This repository contains Jupyter notebook tutorials showcasing computer vision applications in sports analytics. It demonstrates player tracking using YOLOv5 combined with ByteTrack for multi-object tracking, and 3D pose estimation using YOLOv7 for analyzing player positioning. The experiments are applied to football/soccer footage for applications like VAR offside analysis.