Hardball Times: A Theoretical Blueprint for Improving MLEs

[weams]

http://www.hardballtimes.com/a-theoretical-blueprint-for-improving-mles/

We normally apply the idea of a Major League Equivalency (MLE) to prospects to translate their statistics onto a major league scale, but the general idea will also apply to the Japan-MLB split, or even the AL-NL gap. The problem is that not only are the talent levels different in different leagues, the skills emphasised can also be dramatically dissimilar.

-from the library

[weams]

MLEs are a translation of minor league statistics to major league ones. In other words, they approximate how well a player would have done if he had been in the major leagues, based on his performance in the minor leagues. It is important to note that MLEs are not projections. You can think of them as exchange rates that only convert minor league statistics into a major league context.

A worthwhile read for those who dislike age discussion, or want an older player to be "found money." And for those who under value prospects as well.

[srock]

This is some thick reading after turkey and booze.

THICK

[lormat]

Boy coffee did not kick in yet, I first thought I read the headline as MILF's. I thought "WHAT?"

[Can_of_corn]

So telling us a guy that just finished his season in A+ and AA would have won the MVP is a problem?

[weams]

Boy coffee did not kick in yet, I first thought I read the headline as MILF's. I thought "WHAT?"

So telling us a guy that just finished his season in A+ and AA would have won the MVP is a problem?

Yes. That.

[weams]

http://www.fangraphs.com/blogs/five-notable-steamer-mles-from-2013-batters/

http://www.fangraphs.com/blogs/minor-league-batting-leaders-according-to-steamer-mles/

[weams]

# Name Age Org Lev POS PA AVG OBP SLG BABIP wOBA

1 Kyle Roller 26 Yankees AA 1B 73 .376 .428 .768 .426 .493

2 Gabriel Noriega 23 Mariners AAA SS 55 .435 .435 .580 .490 .442

3 Cole Gillespie 30 Mariners AAA OF 68 .320 .395 .617 .327 .432

4 J.D. Martinez 26 Tigers AAA OF 71 .262 .303 .692 .230 .415

5 George Springer 24 Astros AAA OF 61 .314 .397 .563 .410 .413

6 Joey Butler 28 Cardinals AAA OF 88 .352 .446 .489 .417 .407

7 Ernesto Mejia 28 Braves AAA 1B 88 .316 .366 .584 .390 .407

8 Gregory Polanco 22 Pirates AAA OF 118 .354 .399 .536 .422 .401

9 Eugenio Velez 32 Brewers AAA OF 91 .353 .405 .498 .406 .396

10 Donald Lutz 25 Reds AA OF 82 .324 .362 .573 .369 .395

11 Tyler Ladendorf 26 Athletics AAA SS 97 .342 .421 .455 .418 .387

12 Allan Dykstra 27 Mets AAA 1B 95 .276 .402 .481 .339 .386

13 Audry Perez 25 Cardinals AAA C 54 .348 .367 .512 .393 .383

14 Taylor Teagarden 30 Mets AAA C 63 .257 .336 .547 .313 .381

15 Mookie Betts 21 Red Sox AA 2B 120 .338 .380 .496 .353 .380

16 Chris Taylor 23 Mariners AAA SS 119 .336 .360 .518 .392 .375

17 Johnny Giavotella 26 Royals AAA 2B 82 .345 .381 .472 .358 .374

18 Micah Johnson 23 White Sox AA 2B 128 .336 .395 .454 .403 .373

19 Wade Hinkle 24 Angels A+ 1B 57 .326 .374 .483 .479 .371

20 Shawn Zarraga 25 Brewers AA C 69 .387 .432 .428 .425 .370