Adjusted stats - how valuable?
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11-03-2012, 11:26 AM
Join Date: Jul 2010
Originally Posted by
I realise this, you realise this and there are more than just a few others that understand this but...
I couldn't even begin to tell you how many times, in the numerous Bourque vs Lidstrom threads, that AS's are used at face value, at the exclusion of any other evaluations, to say that Lidstrom was Bourque's equal or almost equal offensively.
There were/are even a select few that swear Lids was better offensively based solely on AS's.
Well those people, if they even exist in reality, would be incorrect as Bourque holds the advantage in Adjusted stats, which would make sense since he was the better offensive player.
There are flaws in AS's and those flaws vary in intensity for different players through different era's.
There will be times where AS's are almost bang on, other times where they are off but you can usually see why and other times where they are a total train wreck.
Point is, the VALUE of AS's is going to vary and they should never be used exclusively or even be referred to as an "alternative".
These flaws you talk about only seem to exist in your mind as how Adjusted stats don't show the dominance , that you see with your favorite guys, rather than a real mathematical or systematic one.
Even when I was showing how they seem to be quite off in regards to Bourque and Lidstrom's non-shared years, I still didn't dismiss them completely or not allow for some of their weight to still apply.
Why is the reverse not true far too often in regards to other data like raw data. Maybe raw data is also quite off in other cases as well but it should still never be completely dismissed IMO.
You didn't actually show that AS was off, it's still the same relationship to other players in those years as to their team situations, since everything is the same relationship wise as raw stats are.
At the end of the day Adjusted stats are quite use full for those with an open mind and actually want to compare players from different eras statistically.
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