StatCast Dashboard: Exploration of Spatiotemporal Baseball Data

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

doi:10.1109/MCG.2016.101

StatCast Dashboard: Exploration of Spatiotemporal Baseball Data

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

Urban Initiative

Research output: Contribution to journal › Article › peer-review

Abstract

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, MLB.com 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 language	English (US)
Article number	7579419
Pages (from-to)	28-37
Number of pages	10
Journal	IEEE Computer Graphics and Applications
Volume	36
Issue number	5
DOIs	https://doi.org/10.1109/MCG.2016.101
State	Published - Sep 1 2016

Keywords

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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10.1109/MCG.2016.101

Cite this

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title = "StatCast Dashboard: Exploration of Spatiotemporal Baseball Data",

abstract = "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, MLB.com 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.",

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author = "Marcos Lage and Ono, {Jorge Piazentin} and Daniel Cervone and Justin Chiang and Carlos Dietrich and Silva, {Claudio T.}",

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AU - Lage, Marcos

AU - Ono, Jorge Piazentin

AU - Cervone, Daniel

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AU - Dietrich, Carlos

AU - Silva, Claudio T.

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StatCast Dashboard: Exploration of Spatiotemporal Baseball Data

Abstract

Keywords

ASJC Scopus subject areas

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