Sports Analytics Methods – Probit Stepwise Regression for NCAA Tournament Bids

This is a review of the NCAA tournament bid research conducted by B. Jay Coleman, J. Michael DuMond, and Allen K. Lynch applying probit stepwise regression. The NCAA Tournament garners more than 60 million Americans completing a tournament bracket. It is estimated that anywhere from $60 – 70 million is bet legally every year with…

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Sports Analytics – Measuring Competitiveness Across Major Pro Sports Leagues

This is a review of the professional sports league competitiveness research conducted by Craig E. Wills. Competition is why we have sports teams and what draws fans to the games. Games that are not competitive result in fans leaving the stadium early or changing channels on their televisions. Non-competitive games also change the tactics used…

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Sports Analytics Methods – Applying Approximation Formulas and Stochastic Model in Golf

This is a review of the approximation formula and stochastic model research for analyzing the pace of play in golf, conducted by Qi Fu and Ward Whitt. Golf courses are always looking to maximize profit without affecting the golfers’ enjoyment of the game. Stochastic models and computer simulations provide information regarding how to optimize the…

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Sports Analytics Methods: Applying Frequencies and Logic Approach to Assess Referee Bias in the NBA

This is a review of the NBA referee bias research conducted by Christian Deutscher using frequencies and logic approach. The National Basketball Association hires referees to be impartial judges. However, refereeing is by its nature subjective, which means it is possible that there is some bias involved. Biases may be based on favorite players or…

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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 – 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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