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09-23-2012, 10:02 AM
  #42
Iain Fyffe
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Quote:
Originally Posted by Dalton View Post
I am not trying to explain it. I am just pointing it out. For my purposes the reason why doesn't really matter.
It very much does matter, if the reasons turns out to be simple random variance.

Quote:
Originally Posted by Dalton View Post
I think breaking things down by position, TOI, etc is premature at this point. I am slowly collecting data to compare seasons and see if my idea has value in comparing players across seasons and eras.
If you're still collecting data perhaps you should stay away from declarations that other methods don't work, and your idea is better. With more data perhaps your method won't work either.

TOI may be important because you're working with raw numbers, which are heavily influenced by ice time. Have you at least considered games played, if not ice time? If your top 5% sees their percentage of goals increase by 3% from the previous year, and it turns out that the same group also received 3% more ice time (or played 3% more games) than the previous year, that explains something.

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