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. His sports analytics blog helps 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.
This is a review of the MLB payroll research conducted by Martin Kleinbard applying cross sectional analysis and longitudinal analysis. Over the years, there has been a complaint among stakeholders in the MLB that a payroll inequity creates an uneven playing field among the teams. Is there any validity to this argument? If money plays…
DetailsThis is a review of the MLB research conducted by Joe Rosales and Scott Spratt applying the Strike Zone Plus/Minus. Every baseball game creates some controversy regarding the calls of strikes and balls. No one ever completely agrees with the umpire and umpires, being human, are not 100% accurate. It seems that some players in…
DetailsThis is a review of the soccer research conducted by Patrick Lucey, Alina Bialkowski, Mathew Montfort, Peter Carr, and Iain Matthews applying conditional random fields and point-in-polygon calculations. Within any soccer game, the team with the most shots on goal is often not the winner. Why is this? Obviously, not every shot has the same…
DetailsThis is a review of the basketball research conducted by Brian Skinner, applying networks and Braess’s paradox. A basketball game can be seen as a series of intertwined networks. Each possession has a starting point, a path to follow, and an ending point. Each possession, or pathway, would have its own unique probability of scoring…
DetailsThis is a review of the baseball research conducted by Clayton Graham, applying monte carlo simulation and production function techniques. As long as humans have been competing against each other, others have wagered regarding the outcome. Sports and betting go hand in hand across time, sports, and societies. In order to profit in the baseball…
DetailsThis is a review of the NBA research conducted by James Tarlow, applying multiple least square regression, including a lagged dependent variable. Within sports, it is always assumed that experience improves a team and leads to championships. This is especially true in the NBA. Teams made up of younger players are viewed negatively for their…
DetailsThis is a review of the MLB research conducted by Joseph Xu, Peter Fader, and Senthil Veeraraghavan, applying negative binomial regression. As much as sports teams are about winning championships, the aim of management and stakeholders is t o maximize revenue. Many teams across various sporting leagues have adopted a dynamic pricing strategy for single-game…
DetailsThis is a review of the NCAA research conducted by Mark Bashuk applying Win Probability Matrix and Cumulative Win Probability. Basketball games are often judged on how they end. If our team scores a last second point to win, we feel it was an exciting game. If we were cheering for the other team, we…
DetailsThis 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…
DetailsThis 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…
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