Daily Notes, With More Expected wOBA Trifles
Table of Contents
Here’s the table of contents for today’s edition of Daily Notes.
1. Expected wOBA Leaderboards: Last 30 Days
2. Today’s MLB.TV Free Game
3. Today’s Complete Schedule
Expected wOBA Leaderboards: Last 30 Days
A Brief Explanation of What This Is
In yesterday’s edition of the Notes, I experimented with something called “Expected wOBA,” itself essentially a version of Bradley Woodrum’s Fielding Independent wOBA but with regressed (as opposed to raw) home-run, walk, and strikeout rates — and a (somewhat haphazardly) regressed version of Woodrum’s updated xBABIP formula, as well — as the inputs.
The idea behind Expected wOBA is to estimate something like a player’s true talent over the course of X plate appearances. However, because we looked — again, in those leaderboards yesterday — because we looked at Expected wOBA for all of 2012, we were dealing with samples that, in most cases, had passed the plate-appearance threshold for reliability for all the relevant inputs. For that reason, there was little deviation between those Expected wOBA figures and the Fielding Independent wOBAs posted by Woodrum last week.
For this edition of the Notes, I’ve published some new Expected wOBA numbers — except, in this case, using only the last month’s worth of data. This appeals more directly to the strength of Expected wOBA — namely, its capacity to express something meaningful even with small samples.
Expected wOBA Leaders: Last 30 Days
Here are the leaders in Expected wOBA (xWOBA, in this case) among all batters over the last 30 days. Note that anything beginning with an -x- has been regressed. Note also that, in the absence of actual research having been done on it, I’ve opted to regress stolen-base percentage to 100 plate appearances (as, unregressed, it gives undue credit to players who’ve stolen one base in, for example, just four plate appearances).
Name | Team | PA | xHR% | xBB% | xK% | xSB% | xXBABIP | xWOBA |
---|---|---|---|---|---|---|---|---|
Andrew McCutchen | Pirates | 112 | 5.3% | 8.5% | 15.0% | 0.9% | .345 | .412 |
Edwin Encarnacion | Blue Jays | 108 | 4.0% | 12.2% | 13.5% | 2.8% | .343 | .410 |
Josh Willingham | Twins | 108 | 5.0% | 11.7% | 18.8% | 0.0% | .328 | .395 |
Billy Butler | Royals | 108 | 3.7% | 9.7% | 15.5% | 0.9% | .346 | .386 |
David Ortiz | Red Sox | 101 | 4.1% | 14.5% | 15.1% | 0.0% | .299 | .382 |
Mike Trout | Angels | 111 | 4.0% | 8.1% | 21.1% | 9.9% | .333 | .381 |
Ryan Braun | Brewers | 97 | 4.1% | 10.2% | 17.6% | 5.1% | .316 | .379 |
Ben Zobrist | Rays | 107 | 2.4% | 11.8% | 14.3% | 3.7% | .345 | .379 |
Robinson Cano | Yankees | 104 | 4.4% | 6.9% | 16.7% | 0.0% | .338 | .377 |
Albert Pujols | Angels | 104 | 4.1% | 11.4% | 11.3% | 1.9% | .275 | .367 |
Expected wOBA Laggards: Last 30 Days
Here are the bottom-10 hitters over the last month by Expected wOBA:
Name | Team | PA | xHR% | xBB% | xK% | xSB% | xXBABIP | xWOBA |
---|---|---|---|---|---|---|---|---|
Clint Barmes | Pirates | 82 | 2.3% | 5.8% | 17.6% | 0.3% | .285 | .297 |
Chris Johnson | Astros | 88 | 2.2% | 8.5% | 26.1% | 1.2% | .304 | .299 |
Sean Rodriguez | Rays | 52 | 2.5% | 8.5% | 23.5% | 1.8% | .282 | .299 |
Torii Hunter | Angels | 89 | 2.2% | 6.0% | 21.3% | 1.2% | .300 | .299 |
Ryan Doumit | Twins | 80 | 2.3% | 5.9% | 20.5% | 0.3% | .299 | .300 |
Carlos Gomez | Brewers | 71 | 3.0% | 7.2% | 26.3% | 6.5% | .274 | .300 |
Jon Jay | Cardinals | 83 | 1.9% | 8.2% | 21.4% | 3.3% | .290 | .300 |
Brandon Belt | Giants | 75 | 2.3% | 9.6% | 24.5% | 3.4% | .283 | .300 |
Rickie Weeks | Brewers | 98 | 3.1% | 7.6% | 26.8% | 0.0% | .294 | .301 |
Cliff Pennington | Athletics | 58 | 2.5% | 7.8% | 21.3% | 0.7% | .287 | .301 |
Potential wOBA Risers, Maybe
Here are the 10 players whose Expected wOBAs most greatly exceed their actual wOBAs over the last 30 days (minimum 25 PA):
Name | Team | PA | BABIP | xXBABIP | xWOBA | wOBA | Diff |
---|---|---|---|---|---|---|---|
Cliff Pennington | Athletics | 58 | .132 | .287 | .301 | .144 | .157 |
Justin Christian | Giants | 26 | .217 | .307 | .330 | .227 | .103 |
Bobby Abreu | Dodgers | 69 | .188 | .282 | .306 | .217 | .089 |
Starlin Castro | Cubs | 95 | .247 | .310 | .333 | .246 | .087 |
Dustin Ackley | Mariners | 96 | .194 | .281 | .318 | .243 | .075 |
Ryan Hanigan | Reds | 55 | .263 | .298 | .318 | .246 | .072 |
Yunel Escobar | Blue Jays | 95 | .263 | .329 | .340 | .269 | .071 |
Rafael Furcal | Cardinals | 114 | .256 | .310 | .355 | .286 | .069 |
Chris Stewart | Yankees | 36 | .286 | .297 | .310 | .245 | .065 |
Jerry Hairston | Dodgers | 75 | .271 | .329 | .341 | .278 | .063 |
Potential wOBA Fallers, Maybe
Here are the 10 players whose Expected wOBAs are most greatly exceeded by their actual wOBAs over the last 30 days (minimum 25 PA):
Name | Team | PA | BABIP | xXBABIP | xWOBA | wOBA | Diff |
---|---|---|---|---|---|---|---|
DeWayne Wise | Yankees | 26 | .400 | .291 | .334 | .599 | -.265 |
Chris Carter | Athletics | 36 | .235 | .300 | .353 | .527 | -.174 |
Andrew McCutchen | Pirates | 112 | .487 | .345 | .412 | .581 | -.169 |
Andruw Jones | Yankees | 43 | .269 | .278 | .329 | .479 | -.150 |
Jeff Mathis | Blue Jays | 27 | .412 | .294 | .321 | .465 | -.144 |
Justin Ruggiano | Marlins | 77 | .500 | .315 | .351 | .495 | -.144 |
Jordany Valdespin | Mets | 31 | .381 | .296 | .332 | .475 | -.143 |
Jeff Baker | Cubs | 37 | .385 | .313 | .337 | .473 | -.136 |
Mike Trout | Angels | 111 | .479 | .333 | .381 | .513 | -.132 |
Nick Markakis | Orioles | 29 | .423 | .297 | .325 | .457 | -.132 |
Complete Expected wOBA Leaders: Last 30 Days
Click this hyperlinked text to see the full Expected wOBA leaderboard for the last 30 days.
Today’s MLB.TV Free Game
Texas at Los Angeles AL | 22:05 ET
To answer the question that at least one reader might consider asking in his heart (if not aloud, to a sad and empty room): the reason for Jered Weaver’s seemingly low NERD score — NERD being our infallible watchability metric that’s infallible — is due to the fact that Weaver currently possesses a below-average swinging-strike rate (7.4%) and overall strike rate (62.7%) and average fastball velocity (88.1 mph) — and only a slightly above-average xFIP (3.95). To answer the other question that a reader might ask: yes, it’s illegal to do that — even if it’s just to a dog.
Readers’ Preferred Broadcast: Texas Radio.
Today’s Complete Schedule
Here’s the complete schedule for all of today’s games, with our very proprietary watchability (NERD) scores for each one. Pitching probables and game times aggregated from MLB.com and RotoWire. The average NERD Game Score for today is 4.5.
Note: the following Game Scores include the poorly conceived playoff-odds adjustment discussed in a recent edition of Daily Notes. Also note: the following table is entirely sortable.

Away | SP | Tm. | Gm. | Tm. | SP | Home | Time | ||
---|---|---|---|---|---|---|---|---|---|
Tommy Hanson | ATL | 5 | 8 | 7 | 6 | 10 | WAS | Step. Strasburg | 19:05 |
Miguel Gonzalez | BAL | 6 | 1 | 3 | 5 | 2 | CLE | Derek Lowe | 19:05 |
Jake Peavy | CHA | 6 | 5 | 7 | 4 | 9 | DET | Justin Verlander | 19:05 |
Ricky Nolasco | MIA | 4 | 3 | 2 | 4 | 1 | PIT | Kevin Correia | 19:05 |
Tim Lincecum | SF | 7 | 4 | 4 | 5 | 5 | PHI | Vance Worley | 19:05 |
Aaron Harang | LAN | 2 | 1 | 5 | 3 | 6 | NYN | Johan Santana | 19:10 |
Marco Estrada | MIL | 9 | 7 | 6 | 4 | 5 | CIN | Homer Bailey | 19:10 |
Hisashi Iwakuma | SEA | 4 | 4 | 5 | 4 | 8 | TB | James Shields | 19:10 |
Aaron Laffey | TOR | 3 | 7 | 5 | 6 | 6 | BOS | Josh Beckett | 19:10 |
Nick Blackburn | MIN | 1 | 3 | 2 | 7 | 5 | KC | Luke Hochevar | 20:10 |
Ryan Dempster | CHN | 6 | 1 | 5 | 9 | 4 | STL | Kyle Lohse | 20:15 |
Bud Norris | HOU | 6 | 4 | 4 | 7 | 5 | AZ | Trevor Cahill | 21:40 |
Drew Pomeranz | COL | 3 | 9 | 2 | 5 | 3 | SD | Jason Marquis | 22:05 |
Ivan Nova | NYA | 6 | 7 | 6 | 4 | 5 | OAK | Tommy Milone | 22:05 |
Derek Holland | TEX | 5 | 8 | 5 | 6 | 4 | LAA | Jered Weaver | 22:05 |
To learn more about Pitcher and Team NERD scores click here.
To learn how Game NERD Scores are calculated, click here.
* = Fewer than 20 IP, NERD at discretion of very handsome author.
Carson Cistulli has published a book of aphorisms called Spirited Ejaculations of a New Enthusiast.
First of all: Andrew McCutchen, holy heavens.
Secondly of the rest: How is it that Colorado has a 9 team NERD and the Rays have a 4?
I feel like someone questions the team NERD for Colorado every day, despite the metric’s infallibility
As the saying goes, “People of all gender orientations dig the long ball.”
Think it’s their speed score.