This 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…
This 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…
This 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…
This 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…
This 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…
This 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…
This 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…
This 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.…
This is a review of the spatial and visual analytics research conducted by Kirk Goldsberry, Ph.D. Basketball players need to have a strong spatial ability which is the ability to understand, reason and remember spatial relations among objects or space. This spatial ability is related to all aspects of the game including choosing where to…
This is a review of the shot efficiency research using Markov chains conducted by Nathan Sandholtz and Luke Bornn. The probability of a player taking a shot is not consistent throughout a basketball game. The probability of the ball handler shooting increases dramatically as the shot clock winds down. Teams would rather take a poor…