Let’s get right down to the question that all baseball analysis is asking at its core: Which of these two players would you rather have on your team, all else being equal?
Two Mystery Players
Player |
AVG |
OBP |
SLG |
wOBA |
Player A |
.319 |
.387 |
.469 |
.371 |
Player B |
.267 |
.328 |
.556 |
.372 |
It’s a close one, right? That’s largely because I decreed it to be so; these aren’t real players, just stat lines I made up that have the same wOBA. Who would you rather have? They’re extremely different, of course; one gets a ton of value from walks and singles, with some doubles sprinkled in for good measure. You can surmise that the other gets a ton of value from home runs — look at that slugging percentage — but does worse elsewhere.
Oh yeah, a few other caveats. These are underlying talent levels; you might look at Player A and say that the BABIP can’t continue, or Player B and say the HR/FB rate can’t be real, but for our purposes, these are the lines they’ll put up over 1,000 PA, or 10,000, or 1,000,000. This is their real skill level. Given that, in most cases, it doesn’t matter much which one you choose, because they’re about the same. That’s the point of wOBA, after all.
That’s not a very interesting answer, so I decided to go deeper. I constructed a generic American League lineup. I removed intentional walks so that we’re comparing apples to apples. The result looks like this:
Generic Batting Order
Order |
BA |
OBP |
SLG |
wOBA |
1 |
.261 |
.328 |
.423 |
.325 |
2 |
.256 |
.324 |
.423 |
.323 |
3 |
.255 |
.332 |
.458 |
.339 |
4 |
.255 |
.325 |
.453 |
.333 |
5 |
.248 |
.319 |
.431 |
.323 |
6 |
.240 |
.308 |
.408 |
.309 |
7 |
.233 |
.294 |
.399 |
.299 |
8 |
.227 |
.289 |
.371 |
.287 |
9 |
.228 |
.293 |
.360 |
.285 |
I threw that lineup into a lightly modified version of my lineup simulator, a short snippet of code that lets you put in a lineup (based on the probability of each outcome every time they bat) and get an estimate of how many runs they’d score per game. This one comes out to 4.53 runs per contest, which is close enough to the actual AL average for my purposes. Read the rest of this entry »