A holistic approach to performance prediction in collegiate athletics: player, team, and conference perspectives

A holistic approach to performance prediction in collegiate athletics: player, team, and conference perspectives

Abstract Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in tandem. Using Machine Learning (ML), this paper aims to holistically evaluate player-, team-, and conference (season)-lev...

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Bibliographic Details
Main Authors: Christopher B. Taber, Srishti Sharma, Mehul S. Raval, Samah Senbel, Allison Keefe, Jui Shah, Emma Patterson, Julie Nolan, N. Sertac Artan, Tolga Kaya
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-51658-8

Internet

https://doi.org/10.1038/s41598-024-51658-8

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