Agile Sports / Agile Sports Analytics

This is a review of the negative binomial regression model research on Heisman voting conducted Nolan Kopkin. The Heisman Trophy is the top award given to a college football player every year.  However, many speculate that there is a bias in the vot... https://www.agilesportsanalytics.com/?p=833

This is a review of the Probit Regression Model and Least Squares Regression Model research conducted by N. David Pifer, Timothy D. DeSchriver, Thomas A. Baker III, and James J. Zhang. Every March the men\'s Division I teams from the NCAA compete i... https://www.agilesportsanalytics.com/?p=830

This is a review of the baseball Pythagorean Theorem research conducted by Jay Heumann. In baseball, the general belief is that a team’s ratio of runs scored to runs allowed is actually a better predictor of a team’s future performance than their winning record.  This is based on the baseball Pythagorean Theorem, which uses the… The post Sports Analytics Methods – Baseball Pythagorean Theorem appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/baseball-pythagorean-theorem/

This is a review of the baseball Pythagorean Theorem research conducted by Jay Heumann. In baseball, the general belief is that a team\'s ratio of runs scored to runs allowed is actually a better predictor of a team\'s future performance than their ... https://www.agilesportsanalytics.com/?p=827

This is a review of the sports analytics curling 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. In this… The post Sports Analytics – An Analysis of Curling Using a Three-Dimensional Markov Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-curling-model/

This is a review of the sports analytics curling 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... https://www.agilesportsanalytics.com/?p=824

It’s a great day in sports analytics! Today, we will look at another method of analytics that is widely used in sports—and that is uplift and persuasion modeling. Uplift and persuasion modeling is an aspect of data science which uses data aggregation to create predictive models for performance analysis. Sports analysts build predictive models, and… The post Sports Analytics Methods – Uplift and Persuasion Modeling appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/uplift-and-persuasion-modeling/

It’s a great day in sports analytics! Today, we will look at another method of analytics that is widely used in sports—and that is uplift and persuasion modeling. Uplift and persuasion modeling is an aspect of data science which uses data aggrega... https://www.agilesportsanalytics.com/?p=821

It’s a great day in sports analytics! Today we are going to discuss network analytics and how it’s applied in sports. Network analytics has been used by various fields for a very long time. It is used in process control networks which run across the manufacturing sector, utilities, health, and even in sports. The effectiveness… The post Sports Analytics – Network Analytics Applied in Sports appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/network-analytics/

It\'s a great day in sports analytics! Today we are going to discuss network analytics and how it\'s applied in sports. Network analytics has been used by various fields for a very long time. It is used in process control networks which run across t... https://www.agilesportsanalytics.com/?p=818

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… The post Sports Analytics Methods – Descriptive, Predictive, and Prescriptive Analytics appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/descriptive-predictive-and-prescriptive-analytics/

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. Descript... https://www.agilesportsanalytics.com/?p=815

It’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… The post Sports Analytics Methods – Supervised vs Unsupervised Learning appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/supervised-and-unsupervised-learning/

It’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 le... https://www.agilesportsanalytics.com/?p=810

It’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 ... https://www.agilesportsanalytics.com/?p=804

It’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… The post Sports Analytics Methods – Populations and Samples appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/populations-and-samples/

It’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… The post Sports Analytics Methods – Wilcoxon Signed Rank Test and Kruskal Wallis H Test appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/wilcoxon-signed-ranks-tests-kruskal-wallis-h-tests/

It’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 ... https://www.agilesportsanalytics.com/?p=801

It’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… The post Sports Analytics Methods – Deductive and Inductive Reasoning appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/deductive-and-inductive-reasoning/

It’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. ... https://www.agilesportsanalytics.com/?p=798

It’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 even... https://www.agilesportsanalytics.com/simulation-sports-analytics/

It’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… The post appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/simulation-sports-analytics/

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… The post Sports Analytics Methods – Statistical Mean or Average? appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/statistical-mean-or-average/

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 betwe... https://www.agilesportsanalytics.com/?p=788

It’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… The post Sports Analytics Methods – Normality Tests appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-normality-tests/

It’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 at... https://www.agilesportsanalytics.com/?p=785

It’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… The post Sports Analytics Methods – Computational Simulation appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-computational-simulation/

It’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 ... https://www.agilesportsanalytics.com/?p=782

It’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… The post Sports Analytics Methods – Sentiment Analysis appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sentiment-analysis/

It’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 sentimen... https://www.agilesportsanalytics.com/?p=777

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… The post Sports Analytics Methods – Bootstrap Simulation appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-bootstrap-simulation/

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 ma... https://www.agilesportsanalytics.com/?p=768

This 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… The post Sports Analytics Methods – Three Dimensional Markov Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/three-dimensional-markov-model/

This 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 pro... https://www.agilesportsanalytics.com/?p=770

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,… The post Sports Analytics – Multivariate Statistical Analysis appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/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 ca... https://www.agilesportsanalytics.com/?p=765

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… The post Sports Analytics Methods – Mathematical Programming appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-mathematical-programming/

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… The post Sports Analytics Methods – Sales Forecasting appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-sales-forecasting/