In multi agent environments or systems equipped with artificial intelligence it is often difficult to obtain the function or method which led to a particular behavior that is noticeable from outside. However, this information is crucial if not necessary to optimize the agents behavior. In the RoboCup 3D simulation league this dilemma becomes obvious when replaying logfiles of a game that was simulated before. The 3D soccer simulation league monitor (rcssmonitor-lite) is restricted with regards to replaying logfiles. This paper describes the concept and the implementation of improvements for the logplaying and analyzing abilities of the monitor. The idea is to provide a tool that is able to assist developers to detect problems of their agents both in single and cooperation mode.