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Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory
April 23, 2024, 4:41 a.m. | Jingdi Lei, Tianqi Kang, Yuluan Cao, Shiwei Ren
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper represents an analysis on the momentum of tennis match. And due to Generalization performance of it, it can be helpful in constructing a system to predict the result of sports game and analyze the performance of player based on the Technical statistics. We First use hidden markov models to predict the momentum which is defined as the performance of players. Then we use Xgboost to prove the significance of momentum. Finally we use …
abstract analysis analyze arxiv cs.lg game machine machine learning match paper performance series sports technical tennis theory time series type
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