Previous research has studied game achievement with focus on their forming elements, the taxonomic method based on design perspective, studying the relationship between their completion rate with factors including their name and average play time. This research focuses on creating a new taxonomic method on game achievements based on how they get triggered and using it to study the relationship between their completion rate and other factors with the help of data analysis. The result shows that game achievements reflect good intra-group consistency and inter-group differences after classification. And the analysis on their completion rate reveals that game achievement completion rates are correlated with game companies, platforms, their triggers, and player preferences.