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BtB Power Rankings: Through Wednesday, September 16th, 2009

Ryan Hanigan has put on one of the best defensive displays by a catcher this season, and with his help the Reds clock in as the best fielding team in the National League.  Wins schmins.  (AP Photo/Marcio Jose Sanchez)

More photos » Marcio Jose Sanchez - AP

Ryan Hanigan has put on one of the best defensive displays by a catcher this season, and with his help the Reds clock in as the best fielding team in the National League. Wins schmins. (AP Photo/Marcio Jose Sanchez)

Welcome to our weekly ranking of all the MLB teams!  In this ranking, we use aggregate team hitting, baserunning, pitching, and fielding statistics--not team wins, losses, runs scored, or runs allowed--to evaluate the performance of teams to date.  You can think of the estimated winning percentage (eW%) below as how we'd expect things to fall out if we threw teams with these aggregate statistics into one big league and let them battle it out for thousands of games.  They don't replace your actual standings, but they give you something different to consider when thinking about team performances.

New this week: catcher defense!  All year, I've neglected to include any measure of catcher defense in these rankings.  This has now been addressed.  I'm using an approach similar to what Rally does in WAR and chuckb did here at BtB last month.  My specific methods were laid out in this piece from a few years back.


The table is sortable if you click in the header.  All data are park-adjusted when possible.  A legend is below the table, followed by commentary.

 

Beyond The Boxscore Power Rankings

Rank Chg Team wOBA eRS tERA tRns Field eRA eW%lg LgAdj eW%
1 0 NYA 0.364 880 4.39 692 5.4 687 0.621 18.2 0.643
2 +1 BOS 0.345 747 3.93 602 -31.8 634 0.578 17.8 0.602
3 -1 TB 0.347 756 4.44 683 37.7 645 0.575 18.0 0.599
4 +1 LAN 0.336 728 3.77 606 23.8 583 0.604 -18.2 0.578
5 -1 COL 0.330 679 3.56 556 2.9 553 0.594 -18.2 0.567
6 0 TEX 0.331 660 4.36 671 46.1 625 0.526 17.9 0.552
7 +1 TOR 0.334 706 4.26 668 -3.3 671 0.524 18.0 0.549
8 -1 LAA 0.350 774 4.70 727 -10.7 738 0.524 17.9 0.547
9 0 CHA 0.322 627 3.77 583 -34.7 618 0.507 18.0 0.534
10 +2 PHI 0.338 716 4.30 668 27.6 640 0.553 -17.8 0.528
11 +2 OAK 0.325 645 4.17 648 0.3 647 0.498 17.9 0.524
12 -1 STL 0.331 673 3.99 623 12.6 610 0.546 -18.2 0.519
13 -3 MIN 0.337 714 4.46 694 -31.8 725 0.492 18.0 0.516
14 0 DET 0.329 658 4.61 709 37.2 672 0.490 17.9 0.516
15 +2 ATL 0.327 660 3.80 591 -16.3 607 0.539 -17.9 0.513
16 -1 CLE 0.337 717 4.72 727 -31.4 759 0.473 17.9 0.496
17 +2 CHN 0.320 623 3.89 603 4.9 598 0.519 -17.8 0.492
18 -2 ARI 0.319 635 3.93 618 6.7 612 0.517 -18.2 0.490
19 -1 FLA 0.338 725 4.32 674 -33.5 707 0.512 -18.0 0.487
20 0 SEA 0.317 596 4.71 736 68.9 667 0.448 18.0 0.474
21 +3 BAL 0.325 645 4.72 723 -34.0 757 0.424 17.9 0.448
22 +1 KC 0.315 581 4.09 625 -66.3 691 0.420 17.9 0.446
23 -1 MIL 0.332 683 4.86 744 6.5 738 0.463 -17.9 0.439
24 -3 SF 0.306 543 4.01 625 36.7 588 0.464 -18.0 0.435
25 +1 HOU 0.322 614 4.39 680 -10.5 690 0.445 -18.0 0.420
26 -1 NYN 0.322 628 4.45 684 -32.1 716 0.438 -18.0 0.413
27 0 WAS 0.331 677 5.03 762 -30.3 792 0.424 -17.9 0.401
28 +1 SD 0.321 625 4.68 736 -4.4 741 0.420 -18.2 0.395
29 +1 CIN 0.305 550 4.60 723 48.7 675 0.407 -18.0 0.381
30 -2 PIT 0.313 568 4.66 706 4.8 701 0.403 -17.8 0.378

Star-divide

Offense

wOBA (park-adjusted, includes BPro's baserunning data)
eRS
(estimated runs scored) = wRC + EqBRR
wRC (wRC from FanGraphs, with baserunning removed, then park adjusted)
EqBRR (Equivalent Base Running Runs from
Baseball Prospectus)

Defense

tERA (a home-brew version of Graham MacAree's statistic)
tRns (tERA converted to expected runs allowed)

Fld (Average of bUZR & THT, plus Catchers)

bUZR (from FanGraphs)
THT (their team batted balls statistic, converted to runs)
Catchers (
catcher fielding based on SB's, CS, WP+PB, and E's)
eRA (estimated runs allowed) = tRns - Fld

The Rest
eW%lg = estimated winning percentage within the specific league (AL or NL).  Compare this to true winning %!
LgAdj = league adjustment (bonus to AL teams, penalty to NL teams, because the AL has superior level of play)
eW% = estimated winning percentage if all teams were in one league (after league adjustment)

Methods provided in more detail in the first post in this series

Team Leaders (asterisks indicate teams improving in specific ranking):

American League

 

Offense (wOBA): Yankees, Angels, Rays
Pitching (tERA): White Sox, Red Sox, Royals
Fielding (Fld): Mariners, Rangers, Rays

National League
Offense (wOBA): Marlins, Phillies, Dodgers
Pitching (tERA): Rockies, Dodgers*, Braves
Fielding (Fld): Reds*, Giants, Phillies

"On Paper" Playoff Leaders (asterisks indicate new leaders):

American League: E=Yankees, C=White Sox, W=Rangers, WC=Red Sox*
National League: E=Phillies, C=Cardinals, W=Dodgers*, WC=Rockies

 


This Week's Movers

I ran out of space for columns in the above table.  But based on our measure of catcher fielding, here are the best- and worst-caught teams in baseball:

Detroit: +12 runs
Cincinnati: +10 runs
St. Louis: +8 runs
New York Mets: +8 runs
Chicago Cubs: +8 runs
..........................................
Los Angeles Angels: -7 runs
Boston: -7 runs
Washington: -8 runs
Arizona: -13 runs
Kansas City: -16 runs

So the story just keeps getting worse for the Royals' fielding numbers...

If you look up and check out the teams most affected, it's a mixed bag in terms of how much this pushed teams up or down in the rankings this weak.  Detroit held constant, the catcher data bouying them up despite recent struggles.  Cincinnati got themselves out of the cellar, with poor Pittsburgh imploding.  The Cardinals and Mets both slipped a spot despite the boost to their fielding numbers.  On the other side of the coin, the Royals actually gained a spot thanks to a hot week that had them winning 4 of 5 from the aforementioned Tigers

Nevertheless, it's an important addition that alleviates a long-standing critique of these rankings.  The data we're using don't emcompass the entirety of catcher fielding, but they do cover the parts that are both repeatable and easily-measured.  Thanks to the Hardball Times for the data.

In other news...the Rays fell out of the on-paper playoff pitcher for the first time I can remember, replaced by the actual leaders: the Red Sox.  Similarly, the Dodgers bumped the Rockies back down to the wild card in the NL West.  The only races at this point that differ from reality are in the AL Central (White Sox over Tigers and Twins) and the AL West (Rangers over Angels).

1 recs  |  Comment 12 comments |

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Wooo!

Glad to see Oakland is projected tp get above .500. I hope they actually play that way.

ken korach's voice is like peanut butter on velvet, not joe buck's.

by mrbendy on Sep 18, 2009 1:15 PM EDT via mobile reply actions   0 recs

Right

These data are saying that, on average, a team with Oakland’s component stats would be expected to post a 0.498 winning percentage in the AL (eW%lg).
-j

by JinAZ on Sep 18, 2009 10:08 PM EDT up reply actions   0 recs

I'm curious to hear people's thoughts on why the Giants and the Blue Jays are so far away from their estimated W%

SteakGrowsOnDmitri: /crams win into mouth
SteakGrowsOnDmitri: mmm, these s**ts taste like unfair an outmoded pitchin metrics

by natalys26 on Sep 18, 2009 4:55 PM EDT reply actions   0 recs

Some possible reasons
  • Luck
  • Bullpen leverage
  • Clutchiness
  • Timing

There are probably some others too that I’m not thinking about.

The Jays were at the top of the AL East for much of the first half. They faded, but moreso in their actual wins than their component statistics.
-j

by JinAZ on Sep 18, 2009 10:12 PM EDT up reply actions   0 recs

The Giants are clearly the worst team in baseball

Giant Dirtbags: John Bowker, Steve Hammond. MIA List: Todd Jennings, Brian Anderson
Jeremy Affeldt induces DP's

by Giant among Angels on Sep 19, 2009 12:40 PM EDT up reply actions   0 recs

I’d like to know why the Giants have an eW% that is actually impossible to obtain this season. That seems a little off to me.

by quincy0191 on Sep 23, 2009 2:37 PM EDT up reply actions   0 recs

Again, we're not predicting final winning percentage here

We’re estimating winning percentage based on component statistics in a hypothetical league in which all teams play each other (i.e. superior AL teams get to beat up on inferior NL teams).

In the new version of the power rankings, I’m changing the eW% number to “TQI” (Team Quality Index) as people are getting much too hung up on the idea that it should be compared to true winning percentage (it should not).
-j

by JinAZ on Sep 24, 2009 9:22 PM EDT up reply actions   0 recs

Hey JinAZ - I have some ideas for this series of articles.

Hit me up in email.

"What we do in life, echoes in eternity!"

by Justin Bopp on Sep 18, 2009 6:38 PM EDT reply actions   0 recs

Yes, it's a space issue

I was bleeding over the margins of the front page narrow format. It’s still there.

I’ll be including it in the new rankings, which go up tonight. They’re going through an presentation overhaul at the request of Justin2 and Sky. :)
-j

by JinAZ on Sep 24, 2009 9:20 PM EDT up reply actions   0 recs

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