As arbitrary mathematical endpoints go, game 32 of the major league season marks about one-fifth of the year gone by, and it’s time to start thinking about what could be going better.
That’s not to say that any statistics based on 100 at-bats should be validated, and that’s actually the point. There are plenty of things that have happened that are due to be reversed just by virtue of batted-ball luck and players finding their career form after dipping far below it early in the season.
This edition of five stats that stand out highlights five regression candidates for the Orioles — good and bad — and which aspects of their performance just don’t seem to be jibing with what’s expected.