Agile Sports / Agile Sports Analytics

This 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… The post Sports Analytics Methods – Convex Hull Metrics appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-methods-convex-hull/

This 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-tracki... https://www.agilesportsanalytics.com/?p=917

This 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… The post Sports Analytics Methods – Random Decision Forest appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/random-decision-forest/

This 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 co... https://www.agilesportsanalytics.com/?p=910

This 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… The post Sports Analytics Methods – OpenWAR Baseball Analytics appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-methods-openwar-and-conservation-of-runs-framework/

This 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 challe... https://www.agilesportsanalytics.com/?p=906

This 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… The post Sports Analytics Methods – Bayesian Model and Simple OLS Regression appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/bayesion-model-simple-ols-regression/

This 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 c... https://www.agilesportsanalytics.com/?p=897

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… The post Sports Analytics Methods – Bonferroni Adjusted Comparisons appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/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 stat... https://www.agilesportsanalytics.com/?p=893