Who here uses advanced metrics in capping MLB?

[vitalogist]

I've been all over these in the past weeks and my bankroll has benefited greatly. Looking at numbers like:

FIP
xFIP
BABIP
Walk / Strikeout ratios

Along with the ZiPS projections at fangraphs.com, you can really find some nice value out there fading the public who is laying heavy chalk and looking at numbers like ERA to evaluate pitcher's performance.

If you use these metrics, which ones do you use, and how do you use them in conjunction with each other in coming to your conclusions?

[uva3021]

i use a combination of xFIP, FIP, ERA/WHIPx, xERA, and a projected ERA based on running a regression model with the lehman database using FIP and xERA, then weight all the following concomitantly with the pitcher's average line, and come up with a line that way

if you just use ERA you'll get some lines taht are like -1500 because there may be a 5 run difference, but by season's end, and running some sort of regression, the era tightens up

i've been able to get down to a 3-5% RMSE with a .92-.93 correlation coefficient when compared to Pinny's openers running my model, which filters the plays that have value

[Doug]

Xera looks interesting

http://www.xera-baseball.com/

[MadTiger]

i use a combination of xFIP, FIP, ERA/WHIPx, xERA, and a projected ERA based on running a regression model with the lehman database using FIP and xERA, then weight all the following concomitantly with the pitcher's average line, and come up with a line that way if you just use ERA you'll get some lines taht are like -1500 because there may be a 5 run difference, but by season's end, and running some sort of regression, the era tightens up i've been able to get down to a 3-5% RMSE with a .92-.93 correlation coefficient when compared to Pinny's openers running my model, which filters the plays that have value

Great post.

[craigpb]

Look at these when looking at a game. Are definitely better than ancient formulas most look at.