The use of robotics and its involvement in sports is highly contingent to the object detection concept. Particularly, this is required for cricket ball tracking in the field of sports analytics. Firstly, you need to know how to annotate an object with a bounding box in either an image or a video. In order to do this, one must have some basic knowledge about object localization to begin with. Object detection aims to fulfill the requirements as it would discover multiple items altogether. This has found its place also in a few areas like sports for more reasons other than to just peak fan interest and interpret performance outcomes. YOLOv5, or You Only Look Once version 5 is a popular object identification method that hits the right balance between speed & accuracy in real time applications like cricket ball tracking, a video which is its significance. This study is going to show the precision and effectiveness of YOLOv5 in identifying and track coveting the cricket ball amid different ambiences. The plan visualizes how the algorithm can provide the needed solution for sports analytics through tracking cricket balls using YOLOv5. The purpose of this initiative is to develop sports analytics tech forwardly giving access of real time data to the coaches, players, and commentators to analyze the performances on the go.