Archive for Mets

Yoenis Cespedes and the Mike Trout Treatment

We all learned something about Mike Trout last year. If you didn’t, that means you weren’t reading enough Jeff Sullivan, and that’s your first mistake. Trout’s natural swing plane carries through the bottom of the zone, making him one of the game’s best low-ball hitters. No swing is without holes, though, and so what we learned is that Trout had something of a vulnerability against the high heat. When the league began to figure this out, the league began to adjust, as it’s wont to do. Sullivan covered this league-wide adjustment to Trout at length last season. The nuts and bolts are as follows: at the beginning of 2014, Trout was getting high fastballs about 29% percent of the time — an entirely unexceptional rate. By the end of the season, he was seeing them around 40% of the time, by far the highest in the league. First came the information, and then came the subsequent approach. Pitchers were able to gain a bit of an edge against Trout, and any edge against the best player in the world is welcome, from the pitcher’s standpoint.

Here is a heatmap similar to one Sullivan used in the original Trout piece, from 2014:

Screen Shot 2015-10-27 at 10.39.10 AM

Now here’s a heatmap of Yoenis Cespedes, from this season:

Screen Shot 2015-10-27 at 8.58.02 AM

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Edinson Volquez at Peak Stuff

After Edinson Volquez last pitched, the Jays batters had a fair amount to say about his stuff. Yes, his velocity boost has been third-best this postseason, but Jose Bautista and Chris Colabello told Jordan Bastian that his movement was different from how they remembered him.

From Bastian’s piece at MLB.com:

“His fastball is playing with a little rise, rather than sink,” Blue Jays first baseman Chris Colabello said. “When he’s lower 90s, I think he has a tendency to sink a little bit more. Right now, it’s more of a lateral movement, or an upshoot.”

“His fastball wasn’t running that much,” Bautista said. “I think he was trying to throw a little harder and it was straighter. I kept hitting the bottom of the ball. I was expecting to see more sink.”

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Identifying Potential Strike Zone Disputes

There’s this thing about the World Series: It’s the only baseball left. There are two teams, and they need to finish before the offseason can begin. This is the most meaningful baseball on the calendar. After all, the World Series is the whole point. So you’ve got everyone focused on at least four games — and maybe as many as seven. There are days off in the lead-up, and there are days off in the middle. During that time, almost every single thing is analyzed. Every stone in the stony field gets turned in the World Series, which is also funny because it’s one series — and it’s baseball — which means we might as well not do any analysis at all. The long and short of this paragraph is this: There’s no harm in talking about how Salvador Perez and Travis d’Arnaud receive pitches.

By the numbers at StatCorner, and by the numbers at Baseball Prospectus, d’Arnaud is a better receiver than Perez. Perez seems to be somewhere in the area of average, while d’Arnaud is one of the better receivers. I could just leave the point here, but what might be more interesting are the juicier, more granular details. Like, with hitters, you could stop at wOBA, but why not look at sub-components like walks and power? I’m going to borrow from an excellent post-ALCS article by Tom Verducci. There’s a lot in there that’s worth your time, but I’m drawing from just one section.

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JABO: Will a Long Break Cool the Mets Off?

We know the New York Mets dominated the Chicago Cubs in the National League Championship Series. the Cubs never held the lead; the Mets scored in the first inning in all four games; they were aggressive on the basepaths; their pitching was outstanding; Daniel Murphy homered, then homered again, then homered a few more times. We could list many more ways the Mets were historically successful in the NLCS. Let’s just say this instead: while the Cubs are set up for a very successful future, the Mets deserve to be in the World Series.

Because of the level of supremacy they showed against the Cubs, the Mets are enjoying a lengthy break between the NLCS and World Series: a five day lull, to be exact. That’s usually something that happens when one of the Championship Series results in a sweep, as the sweeping team has to wait around for the prescheduled first day of the World Series to start (which can be a lengthy interval). When Game One begins tomorrow, will that five days have mattered for the Mets?

Naturally, this is a topic that elicits differing viewpoints: one side might say the extra rest is beneficial for recharging tired arms and bodies, while the other side might say that rust accumulates with too much down time. Starting pitchers might get to rest elbows and shoulders that already have over 200 innings on them, but a hot-hitting team (as the Mets were in both the NLDS and NLCS) might cool off with an extended break leading up to the World Series. If you’ve watched or heard postseason baseball talking heads, you’ve almost surely witnessed both of these arguments being made.

That’s most likely because we have easily graspable examples that fit those narratives. There were the 2007 Colorado Rockies, who won 21 out of 22 games leading up to the World Series and were about as hot as any team has ever been over that number of games. Then they had an eight-day break before the Fall Classic: swept by the Boston Red Sox, they scored only 10 runs in four World Series games.

Fixating on those types of examples is easy to do: most of all, they’re memorable. But is what they tell us true? Do longer breaks between the LCS and World Series negatively or positively impact how teams perform? Let’s find out.

Using Baseball Reference’s playoff section, I’ve pulled all of the playoff series since 1969, the first year that baseball had League Championships (i.e. playoffs with four total teams). I then calculated how many days off each team that made it to the Fall Classic had between the Championship Series and the World Series. I then crunched some of the results in a number of ways.

First, let’s start by looking at how much rest teams usually get before the World Series, and how that has changed over time. Here’s a chart of how many days teams had off before the start of the Series for our time period:

DaysOffWSTeams

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How the Royals Fare Against Power Pitching

Allow me to oversimplify the upcoming World Series: earlier in games, the Mets are going to send out pitcher after pitcher armed with a shoulder bazooka. The Royals will try to deflect their attacks by swatting the shells away, which they’re particularly good at doing. If the Royals do well enough swatting, then they’ll take the advantageous position, trotting out their own bazookas. And the Mets won’t have much defense against that. In case this oversimplification failed to make anything clearer, the Royals just want to get leads to their bullpen. Which means a critical match-up will be the Royals’ famously contact-heavy bats against the Mets’ famously velocity-heavy arms.

Sometimes, when you’re looking for keys and distinguishing characteristics, you really have to dig and get at the subtleties. This one is super obvious. The Mets are driven by their hard-throwing starters. The Royals are driven at least in part by their aggressive, ball-in-play lineup. The Mets’ rotation is historically powerful. The Royals’ lineup is historically good at touching the baseball. It’s something that’s just begging to be analyzed. And, it has been analyzed already. I’ve just decided to go about it a different way.

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The Mets & Royals in a Clash of Styles

No matter what happens in the next seven games, we’ll be motivated to learn a grander lesson from it. Not many picked this World Series matchup anyway, so we’ll search ourselves for a takeaway. Why did we look the wrong way?

The problem with going too far down this rabbit hole, other than not finding very much, is that these teams couldn’t be any more different. Name a facet of the game and the Mets and the Royals are on opposite sides of the leaderboard. You have to squint to get them in the same neighborhood anywhere really.

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The Nastiest Pitches of the World Series, Almost Objectively

In any given nine-inning baseball game, there are upward of 250 pitches thrown. More than half of those pitches, more often than not, are going to be thrown somewhere in the range of 90-97 mph. They’re all going to move somewhere between two and 12 inches, and most of them will travel through the same theoretical three-square-foot box. It’s easy for these pitches to begin blending together. That’s why we appreciate the ones that truly set themselves apart. These ones are easy to spot.

This is similar to a post I did last year around this time. The mission: find the 10 individual pitches deemed nastiest by my subjective criteria, hopefully learn something about those pitches and what it is that makes them so effective, and then see them in action so we have a reference point and something extra to keep an eye out for the in World Series.

How it’s done: I expanded a bit on last year’s criteria. Last year’s criteria, it was just whiff rate and ground ball rate, per individual pitch. Those are the two best common results-based outcomes a pitch can have. A complete swing-and-miss, or the weakest contact of the three main batted ball types. This year, I folded in two process-based characteristics along with the results, adding velocity and spin rate, with spin data coming from Statcast. Two big things that make a pitch aesthetically pleasing, to us, are speed and movement. Velocity and spin rate should capture that. Two big things that make a pitch effective, to pitchers, are whiffs and grounders. We’ve got that down. Oh, also, an executive decision I made and forgot to mention: for four-seam fastballs, I substituted pop-up rate for ground ball rate. Felt like the right thing to do, given four-seams are the one pitch, more than any other, thrown up in the zone with no intention of getting grounders. Anyway, I calculated z-scores for each of the four selected characteristics, for each pitch type, added them up, and found 10 pitches that stood above the rest. These are those 10 pitches.

No. 10: Wade Davis – Knuckle Curve


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How Unlikely Is Daniel Murphy’s Streak?

Daniel Murphy chose a really good time to play some really good baseball. He’s hit home runs in six straight games, with a chance to extend that streak once the World Series commences on Tuesday. This is a record for postseason play, as you may have learned if you’ve paid any attention to baseball reporting in the last three days.

However, it’s certainly not unheard of. Since 1914, as far back as Baseball-Reference’s game-by-game records go, 28 players have managed a regular-season home run streak of six or more games*. I will not overload you with the full list, but it includes names both very familiar (Gehrig, Mays, Griffey, Bonds) and obscure, folks you’d fully expect on the list and others who would make you scratch your head.

* The standard I used allows a streak to remain intact if a player had no plate appearances in a game, similar though not identical to the official rules governing hitting streaks. This actually arose among the 28, notably with Graig Nettles. In 1984, Nettles hit homers in two straight games, got two games off, homered in his next two, took two more off, and homered in the following two. I also permit a streak to carry over between seasons, which put 1997-98 Mark McGwire on the list.

Going into October, Murphy would have been one of the head-scratchers. In his seven seasons, his highest home-run total is 14, produced this season. He simply lacked the power to be a reasonable candidate for such a feat — until he flipped the switch and lit up the Dodgers and Cubs.

Is Murphy the unlikeliest of the players who have put together a homer streak of six games or more?

To produce an answer, I looked at the seasons in which those on the list did the deed, and took their rates of home runs per plate appearance (HR/PA). I went by season rather than career because such a streak is an event likeliest at a player’s peak, and the chances go up much more than linearly with rising rates. The HR/PA stat seemed better than raw homer totals because probability per time up is more germane to the nature of a streak than mere accumulation.

As I’ve noted, homer streaks are no shock with some players. In 2001, Barry Bonds homered in 10.99% of his plate appearances. He had two separate six-game homer streaks, one in April and one in May. This inaugurated the golden age of home run streaks. Ten of the 28 streaks occurred in just six years, from 2001 to 2006. (As for why they happened in that span, discuss among yourselves.)

Bonds’ 2001 is the top HR/PA rate on the list. The lowest would belong to… Daniel Murphy, with 14 homers in 538 PA for a 2.60% rate. The hitch is that he’s made his streak in the postseason, so regular season numbers are, if not irrelevant, at least incomplete. Adding his postseason numbers to the regular season gives him 21 for 577, coming out to a 3.64% rate.

That’s a very low rate for a homer streaker, but two other players beat him out. Second lowest on the list is George “Highpockets” Kelly. He made his streak for the New York Giants in July 1924, in a year when he hit 21 round-trippers in 627 appearances for a rate of 3.35%. (Interestingly, despite the Polo Grounds being a great place for dead-pull power, Kelly’s whole streak was on the road, mainly at Wrigley Field.)

For the lowest rate on the list, we go to someone who actually beat the streak criterion. Out of the first 28 players with homer streaks at least six games long, six have gone longer. Tied for the record at eight are Dale Long (1956), Don Mattingly (1987), and Ken Griffey Jr. (1993). Behind them, at seven games, are Jim Thome (2002), Barry Bonds (2004), and the 2006 season of our homer-rate anchorman… Kevin Mench.

Mench, who honest to goodness I did not remember had played baseball until he popped up on this list, did not string together his streak in his best power season, or second-best, or third-best. He did it with a mere 13 home runs in 482 PA, a rate of 2.70%. He hit more than half of his season’s homers in an eight-day, seven-game stretch in late April, against the Devil Rays, A’s, and Indians. Six of the games were at home in Arlington, Texas.

That combination of obscurity, low power, and pushing his streak to a seventh game makes Mench’s run easily the most improbable of the 28 who did it in the regular season. As for being more unlikely than Murphy’s, so far it is, with two caveats.

First is degree of difficulty. Murphy’s done his streaking against, not just playoff teams, but super pitchers. His streak includes dingers off Clayton Kershaw, Zack Greinke, and Jake Arrieta, who will be gold, silver, and bronze in some order in the NL Cy Young race. Jon Lester’s no slouch either. Mench’s streak included three games against the Devil Rays, who were still in the laughingstock phase of their existence.

The second caveat is that Murphy’s streak is not over yet. It may fade out in the long wait for Game One, but it’s a bold prognosticator who would take that as a given. If he can stretch it for one more game, the title may be his. If he manages two, it’s definitely his.

That just one more reason to look forward to Tuesday. And maybe Wednesday.


Examining the Mets’ Full-Count Aggression

Sitting on the desk of nearly every manager in baseball before any given game are several large packets of information, compiled by that team’s analytics department about that day’s opponent. The packets are thick, and the front pages typically contain images with which you’re likely familiar simply from reading FanGraphs every day. Red and blue heat maps, sometimes varying by handedness, pitch type or count. Spray charts, usually with lines as the visual component rather than dots, and almost always split up by ground balls, fly balls and line drives. The middle and back pages, presumably, get more and more detailed, and the most interesting thing I’ve seen is command data for each opposing pitcher, split up by pitch type.

Condensed versions of these packets are placed in players’ lockers several hours before first pitch, met with varying levels of reception. Some can be seen rigorously studying them, others will give them one quick glance over before crumpling them up and throwing them in the trash.

Information is a good thing, but sports are still physical and reactionary by nature, and for some players, information overload certainly exists as a con. In all reality, for a middle-of-the-season noon game against the Phillies on getaway day, it probably doesn’t matter too much. We’re past that point in the season, now. The scouting reports are to be read. The packets are to be studied.

Over the next week, one American League team will be learning everything there is to know about the New York Metropolitans. Their unique individual tendencies, strategies, weaknesses and strengths. Where they hit the ball, where they pitch the ball, where they stand in the field, how they react to different situations and more. In the grand scheme of things, the advantages to be gained from this information are small, sure, but every little advantage in the World Series is an advantage in the World Series.

Somewhere in the middle of that packet in the manager’s office may exist a page about a team’s tendencies, at the plate, by count. It’s a page that might be skipped over in July. It’s not a page that gets skipped in October. No pages get skipped in October.

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Edinson Volquez and the Postseason Velocity Bump

Twitter was apoplectic. Drug tests were demanded. Old suspensions were being brought up. Hands were wrung. Edinson Volquez? Throwing 96s and 97s deep into his start? Where is this velocity coming from? This can’t possibly be right.

Turns out, Volquez hasn’t even added the most velocity this postseason. He’s fourth or fifth among starters, depending on your definition, and he’s not too far from the the norm that we should be bugging out. The postseason, like the debut, comes with adrenaline, and that adrenaline leads to a bump in velocity. Baseball is that simple sometimes.

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