Archive for Daily Graphings

Ubaldo Jimenez Proving His Worth

Heading into this season, not unlike most seasons over the past few years, not much was expected out of the Baltimore Orioles from the statistics-based community at FanGraphs. Despite winning at least 85 games in each of the past three seasons with two playoff berths and the division title in 2014, just seven of the 38 FanGraphs writers surveyed before the season expected the Orioles to make the playoffs. The projections pegged the Orioles for 79 wins and gave them just a 16% chance of making the playoffs. The offense figured to be led by Adam Jones, Chris Davis, and emerging star Manny Machado providing great production at the plate and in the field, but the pitching had some question marks with no starter projected to record an ERA or FIP below four. While Jones, Davis, and Machado pacing the offense, there are still questions about the pitching staff, but Ubaldo Jimenez has returned from a terrible 2014 to provide stability for an Orioles team once again in first place in the American League East.

Jimenez was once one of the best pitchers in major-league baseball. From 2008 to 2010 with the Colorado Rockies, Jimenez accumulated 15.3 WAR, ninth in MLB just behind Felix Hernandez and right ahead of Jon Lester, Adam Wainwright, and Jered Weaver. Inconsistency plagued Jimenez over the next three seasons with the Cleveland Indians, but a great second half in 2013 — when he posted a 1.82 ERA, 2.17 FIP and 3.0 WAR — earned him a four-year deal with the Orioles worth $50 million.

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Picking the 2015 National League All-Stars

We’re two weeks away from the 2015 All-Star Game, and fan voting ends this Thursday, so I figure it’s probably about time to put my ballot together. When it comes to picking players, I lean very heavily towards in-season performance, as I tend towards the camp that sees the game as a reward for the players more than a showcase for the fans. It is both, of course, and trying to serve both masters can make for some tricky decisions, but I’d rather reward a deserving player for a big first half than simply invite the same players every year based on their legacy. I know others see it differently, and that’s fine; I personally just find it more interesting to recognize performance than name-value.

In putting this together, I broke the 34 roster spots into 21 position players and 13 pitchers, and I also held to the rule that every team had to be represented. Injured players were not considered, so while Giancarlo Stanton will almost certainly be picked and then be replaced, I didn’t bother with that formality. And while the only stat listed is a player’s WAR, it’s just there for reference; I didn’t select the players based solely on their WAR totals. Oh, and for pitchers, the WAR listed is a 50/50 blend of FIP-based and RA9-based WAR.

Okay, on to the team. We’ll go position by position, with the starter listed first.

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Robinson Cano Isn’t Just Aging

The Mariners have not gotten the production they were expecting from Robinson Cano so far. I know, bold statement. Surely the Mariners prepared themselves for paying Cano handsomely well into his decline years, giving him $240 million over ten years starting with his age-31 season. Still, nobody could have anticipated the steep drop in total offensive production he has endured the first year and a half of the deal. It would not be the first time an elite hitter fell off quickly on the elder side of 30, but is his decline simply due to mean, old Father Time? The overall numbers, as well as some of his results on a more granular level, certainly support that narrative.

If you have read this far, you know enough about Cano’s difficulties not to need his basic stat line spelled out for the hundredth time. Obviously he hasn’t hit as well, especially for power, as he did in New York. As you would expect, his ability to hit long fly balls has dwindled in the same manner:

Season Feet (Avg.)
2011 284.7
2012 295.3
2013 288.7
2014 270.0
2015 278.1
Average 285.8

This data comes courtesy of Baseball Heat Maps, and though it only covers the 2007 season onward, the change is obvious enough. His average distance on fly balls is noticeably shorter than both his career and his last few years in New York, which would make sense for a hitter losing the strength and athleticism of his younger self.

If he’s not hitting the ball as far because of age, you would expect his batted-ball rates to be suffering as well. Much ink has been written on how many more ground balls he has hit in the last year and a half; we’ll get to that. Here are his hard, medium and soft contact rates, found on FanGraphs’ player page for Cano:

Season Team Soft% Med% Hard%
2011 Yankees 23.9% 45.6% 30.5%
2012 Yankees 12.0% 49.9% 38.1%
2013 Yankees 11.0% 50.1% 38.9%
2014 Mariners 17.9% 53.6% 28.5%
2015 Mariners 14.6% 52.3% 33.1%
Average 2 Teams 15.5% 51.7% 32.8%

His Mariners years fall below the most recent peak years he had in New York, but this year his hard-hit rate is back above his career average, as well as his 2011 season rate in which he put up tremendous numbers.

So we have a declining hitter who is hitting fly balls for a shorter distance, but is still hitting the ball hard enough on average to approximate his former performance levels. He’s also putting more balls in play on the ground, though nothing I have learned about aging leads to hitting the top of a baseball more often than the bottom of it. Christopher Rinaldi pointed out in the Community Blog a few weeks ago that Cano hasn’t gone to the opposite field as much this season, but if you include last season as well, there’s not as appreciable a change in pull versus opposite field rates from his Yankee career. Here is a look at the types of batted balls he’s hit to each for more clarity.

Period Location LD% GB% FB% Hard%
Yankees Pull 22.0% 62.4% 15.6% 36.2%
Mariners Pull 19.0% 71.3% 9.8% 25.2%
Yankees Center 25.6% 44.6% 29.9% 36.8%
Mariners Center 22.0% 49.9% 28.2% 36.8%
Yankees Oppo 27.5% 23.9% 48.7% 33.5%
Mariners Oppo 32.3% 27.5% 40.4% 29.4%

Remember that the hard/medium/soft delineations come from a BIS algorithm that does not include exit speed. I suspect that the decline in hard-hit rate may be due in part to the decreased number of fly balls and line drives, rather than simply a decreased ability to create force. Also, since his overall hard-hit rate isn’t that far off from his career numbers, this has the signs of a case of altered swing mechanics creating more ground balls, especially to the pull side. Canvassing video over the past few years for clues in his swing, this starts to make even more sense as the true culprit.The Yankees timeframe covers Cano’s last three seasons in the Big Apple for comparison. Everything you would associate with a negative change shows up here: fewer line drives and fly balls everywhere except for more liners to the opposite field, and despite an unchanged hard-hit rate to center, a lower figure to left and right fields. His batted balls are coming out on a lower trajectory, and to the sides of the field without as much force behind them.

Here is a swing from Cano’s 2012 season:

Cano 1-21-13 06

And here is one from June of last year:

Cano 6-29-14

Both of these swings are on similarly placed pitches, both fastballs up in the zone. The 2014 pitch is a few inches higher, but they are close enough to show some important differences.

The first is the way the hands take the bat to the ball. Notice how in the 2013 version, there is more of a loop to his hand path; the first move is down before they start moving forward. In the 2014 look, Cano’s hands start pushing directly toward contact. This makes his swing much more level, which is not as conducive to hitting high line drives and deep fly balls. You can really see how this works over three frames in the swings:

Cano 1-21-13 abbr

Cano 6-29-14 abbr

The other noticeable inconsistency is where the barrel travels in relation to the hands. It’s a little subtler, but in the 2013 swing you can see how the barrel drops slightly more under the hands as it comes into contact. In the second look, the barrel stays closer to the same level as the hands, coming around them more so than underneath them. When the barrel works around the ball on a flatter plane, you have a sure-fire recipe for more pull-side ground balls.

These aren’t just two cherry-picked swings either. Here’s another swing from this year on a low and outside pitch, followed by a low pitch in the Yankee era.

Cano 1-21-13 31

Cano 6-9-15

Former Cano digs the ball out and lifts it into the outfield, whereas latter Cano looks like he’s forcing his hands down all the way through the swing. Both balls end up in the air, but the Yankee swing obviously looks much more beneficial for a guy who should be looking to drive the ball out of the park on occasion.

From the pitcher’s view, this difference is still apparent. This time we will see a 2013 swing and a 2015 swing, cut off one frame after the left arm gets fully extended.

Cano 8-31-13 1

Cano 6-15

The finish of the swing is easier to compare from this angle, which is pretty clearly different despite similar pitch locations. Yankee Cano again shows more lift in his swing, resulting in a higher finish. Mariner Cano’s hands do come up through contact a bit more than the previous swings we looked at, but not nearly to the same degree as the Yankee version. The flatter finish in the 2015 swing is the product of the barrel coming around the hands, as well as the more downward plane his hands take toward the ball. Again, all signs point toward lower-trajectory hits, with the flatter barrel making an early swing more likely to yank the ball to the pull side. The bat staying more vertical used to allow Cano to lift the ball, as well as giving him a better chance of driving it toward the middle of the field.

What we cannot know is why this change has happened. I don’t know if this has been a conscious change or just falling into bad habits. The fact that this struggle has gone on for a year and a half with a fairly big change occurring simultaneously certainly raises a lot of questions. One interesting side note makes me even more intrigued to follow Cano’s season is Edgar Martinez’s recent hiring as hitting coach. I know absolutely nothing about Howard Johnson as a hitting coach, so this is not to say that he didn’t do a good job. But it’s hard not to be excited about a guy I have heard has an excellent perception of the swing, particularly regarding hand path, get a crack at helping Cano get back on track. He definitely has proof of concept:

Edgar Martinez

Of course, it remains to be seen how well he can work with players as a coach. Doing a thing and understanding a thing do not automatically qualify you to teach a thing. Color me intrigued though. Maybe it’s just noise or coincidence, or maybe he’s already made an impression. The hiring was announced on June 20, and here are swings from each of June 21 and June 22:

Cano 6-21-15 Front

Cano 6-21-15 Side

Cano 6-22-15 Front

Cano 6-22-15 Side

There’s a little more of that old lift to his swing, and the barrel is a little more vertical. The second is a bit flatter with the bat, but it’s a product of the pitch location more than a swing issue; he doesn’t look like he hooks the ball nearly as much. To be clear, Cano has still shown a number of swings in the past week that look like everything he’s done in the past year and a half. On top of that, it’s extremely hard for even the best hitters to make mechanical changes in the middle of a season. For Cano’s sake, and for the Mariners offense’s sake, hopefully he (and Martinez?) can figure out a way to set himself back up for some better production at the plate.

To the main point of this piece, yes, Cano is getting to an age where a down month raises concerns and a down season sounds the panic alarm. Based on what I see, there’s still enough of a reason to believe he has the ability to be the mythical power and contact guy the Mariners need in their lineup. A mechanical issue can be fixed, and it’s just too hard to believe Cano’s strength and ability could have eroded so quickly. The problem is that fixing it is not always as easy as it sounds.


Where the Astros Have Been at Their Best

It was almost cute when it started — there were the Astros, playing really competitive baseball, a year or two ahead of schedule. They stormed out of the gate and people everywhere wrote about the possibility of the Astros making the playoffs without really believing it would happen. And to this point the Astros still haven’t clinched a berth in the playoffs, but with every passing day, they’ve been taken a little more seriously. They’ll be in first place at the halfway mark, leaving only another half left to go, and the prospect promotion is well underway. It’s not so cute these days. It’s like the Astros have skipped a step.

Look over what they’ve accomplished and you can understand why the Astros are a legitimate threat to make a playoff run. Hitting-wise, they’ve collectively been above-average. The rotation might not have a classic ace, but it’s been above-average as a group. The bullpen, too, has been above-average, and the team’s been good about running the bases, and on top of all that, the Astros have avoided ugly black holes. You’d be hard-pressed to find a problem spot, which is a feature of a winning club. But what might you call the Astros’ strength? Some might suggest hitting for power, which, yeah, they’re good at that. But they’re even better at dealing with groundballs.

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Sunday Notes: SABR 45 Snapshots, Spray Charts, Roe

More than 700 baseball purists gathered in downtown Chicago over the past four days for the national SABR convention. Snapshots of presentations I attended comprise much of this week’s column.

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Among the notable presentations at SABR 45 was David Smith’sHome Team Scoring Advantage in the First Inning Largely Due to Time and Travel.” According to Smith, home teams win approximately 54% of the time, and 58% of that advantage comes in first inning scoring. Historically, more runs are scored in the bottom of the first inning than are scored by either team in any other inning.

The longer the visiting team hits in the top of first, the more scoring there is in the bottom of the first. The primary determinant is time. Unlike the home team’s starter, the visiting team’s starter doesn’t know exactly when he will begin pitching. Based on Smith’s research, the longer the visiting starter waits to throw his first pitch, the bigger his statistical disadvantage. Read the rest of this entry »


Blue Jays’ Pitching Problems Continue

The Toronto Blue Jays are contenders. They are currently four games above .500, two games out of first place, and their positive run differential of 81 is first in the American League by nearly 30 runs. The FanGraphs playoff odds give the Jays a roughly one-in-two chance to qualify for the playoffs. The Jays offense has been the key, scoring close to five-and-a-half runs per game. The Blue Jays are 60 runs above average on offense, first in major-league baseball, and their 115 wRC+ for non-pitchers is second to only the Dodgers — and those two teams have a 25-run gap on the bases. Their Base Runs record is four games better than their actual record, indicating the team easily could have better results than their current record indicates. The problem for the Blue Jays has been the pitching staff, both in the rotation and in the bullpen. The easy answer is to trade for outside help, but deploying internal solutions in different roles could prove helpful as well.

Before moving to the pitching, a final note on the offense. The offense has carried the team thus far, but it is unlikely to continue to be as great over the course of the rest of the season. The graph below shows every team’s actual runs per game so far this season compared with their Base Runs, which should be a better representation of how a team’s offense has performed.

RUNS PER GAME MINUS BASE RUNS PER GAME

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The Best Bargains of the Season So Far

Depending on whom you ask, a really fun or terrible thing is happening this season: Alex Rodriguez has been better than anyone expected. Perhaps he’s been way better than anyone expected. Thirty-nine-year-olds in the post-PED era aren’t supposed to have these kinds of seasons. Also of note, however: Alex Rodriguez is getting paid a lot of money: $22 million in 2015, to be exact. So, in this very surprising year that 39-year-old A-Rod is having, the question now becomes: has he been worth that much money so far? And, in the bigger picture: which players have been the best value so far in 2015, and which have been the worst?

The conventional wisdom with the sort of contract that Rodriguez has — the savagely long, payroll-sucking kind — is that they are sort of a wash at the end. A team pays for the production up front, back ends the deal, and secretly hopes they can offload the aging slugger or pitcher to another team at some point toward the end, eating a little of the annual contract when doing so.

It happens all the time: Boston is still paying Manny Ramirez; the Mets are still paying Bobby Bonilla (I thought I was crazy, but yeah, they still are, and will be forever). Obviously, that makes it really hard for the players to live up to their end of the deal in the final years, even though they aren’t complaining. We’ll get to A-Rod a little later, but for now, let’s look at the rest of the league.

For ease during this exercise, we’ll use the standard offseason free-agent value of a win — about $7.5 million. We can debate this figure, but it’s what we have, and we’re going to roll with it. Dave did great work in the past on the very issue of how much a win costs. We’ll then use that figure to discern how many wins a team is paying the player for at this point in the season (salary wins), and compare that to how many wins they’ve actually produced (WAR), to get surplus wins. We’ll use both Average Annual Valuation and 2015 salaries to see the differences.

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Luhnow’s First Astros Draft Class Has Arrived

At a time not very long ago — actually, just a single month and a few days ago — viscount of the internet Rob Neyer wrote at Just A Bit Outside about how the Houston Astros, then as now a first-place team, had been winning games with negligible contribution from any players drafted by General Manager Jeff Luhnow. Quoth Neyer:

The 2012 draft has, so far, produced two major leaguers: pitcher Lance McCullers and hitter Preston Tucker. McCullers and Tucker have combined for zero wins and one home run (granted, the homer was a big one Thursday). The 2013 and 2014 drafts haven’t produced any major leaguers.

The final sentence of Neyer’s paragraph remains, as of this writing, true. But, in a testament to how rapidly things are changing down in Houston, the first two sentences of Neyer’s paragraph have already become dramatically obsolete. Please recall that Neyer’s post is barely one month old.

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A First Look at Steven Matz

The Mets have an embarrassment of riches in their starting rotation. Jacob deGrom has seemingly become one of the best pitchers in baseball, and Matt Harvey has pitched very well in his first half-season since returning from injury. Behind them, Noah Syndergaard has shown flashes of dominance over his first eight starts in the majors, while Bartolo Colon and Jon Niese have pitched admirably at the back of the rotation. To accommodate all of these arms, the Mets outrighted Dillon Gee — a pitcher who appears to be a serviceable starting pitcher — to the minors last week.

Yet, despite of all of the talent in their rotation, the Mets are adding yet another intriguing arm to the mix. Word broke yesterday that New York is summoning lefty Steven Matz to the majors. He will make his big-league debut on Sunday against the Cincinnati Reds. The Mets will presumably employ a six-man rotation for the time being. Kiley McDaniel ranked Matz 65th on his preseason top-200 list.

Matz certainly did enough in the minors this year to warrant a call-up. In fact, if it weren’t for the current log jam at the big-league level, he likely would have gotten the nod a bit sooner. Matz pitched to a 2.19 ERA and 3.43 FIP in his 90 innings in Triple-A Las Vegas. He struck out an impressive 26% of opponent batters faced, while walking a reasonable 9%.

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JABO: The Importance of Not Having Bad Players

Think you could be a general manager? I think, in the beginning, a lot of people think they could do the job. Then, later on, they come to learn of the complexity, and fewer remain so confident. Being a general manager is incredibly difficult, support staff be damned. But I’ve got a hot tip for you — every front office out there has the same strategy. I don’t know if it could be any simpler. The strategy of all 30 teams in major-league baseball:

  • get good players

It’s that easy. There’s no disagreement over the strategy. The separator tends to be player evaluation. Which players are good? Which players will remain good? Which players will be the most good? The teams that have the most good players tend to be the strongest teams. You might not know why you bothered to read these paragraphs.

When it comes to team-building, so much of the emphasis is on accumulating as many good players as possible. And that’s good, that’s important, because that’s the biggest key to winning games. But there’s another side of this, one that tends to get ignored. It’s important to have good players, but it’s also important to not have *bad* players. That might seem like saying the same thing. They’re related, but they aren’t identical.

For example, let’s consider two hypothetical mini-teams. Team A has three players. Two of those players are both +4. The third player is 0. Team B also has three players. Two of those players are both +4. The third player is -1. Of Team A and Team B, you could say each has a pair of good players. But Team B also has that bad player, relative to Team A’s 0. So by this simple math, Team A comes out at +8, and Team B comes out at +7. The good players are critical, but a bad player still made a difference.

Reality isn’t quite that clean, in that teams are much bigger and we don’t have perfect measures of performance, but we do have Wins Above Replacement, or WAR. So for the sake of this example, let’s trust those 2015 WAR figures. It’s pretty easy to navigate over to FanGraphs and figure out which teams have generated the most and the least total WAR. It’s tougher to break that down. How much of that WAR is coming from good players, and how much negative WAR is coming from bad players? It’s the latter I’m going to focus on here — enough attention is already paid to the good-player side of the equation.

Read the rest at Just A Bit Outside.