Billiards Sports Analytics: Datasets and Tasks
Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu

TL;DR
This paper introduces a new billiards sports dataset with ball layouts, trajectories, and statistics, and develops techniques for prediction, generation, and retrieval tasks to aid players, coaches, and fans.
Contribution
It provides the first publicly available billiards dataset and proposes novel methods for analysis tasks specific to billiards sports.
Findings
Methods perform effectively on dataset
Techniques enable prediction and generation of layouts
Retrieval system aids in identifying similar billiards configurations
Abstract
Nowadays, it becomes a common practice to capture some data of sports games with devices such as GPS sensors and cameras and then use the data to perform various analyses on sports games, including tactics discovery, similar game retrieval, performance study, etc. While this practice has been conducted to many sports such as basketball and soccer, it remains largely unexplored on the billiards sports, which is mainly due to the lack of publicly available datasets. Motivated by this, we collect a dataset of billiards sports, which includes the layouts (i.e., locations) of billiards balls after performing break shots, called break shot layouts, the traces of the balls as a result of strikes (in the form of trajectories), and detailed statistics and performance indicators. We then study and develop techniques for three tasks on the collected dataset, including (1) prediction and (2)…
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Taxonomy
TopicsSports Analytics and Performance · Time Series Analysis and Forecasting
