Momentum-Based Race Analysis and GRU-Based Predictive Modeling
International Journal of Computer Science and Information Technology, (2025), Vol.7, No.2, pp.1-17
Published: September 27, 2025
Abstract
This study analyzes the data from the 2023 Wimbledon Men's Tennis Final, defines the concept of "momentum", and constructs a time - series prediction model based on the Gated Recurrent Unit (GRU). The objective is to develop a model capable of precisely capturing the point - by - point dynamic states during the match and presenting them in a visual format. Additionally, it validates the stochastic characteristics of the "momentum" phenomenon and evaluates its influence mechanism on the match trends.
Keywords:
Momentum, Correlation test, Machine learning, Binary logistic regression, GRU, Confusion matrix
APA Citation:
Haoran Zhang, Jirui Huang, Zhongshi Xing (2025). Momentum-Based Race Analysis and GRU-Based Predictive Modeling. International Journal of Computer Science and Information Technology, 7(2), 1-17. https://doi.org/10.62051/ijcsit.v7n2.01
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