Calculating new stats in Major League Baseball with Amazon SageMaker Amazon Web Services

The 2019 Major League Baseball (MLB) postseason is here after an exhilarating regular season in which fans saw many exciting new developments. MLB and Amazon Web Services (AWS) teamed up to develop and deliver three new, real-time machine learning (ML) stats to MLB games: Stolen Base Success Probability, Shift Impact, and Pitcher Similarity Match-up Analysis. These features are giving fans a deeper understanding of America's pastime through Statcast AI, MLB's state-of-the-art technology for collecting massive amounts of baseball data and delivering more insights, perspectives, and context to fans in every way they're consuming baseball games. This post looks at the role machine learning plays in providing fans with deeper insights into the game. We also provide code snippets that show the training and deployment process behind these insights on Amazon SageMaker.