Baseball math

People love math. They love the objectivity, the specificity and the incredibly convoluted yet patterned and predictable answers that numbers provide. People feel comforted by numbers, wowed by the information they can provide, and interested in manipulating them in as many was as possible.

I am not one of those people.

So you can imagine how difficult it is, even considering my rabid passion for baseball, to delve into sabermetrics–because in the heart of my favorite subject lies an ever growing and ever important trove of insightful information based in my least favorite thing…math.

Up until now, I have mostly focused on the few numbers I understand: BA, ERA, OPS, etc. In other words, the old stats. I have explored, though hesitantly, fielding shifts, WAR and various StatCast home run speed/distance statistics–but I am hardly a regular visitor of FanGraphs.com.

And then I wrote a column last week about fatigue in the Cubs pitching staff following their World Series Championship year, and I just didn’t have the evidence that many baseball fans expect today. Though I included what I believed to be important stats, I was lacking in saber metrics, and my writing suffered.

It isn’t that people like me do not understand baseball, or the statistical direction in which baseball is moving. It’s just that we don’t like math.

So, in an effort to expand and share my knowledge of sabermetrics, I have decided to write one post a week explaining a different sabermetric. Look out for my first post next week!

I can’t believe I’m saying this, but let’s go do some math.