Statistical Analysis and Data Mining: Sports Analytics Special Issue


  • Author: Statistics Views
  • Date: 04 November 2014

Statistical Analysis and Data Mining: The ASA Data Science Journal is publishing a Special Issue on Sports Analytics.

Analytics is revolutionizing the world of sports. Beyond Moneyball, where analytics were used for baseball draft selections, teams use analytics for a much wider set of applications – from the analysis of sensor measurements placed on players during training, to predicting their opponents’ strategy, or even their own best strategy.

thumbnail image: Statistical Analysis and Data Mining: Sports Analytics Special Issue

Call for Papers

This special issue is devoted to modern sports analytics. It will feature papers that develop novel insights into sports through descriptive analytics, visual analytics, predictive analytics, or prescriptive analytics. Any types of analytical techniques are welcome (data mining, machine learning, optimization, visualizations, etc.). Papers about any sport are welcome, whether or not it is a professional sport.

Papers will be judged as follows:
1) Does the paper provide insight into a sport that has not been previously demonstrated? Does the analysis provide implications for the future?
2) Does the paper demonstrate a deep understanding of the sport(s) discussed, and is this conveyed well to the reader?
3) Does the paper use or develop analytical techniques in a new way?
4) Is the paper well-written, exciting, and interesting to read?

Papers that provide only simple descriptive statistics are less likely to be accepted (unless the paper provides remarkable insights into sports). Papers that provide predictive models without insight into their results are not likely to be accepted.

Authors should aim for approximately 10-15 pages in length, and figures are encouraged.

Key dates: Papers will be handled as they arrive, until 1 July 2015. Each paper will be judged independently of other papers, and will go through the standard review process.

Submit your paper at

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