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Orlando Magic: The Free Agency Decision

Aysajan Eziz, Ali Haider Nadeem

Product #:W27081
Supplier:Ivey
Discipline:Management Science
Setting:United States, 2019
Details:Case (PDF) • 5 pages • 2022-03-10

Subjects:

Analytics and data scienceData science

Industries:

Media, entertainment, and professional sports

Geography:

North AmericaUnited States
Your Price:$9.71

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On the morning of June 30, 2019, the Orlando Magic had only a few hours to make a major decision, before the National Basketball Association free agency period was set to begin at 6 p.m. The management team needed a recommendation regarding whether to offer a new contract to the team’s current player, Terrence Ross, or pursue a free agent replacement, such as Rudy Gay. With extensive analytical data available, a thorough analysis was needed to predict which player was most likely to contribute to the Orlando Magic’s future success.

Learning Objectives

This case is suitable for courses on analytics, management science, and business statistics at the undergraduate- and graduate-level. It focuses on predictive analytics, primarily through the use of linear regression modelling and simulation. The primary issue in this case is to predict whether Ross or Gay would be more likely to contribute to the Magic’s success in the next season by using predictive analytics to make a recommendation. Through quantitative and qualitative analysis and discussion, students will determine which player is a better fit for the future of the team in terms of culture, reputation, chances of injury, age, and other factors. After working through the case and assignment questions, students will be able to do the following:
  • Use scatter plots and correlation matrices to analyze potential relationships between different variables;
  • Construct a linear regression model using Microsoft Excel; and
  • Use a regression equation to predict the future performance of a player or team.
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Case Study: Orlando Magic: The Free Agency Decision (English version) | Ivey Publishing