Sports Analytics Methods – Ordinary Least Squares Regression to Measure Impact of Diversity in Soccer

This is a review of the research conducted by Keith Ingersoll, Edmund Malesky, and Sebastian M. Saiegh applying ordinary least squares regression. Diversity is a hot topic across all aspects of society, including sports. Teams need to balance the costs and benefits of diversity. Costs include dealing with language and cultural barriers while benefits are…

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Sports Analytics Methods – Graphing, Stratification, Correlation, and Causation

This is a review of the graphing, stratification, correlation, and causation research conducted by Barry Smyth. The marathon is a grueling 26.2 miles and is often considered the iconic endurance event.  Every year millions of runners, both elite and recreational, participate in marathons around the world.  The goal for some is just to finish the…

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Sports Analytics Methods – Descriptive, Predictive, and Prescriptive Analytics

It’s a great day in sports analytics! Today, we will be looking at three critical phases of sports analytics: Descriptive, Predictive, and Prescriptive Analytics. Before we go on, let’s briefly discuss what each of the analytics mean. Descriptive analytics is a method used by analysts to understand what has happened within the field in the…

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