Frozen Tools Forensics: How predictable are game-winning goals?

Chris Kane

2020-05-08

The Big Board report is a treasure trove of useful information. This week I was scanning over the columns represented and game winning goals (GWGs) caught my eye (mostly because Leon Draisaitl has 11 on a shortened season and was at the top of the list). GWGs are a bit of an enigma. They are usually a very small sample, seem hard to repeat, and impossible to predict. Playing mostly categories leagues, GWGs are very frustrating and very random. In points leagues though the little extra credit for the game winner adds some excitement to the moment. So this week:

Game Winning Goals: Enigma or Just a Small Sample Size?

To look at this we start with the Big Board report. We have used it before, but as a quick refresher once exported it looks a little something like this (with a bunch of more columns that won't fit well here).

 

  Name Pos Age Team PTS GP G A GWG PPP PPTOI %PP TOI SOG
1 LEON DRAISAITL C 24 EDM 110 71 43 67 11 44 3:51 87.1 22:37 218
2 CONNOR MCDAVID C 23 EDM 97 64 34 63 7 43 3:53 87.3 21:52 212
3