The purpose of this thread is to present ideas and data that may help to eventually refine adjusted statistics, primarily adjusted scoring. Any ideas or data that might assist in this process is welcome. However, this is a thread for those who understand the basic reasoning behind adjusted data and have ideas or information that may help refine it further. This is not a thread to debate the merits of adjusted data as opposed to raw data. It's understood that there are many who see no value in adjusting data at all and many of those will refuse to use any type of adjusted data in their evaluations, instead sticking with raw data. That is fine, but please let's not turn this into a debate as to whether there is any value at all in adjusting data. While data from any league of any era might be relevant, I would suggest primarily focusing on data from the NHL since WWII, as that seems the most reliable data.