Belmont University Research Symposium (BURS)
Data-Driven Recruiting: Enhancing Talent Acquisition Strategies in College Soccer
Publication Date
4-2024
College
Sciences and Mathematics, College of
Department
Math and Computer Science, Department of
BURS Faculty Advisor
Dr. William Best
Presentation Type
Oral Presentation
Abstract
This project explores the implementation of data-driven recruiting strategies in college soccer. Leveraging data from Wyscout, a comprehensive player data platform, statistical analysis was performed to rank potential players in the transfer portal. Through statistical analysis and visual reporting, the project aims to enhance the team's talent acquisition strategies, providing coaches with valuable insights to identify promising players efficiently. The findings from this project contribute to the broader discourse on the practical applications of data science in collegiate athletics and highlight the potential for leveraging data-driven approaches to optimize talent recruitment in sports programs.
Recommended Citation
Aebi, Katherine E.; Ahrndt, Kayla Marylena; Barbarite, Ryan; Angelina Bekhit, Maria; Coutts, Amelia; CrimiVaroli, Olivia; Lennon, Anna; Nelson, Victoria Leigh Crawford; Saleik, Quinn; and Best, Will, "Data-Driven Recruiting: Enhancing Talent Acquisition Strategies in College Soccer" (2024). Belmont University Research Symposium (BURS). 386.
https://repository.belmont.edu/burs/386
