Sports Analytics Methods – Mixed-Integer Linear Programming Model

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…

Details

Sports Analytics Methods – Probabilistic Graphical Models

This 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…

Details

Sports Analytics Methods – Bonferroni Adjusted Comparisons

A 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…

Details