This is a review of the computer vision and machine learning research conducted by Omar Ajmeri and Ali Shah. NFL coaches are always looking for weaknesses in their opponents. They spend countless hours going through game film, searching for ways to increase their chances of winning. The process is tedious and often results in many…
DetailsThis is a review of the spatio temporal dynamics research conducted by Javier Fernandez and Luke Bornn. Soccer statistics are heavily focused on what happens when a player has the ball. However, what about the rest of the players on the field? Statistics have shown that players only have the ball for an average of…
DetailsThis is a review of the player injury analytics research conducted by Hisham Talukder, Thomas Vincent, Geoff Foster, Camden Hu, Juan Huerta, Aparna Kumar, Mark Malazarte, Diego Saldana, and Shawn Simpson Player injuries significantly affect the overall performance of a team and therefore are very concerning for team management and fans. A player injury model…
DetailsThis is a review of the basketball analytics research by Justin Kubatko, Dean Oliver, Kevin Pelton, and Dan T. Rosenbaum Within standard basketball statistics there are a variety of basic variables used. Understanding these variables helps everyone, the knowledgeable and the amateur, better understand the meaning behind the statistics. The first variable is possession. In…
DetailsThis is a review of the sports injury risk research conducted by Toni Caparros, Marti Casals, Alvaro Solana and Javier Pena. Injuries are a fact of life within professional sports. Every season teams lose money due to injured players. Games are lost, fans are disappointed, and players are unable to play the game they love.…
DetailsThis is a review of the shot chart analysis research conducted by Stephen Chu. Using statistics to analyze NBA game performance is becoming a higher priority with many teams hiring more statisticians, hoping that this will give them a competitive edge. Current NBA statistics focus mainly on the production of the individual player and do…
DetailsThis is a review of the neural networks research conducted by Kuan-Chieh Wang and Richard Zemel. Offensive strategies in basketball are complex and dynamic, ever changing in response to the defense. Not only do the plays evolve but also players can change roles as the play on the court continues. A further complication is that…
DetailsVariation can be determined using different sources of data. Three typical sources that are often compared are overall variation, between-team variation and within-team variation. You can use all three types of variation when analyzing points scored in the National Football League. Overall variation is determined using all of the points scored by all of the…
DetailsSome measurements can be difficult to work with and understand. In these cases, it can be useful to transform them to another function. Linear and logarithm transformations are two possible ways of accomplishing this. The transformation does not change the information, but rather displays it in a way that makes it easier to analyse and…
DetailsThis is a review of the research using predictive model weights conducted by Joel Brooks, Matthew Kerr, and John Guttag. Soccer is the world’s most popular sport, however, its statistics are not as sophisticated as those used in other sports. Players are evaluated using simple stats like number of goals, shots and assists. A new…
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