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SnapShot: Visualization to Propel Ice Hockey Analytics.

H Pileggi1, C D Stolper, J M Boyle

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This study introduces SnapShot, a visualization system designed to enhance sports analytics workflows. It integrates data exploration, hypothesis sharing, and findings communication for ice hockey analysts.

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Area of Science:

  • Sports Analytics
  • Information Visualization
  • Human-Computer Interaction

Background:

  • Sports analysts currently use statistical software for data analysis, often detached from the live game environment.
  • The growing value of analytics in professional sports necessitates improved tools for analysts.
  • Existing analytical workflows can be enhanced by integrating information visualization techniques.

Purpose of the Study:

  • To identify key stages in the sports analytics workflow where visualization can provide benefits.
  • To design and develop a visualization system tailored for professional sports analysts.
  • To introduce novel visualization techniques for specific sports data, such as shot length in ice hockey.

Main Methods:

  • Collaborative design process with professional ice hockey analysts.
  • Development of SnapShot, an integrated visualization system.
  • Implementation of various information visualization techniques, including a novel radial heat map for shot length analysis.

Main Results:

  • SnapShot successfully integrates visualization into the hockey intelligence gathering process.
  • The radial heat map technique effectively visualizes shot length data.
  • User studies with professional analysts yielded encouraging feedback on the system's utility.

Conclusions:

  • Information visualization can significantly enhance sports analytics by supporting data exploration, hypothesis sharing, and communication.
  • The SnapShot system demonstrates the practical application of visualization in professional sports.
  • Further development and adoption of visualization tools are crucial for the evolving field of sports analytics.