Archive for Rangers

How Can We Help Andrew Cashner Bounce Back?

Andrew Cashner just signed a one-year deal with the Rangers, the kind of deal you might call a pillow contract, an opportunity for Cashner to bounce back and get on the market with better numbers behind him. That’s the benefit for Cashner. As for the Rangers, they’re happy to get a relatively cheap veteran with some upside for the back end of their rotation.

The only problem with this scenario is that Cashner has spent two years trying to bounce back, and has met with poor results, even on the back of high-velocity stuff that looks like it should do better. There’s got to be a way to get more from 94 and a mullet.

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Andrew Cashner, Deep in the Heart of Texas

Another domino is about to fall in the free-agent pitching market. The market would make tapioca look exciting, yes, but someone has to throw innings for baseball teams, and the Rangers have decided to have Andrew Cashner throw some of those innings for them.

Cashner has spent most of his time with the Padres and was traded to the Marlins around the trade deadline. Good 2013 and 2014 campaigns were followed up by a 2015 that saw a downward trend and then a 2016 that was a minor disaster. His strikeouts per nine fell while his walk rate in the other direction. His 12 appearances with the Marlins went even worse.

But, because of the state of the open market, Cashner was one of the more interesting options. His big fastball has always made him appealing — and, indeed, he’s experienced success for some time. But injuries have derailed him of late and a fastball that once averaged 96 mph is down to 94, per Brooks Baseball.

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Prime Ball-in-Play Traits of the 10 Playoff Teams, Part 2

The playoffs roll on, with subplots galore, most of them involving pitching-staff usage patterns that are long overdue. Meanwhile, let’s conclude our two-part series examining macro team BIP data for the 10 playoff teams, broken down by exit speed and launch angles. (Read the Part 1 here.) We’ll examine what made these teams tick during the regular season and allowed them to play meaningful October baseball. It’s more or less a DNA analysis of the clubs that made it to the game’s second season.

First, some ground rules. For each club, all offensive and defensive batted balls were broken down (first) by type and (second) by exit speed. Not all batted balls generated exit speed and/or launch angle data; just over 14% were unread, most of them weakly hit balls at very high or low launch angles. How do we know this? Well, hitters batted .161 AVG-.213 SLG on them, a pretty strong clue.

BIP types do not strictly match up with FanGraphs classifications. For purposes of this exercise, any batted ball with a launch angle of over 50 degrees is considered a pop up, between 20 and 50 degrees is a fly ball, between 5 and 20 degrees is a line drive, and below 5 degrees is a ground ball. For background purposes, here are the outcomes by major-league hitters for each of those BIP types: .019 AVG-.027 SLG on pop ups (5.7% of measured BIP), .326 AVG-.887 SLG on fly balls (30.9%), .658 AVG-.870 SLG on liners (24.4%) and .238 AVG-.260 SLG on grounders (39.1%).

As you might expect, there are massive differences in production within BIP types based on relative exit speed. If you hit a fly ball over 100 mph, you’re golden, batting .766 AVG-2.739 SLG. If you drag that category’s lower boundary down just 5 mph, however, you get to the top of the donut hole, where fly balls go to die. Hitters batted just .114 AVG-.209 SLG on fly balls between 75-95 mph. All other fly balls — yes, even including those hit under 75 mph — fared much better, generating .387 AVG-.786 production.

Line drives tend to be base hits at almost all exit speeds. All the way down to 75 mph, hitters bat over .600 on batted balls in the line-drive launch-angle ranges; down to 65 mph, hitters still bat around .400 range in each velocity bucket. At 65 mph and higher, a liner generates an average .673 AVG-.889 SLG line. Under 65 mph, liners tend to land in infielders’ gloves; hitters batted just .170 AVG-.194 SLG on those. On the ground, hitters batted a strong .423 AVG-.456 SLG on grounders hit at 100 mph or higher. Under 85 mph, however, the hits dry up almost totally, with hitters producing a .107 AVG and .117 SLG. Between 85-100 mph, hitters bat closer to the overall grounder norm, at .267 AVG-.294 SLG.

With that as a backdrop, let’s conclude our look at each playoff club’s offensive and defensive BIP profiles. Last time, we profiled the Orioles, Red Sox, Cubs, Indians and Dodgers; today, we’ll look at the other five, in alphabetical order:

New York Mets
Two of the 10 playoff teams played well over their true talent this season, at least based on my BIP-centric method of team evaluation. Both will be covered today. First, the Mets hit significantly more pop ups than their opponents (+69), not including untracked ones in that 14% “null” group. On the positive side, the Mets hit 160 more fly balls than their opponents; they were a whopping +86 vis-à-vis their opponents in the 95-105 mph buckets. This explains why they hit 66 more homers than their opponents.

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The Rangers Are Facing a Difficult Winter

There’s no such thing as a good way to lose in the playoffs, but the worst way might be getting swept in the first round. It also might not, I don’t know, but it can feel so unfairly abrupt. The Rangers spent six months working on building the best record in the entire American League. It all came to an end in three games. That quickly, the mental calendar flips, and after another year spent entertaining dreams of the World Series, it’s time now for the Rangers to think about the season to come.

And this promises to be a difficult offseason for them. In fairness, it’s always some kind of difficult offseason for everyone, every time. But the Rangers need to identify exactly where they stand. And there are going to be several holes for them to fill, with limited financial flexibility. Nothing about next year’s Rangers is guaranteed, and there’s work to be done if they want to even contend.

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Kevin Pillar Hit a Stupid Home Run

The recipe for winning in the playoffs really shouldn’t be that complicated. You want your good players to do well, and you want the rest of your players to do well enough. It shouldn’t take any more than that, so, for the Rangers, they came into the ALDS against the Blue Jays hoping to lean on Cole Hamels and Yu Darvish, which is totally fine. Those are two outstanding pitchers; you expect them to have outstanding games. Hamels, yesterday, allowed seven runs, and couldn’t get out of the fourth. Darvish, today, allowed five runs, and couldn’t get into the sixth. Now the Rangers are probably screwed. What do you do? They just got baseballed.

Darvish’s problem was that he allowed four homers. And I’m not going to try to defend him — you have to work pretty hard to give up four homers. But we should at least be able to excuse him for one of them. Behold Kevin Pillar doubling what was, in the moment, a one-run lead. I’d argue that Pillar might’ve done a worse job of executing here than even Darvish did. No, that sounds stupid, but, you know what I mean. What is this!

Literally just the other day, Pillar knocked a double against a pitch that was similarly high, but that double could’ve been caught, and at least the pitch was somewhere over the plate. Pillar went up and Pillar went in to take Darvish yard, and I just honestly don’t know what you’re supposed to do with this. This isn’t the pitch that Darvish wanted to throw, but it should’ve just put him behind 3-1 in the count, not 3-1 on the scoreboard.

pillar

Here’s a plot of all the 2016 home runs, with data borrowed from Baseball Savant. I put righty and lefty home runs on the same scale, such that pitches on the left are inside, and pitches on the right are outside. You can easily see here that Pillar’s home run is exceptional, relative to the pack.

pillar-home-run

Maybe it’s not the single most exceptional home run. Maybe it is? I don’t know. But it’s out there. It’s above most of the group, and it’s to the left of most of the group, and it’s both of those things at the same time, which makes it bizarre. It doesn’t reflect well on Pillar that he swung at this pitch in the first place while ahead in the count. It’s probably no mystery why Pillar is the owner of a career 85 wRC+. But on the other hand, maybe that is a mystery, because if Pillar can go yard against a pitch like this, what’s to stop him from going yard against almost literally anything?

I am a professional baseball analyst, writing for a website founded upon baseball analysis. So often, around this time of year, my analysis comes down to a “welp.” Pillar put a…good? swing on the ball. I don’t even know, man. But it sure was a dinger, all right.


Even Yu Darvish Makes Adjustments

You get into a bubble sometimes. Even when that bubble doesn’t look like other bubbles, it’s there insulating you from seeing something you should see. I’m always looking for that new thing, that change, that great new pitcher, that guy overperforming his expectations. That’s the fun thing to look at! An ace, pitching like an ace again, with wipeout stuff? Huh. Somehow, that might be my blind spot.

But then again, sustained excellence can do that to you. We didn’t really write about Jon Lester this year, for example. Jon Lester was excellent, of course. But he was excellent in the way he’s usually excellent. It’s worked out for the Cubs, but there’s material there for analysis.

Corinne Landrey’s been the only one to write about Yu Darvish so far this year, even though he was the second-best starter by strikeout percentage in 2016 while also the author of the best walk rate of his career. We should regularly write about excellence, and here’s Darvish taking on the Blue Jays for Game Two. Here’s an opportunity to pop the Yu bubble.

The thing is, it looks like he hasn’t changed much since he was so excellent before his Tommy John surgery. It looks that way. I’m not sure that’s true.

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The Rangers’ Worst Swings Against Marco Estrada

When I used to come in to pitch, I’d take my eight warm-ups from the mound, and almost without fail I’d hear loud shouts from the other dugout that “this guy’s got nothing!” For the most part this was because they were right, I had nothing, I should’ve been terrible, but what I think kept me from being truly terrible was their own overconfidence. I was never the best pitcher on my team, and opponents would swing like I was the worst pitcher on my team, but thanks to that overeager aggressiveness, there were surprising numbers of clean whiffs and pop-ups. I was as surprised as they were, but at some point it stops being a fluke.

Marco Estrada is better than he’s ever been. When he was younger, he threw about a league-average fastball. Now he’s four ticks below the league mark. Marco Estrada is a finesse pitcher, and as a general rule, finesse pitchers are worse than non-finesse pitchers. But the best ones — they succeed in part because of their own abilities to locate, but they succeed also by turning hitters against their own selves. Power pitchers force a hitter to shorten up. Finesse pitchers tempt a hitter to lengthen. They tempt hitters to come out of their shoes, as if a 500-foot homer means more than its 400-foot equivalent. Facing a Marco Estrada is a test in self-discipline. As we’ve all experienced for ourselves, when pressure starts to mount, self-discipline can unravel.

Estrada dominated the Rangers on Thursday, Texas hitters frequently swinging out of their shoes. Even knocking Estrada around might not have done much: The Blue Jays won by nine runs. But Estrada came close to a complete-game road shutout, and his finesse-y repertoire worked out just peaches. Too often, the Rangers couldn’t help themselves but overswing. Here now are their five worst swings, along with one honorable mention.

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Rating All of the (Remaining) Playoff Teams

Come playoff time, you tend to see a lot of team-to-team comparisons. And when you see team-to-team comparisons, the people doing the comparing frequently lean on regular-season statistics. And, you know, in theory that makes plenty of sense. Those numbers are readily available all over the place, and, isn’t the regular season a hell of a sample? Doesn’t the regular season pretty adequately reflect the level of talent on a given roster?

I’m not going to argue that regular-season numbers are or aren’t more important than, say, postseason numbers. The regular season obviously has the biggest and therefore the most meaningful sample. But as should go without saying, things change come October. Rosters are optimized, and usage patterns shift. For example, during the year, Rangers hitters had a 98 wRC+. Rangers hitters on the roster today averaged a weighted 106 wRC+. During the year, Rangers relievers had a 100 ERA-. Rangers relievers expected to relieve in the playoffs averaged a weighted 75 ERA-. The Rangers aren’t what they were for six months. No team is, entirely. So what do we have now? What does the actual, weighted playoff landscape look like?

Time for some tables of numbers. That’s almost as fun as actual baseball!

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How Should We Evaluate a Manager?

I’ve got a vote for American League Manager of the Year this season and I’m terrified. My first vote as a member of the Baseball Writer’s Association, and it’s the impossible one.

Maybe impossible is too tough a word. I’m sure I’ll figure something out in time to submit a vote. But evaluating the productivity of a manager just seems so difficult. We’ve seen efforts that use the difference between projected and actual wins, or between “true talent” estimations for the team and their actual outcomes. But those attribute all sorts of random chance to the manager’s machinations.

I’d like to instead identify measurable moments where a manager exerts a direct influence on his team, assign those values or ranks, and see where each current manager sits. So what are those measurable moments?

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One More Incredible Rangers Statistic

As you’re no doubt aware, it’s been a hell of a season in Texas. The Rangers own the best record in the American League, with the eighth-best run differential. They’ve destroyed their Pythagorean record, which has caused them to destroy their BaseRuns record. Much of this has been fueled by historic success in one-run games, and much of that has been fueled by historically clutch hitting. Teams are successful every year, but the Rangers have followed an unusual course. It’s been simultaneously thrilling and bizarre, something difficult for analysts to explain. At this point, there might not be any sense in trying.

There’s one more nugget I want to throw on top of the others. For the reasons detailed above, this Rangers season has been truly exceptional. It’s hard to imagine a team drawing it up like this. Yet there’s another split you might have trouble believing. I know I did! Which is why I’m writing this in the first place. I don’t really know what it means, but I can’t not bring it to your attention.

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