Agile Sports / Agile Sports Analytics

This is a review of the NBA research conducted by Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry applying multinomial logistic regression. Basketball is a game based on both offensive and defensive skill.  However, to date most basketball statistics deal with the offensive side of the game.  This limits the ability to evaluate teams… The post Sports Analytics Methods – Multinomial Logistic Regression appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/multinomial-logistic-regression/

This is a review of the NBA research conducted by Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry applying multinomial logistic regression. Basketball is a game based on both offensive and defensive skill.  However, to date most ... https://www.agilesportsanalytics.com/?p=943

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… The post Sports Analytics Methods – Mixed-Integer Linear Programming Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/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 ... https://www.agilesportsanalytics.com/?p=928

This 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 t... https://www.agilesportsanalytics.com/sports-analytics-third-order-polynomial-regression/

This 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 t... https://www.agilesportsanalytics.com/?p=935

This 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… The post Sports Analytics – Third-Order Polynomial Regression appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-third-order-polynomial-regression/

This 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… The post Sports Analytics – Integer Programming Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-integer-programming-model/

This 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 ... https://www.agilesportsanalytics.com/?p=932

This 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… The post Sports Analytics Methods – Euclidean Distances appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-euclidean-distances/

This 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 pac... https://www.agilesportsanalytics.com/?p=924

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… The post Sports Analytics Methods – Probabilistic Graphical Models appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/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 t... https://www.agilesportsanalytics.com/?p=920