IS CRITICISM OF THE CARDINALS HITTING COACH VALID?

> Cardinals hitting coach John Mabry has been catching a lot of flack lately, and this morning manager Mike Matheny called some (all?) criticisms cheap shots.  But the allegations are only cheap if they’re not based in fact, so let’s see if they are.

Below is a simple comparison.  It takes every position player who has hit for the Cardinals this year and compares what they have done this year to what they have done in every season prior to this year.  WRC+ is their average offensive production adjusted for league and park, and next to it are fundamental building blocks such as average on balls in play, slugging percentage minus batting average, homeruns per fly ball, groundballs per fly ball and walks per strikeout.

  Age WRC+ BABIP SLG-AVG HR/FB GB/FB BB/K
Before 2014 27 106 .311 .151 9.8% 1.31 .49
2014 w/ Cards 29 100 .299 .125 8.2% 1.48 .44
  (7%) -6% -4% -17% -16% (13%) -10%

Criticism may have been overblown, but that still doesn’t make Mabry look good.  Historically, offensive production is basically the same between 27 and 29, but the Cardinals have seen notable drops in basically everything.  An increase in strikeouts and a decrease in power per hit is to be expected in this era, but WRC+ adjusts to the league environment and still says the Cardinals have gone from above-average to average.

I’ve got nothing against Mabry, but the fact of the matter is that even if his philosophies didn’t cause this decrease, they aren’t fixing it either.  Saying that is not taking a cheap shot, it’s being objective and realistic.

HOW IS KOLTEN WONG HITTING SO MANY HOMERUNS?

> Kolten Wong has nine homeruns in just 271 plate appearances this year; one every 30.1 times at bat.  That’s a better frequency than Freddie Freeman (33.7), Hanley Ramirez (33.8) and  Yasiel Puig (35.1) and is barely worse than Andrew McCutchen (28.8) and Miguel Cabrera (27.9).

Wong of course has never done this before.  His PA/HR rate in the minors was 49.8.  And it’s not that his homeruns have been cheap, averaging 398 feet in projected distance to mostly far right.

My only other hypothesis was that Wong is getting an inordinate number of mistake pitches that even he can drive.  To check, I went back and watched the pitches he’s gone yard on.

1: 86 mph changeup* down the middle off James Shields at Busch
2: 88mph fastball down the middle off Henderson Alvarez at Busch
3: 95 mph fastball down the middle off Ernesto Frieri at Busch
4: 90 mph cutter middle-low off Justin Wilson at Busch
5: 91 mph fastball middle-in off Yovani Gallardo at Miller Park
6: 85 mph changeup down the middle off Jimmy Nelson at Miller Park
7: 89 mph sinker down the middle off Kyle Lohse at Busch
8: 88 mph fastball down the middle off Brandon Workman at Busch
9: 87 mph slider down the middle off Craig Breslow at Busch
*I think, though it might’ve been something that was supposed to break and didn’t

A lot of bad pitches.  (I checked Pitch F/X to make sure I wasn’t off on my assessment of pitch locations and it said four of his homeruns came middle-in (his best zone), three were down the middle, one was low and in and one was middle-low.  So the four that were “middle-in” were barely so.)  It’s good to know Wong can handle those pitches when he gets them, but he does need them to hit homeruns.  His recent power streak, as you probably supposed, isn’t likely to continue.

IS TREVOR ROSENTHAL OVERWORKED?

> In last night’s loss to the Boston Red Sox, Mike Matheny brought in Trevor Rosenthal to pitch the ninth.  Seth Maness had thrown just six pitches the inning prior, but Matheny opted for Rosenthal, who had thrown 70 pitches in the previous seven days.  He ended up surrendering the game-winning run.

Rosenthal has been the source of a lot of consternation this season as he gets the job done in the messiest way possible.  I’m not worried about him too much long-term given that right-handers have a .439 BABIP against him and that’s not going to hold up.  (It dropped ten points even in a blown save in which no lefties put the ball in play.)  But Matheny’s rush to use him in this game over Maness was curious.  He is possibly of the belief that the ninth is Rosenthal’s even in a tie game, but I had to look to see if this seemingly excessive usage of Rosenthal shows itself in his performance.

He’s had a short career so far so there’s not a lot to draw from, but here are how Rosenthal’s opponents did against him depending on how many days’ rest he was working on.

Zero (40 games): .264/.347/.324          .672 OPS, .402 BABIP
One (44 games):  .183/.259/.274          .533 OPS, .281 BABIP
Two (31 games):  .193/.284/.261          .544 OPS, .297 BABIP
3+ (31 games):     .217/.269/.350          .619 OPS, .288 BABIP

That’s a pretty pronounced difference.

But innings can still be had from Rosenthal, who is a converted starter.  He’s allowed a .485 OPS in outings that lasted more than one inning and while that again is an admittedly small sample, logic allows for a guy who once pitched multiple innings every fifth day would be better suited to go multiple innings in dispersed appearances now as opposed to being used nearly every day.

CONTEXTUAL MLB ATTENDANCE THROUGHOUT HISTORY

> Forbes’ Maury Brown sent this out last night.

 

Brown’s good at what he does, but in this instance this graph doesn’t really tell us anything.  The following is a (somewhat crude) attempt to add some context.  Once you adjust for US population and the number of teams, you get this much less drastic chart:

 

The problem with that one though is that it doesn’t consider the increased wealth of the US.  Median household income data only goes back to 1967 but once you adjust for that you get this even less impressive graph:

Baseball is not dying, but attendance probably isn’t the best way to communicate that fact.

THE KELLY/CRAIG-LACKEY TRADE

> The Cardinals have traded Joe Kelly and Allen Craig to the Red Sox for starter John Lackey.

I like this deal.  If you’ve followed me for a while you know I’ve never been confident in the legitimacy of either Kelly or Craig.  Kelly’s career opponents OBP is .332, and this season his luck has begun to run out as we saw last night when the Padres busted him up.  As for Craig, there’s good reason to believe he’s broken for good at least to some extent, and the Cardinals cannot wait three more years for him to figure things out, especially when Mike Matheny is insistent on starting him over Oscar Taveras.

As for Lackey, he is a very good pitcher with a 3.50 SIERA since returning from Tommy John in 2013, and that’s with half his games being pitched in Fenway.  Next year he is owed the minimum due to a stipulation in his contract that acted as insurance against time lost to elbow injury, and while the Cardinals may have to throw in a little more to keep the 35 year-old from retiring, he’s still likely to come at a reasonable price.

UPDATE: Lackey will take the minimum.

The current playoff race in the NL is very tight.  Three teams are currently within 2.5 games of first in the NL Central and six teams are within 4.5 of the wild cards.  Every contending team pretty much looks the same, and this move along with the one yesterday could easily help to distance the Cardinals from the largely inactive pack.  And the best part about Lackey is they were able to get him without cutting into any more of their minor league depth.  There’s not likely going to be any real regret with this deal.

FELIX DOUBRONT HAS BROKEN THE SYSTEM

> Felix Doubront was a solid pitcher for the Boston Red Sox until a couple hours ago.  In 69 career starts, he’s been a solid league-average player once you adjust for the parks and brutal AL East competition he’s faced during his career.

But this season Boston removed him from the rotation after he spent a month on the DL.  His usage since then has been very limited with an average of one appearance every five games.  This agitated Doubront to the point of telling the media, “If I stay (with the Red Sox), they have to know I have to be a starter.  If I go, the other team is going to give me this chance to be a starter. … [I]f the (Red Sox) say I have to prove myself, I already did man. … It’s (messed) up. So if these guys say I have to pitch to prove whatever, no, they already know what I have.  I showed them what I have, as a reliever and as a starter. … For me, they don’t see the numbers, they don’t care what I’ve done in the past.  It’s hard to be happy like that with these guys.”

The next day, Doubront gave up six earned runs against the Blue Jays in a two-thirds innings relief appearance; the most he’s ever given up even as a starter.  Today, he was traded to the Cubs for a player to be named later.

Doubront’s comments were direct, but he was absolutely right.  He has proven (if you know what to look for) that he can contribute.  The Cubs, who have picked up Jason Hammel, Jake Arrieta, Scott Feldman and Matt Garza after down years, know Dubront can do well, and there he will likely get his wish and start again.

He has in essence solved the good young player’s dilemma of team control, or at least has exposed a way out.  Normally, a player has to spend his first six full seasons with his organization.  In the first full three years they will determine his salary for him no matter how good he is and in the next three he will go to arbitration, where the pay gets better but is still a fraction of what the player is actually worth.  Doubront didn’t explicitly say he gave up six runs on purpose in that game, but what if he had told the media afterwards, “Yes, I gave those runs up on purpose, and I will continue to do so until I’m a starter again”?  The Red Sox would have to give him what he wanted either by letting him start or getting something for their troubles from another team who would.

You would have to establish your talent level ahead of time of course, but what if Giancarlo Stanton went from thirty bombs a year to bunting every time up until he was out of Miami?  Or for a player under contract, what if Troy Tulowitzki let every ball go by him until he was out of Colorado?  You’d have to balance out the fact that everyone would hate you (unless they sympathize with your shared plight), but GMs wouldn’t mind throwing out the stats of your protest games in order to make their teams better.  The Cubs just did, and now they have a solid, cheap starter for years to come.

THE RAMSEY-MASTERSON DEAL

> The Cardinals traded minor league outfielder James Ramsey for Indians starter Justin Masterson today.  Let’s break it down.

Ramsey has been an okay hitter in double-A, posting a 123 WRC+ over 416 plate appearances last season with a higher mark and higher BABIP this year.  123’s good at the MLB level, but in double-A it’s not that impressive.  Nothing’s guaranteed but I would not expect him to be even average offensively once he reaches the Majors.  Still, his defense is apparently really good and I could see him becoming a solid, cheap piece in Cleveland for years to come.

As for Masterson, I find it hard to doubt the Cardinals when they bring in a pitcher regardless of who he is.  With so many successful reclamation projects under their belts, it’s hard to base future expectations on past performance.  That said, the simple fact that Masterson, tenth in groundballs per batter faced since the beginning of last year, will be going from an infield of Nick Swisher (career -0.1 defensive WAR per 150 innings at first base), Jason Kipnis (-0.6), Asdrubal Cabrera (-1.4) and Lonnie Chisenhall (-1.2) to an infield of Matt Adams (+0.2), Kolten Wong (-0.0), Jhonny Peralta (+1.1 last four years) and Matt Carpenter (+0.7) is clearly a good thing and will help to iron out his freakishly high .355 BABIP (.421 with runners in scoring position).

Pitching was the need the Cardinals had to address, with weak links Joe Kelly and Shelby Miller comprising 40% of the starting rotation and the somewhat unknown commodity Carlos Martinez pitching in place of the MIA Michael Wacha.  These are gaping holes that can be massively improved even by an average starter, while for the position players there are no obviously weak positions to fill that are not occupied by someone with a reasonable expectation for success.  (Except catcher, which they opted not to fill with the possibility of an early Yadier Molina return.)

Overall I like the upside of Masterson, though I do seriously wonder if given his self-acknowledged drop in velocity that he was the best they could’ve done for Ramsey.  Again it wouldn’t shock me if Ramsey goes on to be a solid contributor in his career, but the presence of Oscar Taveras, Steven Piscotty and Randal Grichuk in the system does take the edge off of that possibility.  At least the idea behind this trade is good in that it’s meant to be a conservative trade to move an supposedly unneeded piece in order to get the pitching they need to hang with the other four-to-six teams in their current playoff race.  That’s the right way to approach the modern trade deadline when there are several teams in contention and variance in a small sample can hijack everything, even the addition of someone like Jon Lester.

ADJUSTED ATTENDANCE LEADERS

> Did this about a year ago but made a few adjustments this time.

This is the leaderboard for attendance per game once adjustments for population and gross income per capita are made.  Shared markets had their populations split in half and if a team’s expected attendance exceeded stadium capacity as was the case in New York and Washington DC, their expectation was reduced to stadium capacity since they can’t be expected to sell more tickets than they have.

Income and population stats apparently aren’t kept for Toronto so I had to leave them off.

Actual Expected Diff
01. Brewers 33,295 10,931 305%
02. Cardinals 43,399 18,879 230%
03. Reds 31,064 14,284 217%
04. Pirates 28,430 14,899 191%
05. Rockies 34,027 19,307 176%
06. Royals 23,032 13,841 166%
07. Orioles 29,394 22,616 130%
08. Indians 18,019 13,910 130%
09. Padres 26,849 21,086 127%
10. Dodgers 46,488 40,301 115%
11. Tigers 35,006 31,036 113%
12. Twins 28,267 25,681 110%
13. Giants 41,604 39,338 106%
14. Red Sox 36,384 35,955 101%
15. Rays 17,274 18,047 96%
16. Angels 38,304 40,301 95%
17. Cubs 32,794 34,930 94%
18. Mariners 24,344 25,954 94%
19. D-Backs 25,602 27,321 94%
20. Yankees 42,026 49,642 85%
21. Rangers 35,299 44,863 79%
22. Nationals 31,591 41,418 76%
23. Braves 29,321 39,356 75%
24. Phillies 30,322 42,237 72%
25. Mets 26,637 41,922 64%
26. Marlins 21,633 34,099 63%
27. A’s 24,107 39,338 61%
28. Astros 22,616 38,028 59%
29. White Sox 20,692 34,930 59%

AROLDIS CHAPMAN IS AWESOME

> A fun little stat.

Most pitches thrown this season at or above 101 miles per hour:

1. Aroldis Chapman (104)
2. Kelvin Herrera (1)
3. Nobody

Most pitches thrown this season at or above 100 miles per hour:

1. Aroldis Chapman (209)
2. Kelvin Herrera (24)
3. Yordano Ventura (23)

Most pitches thrown this season at or above 99 miles per hour:

1. Aroldis Chapman (298)
2. Yordano Ventura (106)
3. Kelvin Herrera (92)

Most pitches thrown this season at or above 98 miles per hour:

1. Aroldis Chapman (340)
2. Yordano Ventura (289)
3. Kelvin Herrera (227)

Most pitches thrown this season at or above 98 miles per hour:

1. Yordano Ventura (555)
2. Kelvin Herrera (374)
3. Aroldis Chapman (353)

Aroldis Chapman missed the Reds’ first 35 games.

IMPACT OF EACH HOMEPLATE UMPIRE ON THE OUTCOME OF A GAME

> MLB umpires are really bad at calling balls and strikes.  It’s hard to blame them since it’s a job human beings cannot do, but nevertheless the impact is real.  Below are the performances of umpires this year, how many call-able pitches they missed and the estimated number of runs they give to pitchers/take away from hitters per game.  (Per 75 since that’s the average number of call-able pitches in a game.)

Totals are at the bottom, and they are bad.

Umpire Call-able Pitches Outside Strikes Inside Balls Total Missed Runs/75
Brian O’Nora 2555 19% 10% 17% 1.2
Tim Welke 2927 18% 8% 15% 1.1
Doug Eddings 2926 17% 6% 14% 1.1
Angel Hernandez 3098 17% 8% 15% 1.1
Fieldin Culbreth 2834 17% 9% 15% 1.1
Ron Kulpa 2974 17% 8% 15% 1.1
Bill Miller 3058 18% 7% 15% 1.1
Phil Cuzzi 2641 16% 5% 13% 1.1
Mike Everitt 2010 16% 7% 14% 1.1
Jerry Layne 2367 17% 11% 16% 1.1
Will Little 3051 16% 7% 14% 1.0
Hunter Wendelstedt 2278 16% 7% 14% 1.0
Jim Wolf 2215 17% 9% 15% 1.0
Sean Barber 2475 17% 9% 15% 1.0
Clint Fagan 3191 17% 8% 14% 1.0
Kerwin Danley 2595 17% 9% 15% 1.0
Gary Cederstrom 2895 17% 10% 15% 1.0
Paul Nauert 2881 18% 12% 16% 1.0
Marvin Hudson 3200 16% 9% 15% 1.0
Paul Emmel 2843 16% 9% 14% 1.0
Tim Timmons 3116 16% 11% 15% 1.0
Bob Davidson 2878 17% 11% 15% 1.0
Mark Ripperger 3157 16% 8% 14% 1.0
Joe West 2982 17% 12% 16% 1.0
Victor Carapazza 2965 15% 7% 13% 1.0
Brian Gorman 2717 17% 10% 15% 1.0
Mike Estabrook 2697 16% 9% 14% 1.0
Eric Cooper 2733 15% 6% 12% 0.9
Chris Guccione 2507 15% 8% 14% 0.9
Quinn Wolcott 3346 15% 7% 13% 0.9
Cory Blaser 3159 15% 9% 14% 0.9
Scott Barry 2786 16% 9% 14% 0.9
Ed Hickox 2472 16% 9% 14% 0.9
Marty Foster 3116 16% 10% 15% 0.9
Jeff Nelson 3220 16% 10% 14% 0.9
Jeff Kellogg 2470 15% 11% 14% 0.9
John Tumpane 3123 15% 9% 13% 0.9
Jim Reynolds 2627 15% 10% 14% 0.9
Tom Hallion 2655 15% 10% 14% 0.9
John Hirschbeck 278 17% 16% 17% 0.9
Chad Fairchild 1403 16% 10% 14% 0.9
CB Bucknor 3035 14% 8% 13% 0.9
Alfonso Marquez 1515 16% 11% 14% 0.9
Jordan Baker 2513 15% 10% 14% 0.9
Lance Barrett 2720 15% 11% 14% 0.9
Dan Bellino 2785 15% 9% 13% 0.9
Brian Knight 3051 14% 8% 13% 0.9
James Hoye 2769 15% 9% 13% 0.9
Adrian Johnson 2457 15% 11% 14% 0.9
Rob Drake 3033 16% 12% 15% 0.9
Larry Vanover 3081 15% 11% 14% 0.9
Tom Woodring 1806 15% 11% 14% 0.8
Dan Iassogna 2954 15% 11% 14% 0.8
Laz Diaz 3067 16% 13% 15% 0.8
Todd Tichenor 3287 15% 10% 13% 0.8
Tripp Gibson III 3301 14% 8% 13% 0.8
Jerry Meals 2736 15% 11% 14% 0.8
Mike DiMuro 2738 15% 12% 14% 0.8
Gabe Morales 3511 15% 10% 13% 0.8
Marcus Pattillo 1740 14% 10% 13% 0.8
Jim Joyce 1523 15% 10% 14% 0.8
Ted Barrett 3096 15% 10% 14% 0.8
Angel Campos 1171 14% 9% 13% 0.8
Adam Hamari 2760 14% 8% 12% 0.8
David Rackley 2586 15% 12% 14% 0.8
Dale Scott 2793 15% 12% 15% 0.8
Bill Welke 2796 15% 11% 14% 0.8
Gerry Davis 2725 14% 8% 13% 0.8
D.J. Reyburn 2697 14% 8% 13% 0.8
Mark Wegner 2924 14% 11% 14% 0.8
Chris Conroy 2307 14% 8% 12% 0.8
Al Porter 3047 15% 11% 14% 0.8
Lance Barksdale 2921 13% 9% 12% 0.8
Mike Muchlinski 2542 15% 12% 14% 0.8
Manny Gonzalez 2614 14% 10% 13% 0.8
Pat Hoberg 3282 14% 11% 13% 0.8
Mark Carlson 2849 15% 12% 14% 0.8
Dana DeMuth 1544 15% 12% 14% 0.8
Stu Scheurwater 419 15% 13% 14% 0.8
Chris Segal 2597 14% 10% 13% 0.8
Greg Gibson 2650 14% 10% 13% 0.7
Mike Winters 1927 14% 12% 14% 0.7
Tony Randazzo 1460 13% 9% 12% 0.7
Toby Basner 2295 14% 11% 13% 0.7
Seth Buckminster 2279 13% 11% 12% 0.7
Paul Schrieber 3115 12% 11% 12% 0.7
Andy Fletcher 2924 13% 13% 13% 0.6
Jeff Gosney 171 6% 11% 7% 0.1
Jon Byrne 133 8% 16% 11% 0.0
Total 229667 15% 10% 14% 0.9
Follow

Get every new post delivered to your Inbox.