The intent of this book is to look at baseball data from a statistical modeling perspective. There is a fascination among baseball fans and the media to collect data on every imaginable event during a baseball game and to use this data to try to understand characteristics of the game. The problem is that patterns in baseball data are difficult to detect due to the inherent chance variation that is present. This book addresses a number of questions that are of interest to many baseball fans. These issues include how to rate players, predict the outcome of a game or the attainment of an achievement, making sense of situational data, and deciding the most valuable players in the World Series. This book will be directed to a general audience of baseball fans and does not assume that the reader has any prior background in probability or statistics, although a knowledge of high school abgebra will be helpful.