Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model

Fuente: arXiv
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Autori principali: Yao, Yi-chen, Wang, Jerry, Lai, Yi-cheng, Chen, Lyn Chao-ling
Natura: Preprint
Pubblicazione: 2025
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author Yao, Yi-chen
Wang, Jerry
Lai, Yi-cheng
Chen, Lyn Chao-ling
author_facet Yao, Yi-chen
Wang, Jerry
Lai, Yi-cheng
Chen, Lyn Chao-ling
contents The topic of aging decline on performance of NBA players has been discussed in this study. The autoencoder with K-means clustering machine learning method was adopted to career trend classification of NBA players, and the LSTM deep learning method was adopted in performance prediction of each NBA player. The dataset was collected from the basketball game data of veteran NBA players. The contribution of the work performed better than the other methods with generalization ability for evaluating various types of NBA career trend, and can be applied in different types of sports in the field of sport analytics.
format Preprint
id arxiv_https___arxiv_org_abs_2509_25858
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model
Yao, Yi-chen
Wang, Jerry
Lai, Yi-cheng
Chen, Lyn Chao-ling
Artificial Intelligence
Machine Learning
The topic of aging decline on performance of NBA players has been discussed in this study. The autoencoder with K-means clustering machine learning method was adopted to career trend classification of NBA players, and the LSTM deep learning method was adopted in performance prediction of each NBA player. The dataset was collected from the basketball game data of veteran NBA players. The contribution of the work performed better than the other methods with generalization ability for evaluating various types of NBA career trend, and can be applied in different types of sports in the field of sport analytics.
title Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model
topic Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2509.25858