Often times when a rookie has a successful season they regress by some standard in their second season. It may be due to the league adjusting, an analytical regression to the mean, or a combination of the two. Let’s start with the analytics of Keston Hiura‘s rookie season.
Two stats I want to focus on for Hiura are BABIP (batting average on balls in play) and ISO (essentially a batters raw power numbers).
Why look at Hiura’s BABIP?
BABIP certainly has a luck factor to it, but additional factors, such as hard hit percentage and exit velocity, play a role.