Sports Analytics – Multivariate Statistical Analysis

It’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,…

Sports Analytics Methods – Mathematical Programming

Mathematical 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…

Sports Analytics Methods – Sales Forecasting

It’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…

Sports Analytics – Data Science Methods

It’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…

Sports Analytics Methods – Non-Parametric Correlation

It’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…

Sports Analytics Methods – Regression and Classification in Basketball

It’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…

Sports Analytics Methods – Social Network Analysis

It’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…

Sports Analytics Methods – STEM Sports Science

This is a review of the STEM sports science research conducted by John F. Drazan, Amy K. Loya, Benjamin D. Horne, and Ron Eglash. Sports analytics give us a tool that can be used to reach out and help youth people gain skills through Science, Technology, Engineering, and Mathematics (STEM) education that will help them…

Sports Analytics Methods – Heuristic Algorithms

It’s a great day in sports analytics! Today, we will take a dive into the concept of heuristic algorithm and how it has impacted the world of sports. The major benefit of using a heuristic algorithm in sports analytics is that it enables coaches, teams, analysts and other field persons to make quick decisions that…

Sports Analytics Methods – Bland-Altman Plot Analysis

It’s a great day in sports analytics! Today I’m going to touch on Bland-Altman plot analysis and its application in the world of sports. Bland-Altman plot analysis is a graphical method that involves plotting the differences of two techniques against their mean or average. The differences can also be plotted against one of the two…