This is a review of the NFL schedules research applying mixed-integer linear programming titled “Alleviating Competitive Imbalance in NFL Schedules: An Integer-Programming Approach“. The National Football League has a strong fan base and generates more revenue than any other sports league in the world. During a regular season, NFL games are scheduled primarily on Sundays…
DetailsThis is a review of the NHL research conducted by Stephen Pettigrew, applying third-order polynomial regression. Hockey statistics have come a long way over the years, yet they still lag behind other sports like baseball and football. To close this lag two new statistics are created, In-Game Win Probability and Added Goal Value. The Game…
DetailsThis is a review of the Daily Fantasy Sports research conducted by Todd Easton and Sarah Newell, applying simulation and an integer programming model. We are a culture obsessed with our sports, from a very young age and throughout our lives. We cheer sometimes and boo at others. As fans, we often feel we could…
DetailsThis is a review of the NBA research conducted by Philip Maymin, applying Euclidean Distances to measure pace and acceleration. Basketball coaches illustrate plays using x’s and o’s on a white board along with verbal instructions regarding the pacing of the play. This creates a barrier to creating a method to objectively measure execution and…
DetailsThis is a review of the basketball research conducted by Min-hwan Oh, Suraj Keshri, and Garud Iyengar applying probabilistic graphical models for basketball match simulation. With any sporting event, it is natural for analysts, bettors, and fans to make predictions regarding the outcome. This is certainly true within the National Basketball Association. A simulation infrastructure…
DetailsThis 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…
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