I think some of the predictive stats penalize a pitcher like Deduno, who has good movement. They may not get a ton of K's, but players don't square them up. Allow me to provide one, extreme example: Mariano Rivera towards the end of his career. Notice the huge gap between ERA and xFIP. [TABLE=width: 192] [TD=class: xl65, width: 64, bgcolor: transparent] [/TD] [TD=class: xl65, width: 64, bgcolor: transparent]ERA[/TD] [TD=class: xl65, width: 64, bgcolor: transparent]xFIP[/TD] [TD=class: xl65, width: 64, bgcolor: transparent]K/9[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2010[/TD] [TD=class: xl66, bgcolor: transparent, align: right]1.80[/TD] [TD=class: xl65, bgcolor: transparent, align: right]3.52[/TD] [TD=class: xl65, bgcolor: transparent, align: right]6.75[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2011[/TD] [TD=class: xl65, bgcolor: transparent, align: right]1.91[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2.64[/TD] [TD=class: xl65, bgcolor: transparent, align: right]8.8[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2012[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2.16[/TD] [TD=class: xl65, bgcolor: transparent, align: right]3.48[/TD] [TD=class: xl65, bgcolor: transparent, align: right]8.64[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2013[/TD] [TD=class: xl65, bgcolor: transparent, align: right]2.11[/TD] [TD=class: xl65, bgcolor: transparent, align: right]3.09[/TD] [TD=class: xl65, bgcolor: transparent, align: right]7.59[/TD] [/TABLE] Career 2.20 ERA and xFIP of 3.00.