Big Data and Data-driven in Sports

Journal of Big Data is calling for submissions to our Collection on Big Data and Data-driven in Sports. Over the past few decades, interest in applying statistical analysis and modeling techniques to sports has been constantly growing. This trend is evident from the increasing body of scientific research and the numerous published works that provide valuable statistical insights across various sports, such as soccer, tennis, American football, baseball, and basketball, among others. This rising interest has been accompanied by a massive expansion in the availability of data, including the rise of big data, which offers a vast and detailed array of information that enhances the depth and accuracy of sports analytics.

We invite researchers to submit articles focused on advancing statistical and machine learning methods encompassing models, algorithms, and multivariate exploratory techniques in the realm of big data sports analytics. We seek contributions that introduce novel methodologies and practical techniques, showcasing significant advancements, extensions, and applications within this context. Submissions should emphasize innovative, complex, or scientifically compelling aspects of statistical analysis across a broad spectrum of sports, including both professional and amateur disciplines.

Topics:

The goal of this special issue is to collect articles that explore a variety of topics, including (but not limited to):

• Models and algorithms for forecasting game outcomes

• Methods for assessing and measuring teams’, players’ and athletes’ performance

• Implementation of optimal game strategies

• Methods to deal with players’ tracking data

• Analysis of the impact of vital parameters to athletes’ performance

• Exploitation of training data collected with sensors, wearables or other technologic equipment

• Data analysis problems associated with massive, complex datasets in sports

• Novel statistical approaches and data mining methods in sports

• Comparing and contrasting techniques for solving research questions in sports

• The role of social media and public sentiment analysis in sports analytics

• Economic impact analysis of sports events using big data

This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read the submission guidelines to confirm that type is accepted by the journal you are submitting to. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Big Data and Data-driven in Sports" from the dropdown menu.

Articles will undergo the standard peer-review process of the journal they are considered in the Journal of Big Data and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.