Sports Analytics Methods – Bonferroni Adjusted Comparisons

A Closer Look at the Prevalence of Time Rule Violations and the Inter-Point Time in Men’s Gland Slam Tennis This is a review of the tennis analytics research conducted by Otto Kolbinger, Simon Grossmann, and Martin Lames, applying descriptive statistics, regression analysis, and Bonferroni adjusted comparisons. Paragraph 29a of the official International Tennis Federation’s Rules…

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Sports Analytics Methods – Potential Outcomes Framework

This is a review of the baseball analytics research conducted by David Michael Vock and Laura Frances Boehm Vock, applying a potential outcomes framework and G-computation algorithm. Baseball is an intricate sport, intertwining offensive and defensive strategies.  Baseball offense depends on the pitches the batter faces, the batter’s choice to swing, and the batter’s hitting…

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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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