In this sports analytics blog, Victor Holman provides the latest strategies to help coaches, analysts and management improve the IQ, team dynamics & execution of their players. Learn about sports analytics methodologies, best practices and latest trends as Victor brings real life examples with today’s teams. Victor Holman is a business performance expert, management consultant, speaker, and author. His thought leadership in business performance, organizational performance and process improvement has been demonstrated in books, frameworks and products he’s published over the last 20 years. Victor has served as a performance expert, project manager and management consultant to over 100 organizations, including Fortune 500 companies and Federal Agencies. He’s been featured in major television, radio and print media outlets for his ability to help small businesses outperform their competition by applying strategies, frameworks and management tools that work for large, successful businesses. And Victor is applying these same concepts to sports management and sports analytics. Victor believes that like small businesses, less talented basketball programs can level the playing field by applying a sports analytics methods that transcend their analytics programs beyond management decision making and into quantitative results delivered by the players. He also believes that in order to make a team function at optimal performance, it’s critical that game data is gathered, analyzed and translated into value that can be easily measured and delivered by its players. Victor can help teams figure out how to apply their data and existing analytics systems to help players measure value, increase IQ and create synergy using his Agile Basketball Framework. Victor’s sports analytics blog provides insight into all of the various statistical methods applied in sports analytics along with the key innovators and researchers who continue to push the sports analytics envelope.

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…

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Sports Analytics Methods – Convex Hull Metrics

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…

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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…

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Sports Analytics Methods – Potential Outcomes Framework

This is a review of the baseball analytics research conducted by David Michael Vock and Laura Frances Boehm Vock, applying a potential outcomes framework and G-computation algorithm. Baseball is an intricate sport, intertwining offensive and defensive strategies.  Baseball offense depends on the pitches the batter faces, the batter’s choice to swing, and the batter’s hitting…

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