--- In APBR_analysis@yahoogroups.com
, igor eduardo küpfer
> Perhaps the Pythag would be informative here. Using Tim Duncan as an
> OffPts DefPts Min Win% W-L
> OnCourt 97.0 88.9 3151 75.6% 50-16
> OffCourt 91.7 97.9 775 29.9% 5-11
> 50-16 is a number people can easily understand, while points scored and
> allowed appeals only to us statheads :-)
> BTW DeanO: how do your individual win numbers match up to these?
I post 3 versions of individual win-loss records. The version that
Roland posts -- how many games that person's team outscores the
opponent when the player is on the court -- is most like the first
listed there, I believe because players on good teams generally look
pretty good. Roland's is better than what my first one does. Method
2 shown on my page is one of my favorite tools because it indicates
how well players do their roles. For some players, I think it is
similar to Roland's, especially the better players (Duncan 58-23 by
Roland and 62-19 by me). Method 3 of mine is applying Pythagorean
methods to individual offensive and defensive ratings, which is more
answering the question you raise. It looks, however, to estimate how
many games a player contributes to, so how many wins can they add.
Duncan comes out at 15.9-1.0 (.941), so it's not comparable in
I think it's key to note that all these interpretations of an
individual's win-loss record are fair. The one Ed coins is
interesting. The one that Roland has should be similar to Ed's
(theoretically, they should be very comparable), but I haven't checked.
> I have a few other suggestions. I'll send them off list.
That data set could lead to a flood of ideas on what to do with it.
How many years of pbp's do you have?