completed
Clustering SHL teams using Offensive Zone Metrics	David Awosoga, Justin Cui, Aujin Li, Jaden Majumdar, and Junhao Wang	Student Finalist submission for the 2023 Linköping Hockey Analytics Conference (LINHAC 2024) student competition. Used a probabilistic framework to compare defensive pressure techniques, delivered in an oral presentation.	Completed
Clustering SHL teams using Offensive Zone Metrics	Ali Raza Zaidi, Fauzan Lodhi, Xikai Wu, Ryan Cao, and David Awosoga	Student Finalist submission for the 2024 Linköping Hockey Analytics Conference (LINHAC 2024) student competition. Analyzed possessions from offensive event-level to categorize teams based on their offensive-zone play style.	Completed