Daily Notes, With Expected wOBAs for Almost All July
Table of Contents
Here’s the table of contents for today’s edition of Daily Notes.
1. Expected wOBA Leaderboards: Almost All July
2. Today’s Notable Games (Including MLB.TV Free Game)
3. Today’s Complete Schedule
Expected wOBA Leaderboards: Almost All July
A Brief Explanation of What This Is
In the not very distant past, I presented something in the Notes 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, where X equals a relatively low number.
Expected wOBA Leaders: Almost All July
Here are the leaders in Expected wOBA (xWOBA, in this case) among all batters over almost all July — which is to say, all of July except for July 31st, on account of that’s when I ran the data. 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).
Here’s the leaderboard, made just long enough to include Ryan Ludwick:
Name | Team | PA | xHR% | xBB% | xK% | xSB% | xXBABIP | xWOBA |
---|---|---|---|---|---|---|---|---|
Edwin Encarnacion | Blue Jays | 98 | 3.8% | 14.1% | 14.1% | 1.0% | .337 | .403 |
Mike Trout | Angels | 107 | 4.7% | 9.3% | 19.0% | 8.4% | .333 | .401 |
Josh Willingham | Twins | 107 | 5.4% | 12.3% | 17.6% | 0.0% | .314 | .399 |
Andrew McCutchen | Pirates | 99 | 4.1% | 10.1% | 16.7% | 0.0% | .338 | .385 |
Miguel Cabrera | Tigers | 107 | 4.7% | 9.3% | 13.6% | 0.9% | .304 | .381 |
Jose Reyes | Marlins | 111 | 3.4% | 7.1% | 11.1% | 6.3% | .328 | .381 |
Anthony Rizzo | Cubs | 100 | 4.1% | 6.6% | 12.6% | 1.0% | .325 | .375 |
Billy Butler | Royals | 109 | 3.0% | 9.7% | 16.7% | 0.9% | .353 | .375 |
Ryan Zimmerman | Nationals | 113 | 5.0% | 9.0% | 17.5% | 0.0% | .305 | .373 |
Ben Zobrist | Rays | 109 | 2.4% | 12.2% | 16.1% | 4.6% | .334 | .370 |
Ryan Braun | Brewers | 103 | 3.8% | 8.9% | 20.9% | 4.9% | .334 | .370 |
Ryan Ludwick | Reds | 78 | 4.0% | 6.9% | 20.1% | 0.4% | .338 | .361 |
Expected wOBA Laggards: Almost All July, Still
Here are the bottom-10 hitters over the last month by Expected wOBA:
Name | Team | PA | xHR% | xBB% | xK% | xSB% | xXBABIP | xWOBA |
---|---|---|---|---|---|---|---|---|
Brandon Inge | Athletics | 97 | 3.2% | 5.2% | 28.9% | 0.1% | .295 | .286 |
Michael Bourn | Braves | 119 | 2.0% | 8.3% | 28.1% | 5.0% | .304 | .296 |
Casey McGehee | Pirates | 90 | 2.9% | 5.9% | 22.5% | 0.2% | .286 | .296 |
Eric Hosmer | Royals | 103 | 1.8% | 8.9% | 22.9% | 2.9% | .293 | .297 |
Chris Davis | Orioles | 90 | 3.2% | 7.5% | 30.6% | 0.2% | .302 | .297 |
Clint Barmes | Pirates | 74 | 2.4% | 6.1% | 16.6% | 0.5% | .279 | .299 |
Mike Leake | Reds | 11 | 2.6% | 7.7% | 22.3% | 1.6% | .283 | .300 |
Todd Frazier | Reds | 87 | 3.2% | 7.1% | 22.3% | 0.2% | .274 | .301 |
Ramon Santiago | Tigers | 59 | 2.2% | 8.7% | 18.6% | 0.7% | .278 | .301 |
Pablo Sandoval | Giants | 73 | 2.7% | 7.2% | 17.5% | 0.5% | .269 | .301 |
Potential wOBA Risers, Maybe
Here are the 10 players whose Expected wOBAs most greatly exceeded their actual wOBAs during almost all July (minimum 25 PA):
Name | Team | PA | BABIP | xXBABIP | wOBA | xWOBA | Diff |
---|---|---|---|---|---|---|---|
Andrelton Simmons | Braves | 29 | .182 | .287 | .214 | .314 | .100 |
Tyler Flowers | White Sox | 36 | .350 | .317 | .230 | .311 | .081 |
Peter Bourjos | Angels | 45 | .258 | .293 | .232 | .307 | .075 |
Robert Andino | Orioles | 40 | .207 | .302 | .249 | .323 | .074 |
Paul Janish | Braves | 57 | .237 | .299 | .249 | .315 | .066 |
Brian Bogusevic | Astros | 70 | .275 | .301 | .250 | .312 | .062 |
Rafael Furcal | Cardinals | 99 | .272 | .307 | .275 | .337 | .062 |
Hunter Pence | Phillies | 90 | .288 | .311 | .243 | .305 | .062 |
Chris Stewart | Yankees | 33 | .200 | .286 | .256 | .315 | .059 |
Zack Cozart | Reds | 105 | .228 | .301 | .265 | .320 | .055 |
Potential wOBA Fallers, Maybe
Here are the 10 players whose Expected wOBAs are most greatly exceeded by their actual wOBAs during almost all July (minimum 25 PA):
Name | Team | PA | BABIP | xXBABIP | wOBA | xWOBA | Diff |
---|---|---|---|---|---|---|---|
David Freese | Cardinals | 84 | .545 | .326 | .506 | .356 | -.150 |
Jesus Guzman | Padres | 39 | .250 | .288 | .471 | .337 | -.134 |
Carlos Corporan | Astros | 28 | .444 | .304 | .460 | .329 | -.131 |
Juan Francisco | Braves | 27 | .417 | .297 | .458 | .328 | -.130 |
Michael McKenry | Pirates | 45 | .375 | .297 | .453 | .326 | -.127 |
Mike Trout | Angels | 107 | .409 | .333 | .525 | .401 | -.124 |
J.P. Arencibia | Blue Jays | 55 | .306 | .282 | .451 | .330 | -.121 |
Jordany Valdespin | Mets | 48 | .333 | .297 | .464 | .343 | -.121 |
Andrew McCutchen | Pirates | 99 | .477 | .338 | .504 | .385 | -.119 |
Jason Kubel | Diamondbacks | 93 | .325 | .286 | .458 | .339 | -.119 |
Complete Expected wOBA Leaderboard
Click this hyperlinked text to see the full Expected wOBA leaderboard for almost all July.
Today’s Notable Games
Arizona at Los Angeles NL | 15:10 ET ***MLB.TV Free Game***
Shane Victorino (431 PA, 101 wRC+, .278 BABIP, 2.1 WAR) makes his debut as a Dodger, probably.
Readers’ Preferred Broadcast: Los Angeles NL.
Miami at Atlanta | 19:10 ET
Not only is the legitimately effective Ben Sheets (18.0 IP, 93 xFIP-, 0.6 WAR) pitching, but so is left-hander Wade LeBlanc, who makes his first start of the season. LeBlanc’s line out of the bullpen (15.2 IP, 113 xFIP-, 0.2 WAR) hasn’t set a world, let alone the world, on fire, but his strikeout-to-walk numbers have generally been above average at every level.
Readers’ Preferred Broadcast: Atlanta 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 4.3.
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 | ||
---|---|---|---|---|---|---|---|---|---|
Zach Britton* | BAL | 6 | 0 | 4 | 7 | 5 | NYA | Phil Hughes | 13:05 |
Jake Peavy | CHA | 6 | 4 | 4 | 4 | 6 | MIN | Scott Diamond | 13:10 |
Jordan Lyles | HOU | 5 | 5 | 4 | 7 | 7 | MIL | Michael Fiers | 14:10 |
Jeff Karstens | PIT | 6 | 4 | 2 | 0 | 2 | CHN | Travis Wood | 14:20 |
Patrick Corbin | AZ | 5 | 7 | 6 | 1 | 6 | LAN | Stephen Fife* | 15:10 |
Alex Cobb | TB | 7 | 4 | 6 | 5 | 6 | OAK | Jarrod Parker | 15:35 |
Vance Worley | PHI | 6 | 5 | 4 | 7 | 6 | WAS | Edwin Jackson | 19:05 |
Rick Porcello | DET | 6 | 4 | 5 | 5 | 2 | BOS | Aaron Cook | 19:10 |
Wade LeBlanc* | MIA | 7 | 3 | 6 | 8 | 9 | ATL | Ben Sheets* | 19:10 |
Kip Wells | SD | 0 | 6 | 1 | 4 | 4 | CIN | Bronson Arroyo | 19:10 |
Garrett Richards | LAA | 4 | 6 | 5 | 8 | 7 | TEX | Yu Darvish | 20:05 |
Zach McAllister | CLE | 7 | 4 | 3 | 7 | 2 | KC | Luis Mendoza | 20:10 |
Jake Westbrook | STL | 6 | 9 | 5 | 9 | 4 | COL | Drew Pomeranz | 20:40 |
Carl. Villanueva | TOR | 5 | 7 | 3 | 4 | 3 | SEA | Blake Beavan | 22:10 |
Jonathon Niese | NYN | 7 | 3 | 6 | 3 | 7 | SF | Matt Cain | 22:15 |
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.
I noticed that the difference in wOBA and xWOBA is greater for potential fallers than potential risers, and I seem to recall noticing this before. am I just selectively remembering, or do we usually see this? If we do, could that mean it’s easier to be “lucky” than “unlucky” in wOBA compared to xWOBA?
If that is true, it really isn’t luck. Luck should simply be a random error normally distributed around a mean of 0. One possible explanation (if true) is that the players that are “unlucky” are not getting enough playing time to be equally as unlucky as players that are lucky.
The real problem is that BABIP fluctuation is not simply affected by luck or factors outside of the player’s control. Players can change their swing/get lazy and hit more or less LDs then they used to. This would likely raise/lower their BABIP respectively. So then, it isn’t reasonable to always expect BABIP to regress to something such as a career BABIP simply because the luck error factor is expected to be 0.
It’s also possible that the xWOBA numbers a bit on the high side relative to what league-average wOBA is right now — or was in July, at least.
The average wOBA in July was .318, looks like; the xWOBAs average out to .328. So there might be a bit of a calibration issue. I’ll look into it before I publish these next time. In any case, the order in which players are ranked is still relevant.
Link to averages for July: http://www.fangraphs.com/leaders.aspx?pos=all&stats=bat&lg=all&qual=0&type=8&season=2012&month=7&season1=2012&ind=0&team=0,ss&rost=0&age=0&filter=&players=0.