2026-09-18T23:42:32Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1232922021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Anette Hosoi.
He, Wei Xun,S.B.Massachusetts Institute of Technology.
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2019-12-13T19:02:50Z
2019-12-13T19:02:50Z
2019
2019
https://hdl.handle.net/1721.1/123292
1130588752
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 48-49).
In most team-based ball sports, the ability to pass the ball is an important aspect of a team's offense. While most teams understand that passing the ball well can create valuable offensive opportunities and win games, many traditional teams still view passing as an ambiguous art form. On the other hand, the advanced teams are using data to make data-driven decisions about their passing. Specifically, the NBA has collected a wealth of data over the past few decades, and teams are trying to transform this data into valuable insights that can help them edge their competition. Using publicly available data, I explored how the passing dynamics of teams compare across seasons and teams, and created diagrams to better communicate the assist relationships between teammates (see Appendix). This information has revealed interesting insights regarding individual players, teams, and the greater league. Through this research, I hope to help teams better understand the science of passing so they can make more informed basketball decisions.
by Wei Xun He.
S.B.
S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering
98 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Analysis of publicly available data to explore the role of assist in the NBA
Thesis
application/pdf
2019-12-13T19:02:49Z
Publication
Bachelor
MechE
unknown
unknown
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<Abstract>In most team-based ball sports, the ability to pass the ball is an important aspect of a team's offense. While most teams understand that passing the ball well can create valuable offensive opportunities and win games, many traditional teams still view passing as an ambiguous art form. On the other hand, the advanced teams are using data to make data-driven decisions about their passing. Specifically, the NBA has collected a wealth of data over the past few decades, and teams are trying to transform this data into valuable insights that can help them edge their competition. Using publicly available data, I explored how the passing dynamics of teams compare across seasons and teams, and created diagrams to better communicate the assist relationships between teammates (see Appendix). This information has revealed interesting insights regarding individual players, teams, and the greater league. Through this research, I hope to help teams better understand the science of passing so they can make more informed basketball decisions.</Abstract>
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