The sports analytics research of the Statistical Learning Laboratory specializes in the application of statistical and machine learning techniques to sports data. They analyze data related to players, teams, games, and competitions to gain insights into performance, identify strengths and weaknesses, and inform decision-making in player evaluation, team strategy, and game outcomes.

Their work involves collecting and processing large amounts of data from various sources, such as sensors, cameras, and databases, and developing mathematical models and algorithms to analyze and interpret the data. They also are able and willing to collaborate with coaches, players, and sports organizations to understand their needs and goals and tailor their analyses accordingly.

The insights provided by the SaLLy's sports analytics team can help teams and organizations make data-driven decisions, such as selecting players for a team, optimizing training and performance, developing effective strategies for games and competitions, and improving fan engagement.