The evaluation of player performance is an important topic in sport analytics and is used by coaches for team management, in scouting and in sports broadcasts. When evaluating the performance of ice hockey players many metrics are used, including traditional metrics such as goals, assists, points and modern metrics such as Corsi. One weakness of such metrics is that they do not take into consideration the context in which the value for the metric was assigned. For instance, when a player scores a goal, then the value of the goals metric for that player is raised by one, regardless of the importance of the goal. In this paper, we introduce new variants of classical metrics based on the importance of the goals regarding their contribution to team wins and ties. Further, we investigate using play-by-play data from the 2013-2014 NHL season how these new metrics relate to the classical metrics and which players stand out with respect to important goals.