Two years ago, the Baltimore Orioles gave a middle finger to the concept of regression to the mean. For six months, they won game after game by a single run, relying on a bullpen that posted the highest WPA in history to make the postseason despite the skepticism of sabermetric writers everywhere, including here on FanGraphs. The story of their season was essentially told in two numbers: 93-69 record, +7 run differential. To O’s fans, it was a fantastic season, but to writers like those found here, it was essentially a fluke.
The 2012 Orioles were a decent team that managed to distribute their runs in about the most effective manner possible, but there’s just no evidence to suggest that this is a repeatable skill over significant periods of time. And sure enough, after going 29-9 in one run contests in 2012, the 2013 Orioles went 20-31 in games decided by a lone run. For one year, the Orioles defied the odds, but as we’d expect, they couldn’t get that to carry over into the next season, and they won eight fewer games despite playing basically at the same level as the previous year.
But now, it’s 2014, and the Orioles are doing it again, though not quite to the same degree. Their 24-17 record in one run games isn’t quite so crazy, but they are outperforming what context-neutral models would suggest based on their overall performance to date. As Jeff noted, the Orioles are #2 in Clutch performance this year, winning five more games than their underlying statistics would have suggested. And once again, their bullpen leads the Majors in WPA, though it’s not quite the historical performance of two years ago.
And while Orioles fans may have been able to accept random variation as the explanation for 2012, the fact that they’re doing it again just two years later leads to suspicion that perhaps the Orioles — or maybe just Buck Showalter — have figured out how to game the system. A few comments I received yesterday, both in my chat here and on Twitter.
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