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Pythagorean Theorem for Expected Win %

I was just curious to see how one of Bill James' formulas would apply to hockey so I plugged in the top 16 teams in the NHL in points to see if there was anything interesting.  (For those that don't know the theorem, it just takes runs/goals scored and allowed to come up with how many wins that team could expect to have)

Here the teams are listed in order of points, next to the team is an expected WIN % based on goals scored/allowed.  (Yes I know its messy with OT points being available but I still think its interesting)

TEAM EXP WIN %
SJ        65.6%
CHI      68.4%
WAS     64.7%
NJ        61.6%
BUF     59.2%
PHX     52.2%
PIT       55.4%
COL     54.2%
VAN      63.1%
NASH   50.7%
LA         52.4%
DET      49.6%
CAL       50.0%
OTT       47.3%
NYR      50.0%
BOS      50.4%

To summarize: There are several teams that have a decent size disparity between expected win % and actual points.   VAN could have expected to be 5 spots higher based on their GF/GA.  BOS could have expected to be 4 spots higher.  Losing the most ground was PHX who would have dropped 4 spots.  Also, the Scum would be 3 spots even lower than they are. 


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