Author(s)

Shaohe Nan ¹, Shaobo Wang ¹, Dian Jiao ¹, Zhijia Hong ¹, Dong Liang ¹

Affiliation(s)

¹ School of Construction Machinery, Chang'an University, Xi'an, 710021, China

Corresponding Author

Shaohe Nan

ABSTRACT

Momentum is a concept that plays an important part in the game but is difficult to quantify. In order to understand the impact of momentum on sports competitions, in this paper we examine this topic in depth and closely from multiple perspectives and levels. We first analyzed the various factors affecting the momentum, judged the significant degree of the influence of the base score, the hold score, the break score, and the consecutive score rewards on the match, and gave different scores according to the magnitude of the influence. Then we categorize match features into basic features and advanced features. In addition, we analyze the features that should be supplemented in the prediction model for the same sport in different kinds of matches as well as in diverse middle sports, and extend and adjust the model according to their special characteristics. Finally, we summarize the advantages and disadvantages of the model and systematically report the overall ideas and consequences of our thesis in the form of a memo. 

KEYWORDS

Momentum, Race-consequence correlation, Permutation test, Decision tree

CITE THIS PAPER

Shaohe Nan, Shaobo Wang, Dian Jiao, Zhijia Hong, Dong Liang, Research on the impact of momentum based on quantitative models. Advances in Computer, Signals and Systems (2024) Vol. 8: 60-68. DOI: http://dx.doi.org/10.23977/acss.2024.080507.

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