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10-31-2012, 03:38 PM
#128
Iain Fyffe
Hockey fact-checker

Join Date: Feb 2009
Location: Fredericton, NB
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Quote:
 Originally Posted by Rhiessan71 The first and by faaaar the biggest issue, is how they are used far too often by far too many.
This would be an issue with the people using them, not with the stats themselves, wouldn't it?

Quote:
 Originally Posted by Rhiessan71 Sorry but how I said they do it is almost EXACTLY how they do do it.
Or, ALMOST exactly. When exactly is attainable.

Quote:
 Originally Posted by TheDevilMadeMe Yeah, in a league that is larger than 6 teams, removing the player himself from the average makes so small a difference, it might as well not be there at all.
This is essentially true. Of course adjusted scoring is not only applied in such circumstances.

Quote:
 Originally Posted by Rhiessan71 Not to mention that Gretzky is actually getting punished more than anyone else because the more he scores, the lower the average gets when his points are removed.
You've got this exactly backwards. The Nilan/Gretzky thing is a fluke result, likely resulting from the fact that results are rounded off. The higher-scoring a player is, the less he will be adjusted downward as a percentage. That's just how the math works in this case.

Quote:
 Originally Posted by Rhiessan71 Please, for the love of god, show me how it helps Gretzky when his points are being multiplied by a lower number than Nilan's are? Seriously!
It's a fluke. If you understand how the math works, it can't be anything other than a fluke. Dave Semenko is adjusted down to 77.8%, so it's clearly not a result of lower scoring players being adjusted less.

Quote:
 Originally Posted by Rhiessan71 The pie %'s will change because you are attempting to pull everything towards the average and you know what, there actually is a term used to describe this phenomenon...it's called NORMALIZATION!
The claim that everything is pulled toward the average is incorrect. Players with zero goals will always have zero adjusted goals, and in a season all players are either adjusted up or all players are adjusted down. That is, some will be pulled toward the mean and some will be pushed away from it. This is not normalization.

Quote:
 Originally Posted by Czech Your Math Also, as Iain has pointed out in response to Dalton's incessant use of power distributions and such, normalization has to do with the shape of the distribution. If a process (such as simple adjusted stats) affects all players roughly equally, then it won't change the shape of the distribution, it will only change the individual magnitudes for each player (but they will maintain the same proportional value to one another).
Like he said.