Contributed Papers
Predictive Analytics and Advanced Metrics in Sports
Eric GerberChair
Section on Statistics in Sports
About this session
This session explores cutting-edge approaches to predictive analytics and advanced statistical metrics in sports. Presentations will showcase innovative models, including probabilistic frameworks for soccer analytics, new evaluation metrics for NBA players, and dynamic strategies for in-game decision-making. Sports featured include tennis, baseball, basketball, and curling. Attendees will gain insights into leveraging data to enhance strategic decisions and performance evaluations across various sports contexts.
7 Presentations
8:35 AM - 8:50 AM
Co-authors: Austin Yang
8:50 AM - 9:05 AM
Co-authors: Ryan Elmore (University of Denver), Ryan Elmore (University of Denver), Benjamin Williams (University of Denver), Erin Schliep (North Carolina State University), Bailey Fosdick (GTI Energy & Colorado School of Public Health)
9:05 AM - 9:20 AM
Co-authors: Nathan Sandholtz (Brigham Young University), Brylee Wilcox, Sam Lee, Brylee Wilcox, Garritt Page (Brigham Young University)
9:20 AM - 9:35 AM
Co-authors: Andrey Skripnikov (New College of Florida), Ahmet Cemek (New College of Florida), Andrey Skripnikov (New College of Florida), David Gillman (New College of Florida)
9:35 AM - 9:50 AM
Co-authors: Keith Willoughby (Edwards School of Business), Keith Willoughby (Edwards School of Business), Kent Kostuk (Engcomp)
9:50 AM - 10:05 AM
Co-authors: Chinmay Divekar (Indian Institute of Management Bangalore), Rishideep Roy (University of Essex), Soudeep Deb (Indian Institute of Management Bangalore)
10:05 AM - 10:20 AM
Co-authors: Kin Hang Wong (Wayne State University), Kin Hang Wong (Wayne State University), Kazuhiko Shinki (Wayne State University)