StatCast Dashboard: Exploration of Spatiotemporal Baseball Data

Marcos Lage, Jorge Piazentin Ono, Daniel Cervone, Justin Chiang, Carlos Dietrich, Claudio T. Silva

Research output: Contribution to journalArticlepeer-review


Major League Baseball (MLB) has a long history of providing detailed, high-quality data, leading to a tremendous surge in sports analytics research in recent years. In 2015, released the StatCast spatiotemporal data-tracking system, which has been used in approximately 2,500 games since its inception to capture player and ball locations as well as semantically meaningful game events. This article presents a visualization and analytics infrastructure to help query and facilitate the analysis of this new tracking data. The goal is to go beyond descriptive statistics of individual plays, allowing analysts to study diverse collections of games and game events. The proposed system enables the exploration of the data using a simple querying interface and a set of flexible interactive visualization tools.

Original languageEnglish (US)
Article number7579419
Pages (from-to)28-37
Number of pages10
JournalIEEE Computer Graphics and Applications
Issue number5
StatePublished - Sep 1 2016


  • MLB
  • StatCast
  • computer graphics
  • data-tracking system
  • event data
  • information visualization
  • sports analytics

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design


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