Decoding Quarterback Decisions

This chapter explores the development and application of the DeepQB model, focused on analyzing quarterback decision-making in football. The discussion includes the incorporation of diverse data sources, challenges in quantifying decisions under pressure, and the model's ability to predict receiver targets. Additionally, the chapter highlights the training methodologies employed using deep learning techniques and the architecture of the neural network designed for performance evaluation.