Sports analytics machine learning, as the name suggests, uses a machine to learn without the need for human programming or intervention. Algorithms analyze large data sets for meaningful patterns from which future events can be predicted or classified. Its advantage over traditional statistical methods is the ability to detect patterns which are apparently random, as…
DetailsIn this sports analytics methods 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…
DetailsATTENTION COACHES, ANALYSTS & TEAM OWNERS Executing Game Plans & Winning Just Got Easier! Does your team Struggle to Stay on Top, year in and year out? Do players Fail to Execute Your Game Plan and Play with Synergy? Wish you could Get the Most Out of Every Player…every game? If you answered “Yes” to Any of These Questions, then…
DetailsSports data visualization, like other sports analytics methods involves the use of data and advanced statistics to measure team performance and gain a competitive sports advantage. Sports data visualization is a visual communication that presents data in graphical and pictorial form. With data visualization, large data and records can be quickly and conveniently analyzed without…
DetailsProfessional sports teams today deploy sports analytics methods as a top strategy for winning games. It has thus prompted managers to crystallize the role of analytics in other related activities within sports teams. Michael Lewis, in his 2003 book money-back described ‘theory of Analytics’ as the secret to success, player, and team evaluation. Lewis states…
DetailsThis is a review of the sports analytics coaching assistance research conducted by Avery McIntyre, Joel Brooks, John Guttag and Jenna Wiens. The ball screen (also called a pick and roll) is an offensive tactic that is regularly used in the NBA. To defend against it requires that the defense stop the ball handler from…
DetailsThis is a review of the deep reinforcement learning research performed by Jiaxuan Wang, Ian Fox, Jonathan Skaza, Nick Linck, Satinder Singh and Jenna Wiens. Double teaming (two defensive players focused on one offensive player) is a strategy regularly employed in the NBA. It can result in slowing down strong offensive players; however, it can…
DetailsThis is a review of the Bayesian hierarchical latent variable models conducted by Kyle Burris and Greg Appelbaum. Many experts consider hitting a pitched baseball to be the hardest thing to do in sport. The athlete must determine the type of pitch and its trajectory, decide to swing the bat in coordination with the path…
DetailsThis is a review of the research conducted by Joseph Sill. Adjusted Plus Minus (APM) is a technique used for evaluating players. Adjusted Plus Minus starts with the idea that what is the most important is the player’s contribution to the team’s margin of victory. The +/- stat is the difference between the points the…
DetailsThis is a review of the knapsack formulation research conducted by Pravek Karwe, Rishi Khera, Narain Krishnamurthy, and Sarah Tracy. At the end of every season NBA teams need to evaluate those players who are now unrestricted free agents to determine which players would have the greatest impact on their team in future years. Simply…
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