Analytics, Coaching Tactics, and Observable Results

Today the Carolina Hurricanes officially announced that Eric Tulsky has been hired in the position of “Hockey Analyst” with his role being defined as follows: As Hockey Analyst, Tulsky will provide and analyze data to assist the hockey operations department and coaching staff. The official announcement also mentioned that Tulsky had worked for the team last season on a part-time basis which we already knew. For me the interesting thing…

August 20, 2015
Read More >>

Order from Randomness?

If you want to claim that a piece of data is random, then there must be no identifiable patterns within it for if there are, then the data is not random. For example one can easily look at a long-term list of forwards sorted by on-ice shooting percentage and clearly see that it is not random. The top of the list is dominated by everyone we would identify as elite offensive forwards and…

August 10, 2015
Read More >>

Score Effects, Save Percentage and Brandon Sutter

Score effects are a well known and well understood observation in hockey analytics. Essentially what score effects tell us is teams play differently depending on the score and in turn the resulting statistics are altered because of it. To keep this simple, in general teams that are leading give up more shots, but a smaller percentage of them end up as goals (they also take fewer shots but a higher…

August 9, 2015
Read More >>