On Thursday, I posted an update on three American League rookie pitchers, including Seattle phenom Michael Pineda. One of my criticisms of Pineda was his 56% fly ball rate at the time, which should lead to lots of home runs, despite the fact that he had yet to give up even one long ball. One of the commenters noted Pineda’s fantastic average fastball velocity, currently sitting at 96.1 MPH, and opined that it will be more difficult for hitters to homer off of him, leading to a sustainable depressed HR/FB ratio compared to the league average. Not satisfied with just taking his word for it, I decided to test this hypothesis.
Using what limited knowledge I still retain from my college statistics class, I calculated the correlation between a pitcher’s fastball velocity and his HR/FB ratio. My sample size totaled 226 pitchers from 2001-2010 with a minimum of 500 innings pitched, and included both starters and relievers. Park adjustments or any other such fixes to make the study more accurate were not made. The correlation between the two variables was -.29. Below is a scatter plot of the data with the trendline.
There is a clear positive relationship between higher fastball velocity and a lower HR/FB ratio. This makes intuitive sense, so that is always a good sign. It appears that the commenter may be on to something that may help explain at least some of the differential between an outliers’ HR/FB ratio and the league average.
Over the years, there have been many formulas devised to estimate a pitcher’s ERA based on true talent, defense independence or only factors that are supposedly within the pitcher’s control. However, none of these ERA estimators include anything relating to pitch velocity or pitch type. This data is easily accessible and it does not seem like it would be too difficult to include it in future iterations of these formulas.