Playing ball . . .

. . . and measuring it as well.

I'm not a stat head by any means, but there's no denying that sabermetrics has enriched baseball over the past several decades.

Fivethirtyeight published a good overview of the way the science of baseball is continuing to change; the implications go far beyond the sport.

Here's an excerpt; if you're interested in baseball, or even human performance metrics or science, check out the entire article:

What many of these new data sources have in common is an emphasis on process. Outcomes — strikes, walks, home runs and so forth — are already well-tracked and have been scrutinized by sabermetricians for decades. But the new generation of data will allow analysts to understand how those outcomes are generated, perhaps even down to the level of a player’s brain activity. Some of this process-oriented data challenges cherished analytics theories like DIPS; some of it confirms the utility of sabermetric dogma like shifting. And some of it will probably advance our understanding of baseball in ways we can’t yet predict.