A Study on Optimizing Winning Strategies for Basketball Sports Teams Based on Data Analysis 


Vol. 14,  No. 4, pp. 273-281, Apr.  2025
https://doi.org/10.3745/TKIPS.2025.14.4.273


PDF
  Abstract

This study aims to identify the causes of poor performance of NBA teams through data analysis and propose strategic optimization measures based on the findings. The research utilizes data from the official NBA website and Basketball Reference to conduct the analysis, applying multiple regression analysis and clustering analysis to derive key variables that significantly impact victories. Based on these analytical results, an optimal player acquisition strategy was proposed, and to validate the feasibility of the suggested strategy, simulations were conducted using the NBA 2K simulator, focusing on the Golden State Warriors (GSW) team. The findings of this study are expected to contribute to establishing a strategic direction for improving basketball team performance through a data-driven approach. By systematically analyzing the key factors that influence victories, the study provides practical insights into the decision-making process for team operations and player composition. The proposed optimization measures in this study are anticipated to enhance the applicability of sports management and analytics and contribute to the establishment of efficient team operation strategies.

  Statistics
  Cite this article

[IEEE Style]

J. Lee and H. Boun, "A Study on Optimizing Winning Strategies for Basketball Sports Teams Based on Data Analysis," The Transactions of the Korea Information Processing Society, vol. 14, no. 4, pp. 273-281, 2025. DOI: https://doi.org/10.3745/TKIPS.2025.14.4.273.

[ACM Style]

Jognbin Lee and Homin Boun. 2025. A Study on Optimizing Winning Strategies for Basketball Sports Teams Based on Data Analysis. The Transactions of the Korea Information Processing Society, 14, 4, (2025), 273-281. DOI: https://doi.org/10.3745/TKIPS.2025.14.4.273.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals