Keywords
NFL, Analytics, XGBoost, Prediction, Fourth Down
Abstract
XGBoost, renowned for its efficacy in various statistical domains, offers enhanced precision and efficiency. Its versatility extends to both regression and categorization tasks, rendering it a valuable asset in predictive modeling. In this dissertation, I aim to harness the power of XGBoost to forecast and rank performances within the National Football League (NFL). Specifically, my research focuses on predicting the next play in NFL games based on pre-snap data, optimizing the draft ranking process by integrating data from the NFL combine, and collegiate statistics, creating a player rating system that can be compared across all positions, and evaluating strategic decisions for NFL teams when crossing the 50-yard line, including the feasibility of attempting a first down conversion versus opting for a field goal attempt.
Completion Date
2024
Semester
Spring
Committee Chair
Wang, Chung-Ching (Morgan)
Degree
Doctor of Philosophy (Ph.D.)
College
College of Sciences
Department
Statistics and Data Science
Degree Program
Big Data Analytics
Format
application/pdf
Identifier
DP0028340
URL
https://purls.library.ucf.edu/go/DP0028340
Language
English
Rights
In copyright
Release Date
May 2025
Length of Campus-only Access
1 year
Access Status
Doctoral Dissertation (Campus-only Access)
Campus Location
Orlando (Main) Campus
STARS Citation
Schoborg, Christopher P., "Enhancing NFL Game Insights: Leveraging XGBoost For Advanced Football Data Analytics To Quantify Multifaceted Aspects Of Gameplay" (2024). Graduate Thesis and Dissertation 2023-2024. 171.
https://stars.library.ucf.edu/etd2023/171
Accessibility Status
Meets minimum standards for ETDs/HUTs
Restricted to the UCF community until May 2025; it will then be open access.
Accessibility Statement
This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.