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thesis-paper-formatted.pdf (1.26 MB)
ETD Abstract Container
Abstract Header
NBA ON-BALL SCREENS: AUTOMATIC IDENTIFICATION AND ANALYSIS OF BASKETBALL PLAYS
Author Info
Yu, Andrew Seohwan
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=csu14943636475232
Abstract Details
Year and Degree
2017, Master of Computer and Information Science, Cleveland State University, Washkewicz College of Engineering.
Abstract
The on-ball screen is a fundamental offensive play in basketball; it is often used to trigger a chain reaction of player and ball movement to obtain an effective shot. All teams in the National Basketball Association (NBA) employ the on-ball screen on offense. On the other hand, a defense can mitigate its effectiveness by anticipating the on-ball screen and its goals. In the past, it was difficult to measure a defender’s ability to disrupt the on-ball screen, and it was often described using abstract words like instincts, experience, and communication. In recent years, player motion-tracking data in NBA games has become available through the development of sophisticated data collection tools. This thesis presents methods to construct a framework which can extract, transform, and analyze the motion-tracking data to automatically identify the presence of on-ball screens. The framework also provides assistance for NBA players and coaches to adjust their game plans regarding the on-ball screen using trends from past games. With the help of support vector machines, the framework identifies on-ball screens with an accuracy of 85%, which shows considerable improvement from the current published results in existing literature.
Committee
Sunnie Chung, Ph.D. (Committee Chair)
Yongjian Fu, Ph.D. (Committee Member)
Nigamanth Sridhar, Ph.D. (Committee Member)
Pages
53 p.
Subject Headings
Artificial Intelligence
;
Computer Science
Keywords
NBA
;
Basketball
;
Basketball Analytics
;
NBA Analytics
;
Data Mining
;
Web Scraping
;
Machine Learning
;
Support Vector Machine
;
Classification
;
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Citations
Yu, A. S. (2017).
NBA ON-BALL SCREENS: AUTOMATIC IDENTIFICATION AND ANALYSIS OF BASKETBALL PLAYS
[Master's thesis, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu14943636475232
APA Style (7th edition)
Yu, Andrew.
NBA ON-BALL SCREENS: AUTOMATIC IDENTIFICATION AND ANALYSIS OF BASKETBALL PLAYS.
2017. Cleveland State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=csu14943636475232.
MLA Style (8th edition)
Yu, Andrew. "NBA ON-BALL SCREENS: AUTOMATIC IDENTIFICATION AND ANALYSIS OF BASKETBALL PLAYS." Master's thesis, Cleveland State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu14943636475232
Chicago Manual of Style (17th edition)
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Document number:
csu14943636475232
Download Count:
212
Copyright Info
© 2017, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.