The following project stands to solve data overload situation after Isle of Man Tourist Trophy tests and races. Engineers have to deal nowadays with too much data to be effectively analysed. This project is done for Honda Road Racing team and under their specs.Main objective is to develop a tool capable itself to point out in which sectors analysed rider is losing most of performance, avoiding the situation where engineers should compare and analyse the whole lap. Bearing in mind the 80/20 rule, vastly applied in Honda Corp. methodologies, which states that generally 80% of all effects result from 20% of all causes.Moreover, tool is designed to be almost fully autonomous since data is imported, as well as be able to store all previous imported laps and generate the team’s ideal lap, selecting and adding the best times for each section.Previously to tool development, thought, intensive literature review has been undertaken, studying and learning about data acquisition, bike dynamics, Tourist Trophy differential characteristic and Pareto’s law theory (also called 80/20 rule). Despite literature research provided a good understanding of basics for the project, most new knowledge obtained comes from dealing with real-world data acquisition troubles and statistics background. Work with MoTeC to export data instead of analyse it is something new that was not studied or practised in master’s degree, same issue is found with statistical approach. Programming skills are also needed for this project, programming with VBA language is found as something really useful for future applications.Finally, despite having some limitations, tool has proved to achieve the proposed objectives, being user friendly, simple but helpful analysis software for Honda Road Races team. From now on, race engineers could use it to quickly focus where biggest improvements can be achieved, revolutionizing debriefing methodfrom passive to active analysis.