It was off top of my head

If I spent any time on it, maybe I add Wright, maybe I drop 4 guys, no idea!

Ultimate in this regard is probably The Triple Crown Line (about as perfect a nickname as there is, merging the baseball term with the Kings name)

The Kings were something like -15 overall, meaning that when these guys weren't on the ice racking up around +40, they were otherwise -55 without them

If you want something sorta-theoretical, you can try this:

tangotiger.net/markov_wes.h...

This covers a 50 or 60 year time period, generated in 2008. So probably thru 2006 I'd guess

tangotiger.net/retrosheet/r...

We should add it the Histogram, but for now, you can see it here:
baseballsavant.mlb.com/savant-playe...

And with a little bit of work, you can work with it here:
baseballsavant.mlb.com/statcast_sea...

Right. There is ZERO reason that the average LF = average RF = average SS

This is most obvious in high school as well as in football

The ONLY common baseline is the "last player" in each position pool being equivalent. This is EXACTLY like Fantasy Sports.

Any similarity in distribution will be happenstance and consistent with the Central Limit Theorem

In other words: we're not going to learn anything about the underlying true distribution by looking at the sample of the distributions

Suppose you have two batters, both league average batters. One plays SS, the other plays 1B

How do you compare the two?

Everyone else makes a big deal that umpires are only ~70% right on the close ones... but catchers are only going to be right 55% of the time! And batters will be lucky to even be at 50%.

Waiting on the thousands of twitter warriors to issue their mea culpa in early April

This is going to absolve most umpire calls, and land squarely on the players. Umps are far better judges than players

Looking forward to seeing @pitchingninja.com dealing with the poor calls from pitchers!

I'm hoping #AspiringSaberist take over