StatCast Dashboard: Exploration of Spatiotemporal Baseball Data.

Area of Science:

• Sports Analytics
• Data Visualization
• Baseball Research

Background:

• Major League Baseball (MLB) data has fueled sports analytics.
• The StatCast system (launched 2015) tracks player/ball locations and game events.
• Existing analyses often focus on individual plays.

Purpose of the Study:

• To present a novel infrastructure for querying and analyzing MLB StatCast data.
• To enable analysis beyond descriptive statistics of single events.
• To facilitate the study of diverse game collections and events.

Main Methods:

• Development of a visualization and analytics infrastructure.
• Implementation of a simple querying interface.
• Integration of flexible interactive visualization tools.

Main Results:

• The system allows querying of MLB StatCast spatiotemporal data.
• Interactive tools facilitate exploration of game events across multiple games.
• The infrastructure supports analysis beyond individual play descriptions.

Conclusions:

• The proposed system enhances the analytical capabilities for MLB StatCast data.
• It enables deeper insights into game dynamics and player performance.
• This facilitates advanced sports analytics research using comprehensive baseball data.