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…
DetailsThis 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…
DetailsThis is a review of the tennis analytics research conducted by Stephanie Ann Kovalchik, applying a bookmaker consensus model. Where there are sports, there are people predicting the outcome. Trying to figure out who will win fascinates people of all ages all around the world. This includes fans of the sport of tennis. Models that…
DetailsThis is a review of the soccer analytics research applying a generalized linear spatial regression model, conducted by Iavor Bojinov and Luke Bornn. Soccer is the most popular sport in the world and the Barclays English Premier League has the largest fan base of all soccer leagues. Soccer is a dynamic game dependent on team…
DetailsThis is a review of the sports research conducted by Stephen Devlin and Thomas Treloar applying network diffusion methods (Massey, Colley’s and Markov chain methods). Ranking is a natural phenomenon within the world of sports. Teams are ranked and so are individual players. In leagues consisting of a small number of teams and playing a…
DetailsThis is a review of the sports research conducted by Nicholas G. Polson and Hal S. Stern applying a distributional model and Brownian motion process. Why do we like to watch sporting events? One main reason is that we can never be sure of the outcome of the event until the end. There is always…
DetailsThis is a review of the NBA research conducted by Joseph Kuehn applying event tree models and conditional probability. A key to the success of any NBA team is the ability to put together a lineup of players who work well together. Success depends on the whole being better than the parts. In this research,…
DetailsThis 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…
DetailsThis 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…
DetailsThis 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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