Extracting eye movement events from raw data has become important upon the introduction of affordable eye trackers. The common approach in current algorithms is that they take into account velocity and position information separately. In this paper, we analyze the pros and cons of the current algorithms and introduce a novel algorithm based on the distribution of raw eye movement data.