What we see definitely backs up the logic:
*Elite one-run game performance appears to be random.
*It is somewhat more predictable when actual talent level is figured in.
*That is, very good teams will do slightly better in close games because they are, well, better, and...
*Very bad teams will also do slightly worse in close games because they are, well, worse.
...
The only things I could think of that may predict one-run game success is a very strong bullpen or an excellent tactician on the bench. The latter is impossible to measure, though I?d guess Buck Showalter falls somewhere short of "master strategist." As for the bullpen, well, I wasn?t going to pull reliever data for 2332 team seasons, but I DID pull it for the last three years (90 team seasons). Bullpen FIP had an 11.5% R2 with one-run game winning percentage, even stronger than the previous year?s Pythagorean winning percentage. It appears bullpen FIP, though not terribly predictive, is at least somewhat of a signal of one-run game capability. Unfortunately for the Orioles, their bullpen was merely average with a 3.68 FIP, so it doesn?t appear they have an edge there, either.
So, all of this is to confirm what we already knew ? the Orioles, despite being a decent team with a decent bullpen last year, played WAY above their heads in one-run games. It?s not even remotely sustainable.