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 – Probit Stepwise Regression for NCAA Tournament Bids

This is a review of the NCAA tournament bid research conducted by B. Jay Coleman, J. Michael DuMond, and Allen K. Lynch applying probit stepwise regression. The NCAA Tournament garners more than 60 million Americans completing a tournament bracket. It is estimated that anywhere from $60 – 70 million is bet legally every year with…

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Sports Analytics – Measuring Competitiveness Across Major Pro Sports Leagues

This is a review of the professional sports league competitiveness research conducted by Craig E. Wills. Competition is why we have sports teams and what draws fans to the games. Games that are not competitive result in fans leaving the stadium early or changing channels on their televisions. Non-competitive games also change the tactics used…

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Sports Analytics Methods – Applying Approximation Formulas and Stochastic Model in Golf

This is a review of the approximation formula and stochastic model research for analyzing the pace of play in golf, conducted by Qi Fu and Ward Whitt. Golf courses are always looking to maximize profit without affecting the golfers’ enjoyment of the game. Stochastic models and computer simulations provide information regarding how to optimize the…

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Sports Analytics Methods: Applying Frequencies and Logic Approach to Assess Referee Bias in the NBA

This is a review of the NBA referee bias research conducted by Christian Deutscher using frequencies and logic approach. The National Basketball Association hires referees to be impartial judges. However, refereeing is by its nature subjective, which means it is possible that there is some bias involved. Biases may be based on favorite players or…

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Sports Analytics Methods – Ordinary Least Squares Regression to Measure Impact of Diversity in Soccer

This is a review of the research conducted by Keith Ingersoll, Edmund Malesky, and Sebastian M. Saiegh applying ordinary least squares regression. Diversity is a hot topic across all aspects of society, including sports. Teams need to balance the costs and benefits of diversity. Costs include dealing with language and cultural barriers while benefits are…

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Sports Analytics Methods – Weighted Plus/Minus Metric in Soccer

This is a review of the weighted plus/minus soccer metric research conducted by Steven R. Schultze and Christian-Mathias Wellbrock. While soccer is the most popular sport in the world, its’ analytics have not reached the same level as those for other sports. However, the field is continuing to grow. A plus/minus metric has traditionally been…

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Sports Analytics Methods – Graphing, Stratification, Correlation, and Causation

This is a review of the graphing, stratification, correlation, and causation research conducted by Barry Smyth. The marathon is a grueling 26.2 miles and is often considered the iconic endurance event.  Every year millions of runners, both elite and recreational, participate in marathons around the world.  The goal for some is just to finish the…

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Sports Analytics Methods – Negative Binomial Regression Model

This is a review of the negative binomial regression model research on Heisman voting conducted Nolan Kopkin. The Heisman Trophy is the top award given to a college football player every year.  However, many speculate that there is a bias in the voting process.  The country is split into six regions, Northeast, Mid-Atlantic, South, Southwest,…

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