It’s a great day in sports analytics! Today, we will be looking at three critical phases of sports analytics: Descriptive, Predictive, and Prescriptive Analytics. Before we go on, let’s briefly discuss what each of the analytics mean. Descriptive analytics is a method used by analysts to understand what has happened within the field in the…
DetailsIt’s a great day in sports analytics! Our topic of discussion for today is supervised and unsupervised learning. Within machine learning, there are two main types of tasks: supervised and unsupervised. Today, we’ll learn what is supervised learning and how it relates to unsupervised learning. Coaches and sports analysts use the data mining process of supervised and unsupervised learning techniques to group players or…
DetailsIt’s a great day in sports analytics! Today, we’re going to discuss the use of populations and samples, which are an integral part of probability and statistics. And we will examine populations and samples, as they are used in empirical research as a method of analyzing sports. Establishing populations and samples through an empirical approach…
DetailsIt’s a great day in sports analytics! Today, we will discuss two similar sports analytics methods called the Wilcoxon Signed Rank Test and Kruskal Wallis H Test. In the application of Wilcoxon Signed Rank Test and Kruskal Wallis H Test, coaches and sport analysts employ tests to compare two or more independent samples that are…
DetailsIt’s a great day in sports analytics! Today, I will discuss another technique of sport analytics which looks quite simple, but is very effective in enhancing the performance of a player or a team—and that is Deductive and Inductive Reasoning. Coaches often use this method to reach a particular conclusion—inductive reasoning is used to reach…
DetailsIt’s a great day in sports analytics! Today, we will be looking at another critical approach that is used in sport analytics, and that is simulation. Coaches, managers, and sports analysts employ simulation methods to predict the outcome of events or performances of particular players or teams. This allows the managers to predict the chances…
DetailsIt’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…
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