期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 565, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.physa.2020.125544
关键词
Scoring dynamics; Competitive sports; Sports statistics
资金
- National Research Foundation of Korea [NRF-2016S1A2A2911945, NRF-2016S1A3A2925033]
- BK21 Plus Postgraduate Organization for Content Science, Republic of Korea
- National Information Society Agency of Korea [NIA2020-099]
- National Research Foundation of Korea [2016S1A2A2911945] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Sports audiences' excitement comes from factors like uncertainty in game outcomes and expectations of winning streaks. Ties represent the opposite of the ultimate goal of winning for contestants and their fans, pushing contestants to adapt and strategize to break the tie, leading to more dynamic gameplay.
Sports audiences' sense of excitement originates from a multitude of factors such as the uncertainty in the outcome of a game and the expectation of winning streaks. The uncertainty factor can be said to be maximized when the game is tied. At the same time, a tie represents the antipode to the ultimate goal-to win-of the contestants and the wishes of their loyal fans. A tie therefore encourages the contestants to continually adapt to the situations and strategize to break it, leading to an even more dynamic and engrossing gameplay. A key to understanding this phenomenon starts from the characteristic dynamics of ties and scoring events in sports games. Here we analyze the complete data from a full season of the National Basketball Association (NBA), the professional basketball league of the United States and Canada, to find the patterns of scoring and ties and how they correlate with the interactive nature of sports, and show how they differ from traditional simple random models based on cruder summary statistics that can show their insufficiencies on fine details of gameplay. Given the social and economic significance of such enterprises, these types of findings will prompt the much-needed developments in detailed modeling of sports based on actual data. (C) 2020 Elsevier B.V. All rights reserved.
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