It’s a great day in sports analytics! Sports and Statistics…what do these two have in common? The first thing that pops to mind is… Baseball! Isn’t it? With all those stats, numbers and fancy graphics superimposed on screen, tossed at you between each and every action. And this happens for a good reason too. Let’s…
DetailsIt’s a great day in sports analytics! Today we will delve deeper into sports analytics by looking at one of the methods of analysis which is now being used in sports – normality tests. Sport coaches, managers and analysts are often found to attribute the performance of players in a team to various factors such…
DetailsIt’s a great day in sports analytics! Have you ever thought about using computational simulation to analyze and improve sports performance? Today, we will introduce you to the sports technology and tell you how it can improve performances. More than 10 years ago, Honeywell’s aerospace engineer, Barry Bixler, thought of joining aerospace simulation with sports…
DetailsIt’s a great day in sports analytics! Sentiment analysis is a relatively new technique which is now being used in sports analytics. Today, we will discuss what text and sentiment analysis entails and how it is applied in sports. What is sentiment analysis? When we talk about Sentiment Analysis (also called Mining of Opinions or…
DetailsThis 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…
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