In the competitive context of motorsport, it is important to take decisions quickly and effectively to optimize the performance of vehicles on the track. Modern racing motorcycles are equipped with several sensors that generate telemetry data for performance analysis. During a riding session, many actions and events occur, including riding maneuvers, vehicle movements and unexpected situations. A variety of behaviors must be identified and interpreted. Furthermore, telemetry channels are inherently time-dependent and each of them is correlated with the others. The result is a set of multiple signals with additional complexity that must be inspected together. These factors make the work of experts a time-consuming and demanding process.