The 6th Congress of Exercise and Sport Sciences

Data Visualization and Data Analytics in Sports

Ramy Elitzur
The Edward Kernaghan Professor in Financial Analysis, Rotman School of Management, University of Toronto, Toronto, Canada

Since the publication of Moneyball in 2003 the use of data analytics has surged in professional sports and other fields. Moneyball told the story of the use of advanced baseball analytics by the Oakland Athletics, a Major League Baseball (MLB) team, and how it has resulted in improved player selection and game management. Moreover, it changed managerial vocabulary, as the term “Moneyballing” now commonly describes organizations that use data analytics. By using available information technology, we can utilize machine learning algorithms both for player selection and game management. The first part of the session will discuss the use of data visualization in professional sports and how it can be used strategically for game management. Examples will use real-time examples from the National Basketball Association (NBA) and MLB. The second part of the session will illustrate how machine learning tools can help us make decisions in the NBA both for game management and player selection.

Ramy Elitzur
Prof. Ramy Elitzur
University of Toronto
Ramy Elitzur, MBA (Tel Aviv), MPhil. (New York University), Ph.D. (New York University) Edward J. Kernaghan Professorship in Financial Analysis, Rotman School of Management, University of Toronto Phone: 416-978-3827 Email: elitzu@rotman.utoronto.ca Ramy Elitzur is the Edward J. Kernaghan Professor in Financial Analysis at the Rotman School of Management, University of Toronto. Previously he has served as the Executive Director, MBA Programs and Acting Academic Director of EMBA at the Rotman School of Management, University of Toronto. Previously he has taught at the Recanati Graduate School of Business Administration, Tel Aviv University and Stern School of Business Administration, New York University. Ramy has won several teaching awards including in 2006 the prestigious Dean’s Award for Excellence in Teaching. Ramy Elitzur has earned a Ph.D. and M.Phil. from Stern School of Business Administration, New York University and an MBA from Recanati School of Business Tel Aviv University. In addition, he holds US CPA and CMA designations. Ramy’s areas of research are game theory applied to financial situations and data analytics (including machine learning) applied to financial information and sports. His publications are in various top journals in entrepreneurship, economics, management science, and accounting. Ramy Elitzur’s professional expertise includes financial statement analysis and valuation. Professor Elitzur has also served as an expert witness in lawsuits involving financial reporting in the US, Canada and Israel. In February 2007 Ramy has appeared before The House of Commons Standing Committee on Finance on Income Trusts. Ramy was a member of the audit committee of the University of Toronto and the Accounting & Audit Policy Committee of the Canadian Coalition for Good Governance. Professor Elitzur has been quoted in the Associated Press, Bloomberg, Boston Globe, The Bottom Line, Business Insider, Business Week, Chicago Tribune, CPA magazine, Edmonton Journal, Financial Times, The Globe and Mail, The Huffington Post, Maclean’s Magazine, La Presse, The Lawyers Weekly, Los Angeles Times, the National Post, New York Times, The Ottawa Citizen, Time Magazine, and the Toronto Star. Professor Elitzur was interviewed on BNN, CBC, CFMT, CTV, Global TV, OMNI, Newsworld, Newsnet, and the Life Channel.








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