Reexamining the Mets, or When One Game Might Mean Something
Anyone who has ever studied statistics generally, and sabermetrics or other analytics specifically, will have at least a passing familiarity with the idea of sample sizes. I’m not a sabermetrician – nor do I play one on TV – but you can’t be a good trial lawyer without at least a decent understanding of statistics. And regardless of the statistic, it’s generally true that one game isn’t really all that useful. I mean, it’s useful in the sense that being entertained is useful, but it’s usually not useful in the sense that you can determine talent levels from it.
Enter the Nationals and Mets. They are both, in theory, Major League Baseball teams. They both play on the East Coast. And on July 31, as major league teams are wont to do, they played a baseball game. And when they were done, this had happened.
The final: Nationals 25, Mets 4
The goat: Abner Doubleday for inventing baseball
The stat: Worst loss Mets history
The streak: L1
The record: 44-60
The 162-game pace: 69-93
The emoji: ?????— Anthony DiComo (@AnthonyDiComo) August 1, 2018
And as you might expect for a team that scored 25 runs, a lot went right for the Nationals. Daniel Murphy had three hits, hit two homers, and drove in six, yet had just a 0.10 WPA, because that’s what happens when your team scores 25 times. Tanner Roark, the Nationals’ starting pitcher, tossed seven innings of one-run ball and had two hits, including a bases-clearing double. Matt Adams and Mark Reynolds both homered for Washington, and neither of them even started the game. The Nationals walked eight times, had a hit batsman, racked up 26 hits and, as a team, hit .520/.593/1.000, which, in case you were wondering, comes out to a 311 wRC+ and a .646 wOBA. In other words, the Mets’ pitching staff allowed eleven more batters to reach base (35) than they got outs (24).