Abstract:
The study embarks on an innovative journey to integrate advanced data analytics into the
world of fantasy football. Utilizing a comprehensive dataset sourced from Kaggle, which
encompasses an extensive array of player statistics across 96,169 rows and 37 columns,
this study delves into the dynamic and often unpredictable realm of fantasy football with
a fresh, data-driven perspective. At the core of this research are various sophisticated
machine learning models, including Logistic Regression, Random Forest, Gradient
Boosting Machines, and Neural Networks. Each of these models was meticulously
selected and applied to uncover the underlying patterns and relationships within the
complex dataset. The Logistic Regression model served as a foundational approach,
providing a clear, initial understanding of the data. In contrast, the more complex models
like Random Forest and Gradient Boosting Machines offered deeper insights, capturing
the nuanced interactions between the various variables. The study's results were
impressive, demonstrating high accuracy and F1-scores across the models. However, it
also highlighted areas for improvement, particularly in the models' ability to differentiate
between performance categories, as evidenced by the ROC AUC scores. This insight sets
the stage for future research endeavors to enhance predictive accuracy further. Ethical
considerations were paramount in this study, with a strong emphasis on data privacy,
fairness, and responsible use of predictive analytics. The project also recognized its
environmental footprint, underscoring the importance of sustainable practices in digital
and computational work. The broader societal implications of this study are significant,
extending beyond fantasy football. It serves as a model for the application of data science
in sports analytics, demonstrating how quantitative analysis can enrich the understanding
and enjoyment of sports. Furthermore, the study contributes to the growing field of sports
analytics, providing valuable insights for fantasy sports enthusiasts and professionals
alike.
