Originally posted at Hockey in Society.
It’s been remarkable to see how quickly the field has developed over the past few years. The amount of new information being derived from hockey analytics has grown and continues to be discussed across a large and diverse online community. And while the focus has rightfully been on the hockey data and extracting meaningful patterns, it’s important to assess some of the foundational concepts that have supported the development and growing popularity of hockey analytics.
Analytics in any industry is a continuous process. Regardless of what patterns are found, new questions will arise to continue advancing the discussion initiated by analytics. Hockey analytics is no different as it really is a never ending process to uncover, share and build upon new information. Because it pertains to professional hockey, there is new data available almost every day and involves analysis from anyone that’s interested in the topic. The game itself, including the off-ice business (i.e., trades, free agency, draft) is highly chaotic and at times unpredictable.
Related: Importance of Hockey Analytics – Hockey in Society (2012, June 11)
What makes hockey analytics, or any sports analytics unique, is that it’s being done in an open environment that allows for anyone with basic analytic and communication technology tools to join the discussion. Using blogs and Twitter, participants have created a very collaborative environment that supports discussion and the continuous extension of ideas and information.