DeepAI AI Chat
Log In Sign Up

Big Ideas in Sports Analytics and Statistical Tools for their Investigation

by   Benjamin S. Baumer, et al.
Loyola University Chicago
Smith College
Carnegie Mellon University

Sports analytics – broadly defined as the pursuit of improvement in athletic performance through the analysis of data – has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this paper, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data. For each, we explore both the shared similarities and individual idiosyncrasies of analytical approaches in each sport. While our focus is on the concepts underlying each type of analysis, any implementation necessarily involves statistical methodologies, computational tools, and data sources. Where appropriate, we outline how data, models, tools, and knowledge of the sport combine to generate actionable insights. We also describe opportunities to share analytical work, but omit an in-depth discussion of individual player evaluation as beyond our scope. This paper should serve as a useful overview for anyone becoming interested in the study of sports analytics.


page 18

page 20


A Survey on the application of Data Science And Analytics in the field of Organised Sports

The application of Data Science and Analytics to optimize or predict out...

Modeling Player and Team Performance in Basketball

In recent years, analytics has started to revolutionize the game of bask...

What are the most important statistical ideas of the past 50 years?

We argue that the most important statistical ideas of the past half cent...

A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas

Idea generation is the core activity of innovation. Digital data sources...

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Ubiquitous sensors and Internet of Things (IoT) technologies have revolu...

An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic

In the era of big data, standard analysis tools may be inadequate for ma...

Use Cases and Outlooks for Automatic Analytics

The landscape of analytics is changing rapidly. Much of online user anal...