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Big data in icy form: The 1980’s

SRS. Why is it potentially useful? Instead of a blind date with (kind of) a single team through the lens of (+/-), I’m going to use SRS to try and manipulate a decade of data. Let’s call it a prism of ”flow”, an amalgamation of strength of record and scoring record.

In the middle of the last century, the NHL was, itself, competing to expand and add teams. If I had to guess, this meant a wider variety of skill levels and environments those teams operated in. So you could say SRS was useful specifically because “strength of record” was an early projection by the league in an uncertain environment of new teams.