Game Theory and Predictive Modeling in Sports

This chapter explores the synergy between programming, game theory, and machine learning in the development of content for the gaming industry. It addresses the intricacies of predictive modeling in sports analytics, including factors like player projections, salaries, and the unpredictable nature of weather on game strategies, particularly in Daily Fantasy Sports. The discussion emphasizes the balance between automation and personal judgment in fantasy sports decision-making, highlighting the challenges of forming effective strategies.