Fielding Independent Pitching stat...

[ScreaminPain]

I'm reworking a modeling program for MLB, and trying to upgrade to the use of sabermetrics as a tool. So far, things are working but I'd like some input about the use of DICE figures from those who may use them.

My question is this.
I'm using a fielding independent stat, DICE, for computation as a stat for Overall pitching, H/A pitching, and Last 3 gm pitching. These 3 stats are then averaged with a weighting method, that then gives me a DICE stat for that pitcher (Yes, I know I've omitted a Day/Night stat, but I'm fine with that.) Now, what weighting would work the most efficiently for the 3 stats I've got.

I'm currently using the following:
Season Overall: 3*
Home/Away 1.5*
Last 3 gms. 2.5*
...this divided by 7

I've never read anyones philosophy on weighting pitching stats, but I'm curious as to how others evaluate pitching when using different parameters.

[uva3021]

best way to weight is to do a regression analysis, find the correlation and adjust the variables to the overall total, then readjust so the numbers can all be set to add up to 1

then you can do a weighted average via base 100

use the lahman database or retro sheet to extract the data, enter formulas, and find the best correlations and between Wins, ERA, and other variables

[IrishTim]

Originally Posted by uva3021

best way to weight is to do a regression analysis, find the correlation and adjust the variables to the overall total, then readjust so the numbers can all be set to add up to 1

then you can do a weighted average via base 100

use the lahman database or retro sheet to extract the data, enter formulas, and find the best correlations and between Wins, ERA, and other variables

Bingo.