Data-Driven Softball Success: Leveraging Python and Database Management to Develop Predictive and Analytical Tools for Coaches; Analyzing Financial Differences in College Sports Through Machine Learning
Year: 2025
Type: dissertation
Abstract: Due to the lack of resources and research, college softball coaches face challenges in areas like player recruitment and game strategy. At Triple Crown Sports, I used Python and R to create various tools meant to drive on-field performance and allow coaches to see the game in a different light. When coaches saw the different dashboards made from the numerous statistics and metrics, the data and findings became much more digestible, making it easier to make changes on the field. Schools like the University of Tennessee and the University of Oklahoma, which play at the highest level, both finished in the top 5 rankings for the 2024 season with the help of our consulting tools. My future work will shift to writing scripts that will make the scraping of public data much easier.
Source: Libra
DOI: 10.18130/2knv-db97
Author: Joseph Leonard
Institution: University of Virginia
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6944091763
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