The Curse of Jerry Hairston, Jr./Eric Hinske:
 

Tuesday, August 9, 2011

More on Run Differentials

Last week I looked at the Yankees’ run differential and made the point that actual runs scored and allowed can be a bit misleading, and that it’s probably more instructive to look at the context neutral value of the offensive events for and against a team to get a better sense of how good they have actually been.  For the hell of it I decided to look at this for all teams in MLB as of this morning.

Team RS RA bRS bRA RS - bRS RA - bRA Gap
Pirates 436 469 415 503 21 -34 55
Yankees 603 436 577 455 26 -19 45
Padres 431 438 413 448 18 -10 28
Reds 542 510 522 511 20 -1 21
Phillies 504 375 500 391 4 -16 20
Blue Jays 534 522 515 522 19 0 18
Braves 476 426 467 428 9 -2 11
Royals 505 551 509 566 -4 -15 11
Diamondbacks 516 502 499 493 17 9 9
Nationals 449 471 445 475 4 -4 7
Rays 485 452 481 453 4 -1 5
Angels 441 419 457 439 -16 -20 5
Cardinals 552 500 538 490 14 10 4
Indians 478 486 458 469 20 17 3
Rockies 528 536 519 529 9 7 2
Twins 449 559 420 532 29 27 2
Athletics 442 456 430 440 12 16 -5
White Sox 453 468 451 457 2 11 -9
Mets 518 507 525 504 -7 3 -10
Red Sox 625 479 628 472 -3 7 -11
Dodgers 418 456 429 454 -11 2 -13
Marlins 462 503 471 497 -9 6 -15
Mariners 376 439 362 409 14 30 -16
Rangers 589 490 582 466 7 24 -17
Brewers 512 486 508 462 4 24 -19
Astros 437 574 451 568 -14 6 -20
Orioles 462 598 473 586 -11 12 -23
Cubs 474 571 481 552 -7 19 -26
Giants 399 411 414 399 -15 12 -28
Tigers 508 514 512 484 -4 30 -35

RS/RA: Actual runs scored/allowed
bRS/bRA linear weights batting runs scored/allowed.
Gap: RS - bRS minus RA - bRA.  The larger the number, the more a team has outplayed their peripherals.  Basically, positive is bad here and negative is good.

What this table is saying is that, for example, the Yankees have scored about 26 more runs and allowed 19 fewer runs than their peripheral stats say they should have.  That doesn’t mean you should subtract 4.5 wins from their total on the season.  It just means that their Pythagenpat record/run differential is a bit misleading.  In the Yankees’ case they’ve got 73 Pythag wins and 69 actual wins, so they haven’t really taken advantage of this in actual wins. 

Contrast that with Pittsburgh, who’ve stumbled lately.  They were playing over their heads all year, and unfortunately the correction has been ugly.  At 55-59, they’re still two wins ahead of their 53-61 Pythag record, and if you look at that gap they are probably not even that good.

--Posted at 2:57 pm by SG / 9 Comments | - (0)

Comments

Page 1 of 1 pages:

I claim you have a bug - the average gap should be 0, and it’s about 4.1.  Or maybe the linear weights are a bit off this year.

Or maybe the linear weights are a bit off this year.

I think that’s the issue.  I have to play around with them.

Edit: Looks like a bug.  I’ve got ROE for pitchers but not hitters, so outs are not equal and it’s not summing to zero.  For some reason BB Ref has them with the pitchers but on a separate page for the hitters.  I’ll fix it.

Edit2: Fixed.

[1], [2].  I appreciate you doing the thinking and fact-checking for me.

[3] I appreciate you appreciating them.

Poor Pittsburgh.

“Edit2: Fixed.”

I’m still confused - RA-bRA sums to 150, ..S.. to 152.

I’m still confused - RA-bRA sums to 150, ..S.. to 152.

It’s fixed on my computer. does that count? 

Looks like I didn’t copy all the columns over, but I’m away from my laptop now so can’t update it.

SG, at what number of games would you expect a team’s W-L, pythag, and/or bRA to stabilize around its actual true talent level?  I would assume that SSS applies even to team bRA, but at point in a season does “luck” cease to be a significant factor when we are comparing one team to another?

SG, at what number of games would you expect a team’s W-L, pythag, and/or bRA to stabilize around its actual true talent level?

The problem is that team talent level isn’t static.  So if you’re trying to figure out how good a team is at a snapshot in time, you’d have to account for not just performance anomalies, but also for roster changes and/or actual player talent level changes.  It’s fair to say that any assessment of the Yankees that used a productive Jorge Posada at DH is now wrong, and it’s also probably fair to say that any assessment that assumed Ivan Nova, Bartolo Colon and Freddy Garcia would be replacement level is also wrong.  And how much do we read into their performance while Alex Rodriguez has been out and how much does his return change things?

I’d say by August you should have a pretty good idea of how good a team is since it’s unlikely they’ll make any significant roster changes.  But that should not just be based on what they’ve done so far.  It should factor in other information that you may have, be it scouting info or statistical/projection info. 

I like to point to the 2009 Yankees.  Whenever I saw a piece talking about the postseason Yankees being a 95 win pythag team it annoyed me.  The postseason Yankees didn’t have Chien-Ming Wang, Sergio Mitre and Anthony Claggett giving up 101 runs in 95 innings, and they didn’t have Cody Ransom and Angel Berroa combining for 110 PA of 36 OPS+.

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