
Sports Analytics
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This book LNCS 15925 constitutes the refereed proceedings of the Second International Conference on Sports Analytics, ISACE 2025, held in Shanghai, China, during September 26-27, 2025.
The 21 full papers were carefully reviewed and selected from 57 submissions. These papers explore the frontiers of sports analytics, which is an interdisciplinary field that integrates artificial intelligence, data science, psychology, and smart devices to enhance athletic performance, strategy, and decision-making.
More details
Other editions
Additional editions

Content
Fractal Analysis of Ball Movement Maps for Team Performance Evaluation in Association Football.- YOCO-Sport: An end-to-end framework for deep learning-based camera calibration from sports broadcast footage.- One-shot Team Recognition and 3D Pose Estimation of Cyclists for Augmented Reality Visualization.- How Do Football Teams Play? A Deep Embedded Clustering Approach to Reveal Playing Styles.- Construction of Sports and Exercise Knowledge Graph.- Personalised Running Coaching with Next-Generation Wearable Technology.- Does Wellness Predict Performance? Player-Specific Insights from Daily Monitoring in College Men's Soccer.- Locating Tennis Ball Impact on the Racket in Real Time Using an Event Camera.- An Analysis of Differences in Golf Performance between Age Groups for the Development of an XR Metaverse Platform and Content for Inclusive Digital Leisure.- Scalable Tactical Tennis Insights: Hybridizing Automated Reports and LLM-Powered Analytics.- Analyzing Basketball Lineups with MDP Using NBA Statistics and Player Tracking Data.- AI and Data Science in Sports Education.- Examining the Impact of Traffic on Shot Attempts in Ice Hockey.- Predicting Penalty Kick Direction Using Multi-Modal Deep Learning
with Pose-Guided Attention.- A Bayesian Dual-Skill Framework for Roster-Based Cycling Race Outcome Prediction.- Horse ReIDing: Addressing Re-Identification in Horse Racing Scenarios.- Barbell Trajectory Tracking for Performance Analysis During Snatch Movement in Weightlifting.- A Data-driven Imputation Scheme for Cohort Studies: A Collegiate Basketball Case Study.- TANS: A Chess-Inspired Notation System for Strategy Analysis of Tennis Games.- Agentic Generative AI for Media Content Discovery at the National Football League.- Probabilistic Action Modeling for Tactical Training in Handball.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.