Authors: Justin Ehrlich, Christopher Boudreaux, James Boudreau, and Shane Sanders Abstract Contests are games in which the players compete for a prize and exert effort to increase their probability of winning. For sport contests, analysts often use the Pythagorean expected wins model to estimate teams’ expected wins (quality). We ask if there are alternative contestContinue reading “Estimating Major League Baseball Team Quality through Simulation: An Analysis of an Alternative Pythagorean Expected Wins Model”
Tag Archives: Baseball
A Critique of fWAR: Inferential and Sensitivity Studies of the Baseball Wins Above Replacement Metric
Section 1: Introduction Wins Above Replacement (WAR) is an estimation of the number of wins a baseball player brings his team, more so than a designated replacement level player. Any given WAR equation is composed of dozens of different calculations that incorporate dozens of different existing baseball metrics. WAR gained popularity on fangraphs.com as aContinue reading “A Critique of fWAR: Inferential and Sensitivity Studies of the Baseball Wins Above Replacement Metric”
What is BAbip in Baseball?
VIDEO TRANSCRIPTION: Hello and welcome back to First Line Sports Analytics on YouTube! In this video, we’ll be talking about BAbip in baseball. We’ll look at what it is, what it can do, and the assumptions made by the metric. So, what is it? BAbip stands for batting average on balls in play. It isContinue reading “What is BAbip in Baseball?”