This is a review of the home plate umpire research conducted by David J. Hunter, applying convex hull metrics. Boos have been ringing out across baseball diamonds, criticizing umpire’s call judgments since the beginning of the game. Pitch-tracking data provides a method to evaluate and train Major League Baseball umpires and evidence suggests that since…
DetailsThis is a review of the research conducted by Xinyu Wei, Patrick Lucey, Stuart Morgan, Machar Reid, and Sridha Sridharan applying random decision forest and other sports analytics methods. Strategy is the name of the game in tennis with players continually attempting to maneuver their opponents into weak positions in order to score points. The…
DetailsThis is a review of the openWAR baseball analytics research conducted by Benjamin S. Baumer, Shane T. Jensen, and Gregory J. Matthews. The purpose of sports is to win. Analysts use statistical methods to study key areas of interest. One challenge is quantifying the contributions of individual players to their team and the number of…
DetailsThis is a review of the NBA guaranteed contracts research conducted by Arup Sen and J. Bradford Rice, applying a Bayesian model and simple OLS regression. In the world of sports, it always seems that players play better in the last year of their contract than they do during the earlier years. Teams then seem…
DetailsA 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…
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