This is a review of the bootstrap simulation research conducted by Timothy Chan, David Madras, and Martin Puterman. There are two categories of golf competitions. In a stroke play competition the player with the fewest strokes wins the game. In match play, the player who wins the greatest number of holes wins the game. As…
DetailsThis is a review of the Three-Dimensional Markov Model research conducted by Paul Brenzel, William Shock, and Harvey Yang. Curling enjoys great popularity in Canada and is on the rise in the United States. This study models curling as a Markov process to estimate win probabilities of different states during a curling match. Score information…
DetailsIt’s a great day in sports analytics! Today we’re going to touch on multivariate statistical analysis and it’s application in the world of sports. Many statistical methods can be performed using ordinary pocket calculators. But, this is not the case with multivariate statistical analysis. For its execution, a computer is needed and a statistical program,…
DetailsMathematical programming in sports refers to the use of mathematical models in making tactical, analytical, performance-based or managerial decisions in training sessions, during the field of play, or in management situations. Mathematical programming simply refers to computerizing the planning of activities. Mathematics is pervasive; it is virtually everywhere – around us, in our day-to-day activities…
DetailsIt’s a great day in sports analytics! Sales forecasting has been a growing trend in the world of sports, where it has been used in an attempt to predict outcomes of games. Today we will be stepping into sales forecasting and the business model relating to sports analytics. Sales forecasts are quite essential in sports…
DetailsIt’s a great day in sports analytics! Today I’m going to briefly discuss data science methods and the role they play in sports. The use of data science in sports is growing. We have seen some examples in the soccer, basketball, the Olympic games, national and international competitions and the list goes on. This is…
DetailsIt’s a great day in sports analytics! Today I’m going to briefly discuss the use of Non-Parametric Correlation as a method of sports analytics. What is Non-Parametric Correlation? Before we get into how non parametric correlation is used in sports analytics, we first must understand non parametric correlations in a textual concept. Non parametric correlation…
DetailsATTENTION COACHES, ANALYSTS & TEAM OWNERS Executing Game Plans & Winning Just Got Easier! Sports Analytics Expert Victor Holman Explains Hi, I’m Victor Holman, sports analytics expert and author of ‘Sports Analytics from A to Z’ and ‘Win!’. If you have engaged in a sports analytics program you’ve probably come across one of these common…
DetailsIt’s a great day in sports analytics! Today we’ll discuss regression and classification and how they are applied in basketball. Game-related statistics that discriminate between winning and losing teams have received plenty of research attention within performance analysis in basketball. Regression and classification has identified consistent key indicators (i.e.. successful 2-point shots, defensive rebounds and…
DetailsIt’s a great day in sports analytics! Today, we’re going to talk about sports social network analysis and how sports teams are leveraging social network analysis and the internet to increase team sales and marketability. And we’ll take a deeper dive into how social networks already play a fundamental role in many of the communication…
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