Video: Three Miles of Giancarlo Stanton Home Runs

A plaintive voice from within the internet has suggested to the author that the video embedded here — which features all 37 of Miami outfielder/real-life colossus Giancarlo Stanton’s home runs from 2014 — might be of some interest to at least a portion of this site’s readers. An idea with merit, that.

Of particular note regarding this document: home run No. 19, at the 0:43 mark, which appears as though it should result in little more than a line drive over the first baseman’s head. Also of note: almost every other one of Stanton’s homers.


Game Scores from the First Day of the Arizona Fall League

The Arizona Fall League — which league features a non-negligible portion of baseball’s top prospects — began yesterday in the Greater Phoenix Area and continues until mid-November. As suggested by how Mike Trout was more or less the worst player in 2011’s edition of the AFL — less than a year, it should be noted, before recording the best WAR in all of major-league baseball — there are limits to what any one player’s numbers might reveal about his true talent. That said, the numbers do reveal how the player is performing in the AFL itself — and what follows is intended for that particular end, if probably none other.

Below is a collection of the top-10 game scores both for pitchers and hitters from opening day of this year’s AFL. The equations for the scores are based on alterations Tom Tango has made to Bill James’s classic model. As with Tango’s scores, those which follow are intended to mimic roughly win percentage — such that a game score of 50 is equivalent roughly to a .500 winning percentage; a score of 70, a .700 winning percentage; and a score of 35 or thereabouts, replacement level.

Here are the relevant equations:

Pitcher Scores: 0.2 * TBF + 3 * (K – BB) + 35
Batter Scores: 3 * PA + (13 * HR + 3 * BB – 2 * K) + 35

The pitcher scores are based on kwERA, an ERA estimator which utilizes only strikeouts and walks as its inputs and which serves a preferable alternative to FIP in small samples, as home-run rates require more than a 1,000 batters faced to become reliable. The batter scores are based on a sort of offensive version of FIP and (accordingly) exclude base hits of any sort, as those also require a much larger samples to become reliable.

Top Pitcher Game Scores
Here are the pitching game scores from opening day in the Arizona Fall League, calculated according to the methodology above.

# Name Team Age IP TBF SO BB Score
1 Taijuan Walker Mariners 21 4.0 17 5 0 53
2 Tyson Perez Astros 24 2.0 8 4 0 49
3 Chris Bassitt White Sox 25 2.1 9 3 0 46
4 Paul Sewald Mets 24 1.1 6 3 0 45
5 Mitchell Lambson Astros 23 2.0 7 2 0 42
6 Stephen Landazuri Mariners 22 1.0 7 2 0 42
7 Mark Sappington Angels 23 1.0 6 2 0 42
8 Sam Wolff Rangers 23 1.0 5 2 0 42
9 Felipe Rivero Nationals 22 4.0 20 3 2 42
10 Kyle Zimmer Royals 22 3.2 16 3 2 41

Top Batter Game Scores
Here are the batting game scores from opening day of the Arizona Fall League, also calculated according to the (potentially flawed) methodology above.

# Name Team Age PA BB SO HR Score
1 Peter O’Brien D-backs 23 4 1 1 1 61
2 Greg Bird Yankees 21 5 0 1 1 61
3 Nick Ramirez Brewers 24 4 0 0 1 60
4 Patrick Kivlehan Mariners 24 4 0 0 1 60
5 Jason Esposito Orioles 23 4 0 1 1 58
6 Corey Seager Dodgers 20 5 2 1 0 54
7 Tyrone Taylor Brewers 20 5 1 0 0 53
8 Dalton Pompey Blue Jays 21 5 1 0 0 53
9 Brandon Drury D-backs 21 5 1 0 0 53
10 Darnell Sweeney Dodgers 23 5 1 1 0 51

Three Notes of Assorted Merit

  • By the methodology used here, Seattle’s Taijuan Walker produced the most impressive opening day among all AFL pitchers — not surprising, perhaps, both because (a) he’s talented and also (b) he (along with Washington’s Felipe Rivero) were the only pitchers to record at least four innings.
  • Arizona’s Peter O’Brien led all opening-day hitters by game score, recording both a home run and a walk (along with a strikeout) in four plate appearances. O’Brien received one of the top-10 WAR projections for 2015 among all rookie-eligible players.
  • Kansas City right-hander Kyle Zimmer, also previously among those prospects with promising WAR projections, also started on Tuesday after making his 2014 debut only in mid-August following a lingering lat injury.

The Entire Divisional Series Strike Zones, Vizulalized

I posted a Divisional Series strike zone plot on Monday, and people seemed to like it. Now, since the Divisional round is over (and since we have no more baseball until Friday), I’ve accumulated all the ball/strike data for each series, and am including it below. I’ve split out the AL and NL to avoid visual overload. Again, all data via the indomitable baseballsavant.com.



It’s Clayton Kershaw on Short Rest, Again

Here’s an easy question for you. You need to win the next two baseball games. All else being equal, would you rather start Clayton Kershaw and Zack Greinke, or Clayton Kershaw and Dan Haren?

Right, okay. Couldn’t be simpler. Greinke’s better than Haren is, so you opt for the former. And that’s what the Dodgers are doing in the NLDS against the Cardinals — instead of starting Haren in Game 4 and Kershaw in Game 5, they’re starting Kershaw in Game 4 and planning to start Greinke in a potential Game 5. As it turns out, according to Don Mattingly, this was always the plan, and Haren was only penciled in for Game 4 in case Kershaw didn’t look great after his first start. But as you know, there’s a twist to this. It’s not just Kershaw/Greinke vs. Kershaw/Haren. It’s ~Kershaw/Greinke vs. Kershaw/Haren. And that ~ makes all the difference.

Kershaw is starting today on a day less rest. By pushing him up, ahead of schedule, Greinke would be available on regular rest. One should note, in fairness, that Haren hasn’t pitched in a game since September 27. So, maybe there’s a long-rest penalty. But we know more about the short-rest penalty.

Conveniently, the Dodgers did this exact same thing a year ago, and I mean precisely a year ago, going with Kershaw on short rest over Ricky Nolasco. So that made the equation ~Kershaw/Greinke vs. Kershaw/Nolasco. I wrote about that at the time, and I might as well blockquote myself:

Below, you’ll see statistics for two groups, in postseason play between 1995-2013. The first group is starters who went on three days’ rest. The second group is starters who didn’t. Understand that the first group should be selective for better arms, because you don’t put mediocre starters on short rest in October, or ever. Typically, it’s aces who go on three days’ rest, and the numbers are telling:

Short-rest group: 4.66 ERA, 5.13 RA
Other group: 3.99 ERA, 4.30 RA

On short rest, starters have faced fewer batters, on average. They’ve posted worse game scores, on average. And — maybe most importantly — teams with starters going on short rest have won 33 times and lost 52 times. Now, maybe these teams are worse, which is why they’re starting guys on short rest in the first place, but they’ve by and large given the ball to their aces, and the aces haven’t delivered like usual.

Pitchers in the playoffs lately have been worse on short rest. For the most part, these were pitchers selected because it was believed they’d be good on short rest. It’s been demonstrated, in particular in The Book, that pitchers suffer on short rest, relative to regular rest. So you expect the odds of success to be lower. You lower your expectations. It’s always a case-by-case basis, but when you look at the cases together, you see some separation.

Of course, there’s that other thing. That one most pertinent data point. On three days’ rest, last October 7, Kershaw threw six innings against the Braves, throwing 67% strikes and allowing two unearned runs. The Braves’ two-run inning featured a line-drive single, a groundball single, an error on the first baseman, and a wild pitch. Kershaw whiffed six before being removed after 91 pitches, and his velocity and movement were normal. Indications were that Kershaw was just fine.

And he was fine his next time out. But one data point isn’t more important than a whole group of similar data points, and in Kershaw’s next start, on October 18, he allowed seven runs in four innings. Short rest doesn’t only have an effect the day of — it’s been suggested the effects can linger or show up down the road, as you haven’t allowed your body to fully recover. It’s possible that starting Kershaw early was in part responsible for the bad start a week and a half later.

Arranging things this way lines Kershaw up sooner for a potential NLCS. He’s also presumably learned some things from his first short-rest experience last October. Maybe it benefits Kershaw that he missed time early this season, so there are fewer 2014 miles on his arm. There are innumerable variables here, and the Dodgers believe that Kershaw is up to the task, so we almost have to defer to them. They see the good here. But the history of this is mixed, and real good pitchers have turned in real bad games after resting three days. Clayton Kershaw will be on the mound, but there’s a greater chance he will not be himself. Maybe, instead of throwing 80 out of 100 pretty good pitches, he throws 75 out of 100. Maybe those five pitches are everything. Maybe those five pitches are nothing.

Here’s one way you might be able to think about this and relate to this. There are very few things more important to you than sleep. Maybe nothing’s more important, at least among the things under your own control. Sleep is still a very active field of research, but it’s been demonstrated several times over that getting enough sleep is good for your health, and your mood, and your productivity, and your everything. Sleep is amazing. We should all want to protect our sleep hours, but we’ve also all functioned on less sleep than is recommended. For whatever reasons, we’ve had nights where we’ve had to sacrifice hours, and then the next day we’ve had to function.

Sometimes everything seems fine. Sometimes the next day is awful. You might feel your brain lagging, you might feel less creative, you might be quicker to temper. I’ve written decent baseball articles on little sleep, and I’ve written awful baseball articles on full sleep, but on average, we have better days after sleeping well. If disruptions pile up, it’s worse, and several nights of bad sleep are worse than one night with bad sleep, but if you examine enough people, the day after not sleeping well, they’ll perform below their norm. Maybe not dramatically, and when you have a bad day you might not automatically blame it on not spending enough time in bed, but the effects can be both very subtle and very real.

Usually, if you have to lose some hours of sleep, you don’t freak out. You know you can manage, because in the past you’ve managed well enough. Maybe sometimes there’s been no difference at all. You don’t change your expectations for the day because you slept for five hours instead of seven or eight. But you’re more likely to be different, and worse than yourself, and if we don’t think about that enough, maybe it’s because we still underestimate the importance of rest.

Clayton Kershaw, basically, is going to work after a shorter night than he’s used to. He’s still going to look like himself, and he’s still going to demonstrate the same general skills. If there’s a difference, it might only be at the margins. But then, sometimes baseball’s all about the margins. Everybody in the game has got the talent.


Transcriptions Are Unfair, In a Way

Bruce Bochy is a good manager. There’s no way around that one, he’s got the wins to back him up. And he gives plenty of press time, talks well enough, and knows the game backwards. When you have a conversation with him, it feels normal, like you were talking baseball with a knowledgeable guy. If there’s a weird phrasing in there, you work the sentence around the quotes and get the most important piece out of the conversation.

But in the postseason you get transcripts of these conversations. And, well, they’re unfair.

And funny.

Q. Belt caught stealing, was there a sign missed?
BRUCE BOCHY: I’d say it’s kind of, you know, but it’s — I’ll leave it at that.

Q. After the throw, your third baseman went down, the trainer went out; what was hurting?
BRUCE BOCHY: I don’t know, I haven’t — you talking about Pablo?

Q. Why is Vogelsong a good man to be pitching this fourth game?
BRUCE BOCHY: Well, he’s one of our starters.

That’s just three random questions in one ten-minute press conference after the game. With a slight bit of context taken out in each case. Seen this way, these real-life answers paint a silly picture.

But if you were having a conversation with him in the dugout before a game, you would have learned that he didn’t really want to leave his first baseman out to dry, that he doesn’t think of his players by their role, and that he has confidence in Ryan Vogelsong.

Try transcribing a random conversation you have with your friends and you’ll see. Transcriptions are unfair, in a way.


2015 Steamer Projections!

The 2015 Steamer Projections are now live on the site! Much thanks goes out to Jared Cross, Dash Davidson, and Peter Rosenbloom for putting these together every year.

We have two different playing time allocations for Steamer projections this year:

Steamer – This uses the playing time projection from our depth charts. These are temporarily using playoff rosters, so there may be the occasional weird playing time allocation. Playing time may be updated on a nightly basis.

Steamer600 – This version uses a static 600 PA (450 PA for catchers), 200 IP for starting pitchers, and 65 IP for relievers.

The regular Steamer projections can be found on the player pages, and both Steamer and Steamer 600 can be found in our projection section.


The Year in Multi-Run Bunts

Update: one thing I missed was Buster Posey yelling “three!’ with the ball on the ground. So blame him too! Bad suggestion!

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In Game 2 of the NLDS against the Giants, the Nationals could manage just a single run in 18 innings. In Game 3, the Nationals scored twice that many runs on what was intended to be a sacrifice bunt by Wilson Ramos. Behold, Madison Bumgarner, ever aggressive:

If I’ve done this right, that was the fifth multi-run bunt of 2014, and the first since the end of August. All five of them have scored two runners. Here are the videos, and they go about as you’d expect.

The Bumgarner error lifted the Nationals’ odds of winning from 65% to 88%. Interestingly, had Bumgarner taken the out that was being given to him, the Nationals’ win expectancy would’ve remained 65%. Instead Bumgarner tried to get the lead runner, and that would’ve been an important out — the Nationals’ odds would’ve been dropped to about 57%. Sometimes, it definitely makes sense to play the bunt aggressively, if you think you have a chance. The problem isn’t just that Bumgarner made a bad throw; it’s that he made a bad decision in the first place. You throw to third in that situation if you have a decent shot of getting the runner. Bumgarner had no shot, by the time he was in throwing position.

This isn’t a great picture, but it’s the best I could get and it tells you enough:

bumgarnerthrow

With the ball still, I don’t know, 15 feet away, the runner’s arrived at third base. We’re talking about fractions of a second, so it’s not like the runner was safe by a mile, but Bumgarner’s odds were way too low to justify the attempt. The ball was bunted toward first base, and Bumgarner should’ve thrown toward first base, and he certainly realizes that now. He probably realized it right after the ball was out of his hand. Aggressiveness got the best of him in a stressful situation and the Nationals never looked back once the ball flew by Pablo Sandoval.

If it’s any consolation to Madison Bumgarner, the Giants didn’t lose because of the error — they mostly lost because they couldn’t score runs. But the game’s biggest play came about because of a bad decision, and now Bumgarner will have to watch from the bench as his team tries to finish off the Nationals without him. The Nationals wanted to give the Giants an out. The Giants gave the Nationals two runs. Sometimes baseball teams are way too polite.


Kris Bryant’s Very Earliest 2015 Projection

Jared Cross has recently submitted to FanGraphs the first iteration of his Steamer projections for 2015. Though unavailable in full as of yet, said projections appear on individual player pages now, and a brief inspection of them reveals that the system is very optimistic about Cubs third-base prospect Kris Bryant. Bryant’s line of .265/.344/.489, adjusted for league and park, is 30% better than league average — a performance worth nearly 20 runs above league average when prorated to 550 plate appearances.

Below is Bryant’s prorated line, with default estimates of zero both for baserunning and also UZR (leaving his positional adjustment for third base as the only measure of defense).

PA AVG OBP SLG BABIP wRC+ BsR Off Def* WAR
550 .265 .344 .489 .324 130 0 19 2 4.1

Bryant recorded identical 14.5% walk rates in identical 297-plate-appearance samples at Double- and Triple-A, respectively, this season — a product of his batting eye, one assumes, but probably even moreso pitchers’ unwillingness to throw him strikes. His 43 home runs represents the highest total this season in the minor leagues.

Also notable is Bryant’s favorable BABIP projection. Steamer tends to be rather conservative with BABIP for players who’ve recorded zero major-league plate appearances. This isn’t the case for Braynt, however, for whom Steamer projects a distinctly above-average figure of .324.

To get a sense of where this Steamer projections might place Bryant among his major-leauge peers, here’s short list of third baseman from 2014 who recorded both (a) a wRC+ of 125 to 135 and also (b) at least 500 plate appearances:

Name Team PA AVG OBP SLG BABIP wRC+ BsR Off Def WAR
Anthony Rendon Nationals 683 .287 .351 .473 .314 130 7.4 30.7 9.2 6.6
Josh Donaldson Athletics 695 .255 .342 .456 .278 129 -2.8 19.1 16.7 6.4
Kyle Seager Mariners 654 .268 .334 .454 .296 126 -2.2 16.4 12.9 5.5
Avg 677 .270 .342 .461 .296 128 0.8 22.1 12.9 6.2
Per550 550 .270 .342 .461 .296 128 0.6 17.9 10.5 5.0

It’s probable that all three of Donaldson, Rendon, and Seager are defensively superior to Bryant. Among third basemen, however, only Adrian Beltre (141 wRC+, 5.8 WAR) and Josh Harrison (137 wRC+, 4.9 WAR) out-hit this triumvirate.


The Postseason Strike Zone, Thus Far, Vizualized

According to Google.com, this how much an umpire makes yearly:

A Major League umpire’s starting salary is around $120,000, with the senior umps earning up to $350,000. That may sound like a lot for what seems to be six months’ work, but the umpire’s season is considerably longer than that with Spring Training, All-Star Games and postseason play added into the mix.

OK. Call me naive, but $120,000 seems like a lot for 12 months work. I know many people who would take that salary for 24 months of work, in fact. The point is, umpires do OK for themselves. And I’m fine with that, for the most part. Yes, it’s a handsome sum, but umpires have a pretty tough job, all things considered.

In our Game 1 chat, Dave Cameron and I touched briefly on the announcers for the Postseason games. I won’t paste it verbatim, but the gist was that though the announcers perhaps weren’t the greatest choices, it’s very hard to announce baseball. A character trait/flaw of mine is to always be sympathetic toward people who have jobs that I would find difficult, and therefore I tend to cut them some slack. I do the same for umpires. They have to have laser-like focus all the time, people boo them incessantly, and every decision they make is now available for people to see on the Internet. We should absolutely hold them to a high standard, don’t get me wrong, I just think it’s a super-weird and unforgiving job. Now that my conscious is somewhat clear, here is every ball and strike call of the Postseason thus far (all data via baseballsavant.com):

You can filter by umpire and pitch result using the buttons on the right. The strike zone used for the Gameday streams is included for reference. Hovering over a pitch will give you all the deets. I won’t comment too much on the overall performance — you can click around to get a general idea of what’s going on. But I will comment on that one random ball in the middle of the zone. It was thrown by Phil Coke during the eighth inning of the blowout Game 1 of the Orioles/Tigers series.

cokecall

That’s pretty bad. But it wasn’t 100% the umpire’s fault.

cokebadball

PitchF/X and TBS’s system disagree on the actual location, but that’s the pitch. It’s a fastball, and Alex Avila totally whiffs on it. When a catcher has to dive to one knee to catch a pitch, it’s gonna be hard for an umpire to call a strike. It’s reverse framing, so to speak. It looks like their signs got crossed, but we can’t know for sure.

I plan on updating this data as the Playoffs progress, so stay tuned for that. In the meantime, go forth and spout your many concerns in the comments. Or privately among friends. Or not at all. It doesn’t really matter to me.


An Asdrubal Cabrera Story in Three Pictures

The Nationals lost, so, bummer for them. Asdrubal Cabrera homered, so, that’s kind of neat. He homered against Hunter Strickland, who threw this fastball in the high-away quadrant:

cabreradinger

Batting lefty, Cabrera pulled the dinger down the line:

cabreradinger2

Using the interactive spray chart tool, here is where lefty hitters this season hit 97+ mph fastballs up and over the outer half:

lhb2014highawayheat

Asdrubal Cabrera was thinking fastball, probably.