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In the way of achieving maximum performance of a racecar several aspects of it have to be optimized. The whole picture of vehicle performance involves crossing data to find relationship among systems and identifying trends, pitfalls and optimum points. In this paper, a straightforward software tool for tire data analysis is developed and described. The software aims to integrate tire data analysis in early stages of the development process of a Formula SAE racecar. In addition, it is thought to be a learning environment to fresh team members. To establish and achieve the necessary goals, an affordancebased model was used to elicit user needs. Regarding the tires, it was possible to precisely point out what data is required to quickly fit a Pacejka tire mode and to cross raw tire data of different tires and preview the steady state balance of a vehicle.