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…
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.…
DetailsThis 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…
DetailsThis 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…
DetailsThis is a review of the optical tracking research conducted by Dan Cervone, Alexander D’Amour, Luke Bornn, and Kirk Goldsberry. The key moment of an offensive play in a basketball game may not be when the points are scored at the end of the possession. It may have occurred earlier in the possession with a…
DetailsThis is a review of the data driven ghosting with deep imitation learning research conducted by Hoang M. Le, Peter Carr, Yisong Yue, and Patrick Lucey. Statistics typically compare players and teams to the league average. However, this can be very limiting. A coach may want to compare their team against an opposing team rather…
DetailsThis is a review of the play sketching research conducted by Thomas Seidl, Aditya Cherukumudi, Andrew Hartnett, Peter Carr and Patrick Lucey. Tracking data in sports has become a staple for teams and coaches as they can now study their upcoming opponents in order to determine the best strategy possible. However, coaches do not have…
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