This is a review of the Hawk-Eye Electronic Line-Calling System Data research conducted by Simon Choppin, Simon Albrtecht, James Spurr, and Jamie Capel-Davies. As technology has improved, the ability to analyze the game of tennis has been enhanced. One such technology is the Hawk-Eye Electronic Line-calling System. This system automatically tracks the ball and players…
DetailsThis is a review of the basketball research applying allocative efficiency and dynamic efficiency techniques conducted by Brian Skinner and Matthew Goldman. The end goal for any basketball game is to win the game. In order to maximize the chance of winning, teams need to evaluate the effectiveness of their strategies in influencing the outcome…
DetailsThis is a review of the NBA research using bipartite graph algorithms conducted by Sohum Misra. Basketball is ever growing in its popularity. Teams look for new techniques to help them gain advantages over their competitors. One technique increasing in its use is advanced statistics. These statistics help teams determine the intangible value of an…
DetailsThis is a review of the player tracking data and network model research conducted by Brian Skinner and Stephen J. Guy. Since the 2013/2014 season, all NBA arenas have installed a system of cameras and tracking software. These systems provide a wealth of information that can then be analyzed. This information includes both quantifiable and…
DetailsThis is a review of the Injury Risk Mitigation System (IRMS) research conducted by Calham Dower, Abdul Rafehi, Jason Weber, and Razali Mohamad. Player injuries are a key concern for all teams across all sports. Injuries can cost teams thousands of dollars every day and negatively affect the teams’ competitiveness. Over the years several programs…
DetailsThis is a review of the spatiotemporal trajectory clustering soccer research conducted by Jennifer Hobbs, Paul Power, Long Sha, Hector Ruiz and Patrick Lucey. In soccer, transitioning from defense to offense and vice versa is extremely important. However, there are no methods to quantify or rank the effectiveness of these transitions. In order to create…
DetailsThis is a review of the linear regression research conducted by Daniel Sailofsky. Every year NBA teams struggle to determine who their coveted draft choices should be. This study focuses on the choices that teams have made in order to analyze decision making biases and errors. The data for this research came from the NCAA…
DetailsThis is a review of the clustering and regression research conducted by Robert Ayer. Why do some teams appear to under perform while others seem to over perform? Looking at a team with several star players leads to high expectations, yet the team does not live up to these expectations. Contrarily, teams that lack star…
DetailsThis is a review of the statistical prediction model research conducted by Michael E. Schuckers. Every year NHL general managers need to decide who they will choose in the draft. A statistical model was built to rank players as to how they should be chosen in the draft. The model included height, weight, statistics regarding…
DetailsThis is a review of the spatio-temporal patterns and deep learning research conducted by Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg Mori. Player interactions are a key component of team sports. Every player has a unique trajectory style. Putting these players together as a team creates a unique style for that team.…
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