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Sports analytics has been an up-and-coming field of research among professional sporting organizations and academic institutions alike. With the insurgence and collection of athlete data, the primary goal of such analysis is to improve…

Computer Vision and Pattern Recognition · Computer Science 2022-08-12 T. J. Woinoski , I. V. Bajic

Advanced analytics have transformed how sports teams operate, particularly in episodic sports like baseball. Their impact on continuous invasion sports, such as soccer and ice hockey, has been limited due to increased game complexity and…

Artificial Intelligence · Computer Science 2025-03-26 David Radke , Kyle Tilbury

Sports analysis requires processing large amounts of data, which is time-consuming and costly. Advancements in neural networks have significantly alleviated this burden, enabling highly accurate ball tracking in sports broadcasts. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-26 Thomas Gossard , Andreas Ziegler , Andreas Zell

It is challenging to get access to datasets related to the physical performance of soccer players. The teams consider such information highly confidential, especially if it covers in-game performance.Hence, most of the analysis and…

Other Computer Science · Computer Science 2016-03-18 Laszlo Gyarmati , Mohamed Hefeeda

Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive survey of deep learning in sports performance, focusing on…

Computer Vision and Pattern Recognition · Computer Science 2023-07-10 Zhonghan Zhao , Wenhao Chai , Shengyu Hao , Wenhao Hu , Guanhong Wang , Shidong Cao , Mingli Song , Jenq-Neng Hwang , Gaoang Wang

I address the difficult challenge of measuring the relative influence of competing basketball game strategies, and I apply my analysis to plays resulting in three-point shots. I use a glut of SportVU player tracking data from over 600 NBA…

Applications · Statistics 2017-03-22 Bradley A. Sliz

Team-based invasion sports such as football, basketball and hockey are similar in the sense that the players are able to move freely around the playing area; and that player and team performance cannot be fully analysed without considering…

Other Computer Science · Computer Science 2017-04-17 Joachim Gudmundsson , Michael Horton

Recent advances in deep learning have led to more studies to enhance golfers' shot precision. However, these existing studies have not quantitatively established the relationship between swing posture and ball trajectory, limiting their…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Seunghyeon Jung , Seoyoung Hong , Jiwoo Jeong , Seungwon Jeong , Jaerim Choi , Hoki Kim , Woojin Lee

Recently, data mining studies are being successfully conducted to estimate several parameters in a variety of domains. Data mining techniques have attracted the attention of the information industry and society as a whole, due to a large…

Artificial Intelligence · Computer Science 2018-10-31 Robson P. Bonidia , Luiz A. L. Rodrigues , Anderson P. Avila-Santos , Danilo S. Sanches , Jacques D. Brancher

In sports, there is a constant effort to improve metrics which assess player ability, but there has been almost no effort to quantify and compare existing metrics. Any individual making a management, coaching, or gambling decision is…

Applications · Statistics 2016-10-03 Alexander Franks , Alexander D'Amour , Daniel Cervone , Luke Bornn

Badminton is known as one of the fastest racket sports in the world. Despite doubles matches being more prevalent in international tournaments than singles, previous research has mainly focused on singles due to the challenges in data…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Seungheon Baek , Jinhyuk Yun

Any collection can be ranked. Sports and games are common examples of ranked systems: players and teams are constantly ranked using different methods. The statistical properties of rankings have been studied for almost a century in a…

Social and Information Networks · Computer Science 2026-02-04 José Antonio Morales , Jorge Flores , Carlos Gershenson , Carlos Pineda

Understanding the principles of real-world biological multi-agent behaviors is a current challenge in various scientific and engineering fields. The rules regarding the real-world biological multi-agent behaviors such as team sports are…

Artificial Intelligence · Computer Science 2021-06-22 Keisuke Fujii

The task of action spotting consists in both identifying actions and precisely localizing them in time with a single timestamp in long, untrimmed video streams. Automatically extracting those actions is crucial for many sports applications,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Silvio Giancola , Anthony Cioppa , Bernard Ghanem , Marc Van Droogenbroeck

The application of Data Science and Analytics to optimize or predict outcomes is Ubiquitous in the Modern World. Data Science and Analytics have optimized almost every domain that exists in the market. In our survey, we focus on how the…

Machine Learning · Computer Science 2022-09-19 Sachin Kumar S , Prithvi HV , C Nandini

Tracking the ball is critical for video-based analysis of team sports. However, it is difficult, especially in low-resolution images, due to the small size of the ball, its speed that creates motion blur, and its often being occluded by…

Computer Vision and Pattern Recognition · Computer Science 2015-12-02 Andrii Maksai , Xinchao Wang , Pascal Fua

In this work, we present a novel Sports Ball Detection and Tracking (SBDT) method that can be applied to various sports categories. Our approach is composed of (1) high-resolution feature extraction, (2) position-aware model training, and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-17 Shuhei Tarashima , Muhammad Abdul Haq , Yushan Wang , Norio Tagawa

Sports professionals constantly under pressure to perform at the highest level can benefit from sports analysis, which allows coaches and players to reduce manual efforts and systematically evaluate their performance using automated tools.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-03 Yu-Hang Chien , Fang Yu

The increasing demand for analyzing the insights in sports has stimulated a line of productive studies from a variety of perspectives, e.g., health state monitoring, outcome prediction. In this paper, we focus on objectively judging what…

Machine Learning · Computer Science 2021-12-03 Wei-Yao Wang , Hong-Han Shuai , Kai-Shiang Chang , Wen-Chih Peng

Real-time 3D trajectory player tracking in sports plays a crucial role in tactical analysis, performance evaluation, and enhancing spectator experience. Traditional systems rely on multi-camera setups, but are constrained by the inherently…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Ryunosuke Hayashi , Kohei Torimi , Rokuto Nagata , Kazuma Ikeda , Ozora Sako , Taichi Nakamura , Masaki Tani , Yoshimitsu Aoki , Kentaro Yoshioka