Analysing and monitoring the performance of football players is not something new in the world of football. Having to analyse and monitor the player’s performance, the coaching staff and manager can see the player’s development and at the same time the training drills can be more effective. There are three main player’s attributes that coaching staff and manager need to monitor, which are speed, acceleration, and stamina. The system available today does not represent the player’s performance for each of the attributes in terms of values. This project is aiming to design and develop a system that can analyse and monitor the football player’s performance using micro-electronic technology (MEM) like accelerometer and gyroscope. There will be two microcontrollers that are responsible for controlling the interaction between other components and uploading the collated data into cloud storage. This project will use the ThingSpeak platform to generate the player’s development graph. This platform is available in the form of websites and smartphone applications. By implementing IoT into the system, the coaching staff and manager can monitor the player’s development anywhere at any time. The system is successfully read and analysed the player’s attributes performance for speed, acceleration, and stamina in form of values and graphs where at the same time the project is also capable of analysing the player’s penalty kick technique.
