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 – Weighted Plus/Minus Metric in Soccer

This is a review of the weighted plus/minus soccer metric research conducted by Steven R. Schultze and Christian-Mathias Wellbrock. While soccer is the most popular sport in the world, its’ analytics have not reached the same level as those for other sports. However, the field is continuing to grow. A plus/minus metric has traditionally been…

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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 – Negative Binomial Regression Model

This is a review of the negative binomial regression model research on Heisman voting conducted Nolan Kopkin. The Heisman Trophy is the top award given to a college football player every year.  However, many speculate that there is a bias in the voting process.  The country is split into six regions, Northeast, Mid-Atlantic, South, Southwest,…

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Sports Analytics – An Analysis of Curling Using a Three-Dimensional Markov Model

This is a review of the sports analytics curling research conducted by Paul Brenzel, William Shock, and Harvey Yang. Curling enjoys great popularity in Canada and is on the rise in the United States.  This study models curling as a Markov process to estimate win probabilities of different states during a curling match. In this…

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Sports Analytics Methods – Uplift and Persuasion Modeling

It’s a great day in sports analytics! Today, we will look at another method of analytics that is widely used in sports—and that is uplift and persuasion modeling. Uplift and persuasion modeling is an aspect of data science which uses data aggregation to create predictive models for performance analysis. Sports analysts build predictive models, and…

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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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