Diagnosing Shohei Ohtani’s Pitching Woes

There has been a lot of concern over Shohei Ohtani, and his rough spring training performance recently. Considering the hype he has come with, it is only natural for people to react as strongly as they have. Given his track record in the Nippon Professional Baseball League, and the presence of his impressive physical abilities, it is frustrating to see him struggle.

What must be considered more seriously, is the significance of the transition Ohtani is making. There has to be better recognition of his being human. He does not speak the language in a new country where customs, culture, and even life philosophies are often very different than back home in Japan. Based on the information available surrounding his appearances hitting, and pitching, it seems that this is simply a guy adjusting to his new life in the United States.

Also significant are the differences between the Baseballs,  such as the NPB ball that has higher seams, as well as the mounds in Japan that are softer than the contrastingly more solid mounds in Major League Baseball. These are factors affecting Ohtani, and his transition, that must be considered.

To begin, Ohtani’s pitching mechanics and delivery as a whole, seem to be somewhat different than they were in Japan. His approach and intentions have looked to be the same, but the execution has been slightly off. These gifs are slowed down to show the differences in Ohtani’s mechanics in Japan during the 2017 season, and 2018 in Spring training. Take a look at the location and execution of his fastball in said seasons:

2017 in Japan:

Animated GIF

2018 Spring Training:

Animated GIF

The key aspect to watch here is the contrast in the times it takes him to bring the ball to the plate. In real time, from the start of his throwing motion to when he releases the Baseball, Ohtani throws the ball in 1.8 seconds in 2017. In contrast, during his most recent Cactus League start in the second gif, he releases the ball in 2.2 seconds following the beginning of his throwing motion. Is he trying to reach back for more velocity this spring? His mechanics seem to indicate such a suggestion.

Looking at the freeze frame just after he releases the ball, Ohtani’s arm slot is higher on the left than on the right. Ohtani’s back foot is higher than it was previously. His whole body is slightly more upright, his arm is further behind his lower half, and he is not as balanced on the left in comparison with the frame on the right.

He does not drag his back foot on the mound anymore, the way he used to in Japan. This has caused him to have less balance in his delivery to the plate, which will be explained further later on. It is likely that Ohtani has no interest in sliding his foot across the harder mounds in the United States, which is clearly hindering the execution of his mechanics.

Furthermore, he is opening his body more in his pitching motion this spring, than he used to in Japan. Being more upright means that it’s harder for him to get on top of the Baseball, which makes it more difficult to keep the ball down in the zone when he wants to throw it there. Having his arm behind his lower half as seen on the left, is putting more unnecessary stress on it as well.

His balance point is off on the left, too – This makes it more difficult for him to sync his arm and lower half, as well as locate his pitches. Ohtani has better control of his body in the frame on the right, thus allowing him to have more fundamentally sound mechanics.

Often, when a pitcher is not fully finishing his delivery, he (Hopefully someday She!) is overthrowing. Ohtani has indicated that he feels hardly any anxiety surrounding his performance, however it seems that he may be pressing a little, based on the contrast between the mechanical execution of his delivery in Japan, and here in the United States.

The finish of the delivery with his back leg swinging up as it always does, is more pronounced and noticeably higher on the left than on the right. Given that the pitches were thrown to similar locations in both frames, this is likely an indicator of him putting more effort into his delivery:

His non-throwing arm and glove are much higher on the left, and his pitching arm is visible on the left while it is not on the right. His left arm is actually turned up-and-out in his pitching with the Angels, whereas in Japan his arm is folded inwards, and is much closer to his body. This is simply further evidence of his seemingly increased level of effort while pitching this spring.

There is also the possibility that he is hurt, as his change in mechanics would support, too. Maybe his elbow is not as healthy as it has been made out to be. Regardless of the cause, Ohtani is not himself at the moment.

What is interesting, is that the pace of his delivery has slowed, while also becoming more stiff and less explosive. The abilities are there for him to perform at a much higher level, and it would really help him to stay within himself more and execute the fundamental aspects of his delivery.

It is likely difficult for him to adjust to the mounds in the United States, which could be affecting his delivery and mechanics significantly. Above all else, it seems that this is a case of a 23 year-old acclimating to a completely new country and culture. He is learning countless new things about life here, and his poor performances this spring seem to be a reflection of the recent change in his life, more than anything else.

The most glaring issue in his pitching thus far, has been in his mechanics. The pitches he is throwing are objectively impressive, they just aren’t being placed where Ohtani wants them to be as a result of his delivery being out of sync. He is absolutely fine, and simply needs to make a few adjustments to get back to being the potentially dominant pitcher many envision.

Video in this piece was taken from MLB.com.


Let’s Strategize Under the Potential Extra Inning Rule

As I’m sure you know, Major League Baseball is toying with the idea of putting a runner on second base sometime around the 12th inning. While I’m not doing this to argue its validity or lack thereof, I’m going to discuss and evaluate some scenarios that could happen under those conditions. It won’t be anything groundbreaking; I’ll be demonstrating the metrics involved with a team under the various circumstances I induce.

The following scenarios are played out to score at least one run in a given inning. Top or bottom of the inning, I envisage the same sort of conditions will play out for both teams. And because there is never any telling what part of the order will start with this setup, I speak in generalizations.

I’ve thought about what would be the likeliest of moves under this arrangement and I’m going to guess it would come down to the most boring events in baseball; the offense bunts the runner to third or the pitcher intentionally walks the first batter attempting to set up the double play. Of course, there will be times when the managers decide to simply attack the situation as-is. That’s more of a volatile situation and therefore much harder to work with.

First, the basics. From 2010-2015, having a runner on second base with no one out produces the following:

  • The predicted number of runs scored is 1.100
  • The percent chance of scoring a run under those conditions is 61.4%

So from the get-go, the offense is expected to score a run in three out of every five chances.

Play the bunt or a standard defense?

Let’s start off with the first of two scenarios; the bunt to move the runner over to third. I feel like this is the most likely action but also the most difficult to work with because of varying defensive strategy. Will the defense make an anticipatory shift for a bunt or will they be in ‘straight up’ formation? In 2011, Bill James found out that bunting in sacrifice situations produced a .102 batting average. Not like we needed that because we could have guessed that you’re going to be out roughly 90% of the time.

To bunt or to swing away?

So assume the hitter lays down a bunt that moves the runner while making an out at first. Run expectancy is now 0.95 with a 66% chance of scoring a run. Your run expectancy went down 0.15 runs BUT you increase your chances of scoring by a little less than 5%. Would bunting make sense to you as a manager? Taking out any sacrifice-type contact, if your hitter produces an out and the runner has to stay at second, your run expectancy drops to 0.664 and the chance of scoring a run plummets to roughly 40%. Still feel the same way (regardless of the hitters bunting ability)?

Walk or pitch to the next hitter?

Keeping with the initial decision, we have a runner on third and one out. Pitch to the next hitter or put him on to set up the double play? Our strategy could be further altered because at this point the defense might be inclined to bring out a ground-ball pitcher or create a split situation (lefty vs lefty and vice versa). But again, let’s go with the assumption that the team will do the safest thing by having the next hitter walked. That puts runners on first and third with one out. That decision causes run expectancy to jump back up 0.18 to 1.13 and but the probability you’ll score at least one run drops to 63.4%. Would you make that same call (remember, we are in a vacuum)?

Runners on first and third with one out produce the following expectancy:

  • Average number of runs scored is 1.130
  • The chance of scoring a run under those conditions is 63%

One of a couple of outcomes will follow should you elect not to intentionally walk the hitter. He will drive in the run by putting the ball in play various ways (sacrifice fly, fielder’s choice, hit, etc) and accomplish what the offense set out to do; score at least once to put the pressure on the home team. Or, the hitter could strike out, ground out (which could turn into a double play, an out at home, etc) or fly out.  If contact is made, this could alter our base-out states: two outs and runners at various bases (first and third, second and third, second or first should the runner somehow get thrown out at home). Due to the randomness of contact in this event, we’ll stay with the intentional walk.

To bunt or to swing away, pt II?

So what about the offensive strategy for first and third, one out? The options are much more vast. You could sacrifice bunt to move a runner over to second (assuming the runner on third is held up), thereby dropping run expectancy to 0.580 and dropping your scoring chances to 26%. The risk here is having the batter somehow bunt into a double play; runner at third is tagged/thrown out and the batter is thrown out at first. Do you, as a manager, take the initial risk that set up this problem? It is challenging to turn a double play on a bunt but if the defense is ready, it makes it easier to do so.

This time, let’s assume the hitter botches the bunt to the first base side and the overeager runner is thrown out at home (or caught in a rundown), runner safe at first. Now, with two outs, there’s a runner on first and second, we sit at a very poor run expectancy of 0.429 and have just over a one in five chance of driving in that run.

Walk or pitch to the next hitter, pt. II?

At this point, again with neutral context, you can walk the batter to load the bases, (if the hitter is too good and the next isn’t great, etc.) or you can just pitch to the batter (maybe bringing in a bullpen specialist). Walking the batter gives the offense a 10%better chance of scoring and a .33 increase for run expectancy.

If you elect to pitch to the batter either the final out is made or runs score. Walking the batter loads the bases and forces the defense to hope for the best. The latter situation would actually produce the most excitement; a crucial decision would need to be made. Either way, my tangent baseball universe will end; three outs, inning over or the needed run(s) score.

While I don’t necessarily agree with or enjoy the thought of the game being altered in this way, it could produce some interesting strategical decisions and test the maneuvering skills of team managers.

This post and others like it can be found over at The Junkball Daily.


Jonathan Lucroy Might Not Be Done

Let’s start off with a guessing game. Below are two players. Try to tell who they are.

mysteryplayers

So, who are they?

Maybe the title of this post helped you figure it out. They’re both Jonathan Lucroy. Player A is Lucroy in 2016, when he was worth more than four wins. Player B is him in 2017 when he was barely worth one win. But these two lines represent the same player in name only. In 2016 Lucroy was the most valuable catcher in the game. And then last year, he was the fourth-worst.

Moving down the chart above, one could reasonably tell Lucroy’s story. Maybe the difference on balls in play is what drove him from about 40% above league average at the plate to about 10% below league average. But that wasn’t just bad luck; his contact numbers probably justify the drop. Driving the ball with less authority means hitting more playable dinkers. That creates lower BABIP and wOBA. It’s also not going to help if you hit an additional 16% grounders from one year to the next, which Lucroy did, because, those playable dinkers are the worst playable dinkers a hitter could generate.

In some sense, catchers aren’t supposed to be as good as Lucroy has been in the past. Expecting him to stay that good forever would be silly. But so would expecting him to fall off the edge of a flat earth into the same relative nothingness as Martin Maldonado. Jeff Sullivan broke down Lucroy when he was traded to the Rockies last season and found that in addition to his offensive stats cratering, so had his previously excellent framing numbers. He went from being one of the game’s very best at stealing strikes to being one of its very worst. So maybe Father Time had simply claimed eminent domain instead of moving next door. 

The numbers bear out Lucroy’s fall as much as numbers can. But the same thing that makes them so endearing — their blindness — sometimes means they still aren’t telling the whole story. Below are two gifs. On top is Lucroy as a Brewer in 2016, driving a JC Ramirez fastball up the middle. Below is Lucroy as a Rockie in 2017, pulling off of a Ross Stripling slider.

giphy2

giphy

Above, the Angels defense was presumably playing at double play depths, making a play up the middle more accessible, if still difficult. Thought it was a grounder from Lucroy, it was a screamer, coming off the bat at 100.7 mph (he averaged 87.6 in 2016). Below, Lucroy forced Corey Seager to make a bit of a play, but Seager was able to because the ball only came off Lucroy’s bat at 88.4 mph (he only averaged 85.1 last season). Both pitches were in the middle third of the plate. The swings are similar enough. But check out the stills below as the ball arrives at the plate.e.

Lucroy 2

In this picture, from when he was still a Brewer, Lucroy is very much in control. He’s square, and his body is getting ready to move together. All the MSPaint lines are moving in the same direction, showing that his kinetic chain is tuned up. That basically means his big muscles were ready to transfer power to his little muscles. The next frame shows it stayed that way. The swing is coming from his center of mass. Sure, he grounded out, but he was together. Groundouts happen.

Lucroy 1

But look at this still, from when Lucroy was a Rockie last year, and good grief. His body is moving in so many directions it looks like it’s in a traffic jam. His hands are going down and away, his hips are pulling in the other direction, and his legs are digging directly ahead. The kinetic chain is nowhere to be found, and Lucroy’s one body is effectively acting in three independent manners. Doing that on a regular basis would go a long way toward explaining his sudden inability to drive the ball, and how he lost 2.5 mph of exit velocity on average per batted ball. 

Lucroy’s legs being hurt, but not enough to sideline him to ensure they’re healed, could explain an inability to rely on his core to support his kinetic chain. However, per Statcast, his sprint times were nearly identical between 2016 and 2017. In fact, he was actually .2 seconds faster last year than the year before. But that’s only his legs. Maybe he had an issue with his core — a set of big muscles —  that kept his swing from staying in sync and glove from reacting as well when framing.

Baseball Savant only has so much video to examine. Lucroy’s broken kinetic chain in 2017 appears to be pretty consistent, though. And sure, these were different pitches, from different pitchers, with presumably different camera angles. I can’t tell you the ball was at the exact same distance from Lucroy in each instance. But a nagging injury influencing a mechanical flaw isn’t entirely implausible, even if speculative.

If Lucroy can smooth out his mechanics and is even half of what he used to be, that’s still twice as much as he was last year. Or maybe he did just fall off a cliff. But at one year and 6.5 million, it’s easy to understand why the A’s would want to find out. 

Mystery player data from FanGraphs. Gifs made with Giphy; videos from Statcast.


Do The Padres Have Their Own Three-Headed Bullpen Monster?

Now that most rosters have been finalized ahead of opening day, there can be more specific speculation as to how certain groups of players on teams will perform.

As the use of bullpens becomes more significant in baseball, it is increasingly important to consider their performance. The Yankee bullpen is looking fantastic, which is fairly obvious to most at this point in time. A bullpen that is especially intriguing heading into this season is that of the Padres. While the team is not expected to contend this season, their bullpen is lining up to be quite unique.

Outside of Brad Hand, this is a group of relievers hardly anyone has ever heard of. Either because they simply have not played in the Major Leagues at all prior to this year, or have had mediocre performances in their time at the Major League level, these guys seem pretty lackluster to the average person.

This begs the question: Could the Padres have a trio of relievers similarly dominant to that of the Yankees’ Aroldis Chapman, David Robertson, and Dellin Betances? The idea is ambitious, however, the trio of Brad Hand, Kazuhisa Makita, and Kirby Yates have shown themselves to have the potential to be just as good this season. These three are players who have immense potential as relievers, whose variety of arm angles, and styles of pitching could be set to give opposing hitters fits this summer.

The bullpen is obviously led by Brad Hand, who will be the Closer for the Padres – What makes him unique is that he throws a lot of innings, and truly doesn’t care whether he’s pitching the ninth, or the earlier innings of a game. This means he can be used in the most high-leverage situation of a game, which is the ideal way for relievers to be used, a-la-Andrew Miller in the 2016 postseason.

Padres manager Andy Green said of Hand: “I’ve never been around a pitcher that takes the ball as willingly and as often as he does.” Hand pitched 79.1 innings for the team in 2017 – 6th most among all relievers in Baseball and first among Closers. With 11.8 K/9 in that many innings, take a look at the slider that generated a 21.2% whiff rate in 2017:

Animated GIF

He didn’t locate this slider very well, but even when left up in the zone, the pitch is objectively good enough that it can still usually generate whiffs.

New Japanese pitcher Kazuhisa Makita is also on board with the Padres, who was signed from the Saitama Seibu Lions of NPB. A submariner who releases the baseball six inches off the dirt, Makita is arguably the most interesting reliever in the Major Leagues this year. His fastball has topped out around 81 mph this spring, and he also throws a curveball that has been clocked as slowly as 52 mph, and usually sits 56-59 mph.

It is unprecedented for a pitcher to throw at such a lower velocity than is traditional in the Major Leagues, though his 2.83 career ERA in the NPB suggests he is a very capable pitcher. His pitches and pitching style are so unique, that watching them gives one a better understanding of his pitching than words could ever describe.

He’s especially adept at painting the outside corner:

Animated GIF

It’s certainly a very different arm angle, and he looks to have pretty good command of his pitches.

Makita seems to often throw his fastball on the outside corner more than anywhere else, based on his pitching style in his appearances this spring.

Though Makita is legitimately unafraid of throwing his pitches to any part of the plate, notably pitching up in the zone at times as he does here:

Animated GIF

It will be especially interesting to see if Makita generates a ton of pop-ups from hitters in front of, and under his often 81 mph Fastball in 2018.

What is even more fun, is Makita’s curveball, because of how slow it is. It has been described as “Bugs Bunny” and “Eephus Curve” among other names thus far. Thus far though, the pitch has played as well as any other pitchers’ Curveball.

Here is his curveball:

Animated GIF

As far as how his stuff will translate to success in the Major Leagues, the Padres have been liberal in allowing Makita to pitch his own style. Backup catcher A.J. Ellis made echoed this sentiment nicely: “we just want to let that style translate here as opposed to making him fit into what we think he should be.” Makita is unlike any pitcher the League has seen in years, so it is encouraging that the team will give him the independence to continue to attack hitters as uniquely as he did in Japan.

Amid all the power relievers looking to often whiz the ball past hitters with velocity, Makita has the chance to finesse his way to success in the big leagues. In an era in which hitters continue to counter power pitching with higher launch angles, and fly-ball swings, Makita’s pitches that rise on hitters will require legitimate adjustments from them. He probably won’t strike out a lot of hitters, though he figures to be a guy who will generate a lot of weak contact.

There is no standard for this kind of a pitcher in the modern era throwing at such a low velocity, and maybe he just won’t throw hard enough to ever be very good. However, if his approach to pitching is successful, the Padres will have found a truly rare kind of dominant reliever.

Another member of the bullpen is Kirby Yates, who almost struck out 14 batters per nine innings last season. His 13.98 K/9 was 5th best among qualified Major League relievers, behind guys including Kenley Jansen, Dellin Betances, and Craig Kimbrel. Yates upped his Split-Change usage to 14.2% in August, and 25.6% in September, which helped him to a 14.6% K/9 rate in those months. He gave up 17 hits during that time, yet not a single one of them was on a changeup, according to Baseball Savant. His split-change had a 22% whiff rate last season, easily being the best swing-and-miss pitch in his repertoire. Here is the split-change in action this spring:

Animated GIF

He also throws a high spin-rate fastball often up in the zone, which from his shorter arm slot was hard for hitters to make solid contact on last season. Yates ranked third in swinging strike rate, at 17.4% –  Among relievers who threw at least 50 innings last season, behind only Craig Kimbrel, and Kenley Jansen. With the increase in split-change usage, Yates could potentially take the next step as a reliever, and become even better than he was last season. Thus far, the results have been promising from a guy who was claimed off waivers from the Angels in 2017.

The three pitchers explored above, may not be likely to have the success they are sort of touted to have, as this article indicates. Especially in the case of Makita and Yates, people are not expecting them to be as good or comparable to Chapman, Robertson, and Betances. They probably aren’t going to be a three-headed monster, as the Padres hope.

Brad Hand is legitimately talented and should be recognized the way the members of the Yankees trio are. The point is that the other two pitchers have shown flashes of brilliance, in the case of Makita because of his unique style of pitching. Yates got hitters to swing and whiff at a level nearly as high as Craig Kimbrel, and Kenley Jansen.

Being a smaller market team, the Padres have to be more careful with their money than a team like the Yankees, who signed Robertson and Chapman to hefty free agent deals. Quietly San Diego might have found their own funky three-headed monster to anchor the late innings of their games this season. They’ve acquired and signed the aforementioned three relievers for a combined total of $7,145,833 in 2018 – The Yankees trio, in contrast, is due $38,100,000 in 2018 salaries according to Spotrac.

The team will never have the financial might of the Yankees, but they have shown a creative way to build a bullpen, that will be interesting to watch this season. Reliever performance is volatile, and the sentiment that these guys are nothing more than flashes in the pan is perfectly legitimate. What they have is a chance to be excellent relievers, and that chance is worth examining.

All Data used in the article was taken from MLB.com, Baseball Savant, Spotrac, and Brooks Baseball.


The Selective, High-Ball Hitting Eddie Rosario Is Legit

The tools hadn’t quite come together for Eddie Rosario until last year. Through his first two seasons, he had a penchant to swing often and at anything. While his power still made appearances, his overall line was diminished by his lack of selectivity at the plate, which resulted in far too many Ks compared to his bottom-of-the-barrel walk rate. In 2017, hitting coach James Rowson made note of Rosario’s focus on becoming an “all-around hitter,” and evidently, that had him heading in the right direction.

Part of becoming that kind of all-around hitter had to be closing the gap between his BB% and K%. After posting very poor BB% of 3.2% and 3.4% in his first couple seasons, Rosario made the jump to 5.9% last year and coupled that with a hefty decrease in Ks as well — from around 25% to 18.0%. And this was hardly a fluke. Rosario has swung less and less over his three seasons in the majors, and that decrease in Swing% has been due almost entirely to a decrease in O-Swing%.

Year O-Swing% Z-Swing% Swing% F-Strike% SwStr%
2015 45.6% 76.4% 58.9% 65.6% 14.5%
2016 41.7% 76.9% 56.9% 63.6% 15.3%
2017 37.6% 76.1% 54.9% 59.4% 11.9%

He’s seen fewer first-pitch strikes whether by chance, by choice, or by pitchers respecting his talent a bit more, but regardless, what is most notable is his precipitous drop in O-Swing% and SwStr% with a steady Z-Swing%. Together, these stats suggest that Rosario made a distinct effort to recognize and lay off pitches he can’t do much with. While he has somewhat of a reputation for being a bad-ball hitter, Rosario seemed more committed to finding “his pitch” to swing at in 2017. Career highs in nearly every offensive category you can think of seem to set Rosario up for another fine year, but the sustainability of this progress relies on him leaving his old tendencies in the past.

With his new approach, Rosario was able to put his sneaky raw power on display. Per Baseball Savant, his xwOBA on all types of batted balls were more or less in line with his career norms. Only his flyball wOBA (.560) outpaced its xwOBA (.411) by a good margin. It’s fair to assume this means there is some regression baked in here, but in reviewing more than a handful of highlights, I noticed something particularly interesting.

In 2017, Rosario seemed to handle pitches up in the zone far better than he ever had previously. Clip after clip showed Rosario slamming up-and-away pitches to left field and handling pretty much anything else elevated. Referencing the gameday zones shown below, we can see just how well Rosario has hit elevated pitches over the years.

gameday zones

Given that we’re interested in how sustainable Rosario’s uptick in power is, let’s take a look at his flyball xwOBA in zones 1, 2, 3, 11, and 12.

Year Zone 1 FB xwOBA Zone 2 FB xwOBA Zone 3 FB xwOBA Zone 11 FB xwOBA Zone 12 FB xwOBA
2015 .098 .416 .380 .115 .208
2016 .253 .581 .015 .019 .201
2017 .587 .391 .306 .368 .559

Combining these zones, we can see the overall increase in xwOBA, and for good measure, I’ll lump his line drives from those zones in as well.

Year High-Ball FB xwOBA High-Ball FB Avg. Exit Velocity (mph) High-Ball FB/LD xwOBA High-Ball FB/LD Avg. Exit Velocity (mph)
2015 .278 88.9 .477 90.2
2016 .271 92.1 .472 92.4
2017 .463 92.3 .555 93.9

Whether the scope of this analysis is too narrow is up to the reader, but at the very least, the preceding data confirms my suspicions. The jump in xwOBA is a translation of exit velocity increases and more optimal launch angles, indicating that Rosario put much better swings on elevated pitches last year, and he was rightfully rewarded with by far the best power numbers of his career.

Checking out some Swing% heatmaps, we could infer why he had so much success on high-balls last year. The following heat maps are in order from 2015 to 2017.

2015 Swing% Heatmap
2015 Swing% Heatmap
2016 Swing% Heatmap
2016 Swing% Heatmap
2017 Swing% Heatmap
2017 Swing% Heatmap

Obviously, Rosario was quite the free swinger in 2015, but he quickly shied away from the outside part of the plate the following year. Perhaps focusing on the inside edge more wasn’t quite the remedy he was after, yet it seemed to represent a step in the right direction. He was more patient on outside pitches, and that trend expanded into greater selectivity more so than passivity in 2017 where he opened up those middle-away zones a little and became even more reluctant to offer at up-and-outside pitches.

Clearly, something was up with the way Rosario approached his at-bats. And with this newfound approach, he made more contact on both outside and elevated pitches.

2015 Contact% Heatmap
2015 Contact% Heatmap
2016 Contact% Heatmap
2016 Contact% heatmap
2017 Contact% Heatmap
2017 Contact% Heatmap

Following the logic that if he can find “his pitch,” he can make more frequent, quality contact, it seems that better judgment around the edges of the zone over the past two years has started to transform Rosario’s approach from purely aggressive to selective aggressive. We know he has the power to muscle the ball around a bit, and we know his bat-to-ball skill is great too; his success is largely just a matter of swinging at the right pitches instead of swinging at everything. Rosario wanted to be more of all-around hitter, and that’s exactly what he did.

A slow start to spring training (only 7 games and 20 PA so far) might have him showing some rust early on this season, but if he can maintain his approach, Rosario can sustain his above-average offensive performance in 2018. Actually, he must maintain this approach to remain productive. With large steps forward in BB%, K%, and HR/FB% namely, he demonstrated a clear departure from his earlier days, but if he regresses in those areas, he could dip below 100 wRC+ again.

In fact, if we take his 2017 BB% from 5.9% down to 4.5%, his K% from 18.0% up to 21.2% (league average), and his HR/FB from 16.4% down to 13.8% (league average), we get the following 2017 output for Rosario:

Year AVG OBP SLG HR R RBI SB wRC+ fWAR
2017 .274 .303 .464 22 71 70 8 97 1.2

Veritable skills don’t evaporate overnight, and you don’t massively improve your plate discipline stats by accident so I wouldn’t expect to see such a steep decline in production from Rosario in 2018, but it’s important to note that those modified rate stats would still represent career-bests for him. This “What If?” stat line simply highlights how important maintaining his 2017 approach will be for him this year. There is plenty potential for Rosario to post another .800+ OPS season as a selective, high-ball hitter, but his track record suggests the bottom could fall out if pitchers can effectively force him out of this new comfort zone.


A Second Look at a Team Full of Free Agents

At the beginning of February, Travis Sawchik wrote a piece about the viability of a team consisting entirely of unsigned free agents. I enjoyed the exercise as it underscored the extent to which players had been waiting to sign deals. Even that late in the year it was easy to field a competitive team, albeit an expensive one. Free agency is always considered to be more expensive than a homegrown team, hence the reason small market teams have to trade free agency bound players and retool, so it was no surprise that to create a decent team, the payroll had to be exorbitant. If you assume one WAR is worth $8-9 million dollars, then you would predict a 40 WAR team to cost over $300 million dollars in payroll. Sawchik’s team ended up costing $245 million dollars for the first year and was projected for 37.1 wins above replacement. While this was good for only $6.6 million dollars per WAR, it would still be the most expensive team in baseball and have to fight to stay in the wild-card race.

At the time I thought this was a good reminder of why the offseason was so slow; it just didn’t make sense for teams to meet players contract demands when it was so inefficient. In the following weeks though, players started signing at a faster rate, and again and again, I was taken aback by how little they were receiving. The $4 million dollar contract for Neil Walker was the most surprising of all for me. With seven straight seasons of at least 2 WAR and no qualifying offer, it seemed obvious to me that he deserved considerably more this. If you were to plug one year of Neil Walker into the surplus value calculators that Dave Cameron used to commonly employ, it estimates that Walker has $16 million in value for 2018, this is nowhere near what he ended up receiving.

Because of this, I decided to do a different spin on Sawchik’s team building exercise, using the contracts players actually signed, as opposed to projected contracts. Here is the team I came up with:

Team of Signed Free Agents

Batters Position WAR DC Proj. $/Year (mil) Years Total $ (mil) $/WAR (mil) QO
Lucroy C 2.9 $6.5 1 $6.5 $2.2
Duda 1B 1.7 $3.5 3 $10.5 $2.1
Walker 2B 2.6 $4.0 1 $4.0 $1.5
Moustakas 3B 2.7 $6.5 1 $6.5 $2.4 Y
Cozart SS 3.4 $12.7 3 $38.0 $3.7
Gomez LF 1.4 $4.0 1 $4.0 $2.9
Cain CF 3 $16.0 5 $80.0 $5.3 Y
Martinez RF 3.4 $22.5 5 $112.5 $6.6
Alonso DH 1.8 $8.0 2 $16.0 $4.4
Avila C 1.2 $4.2 2 $8.3 $3.5
Nunez UT 1.3 $4.0 2 $8.0 $3.1
Rasmus OF 1.2 $0.5 1 $0.5 $0.4
Pitchers Position WAR DC Proj. $/Year (mil) Years Total $ (mil) $/WAR (mil) QO
Darvish SP 4.2 $21.0 6 $126.0 $5.0
Cobb* SP 2 $12.0 4 $48.0 $6.0 Y
Minor SP 1.9 $9.3 3 $27.9 $4.9
Sabathia SP 1.6 $10.0 1 $10.0 $6.3
Vargas SP 1.5 $8.0 2 $16.0 $5.3
Swarzack RP 1.2 $7.0 2 $14.0 $5.8
Gregerson RP 1.1 $5.5 2 $11.0 $5.0
Hernandez RP 0.7 $2.5 2 $5.0 $3.6
Petit RP 0.5 $5.0 2 $10.0 $10.0
Albers RP 0.4 $2.5 2 $5.0 $6.3
Watson RP 0.4 $3.5 2 $7.0 $8.8
Benoit RP 0.1 $1.0 1 $1.0 $10.0
Liriano RP/SP 1.2 $4.0 1 $4.0 $3.3
Total 43.4 $183.6 57 $579.7 $4.2
*MLB trade rumors projection

DC Proj. are the Fangraphs depth chart projections

QO is whether or not the player had a qualifying offer attached

As you can see, the result of this team is much more successful than the team using projected contracts. I managed to stay under the luxury tax threshold ($197 million minus $13 million projected for player benefits) while creating a team that would be eighth in major league baseball in projected WAR just ahead of the Cardinals and behind the Nationals. Think about that, a team with no prospects, no homegrown players, and no assets to trade from could create a competitive baseball team from scratch through one year of free agency. And the team isn’t completely sacrificing its future either, as only four of the contracts are for more than three years. I can’t stress enough how surprising this is.

Instead of showing that free agency is completely inefficient for teams, this shows how easy it would be for a team to be projected for a playoff spot in the year’s offseason. Adding even a couple homegrown players, which every team has would boost this team into the ranks of other division leaders. So why is this the case? How was an entire team of free agents created for $4.2 million dollars per projected WAR? What happened to the accepted value of $8-9 million dollars per WAR?

I found both of these questions kind of perplexing since I could not find a good reason why the price of a win had dropped so quickly, but I decided to compare some of the most surprising contracts with similar players who were traded, and what the return was. All of the following free agents received considerably less than expected salaries based on their projected WAR and the following traded players were traded this offseason and have played a similar position and projection to the selected free agents.

Selection of Signed Free Agents

Name Age WAR DC proj. Contract
Mike Moustakas 29 2.7 1yr/6.5 mil (QO)
Todd Frazier 32 2.5 2yr/17 mil
Neil Walker 32 1.9 1yr/4 mil
Carlos Gomez 32 1.4 1yr/4 mil
Jonathan Lucroy 32 2.9 1yr/6.5 mil

Selection of Traded Players

Name Age WAR DC proj. Contract Return
Evan Longoria 32 2.8 5yr/68 mil + option Christian Arroyo (81 on MLB Pipeline), 2 other prospects, Denard Span (1yr/9 mil + option)
Dee Gordon 29 1.9 3yr/37 mil 2 prospects (both top 20 in Marlins system)
Yangervis Solarte 30 0.9 1yr/4.1 mil + options (5.5 and 8 mil) Edward Olivares (top 20 in Padres system), 1 other prospect
  1. Contracts according to Spotrac 2) Prospect rankings according to mlb.com

While these are only specific examples, all three comparisons, between Longoria and Moustakas or Fraizer, between Gordon and Gomez, and between Walker and Solarte, show a higher value placed on traded players than on free agent ones. Even with Longoria’s $68 million owed, he still returned three prospects in a trade. The Rays did take on Denard Span’s contract, but this salary dump was made up for by Arroyo alone, who is worth $20.2 million according to the Updated Version of MLB Prospect Surplus Values. Despite this, Moustakas received a tenth of the guaranteed money, and Frazier, who didn’t have a qualifying offer, a quarter of Longoria’s contract. So while Longoria had surplus value in a trade to the Giants, Frazier, and Moustakas, whose projections are very close to Longoria’s, couldn’t get anything close to his contract.

Similar situations occur with the other two comparisons. Dee Gordon was worth two prospects in surplus value, but Carlos Gomez, who is only projected to be a half-win worse, couldn’t even get 15% of Gordon’s guaranteed money. Also, the Blue Jays traded two prospects for Solarte this winter, even though he is making slightly more money than Neil Walker, and is projected to be only half as valuable. These both seem to be huge gaps between the value on the trade market, and value on the free agent market.

Then there is Jonathan Lucroy. While there were no significant catcher trades this offseason, comparing Lucroy’s Fangraphs projection to his contract is absurd.He has the fourth highest projected WAR for catchers in all of baseball, meaning that 27 teams could have upgraded by signing him, and yet he received $6.5 million. Granted, this projection seems high, but it’s easy to forget that two years ago he was a 4.6 win player. It seems to me that he would be worth much more than $6.5 million.

It is hard to know what all of this means. Do our WAR models overestimate mid-level talent? Do teams have projections very different from what is in the public sphere? Does it really have a lot to do with what teams think they can do with a player as opposed to their present value as was brought in a recent piece by Jeff Sullivan? Was the $8-9 million per win phase really just a contract bubble that has burst? While it is true that the gap in value between trade candidates and free agents is what you would expect if there were to be collusion from general managers, I think there is little other evidence of that, but it is still confusing why some player values seem to have dropped so quickly when compared to previous markets. I feel like I have brought up more questions than I have answered, but one thing is clear to me. If the trends from this offseason continue, looking to free agency for mid-level players will be much more efficient than it once was for teams. It seems unlikely that contracts for these types of players stay this low, however, since as any economics textbook can tell you, demand drives the price up. I would guess that plenty of teams will once again realize the value of Neil Walker for $4 million a year in the coming weeks, months and years ahead.


Estimating Team Surplus in Jose Altuve’s 2013 Deal

In July of 2013, Jose Altuve agreed to a four-year contract extension with two club options for the 2018 and 2019 seasons that guaranteed $12.5 million and a $750,000 signing bonus. Now that the Astros have picked up the club option at $6 million for the 2018 season and will pick up the club option at $6.5 million for the 2019 season, the deal will end up totaling 6 years for $25.075 million (this figure includes $75,000 accrued in incentives). What is important to note about this extension is that the deal bought out all three of Altuve’s arbitration eligible years (2015-2017) at $2.5, $3.5, and $4.5 million respectively and through the club options, controls his first two years of free agency.

In 2013, Altuve was following a 2012 All-Star campaign where he slashed .290/.340/.740. However, at the time the deal was signed on July 13, 2013, Altuve had seemed to regress slightly hitting .280/.317/.671 through 86 games. Following the 2013 season, Altuve’s stock soared, culminating in an MVP 2017 when he led the majors with an 8.3 WAR.

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(Image from sportingnews.com)

Looking back on this contract, the deal obviously resulted in a large team surplus; however, contracts like this have had mixed results in the past (think Allen Craig) so I must stress that the point of this article is not to bash Altuve for signing the deal or laud Jeff Luhnow and the Astros for getting this deal done when they did. The point of this article is, if we hold Altuve’s past performance constant, had Altuve not signed this extension and instead had gone the more traditional route of going through three years of arbitration then hitting free agency, how much could he have expected to make along the way? Although I could see this article going in many different directions, such as trying to assess the level of risk Altuve signed away in July of 2013 or, in a similar way, trying to quantify the amount of the risk the Astros took on by signing the deal (this risk is definitely magnified due to the fact they started the 2013 season with a payroll of just $22 million), I believe knowing what transpired over the last 6 years, calculating the surplus on this deal is that most interesting way to proceed.

For the purpose of this article, I am assuming that Altuve worked on one-year contracts through the 2017 season when he would have hit free agency. I am also assuming that during each arbitration year, any of the three possible arbitration outcomes (player victory, team victory, or prior settlement before a hearing) could have occurred. To assist in keeping track of the many numbers presented in the remainder of this article, I have prepared the following table:

screen-shot-2018-03-17-at-10-29-25-am.png

2013/2014 Offseason

Since Altuve would have been under team control, 2014 is the easiest season to estimate surplus and was clearly the most player-friendly year for Altuve. During 2014, Altuve’s salary jumped from the $510,000 he most likely would have received under team control to a $1.25 million base salary plus a $750,000 signing bonus and $25,000 in incentives. Hence, during the 2014 season, Altuve saw approximately $1.515 million dollars in surplus on this deal. For a player under team control, this number is pretty much unheard of, however, after 2014 is where the deal’s problems started.

2014/2015 Offseason

The 2014 season was clearly a breakout campaign for Altuve who hit .341/.377/.830 with 56 stolen bases and 225 hits. Since we are talking about his first arbitration-eligible offseason, it is important to keep in mind that Altuve’s .341 batting average and 225 hits both led the league. These more traditional statistics may not impress the sabermetrically savvy readers of FanGraphs, but the truth of the matter is that arbitration salaries are still very much reliant on these traditional metrics.

In the 2014/2015 offseason the largest contracts awarded to hitters who were arbitration eligible for the first time were Chris Carter ($4.175 million), Trevor Plouffe ($4.8 million), and Dayan Viciedo ($4.4 million; however, Viciedo was released at the end of Spring Training of 2015). None of these players are great comps for Altuve who only hit 7 home runs in 2014; however, they clearly set the market for top first-time arbitration eligible hitters. While someone like Carter may have hit 37 home runs and used this traditional measure of player value to push his deal up, Altuve did smack 47 doubles during the 2014 campaign and actually had an OPS that was 31 points higher than Carter’s (.830 vs. .799). I think a fair claim to make from this is that both sides would have seen tremendous value from Altuve and my estimate of a $5.0 million salary for a first-time arbitration eligible player is fair. This gives the Astros $2.475 million in surplus on the 2015 contract for Altuve who in reality received $2.5 million and $25,000 in awarded incentives. This changes the tide and brings the total surplus of the contract through 2015 at $960,000 in favor of the Astros.

2015/2016 Offseason

In 2015 Altuve was named to his third All-Star team and continued to impress, leading the league in hits and stolen bases for the second year in a row on his way to finishing in the top ten in MVP voting and winning a Gold Glove Award at second base. During the second year of arbitration salaries tend to jump up a lot, so after backing up his 2014 campaign with an even stronger 2015 season, a fair estimate for his 2016 salary is $11 million. Now, since Altuve ended up earning $3.525 million in 2016, assuming the $11 million salary is correct, the Astros’ surplus in 2016 was $7.475 million, making the total surplus of the deal through 2016 $8.435 million in favor of the Astros.

2016/2017 Offseason

I’m sure this will come as no surprise that Altuve backed up his All-Star 2015 campaign by leading the league in batting, increasing his home run total to 24, and finishing third in 2016 MVP voting. These are exactly the type of numbers that jump out of a presentation to an arbiter and due to the precedent of great value placed on high impact position players in their third year of arbitration, it is fair to assume that the 2016/2017 market would have been high on Altuve. Further evidence of this fact can be found in the 2017/2018 market that saw Josh Donaldson set the arbitration record by reaching a 2018 salary of $23 million. In addition, Bryce Harper settled on a 2018 salary of $21.625 million in May of 2017 after coming off a massive step back in production from 2015 to 2016 that saw him hit 18 fewer home runs and his on-base percentage to drop 87 points (Harper did rebound strongly during the beginning of 2017 right before this deal was signed). For these reasons, it is safe to assume that Altuve could easily have expected a 2017 salary of $20 million, leaving $15.5 million in team surplus and totaling $23.935 million in the deal.

2017/2018 Offseason: Free Agency!

Finally, a lot has been made over the free agent market this year, but the fact of the matter is that this past offseason Altuve would have been a 27-year-old reigning AL MVP hitting free agency. If the 5 year 151 million dollar extension he signed yesterday is any indication of the deal he would have received, I think 8 years at $225 million paying $23 million in 2018 and $25 million in 2019 is a conservative estimate. Based solely off this past year’s market, people may scoff at the length and dollar value of this deal, but the comparison of what Altuve’s situation would have been to the situations of this year’s free agent class are not strong due to the fact that the three main reasons this class struggled, do not pertain to Altuve. The first reason this past year’s free agent class struggled is that teams now have a better understanding of how players age and are not offering long contracts to players hitting free agency at 29 or 30 years old anymore. The second reason is that not enough teams are trying to compete for a playoff spot in 2018 due to the many rebuilds that are taking place. Because of this fact, there were fewer teams in the market submitting bids and driving up prices. The third reason is that lower WAR players who excel at putting up big numbers in traditional statistics like home runs (i.e Mike Moustakas) are finally being more fairly valued.

Being one of top players in the league at just 27 years old Altuve would have faced none of these problems even if only one team (say Milwaukee) had competed with the reigning World Champion Houston Astros to sign Altuve. The presence of just one other team in the market would have been enough to drive up the price making the Astros not afraid to pull the trigger on this big deal.

For the purpose of this article, the only two years we are worried about are the first two years (2018-2019), which are covered under Altuve’s actual contract at $6 million and $6.5 million. Thus, the Astros will receive $17,000,000 in surplus in 2018 and $18,500,000 in surplus in 2019, totaling $59,435,000 in surplus during the length of this 6-year contract. Talk about a team friendly deal!

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(Image from clickhole.com)

Lastly, a quick note on what transpired yesterday. In my opinion, Altuve signing his second extension is a double down on the risk-averse behavior he first exhibited in 2013. Had he waited the two years until his current deal expired and hit free agency at age 29, teams once again may have shown the pattern of this past offseason and may not have been willing to give a 29-year-old more than a 5-year deal. Thus, Altuve’s contract way back in 2013 may have dealt his hand yesterday and forced him to sign this contract. The 2013 team friendly deal once again works perfectly for the Astros who were able to extend Altuve for five years while getting to take him off the books by his age 34 season.


The details on player contracts were taken from spotrac.com.


Recognizing The Best Defensive Catcher in Baseball

Tucker Barnhart has been an invaluable defensive catcher for the Reds recently, and his impressive 2017 season earned him a Gold Glove. After all, he had a .999 fielding percentage in 2017! He truly was a really important part of the Reds team last season and should be commended for his efforts.

Though there was another catcher last season, who was better than Barnhart. The player who was more impressive last season, who did not receive sufficient recognition for his efforts, is Austin Hedges. He took over the starting catching job for the Padres last season, and despite having a 71 wRC+, the team stuck with him behind the plate for the entirety of the season. The team is rebuilding, but traditionally when a player is producing so poorly on offense, they do not continue to receive everyday playing time. Unless they are so talented on defense, that it simply doesn’t really matter that they don’t hit very well. This is exactly the reason for Austin Hedges taking over the starting catcher role in San Diego last year.

Hedges should have won the Gold Glove at catcher last season, though obviously the reasoning behind him being superior to Barnhart must be explained. These are the likely reasons why Barnhart won the Gold Glove, and why they are flawed in being able to truly represent his individual performance as a catcher:

  1. .999 Fielding Percentage – This hinges too significantly upon the official scorer’s rulings. Evidently Barnhart got very lucky this season in terms of  being held culpable for defensive miscues by the official scorers.
  2. 44% Caught Stealing Percentage – Pitchers are much more significant to this statistic than people are often aware of. If a pitcher cannot hold runners on or is slow in his delivery of pitches to the plate, the catcher’s chance of throwing runners out can sometimes be eliminated altogether.

Miguel Montero echoed this sentiment perfectly in June last season, and despite his words resulting in his being released by the Cubs, it nonetheless holds true: “It really sucked because the stolen bases go to me. And when you really look at it, the pitcher doesn’t give me any time.”

Furthermore, Blue Jays outfielder Anthony Gose addressed base stealing, saying “It has nothing to do with the catcher,” and that “It’s on the pitcher and his times.” While this statement may be taking things too far, the idea here is that the pitcher is more significant to limiting baserunners than people often realize. As far as this concept is related to Barnhart and Hedges, the point is that Barnhart was simply helped out more by his pitchers, who were faster at pitching to the plate than the Padre pitchers Hedges was handling.

Barnhart also led the league in runners caught stealing, with 32, however, this statistic is flawed for the same reasons as Caught Stealing Percentage. Hedges’ fielding percentage was .990, and he had a 37% Caught Stealing percentage. Focusing on these simple statistics is not sufficient for evaluating catcher defense, which should be obvious in the context of how they were debunked earlier in the article. There are actually more advanced, as well as simple measurements that both indicate Hedges’ superiority over all other catchers in baseball defensively.

First of all, looking at the Baseball Prospectus defensive catcher data, reveals that Hedges lead the league in 2017 in multiple statistics:

Rank NAME Framing Chances Framing Runs Blocking Chances FRAA_ADJ FRAA
1 Austin Hedges 6,708 25.9 4536 29.2 31.8
2 Martin Maldonado 8,267 23.7 5294 27.5 28.1
3 Tyler Flowers 5,348 29.6 3763 27.9 27.3
4 Yasmani Grandal 6,735 22 4553 22 23.7
5 Caleb Joseph 4,629 17.2 3113 18.9 19.1
6 J.t. Realmuto 8,394 8.3 5763 10.9 19
7 Roberto Perez 4,255 15.2 2906 17.5 17.1
8 Welington Castillo 5,967 9.7 4170 13.8 13.4
9 Austin Barnes 2,931 12.3 1982 13.2 12.3
10 Christian Vazquez 5,935 10.5 4133 13.6 11.1

Leading the league in Fielding Runs Above Average, and Adjusted Fielding Runs Above Average, is no small feat. Clearly, Hedges has a special defensive ability, that has not seemed to be recognized sufficiently. As far as the data above is concerned, he is a step ahead of even the second-best defensive catcher in the Major Leagues last season.

Recently Statcast released public data measuring catcher pop times, and Hedges topped the list in average pop time:

Rank Catcher Arm (mph) Exchange Average Pop Time CS Time SB
1 Austin Hedges 85.7 0.72 1.89 1.92 1.88
2 J.T. Realmuto 87.3 0.68 1.9 1.92 1.88
3 Gary Sanchez 87.8 0.73 1.93 1.93 1.92
4 Manny Pina 84.9 0.67 1.93 1.96 1.92
5 Martin Maldonado 87.7 0.75 1.93 1.94 1.93
6 Yadier Molina 83.3 0.74 1.97 2 1.93
7 Welington Castillo 82.6 0.66 1.94 1.94 1.94
8 Drew Butera 86 0.73 1.95 2.01 1.94
9 Josh Phegley 80.4 0.68 1.97 2.01 1.94
10 Roberto Perez 84.4 0.72 1.95 1.96 1.95

Also significant here is the fact that many catchers’ pop times on plays that resulted in runners being caught stealing, were slower than their average pop times. This confirms the earlier point that caught stealing statistics are influenced by the pitcher’s ability to get the ball to the plate quickly or not. Barnhart checks in at 22nd on the list of catcher pop times, recording pop times of 2 seconds flat across all three times being measured in the table above. Yet he led the league in runners caught stealing, which illustrates the effects of pitchers and obviously baserunners, on the caught stealing percentages of catchers. Hedges was objectively the fastest at getting the ball to second base last season among Major League catchers, which is yet another reason for his being the premier defensive catcher in Baseball.

Borrowing from Travis Sawchik’s piece last June, he says this regarding Pitchers and Catchers handling baserunners:

“Generally speaking, pitchers with times of 1.3 seconds and quicker to home are going to slow the run game, while anything above 1.5 seconds is going to entice teams to run. As such, a battery is generally looking to record a total time of 3.3 seconds or less. That should prevent most baserunners from stealing. Between 3.3 and 3.5 seconds is average. Above 3.5 seconds is likely to be a problem.”

Given that Hedges’ average pop time is 1.89 seconds, Padre pitchers can actually release the ball in 1.41 seconds to home plate, for the batteries to record a total time of 3.3 seconds. What is special about Hedges, is that he actually helps compensate for pitchers who are slow to the plate, because his release is lightning quick, and his throwing arm is so accurate. Watch him make up for Tyson Ross’ 1.59 second time in his pitch to the plate, and throw out Elvis Andrus with a pop time of 1.82 seconds:

Animated GIF

Ross threw a slider at 85 mph, yet Hedges was still able to throw out the runner. Watch Jedd Gyorko’s glove here – He does not move it at all to catch the throw. It was not only lightning fast, but also a near-perfectly accurate throw. There are no catchers in Baseball who would have made that play, outside of Austin Hedges. The times of Ross and Hedges are self-timed by the writer of this article, and the average times were 1.59 and 1.82, though if one wants to they can time it themselves – The times will be quite similar to the numbers above.

Even more impressive than this play, however, was when Hedges threw out Billy Hamilton from his knees this past August. His Pitcher Luis Perdomo threw a low slider in 1.42 seconds to the plate, and Hedges actually has a pop time of 1.72 on this play to just get Hamilton. He was called safe initially but was determined to be out after replay review. Hedges didn’t even make a standing throw!

Animated GIF

Hedges combined with Ross for a total time of 3.41 seconds, and with Perdomo for a time of 3.14 seconds. Both times making up for a pitcher who was slow in delivering his pitch to the plate.

Statistical analysis is the basis of the article, yet at times it really is valuable to just watch a player in action, in order to truly understand what makes him talented. In the case of Hedges, there are plays he makes as a catcher that others at his position simply can’t make.

Watch Hedges reach for a low and-in pitch, then quickly get out of the crouch and run in the opposite direction to make an incredible play here:

Animated GIF

The Padres pitchers appreciate the effort, and ability Hedges brings to the table every game he plays, as Padre closer Brad Hand said very well:

“He does his homework. All the pitchers here have good trust in him. That’s good to see. He’s a young catcher, and you don’t really see that too often, a rookie catcher gaining that kind of trust from his pitching staff right out from the get-go. That’s a credit to him and the hard work he puts in.”

There are other talented defensive catchers in Baseball, yet there are none at the level of Austin Hedges. He knows how to handle the pitching staff, frames pitches as well as any catcher, blocks balls in the dirt with the best of them, and has a lightning quick release to throw out runners. The data presented earlier backs all of those claims. And the gifs help one visualize the true wonder in his defensive capabilities. The next time someone asks about the best defensive catcher in Baseball, the answer is now Austin Hedges.

Data used in this article was taken from Baseball Prospectus, Fangraphs, Statcast, and Video from MLB.com


Another Thing Joey Votto is Great At

If you walked up to me and said “Joey Votto is the best player in baseball”, I’d have a hard time finding a good argument against that. Heading into his twelfth season, Votto has been one of the most consistent players in the league. From 2007 on he’s played at least 110 games each year, with the exception of his rookie year and the injury-shortened 2014 season.

Using a summary of his last three years, you’ll see he’s been at or near the top in almost every major statistical category used to evaluate players.

  • Fourth in overall WAR
  • Second in Batting Average
  • First in On Base Percentage
  • First in BB/K rate
  • Third in Win Probability Added
  • Second in Weighted Runs Created Plus

Does Votto leave anything to be desired? Well, of qualified first basemen, he ranks 12th in DRS (3) and 16th in UZR/150 (2.6) since 2015. So if you could get on him for anything, it would be his fielding.

Hitting a baseball is one of the hardest feats to accomplish in any sport. I would venture to guess, whether you’re the pitcher or hitter, that a full count creates the most tension on the baseball field. I don’t think it takes a Bill James-like brain to figure out that 0-2 is a very tough situation to be in at the plate; the scales tipped heavily in the pitcher’s favor. Game tension is a fun energy to experience in baseball, which leads me to stick with looking into the more balanced full count.

Would you be surprised if I told you that no one has performed better in recent seasons under those conditions than Votto? But first, behold the predictable OPS under all two-strike counts!

  • 0-2, .389
  • 1-2, .419
  • 2-2, .470
  • 3-2, .814

Digging into the specifics of a full count, 30% of hitters get walked and 46% reach base. Votto is one of those 46%-ers. In fact, since 2015, no other hitter had a better wOBA under a full count than Votto.

Pretty impressive at the plate to begin with, every aspect of Votto’s at-bats are above average; needless to say, you’re going to have your work cut out for you when he comes to bat.

vottoPlateDiscipline

Votto has an advanced eye, which you can tell by only looking at his swings out of the zone; at least 10% lower than league average. On the other hand, he seems to make contact more than average when offering at those pitches. But, only achieves a paltry .219 when putting the ball in play. Regardless, pitchers have to be pretty careful with what they do to get him out lest he ends up on base and/or putting crooked numbers on the scoreboard. We’ll get to that in a minute.

Getting back to his production with a full count, we have three other hitters within reach of Votto. The qualifying threshold is 200 at-bats (regular and postseason), of which 28 hitters qualified. The following are tops in wOBA when faced with a full count. After that foursome, there is a very sharp drop off.

  1. Votto- .481
  2. Matt Carpenter- .480
  3. Kris Bryant- .467
  4. Mike Trout- .461

Votto and Carpenter are very close, one one-thousandth of a point, but Votto has been in this position 111 times more. The averages keep them close but there is no way to be certain Carpenter could keep that number consistent as his at-bats go up.

scatter(4)

No real correlation there but Votto and Bryant are the clear outliers; Carpenter and Trout are with them as well but are a bit further back in terms of pitches.

Votto also has the highest percentage of 3-2 counts in terms of pitches faced with 7.12% of his pitches being delivered in that situation; again with a minimum of 200 ABs. That’s an attribute to his plate discipline.

So how has he been so successful? This is where things get interesting. When Votto is faced with a 3-2 count, look where the pitches he has to work with are concentrated.

vottoHeatMap32

Furthermore, take a look at his career batting average based on zone location.

vottoBA

For whatever reason, pitchers seem to be content delivering a 3-2 pitch right into Votto’s butter zone. To be specific, the three pitches thrown at him the most in a full count are:

  • 34.8% Four-seam Fastballs
  • 17.2% Two-seam Fastballs
  • 17% Sliders
  • 9% Changeups

Almost half of the pitches thrown are fastballs of the two and four-seam variety. Guess what Votto eats up?

votto4Pitches

Those are the pitches Votto has seen the most since 2015. Coincidently, they are not only the four he sees most in 3-2 counts but also, with the exception of the slider, the pitches he has the most success against.

There are some pitchers don’t throw a slider but what I don’t understand is why they try to beat him with a fastball almost 50% of the time. It obviously doesn’t work. I’ll try to quantify as best I can, the situations Votto comes to bat under. Just going on what I have in the previous charts, maybe there aren’t many high-leverage situations when its Votto’s turn to hit.

For his career, he’s come to the plate 2,683 times with runners on base; 1,528 of those are with runners in scoring position. For the former, his OPS is 1.026 and the latter 1.079.

To give context to how much more/less Votto comes up with runners on base, I used the 2015-2017 average season numbers of total at-bats and divided that by 750. The 750 is 25 players per 30 teams. That’s a loose guesstimate but I would presume that through a given season a team holds at least that many (different) hitters on average, taking into consideration promotions/demotions/injuries/etc. That gave me 107 plate appearances per season with runners on base for the average hitter.

Then I used Votto’s career 2,683 PAs with runners on and divided it by his 11 seasons to get an average of 244 PAs per year. So, he has runners on about 44% more than the average hitter each season. Where he hits in the order DOES help but you have to remember he’s been playing on, for his career, a pretty mediocre Reds offense.

And, as a footnote, his worse performances are with runners on second and third followed by bases loaded; he excels with runners only on second, third, or first AND second.

That tangent we just went on only answered part of the question. We can’t know what the score was, the leverage index and other minor variables. All of those could change the way Votto is pitched to given the particulars. But, for whatever reason, the best hitter in baseball under a full count does not seem to be challenged much at all.

This post and others like it can be found over at The Junkball Daily.


Aiming for the Middle

There’s been much criticism of “tanking” teams in this slow offseason, or at the very least, criticism of teams who are not aiming to win now. Most notably the Marlins, Pirates, and now Rays have been held up as examples of teams who are not aiming to win. Fans, players and commentators have raked the teams and their ownership/management over the coals for embracing a strategy of failure.

Let’s leave aside for a moment what is a tank and what is a rebuildBut from an empirical standpoint, I find it simply inaccurate to assert that most teams are not trying to win in 2018 based on their offseason moves. Rather, I think there is a strategy emerging in the non-super-team group of aiming for slightly above average and hoping for a Wild Card berth. Indeed, given the increased supply of teams on the low end of the win curve selling current assets for future ones and the smaller marginal returns for teams at the top end, the middle-tier teams actually can scoop up value here.

I guess the thing I don’t understand, particularly regarding the trades, is that the team on the other side of the ledger matters. That is, the seller’s loss in the current season is still the buyer’s gain.

Currently, 7 teams project for 90 wins or more according to Steamer (Astros, Dodgers, Cubs, Indians, Red Sox, Nationals, Yankees). We can safely say these teams are aiming to be division champs. But the next tier of roughly 10-12 teams has been quite active this offseason in aiming for wild card slots and hoping things break right for themselves (and wrong for the division favorites).

Consider the Marlins’ sell-off. Yes, Stanton went to the Yankees, so “the rich get richer,” but the other three “sell-off” players — Christian Yelich, Marcell Ozuna, and Dee Gordon — all arguably went to teams who are in the “middle.” The Brewers project for 78 wins in Fangraphs currently, Cardinals for 88 and the Mariners 80.

And many teams that could decide to sell off are actually holding steady or gearing up for another shot at the title.

Plenty of Mets commentators decried the Mets’ offseason as giving up on the season before it started, but the Mets have added $88M in salary obligations and roughly 6 extra projected WAR next season. The “middle class” of free agents is a value proposition for the Mets, who picked up Todd Frazier on the cheap. The Mets project 11 games back of the Nationals, but they’re still aiming for the middle, deciding that the possibility of even the one-game playoff is worth it and remembering that even superteams do fall apart.

Similarly, the Blue Jays, a team that won 76 games last season should have, if the “everyone’s tanking” narrative were correct, sold off Josh Donaldson. Instead, the team has re-loaded for another run in a division with two 90-win superteams with some tweaks to engineer a team capable of sneaking into the wild card race, adding roughly 5 WAR through a combination of free agency and trades.

And these moves are in keeping with what we might expect from Jesse Wolfersberger’s calculation of the second wild card win curve:

If you’re unlikely to beat out the top teams, maybe better to hover opportunistically around the middle and stumble into a playoff spot. The second wild card may make the value of the first wild card lower, but it stretches out the tail of value for teams in the 85-90 win range.

Even teams arguably outside the window of contention right now are aiming for the middle. The Padres just signed Eric Hosmer to a huge deal. They wouldn’t do that if they didn’t think they were close to contention. The Pirates, who were roundly condemned for trading Gerrit Cole, actually got good players in exchange who are ready to play in the majors, like Joe Musgrove (injury notwithstanding) and Colin Moran. (Indeed Musgrove and Moran currently combine to project for more 2018 WAR than Cole at the moment!)

It’s not sexy to aim to be number 2. To quote notable philosopher Ricky Bobby, “If you ain’t first, you’re last.” American culture and sports culture in particular places dominance and winning above all other goals. But given the randomness of the sport and the recent history of failure among projected “super teams,” there is a reasonable strategic position to embrace aiming for the middle. And as the offseason price of free agents fall, it seems that many teams are doing just that.