Well, my feeble little mind has been continuing to work through the problem of measuring risk in Player Evaluation.  Over the last couple of days, I have had a BFOTO.  Blinding Flash Of The Obvious.
Projections are screaming out for 
MULTIPLE REGRESSION ANALYSIS.  MRA takes a number of explanatory variables (i.e. last season's results, new coach, etc.) and calculates their effect on a dependent variable (i.e., upcoming season's performance).  It gives you an exact equation and tells you how much error is left unexplained by those variables.  It makes so much sense that I can't believe it hasnt been done by tons of people.  I just googled it and didnt find anything.  I am truly amazed by this.  I also googled MRA and here is a decent link that explains it in more detail.  
Clicky
This tool could be used for both annual projections as well as weekly projections.  It will take some work to play around with determining reasonable explanatory variables.  But it should be doable.  I just looked in Excel, and my older version can handle 16 explanatory variables.  That should be more than plenty to get us started on getting some reasonable estimation formulas.
What does everyone think of this?
I would be willing to play around with the data.  But can someone point me to where I can get good data to use in Excel?
Regards