Data-Driven Player Valuation and Game Strategies in the NBA
No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
School of Business |
Bachelor's thesis
Electronic archive copy is available locally at the Harald Herlin Learning Centre. The staff of Aalto University has access to the electronic bachelor's theses by logging into Aaltodoc with their personal Aalto user ID. Read more about the availability of the bachelor's theses.
Author
Date
2023
Department
Major/Subject
Mcode
Degree programme
Tieto- ja palvelujohtaminen
Language
en
Pages
20+11
Series
Abstract
In the dynamic and continuously evolving landscape of professional sports, the integration of data-driven approaches has become important in decision-making processes across various domains. This thesis embarks on a comprehensive exploration into the relationship between data analytics, player valuation, and game strategies within the context of the National Basketball Association (NBA). The study encompasses a literature review of data utilization in the NBA, and an exploration of its impact on game strategy, player performance assessment, and injury prevention. The research focuses on the 2022-2023 NBA season as a case study. The season’s dataset is analysed to uncover relationship between player’s on-court performance and salary. Employing regression analysis, the study unveils that offensive statistics have a bigger impact on player salaries in comparison to defensive metrics. Moreover, the study explores the role of data analytics in enhancing game strategies, player performance analysis, and injury prevention. This thesis underscores the influence of data-driven methodologies on player valuation and game strategies in the NBA. As the league continues to evolve, this research contributes a deeper understanding of how data-driven approaches are shaping the future of sports management and performance optimization.Description
Thesis advisor
Hekkala, RiittaKeywords
sports analytics, data analytics, NBA, player valuation
