Data in Brief (Aug 2024)

Match score dataset for team ball sports

  • Thaksheel Alleck,
  • Tommaso Giovannelli,
  • Luis Nunes Vicente,
  • Roman Mitchell,
  • Ori Remen

Journal volume & issue
Vol. 55
p. 110625

Abstract

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In this data article, we present a dataset containing match scores from major international competitions for 12 popular team ball sports: basketball, cricket, field hockey, futsal, handball, ice hockey, lacrosse, roller hockey, rugby, soccer, volleyball, and water polo. The dataset was obtained by web scraping data available on Wikipedia pages and includes the following information related to individual matches: the year of the competition edition when a match occurred, the names of the two opposing teams, their respective scores, and the name of the winning team. Our match score dataset provides researchers in the field of sports analytics with valuable data that can be used to compute team statistics, develop team ranking and rating systems, infer patterns and trends in a team's performance across the edition years, build predictive models to forecast the outcome of future matches, and evaluate the performance of machine learning algorithms.

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