When reading statistical articles, I tend to skip the parts with the actual work and go straight for the conclusion. So, that's how I'm going to write this post.
"So in conclusion. Yes, yes I know it's a funny way to start a review, but as far as I'm concerned there's no argument."
The Mets have been getting unlucky (Not counting the pitchers OPS) to a tune of about .050 total OPS. Thus, the Mets are scoring .6883 runs less per game than would be expected from their batted balls, strikeouts, home runs and walks totals. This means that the Mets offense should be a remarkable 886 total run offense as opposed to the 774 run pace they are on.
Now comes the obligatory small print: There are number of factors that can keep ones PrOPS higher than the player can actually produce such as (not in order of importance with some being of no importance) players speed, grit, GB%, getting your uniform dirty, park effects, shitty luck over a whole year and, of coarse, heart/wanting it more.
So, does this mean that starting tomorrow the Mets luck will bounce back and they will start mashing the ball. Obviously, no. But it does mean that the Mets have the potential to be a much better offense without adding a player in the second half.
I was going to write out how I arrived at my conclusion, but honestly, I don't feel like it right now and I'm sure no one would really want to read it. Instead I'll go with the winning formula of ctrl(x) + ctrl (v) = A+. Great Job!
Anyone who's interested I've copied and pasted the important part of my work below and for those of you who have no idea what PrOPS is check out THT.
I'll probably write another post discussing some of the things I found interesting when using PrOPS.