Cricketing Insights Unveiled: Python-Based Information Extraction from IPL by Kubra Bashir, Afsheen Maroof, Fatima Maqbool, Kiran Bashir, Syeda Iqra Hassan

Subjects: Get full text

A Spatiotemporal Graph Transformer Network for real-time ball trajectory monitoring and prediction in dynamic sports environments by Zujian Li, Dan Yu

Subjects: Get full text

Real-Time Football Match Prediction Platform by An Zhongqi

“…The integration of real-time data into sports analytics has significantly enhanced the accuracy of football match predictions, which is vital for team management, tactical planning, and commercial applications *such as sports betting. …”
Get full text

Assessing the effectiveness of fuzzy logic-based models for predicting sports event outcomes: A CRITIC-VIKOR approach. by Taibo Liu

“…The study recommends incorporating this integrated model into sports analytics for better team management and sports betting decision-making.…”
Get full text

Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…Human activity recognition (HAR) systems are essential in healthcare, surveillance, and sports analytics, enabling automated movement analysis. …”
Get full text

Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

“…The research demonstrates the power of machine learning in improving prediction accuracy, providing insights for future sports analytics, and offering a foundation for integrating more complex data like player metrics or strategic factors. …”
Get full text

An integrated dataset of spatiotemporal and event data in elite soccer by Manuel Bassek, Robert Rein, Hendrik Weber, Daniel Memmert

“…This dataset supports the validation of existing analytical techniques and facilitates the development of new methodologies in sports analytics. With availability under CC-BY 4.0, it promotes transparency, reproducibility, and the idea of open science in match analysis research.…”
Get full text

EITNet: An IoT-enhanced framework for real-time basketball action recognition by Jingyu Liu, Xinyu Liu, Mingzhe Qu, Tianyi Lyu

“…Integrating IoT technology into basketball action recognition enhances sports analytics, providing crucial insights into player performance and game strategy. …”
Get full text

Prediction of Outcomes in Sports Under Probability in Kigezi Region. by Masereka, Jairus

“…The study objectives were to identify the effect of poor prediction of sports results on the coaches and the entire team and to find out the role of Probability in Sports Analytics. The study used purposive and random sampling in selecting respondents. …”
Get full text

Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics by Lei Jiang, Zhihong Yang, Lei Gang

“…The integration of advanced computing technologies has opened new avenues in sports analytics, enabling data-driven methods for performance monitoring and strategy development. …”
Get full text

Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition by Shun Yao, Yihan Ping, Xiaoyu Yue, Xiaoyu Yue, He Chen, He Chen

“…IntroductionAccurate recognition of martial arts leg poses is essential for applications in sports analytics, rehabilitation, and human-computer interaction. …”
Get full text

The wearable landscape: Issues pertaining to the validation of the measurement of 24-h physical activity, sedentary, and sleep behavior assessment by Marco Giurgiu, Birte von Haaren-Mack, Janis Fiedler, Simon Woll, Alexander Burchartz, Simon Kolb, Sascha Ketelhut, Claudia Kubica, Carina Nigg, Irina Timm, Maximiliane Thron, Steffen Schmidt, Kathrin Wunsch, Gerhard Müller, Claudio R. Nigg, Alexander Woll, Markus Reichert, Ulrich Ebner-Priemer, Johannes BJ Bussmann

Get full text

“Play by play”: A dataset of handball and basketball game situations in a standardized spaceZenodo by Bruno Cabado, Bertha Guijarro-Berdiñas, Emilio J. Padrón

“…We refer to this standardized coordinate space as the 'unified space'.The dataset holds significant potential for reuse in various domains related to sports analytics and machine learning research. It can serve as a valuable resource for researchers, coaches, and sports enthusiasts, contributing to improvements in player performance, game strategies, match retransmissions, and sports-related technologies.…”
Get full text

Real-time mechanism-based interventions for daily alcohol challenges: Protocol for ecological momentary assessment and intervention by Shuyan Liu, Matthias Haucke, Rika Groß, Kay Schneider, Jaekyung Shin, Fabian Arntz, Patrick Bach, Tobias Banaschewski, Christian Beste, Lorenz Deserno, Ulrich Ebner-Priemer, Tanja Endrass, Marvin Ganz, Ali Ghadami, Marco Giurgiu, Andreas Heinz, Falk Kiefer, Reinhold Kliegl, Bernd Lenz, Marta Anna Marciniak, Andreas Meyer-Lindenberg, Andreas B. Neubauer, Michael Rapp, Michael N. Smolka, Jens Strehle, Rainer Spanagel, Gianna Spitta, Heike Tost, Henrik Walter, Hilmar Zech, Dominic Reichert, Markus Reichert

Get full text