![]() ![]() This section delves into the linear relationship between the number of swings-and-misses that a pitcher is able to induce and the expected batting average (xBA) that they possess. ![]() With a simple click of the mouse, interactive name labels can be toggled on each plot created with this tool for simplified empirical analyses instead of just staring at numbers all day. For this first rendition of my new Statcast Search Series, I take a statistical plunge into a few facets of Swing-Miss%, where I use the Statcast Search plot generator to highlight outlying qualified pitchers that may either be over-or-underperforming their Swing-Miss%. You can customize your search query to include any combination of variables available within the database.įor every active MLB player, there are datasets that exist for every game, every pitch, every outcome, and even every expected outcome. The creators of deserve an enormous amount of gratitude from every one of its users for providing endless data points for just about every variable that can possibly surface throughout a baseball game. In its entirety, the tool is the most comprehensive and advantageous source available for acquiring MLB data relevant to fit your custom analysis of a certain pool of players. This tool is published and maintained by Baseball Savant. Written by: Cory Ott ( us on Twitter! you hadn’t already discovered this vital resource, it is officially time to flip over the rock and evolve the methods by which you conduct player analyses by integrating the Statcast Search tool into your repertoire. ![]()
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