Archive for Josh Donaldson

Gary Sanchez Should Bat Second

What do Mike Trout, Josh Donaldson, Dustin Pedroia, Corey Seager and Manny Machado all have in common? Besides the numerous accolades that they share between the Rookies of the Year, the Silver Sluggers, the MVP awards and the combined 16 All-Star appearances, they all share one less obvious trait: they have more career plate appearances batting second in the lineup than anywhere else. Gone are the days of your team’s best player batting third or fourth. The new normal is now MVP-caliber players batting second. It has worked for Pedroia and the Boston Red Sox, Machado and the Baltimore Orioles, Donaldson and the Toronto Blue Jays and Seager and the Los Angeles Dodgers. Not for nothing, but those teams all made the postseason last year with large contributions from their second-hole hitters AND Trout was the AL MVP for the second time in his career on a last-place Los Angeles Angels team. And as more teams continue to adopt this trend, the New York Yankees should also look to bump up their best hitter.

In an appearance the other week on a YES Network interview, GM Brian Cashman has stated that the Yankees have kicked the tires on splitting Brett Gardner and Jacoby Ellsbury in the lineup. This makes a lot of sense when looking at their game; they both rely on their ability to get on base and set the table more so than their ability to drive in runs. Additionally, both players have slowly, but noticeably, been in decline in recent seasons, primarily due to age and injury. Gardner has been the subject of trade rumors over the past few seasons and Ellsbury has been the ire of the New York media for largely failing to live up to the seven-year, $153-million deal he signed before the 2014 season. River Ave Blues has already had a look at how the Yankees would approach this situation and they have provided a solid solution, but they almost immediately toss out the idea of Gary Sanchez batting there for one reason or another, while Sanchez is most deserving of the promotion.

Sanchez has established himself as the Yankees’ most dominant hitter after bursting on the scene last year. The Yankees, their fans, and the nation all expect Sanchez to hit in the third spot in the lineup, a prestigious position considering the history of the franchise, but moving the young slugger to second would not only better suit the team, but would also play to his strengths. Sanchez, despite the short sample size of 231 plate appearances, has proved to be a pretty good fastball hitter. Of the 294 fastballs he has seen, he has connected for a .328 AVG and .781 SLG, and nine of his 20 home runs. Why does this matter? Traditionally, number-two hitters have seen more fastballs than elsewhere in the lineup, and to further cement his commitment to the fastball, per Brooks Baseball, Sanchez had an exit velocity of 94.3 MPH against the heater (Sanchez ranked in the top 10 in overall exit velocity last year). Young players are also traditionally late to adapt to major-league breaking pitches. Can you blame them when they’re up against this or this?

Secondly, it has been proven that two-hole hitters collect more plate appearances per season than the three through nine spots. This is not new information, but the exact number of plate appearances has been up for debate for years. Beyond the Box Score might’ve ended the debate while also examining how the two hole has changed, stating that “[e]ach drop in the batting order position decreases plate appearances by around 15-20 a year,” which might explain why MVPs Trout and Donaldson have made a living there over the past few seasons. An extra 10-20 plate appearances could mean an extra home run or two over the course of the season. Baseball is a game of inches, but it’s also a game of runs.

With a lineup bereft of veteran power and more intent on utilizing the “Baby Bombers,” as they’ve been so aptly named, moving Sanchez up to second could and should give the lineup a much-needed boost if the reliance on Greg Bird and Aaron Judge should go somehow awry. Veterans Matt Holliday, Chase Headley and Starlin Castro have had good seasons and impressive resumes, but they need to return to All-Star form to carry a team of youngsters and a questionable starting rotation. No one really expects Sanchez to produce at the same rate that he did last year, but perhaps a bump up would allow him to produce at an above-average level again.


An Early Look at the AL MVP Race

[This analysis is also featured in our emerging blog www.theimperfectgame.com]

With less than one month to go, the American League MVP race is very close. While usually nothing is set on stone in early September, during the last few years the AL MVP has been a two-man race (Mike Trout with either Josh Donaldson or Miguel Cabrera). This year, however, features five remarkable candidates: Mookie Betts, David Ortiz, Jose Altuve, Mike Trout and Josh Donaldson. Yes, I expect a few other to grab a few top-five votes (e.g. Cano, Cabrera, Lindor and Machado) but I don’t anticipate the award to fall outside those five players.

Let’s look at the classic, old-school numbers first, which not only are sometimes referenced in casual conversations at local bars and pubs but also frequently (and occasionally unfortunately) followed by voters. I’ve plotted R, RBI, HR, OBP, SLG and SB as percentiles of the entire population. Let’s take a quick look.

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If you like well-rounded players, probably this year you’re excited with Altuve, Trout and Betts, who dominate across the board. In an era where stolen bases keep declining, 20+ SB will get you to the 90th percentile. On the other hand, if you’re into true sluggers, then the show Ortiz has put this season should be one to remember. However, then again, these metrics paint only part of the picture — they don’t take into account when or where each event happened nor they include defense or base running on its most complete form.

Let’s take a deeper look at WAR and a quick indicator for each batting, fielding and base-running performance.

 

Player WAR wRC+ UZR/150 BsR
David Ortiz 4.0 164 0 -7.4
Jose Altuve 6.6 160 -0.4 0.3
Josh Donaldson 7.1 161 10.6 -0.8
Mike Trout 8.1 175 -2 8.0
Mookie Betts 6.6 138 16.4 8.0

Obviously when we move away from batting, David Ortiz loses ground — he only contributes in one aspect of the game, and while he has been outstanding in the batter’s box, likely it will not be enough for him to win. When we adjust by park and league, we realize the Trout – Betts race for the best OF is not as close as I initially thought. Trout has quietly put a(nother) great season on an awful team (again) — he’s already at 8.1 WAR and a 175 wRC+, with both easily leading the league. His defense is slightly below average at best but he compensates by running extremely well. Altuve and Donaldson have had similar seasons offensively. However, Altuve is having a down season in both defense and base-running (remarkably low on Ultimate Base Running (UBR), which measures how frequently and effectively a runner takes an extra base via running). Betts drives his value largely from his defense, where he’s settled in nicely as one of the best OF this year.

One of the metrics I tend to assess when I look at awards is how performance was spread the entire season. I want an MVP to be someone that I rely throughout the year, not only during a hot stretch. Additionally, having a big month can really uplift the numbers and build up a misleading argument in favor of someone. Let’s understand how wRC+ is split by month.

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This picture to me is interesting for a couple of reasons. First, part of the argument on Betts’ candidacy is that he’s getting better, and delivering when it matters the most — in the middle of a pennant race. After a below-average March/April, Betts has been a beast since July, when Ortiz cooled off a bit. Now, then again, Mike Trout has also followed an upward-trending curve — peaking at 206 in August — and his lowest point is at 144, which is the highest of all lowest points in the sample. From my perspective, if everything else is equal, I’d rather have a Trout-esque curve than Donaldson’s one, who has the highest single-month wRC+ (213 in June) but also with the largest swing (118 difference between May and June). And then you have remarkably constant Altuve — with the narrowest gap between highest and lowest points throughout the season and at least 140 wRC+ in any given month.

Now, most of what we have shown up to now is context-neutral. An argument could be made that every single game is worth the same, regardless of whether it’s in April or July — what’s really important is to deliver in key, high-leverage situations. There is where true MVPs show their full potential to influence a team and define its fate. As they say, a home run against a non-contender team when you are losing by five runs is not as valuable as a game-winning double against our wild-card-rival’s closer in the 9th inning. I’ll admit neither OPS in high-leverage situation or Win Probability Added (WPA) is the perfect metric to evaluate this, but they provide a very good proxy to how well they have fared in tough, game-changing situations. If you are not familiar with WPA, please click here.

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Again we see the usual suspect — Mike ‘King’ Trout — leading not only this graph but the MLB with his 5.66 WPA, closely followed by Josh Donaldson, and they’re the only two players from this sample to have a higher OPS in high-leverage situations than in low-leverage ones. Interestingly, Boston’s Betts and Ortiz’s OPS go down 9% and 15% respectively when the stakes are high. I definitely don’t want to say that Altuve’s 0.841 OPS in high leverage is bad, but I certainly want to recognize Donaldson’s and Trout’s clutchier performance.

Another way of looking at the MVP is to ask yourself: Where would that team be if that player wouldn’t have been part of it? While in essence it is impossible to know for sure the answer, a nice proxy is to measure what percentage of position-player WAR is that player responsible for, i.e. what percentage share does this player represent.

Player WAR Team WAR %
David Ortiz 4.0 28.7 14%
Jose Altuve 6.6 18.8 35%
Josh Donaldson 7.1 21.4 33%
Mike Trout 8.1 17 48%
Mookie Betts 6.6 28.7 23%

 

Well, this is another way to see Mike Trout’s leadership on the field. Almost half of the Angels’ WAR have Trout’s name attached to it, which is amazing. (For reference, the leaders in this table are Khris Davis and Marcus Semien with 122% (2.2 WAR each out of 1.6 Athletics total WAR). Now, Donaldson and Altuve have, too, a remarkable 33% and 35% of their total, but probably Betts falls short again with his 23%.

At the end, when all is said and done, it looks like numbers indicate it should go down to a Donaldson vs. Trout race, just as it was in 2015. Ortiz has had an amazing season but his base-running and defense (or lack thereof) limit his overall impact on his team. Betts is definitely an exciting, five-tool player, but his performance hasn’t been as good as Donaldson’s or as consistent as Trout’s. Additionally, Boston’s talent-loaded team reduces his value (this is the opposite of the Trout-Angels argument – how valuable can you be when your team would perform well, even if you’re not there?). His future is extremely bright though. Finally you have Altuve, who may have a legitimate case but falls (a bit) short on overall performance to Donaldson and Trout. Houston has under-performed and arguably that’s a worse outcome than Trout’s, because we knew the Angels were going to be bad, but we thought the Astros would be better.

Last year, Donaldson built his case with a magnificent August, when he posted a 1.132 OPS and Toronto got to first place in the AL East. This year it was Trout who had a torrid August, but the Angels are not in the wild card race. It surely seems to me as if we are measuring the MVP as a team award. Though I understand the rationale of having an MVP on a winning team, there is more to it. If I had a vote, and still being a few games away from the end of the season, I’d support Trout in his quest for his second MVP (as of today), but it looks like momentum and narrative are gaining traction around Donaldson — who has posted much better numbers than in his MVP season — Altuve — who brings new blood to the MVP discussion and might get an extra push if Houston makes it to the playoffs — and Betts — who is clearly the face of Boston’s extremely talented young generation. They, though, despite great Septembers, will post worse numbers than Trout. Yes, the Angels are a bad team — but to what extend is that Trout’s fault? What else could he have done? When did ‘valuable’ translate into ‘winning by himself beyond reasonable expectations’? When did we change this award to ‘best player on the best team’? In 2012 it was Cabrera’s Triple Crown and in 2015 it was Donaldson’s ‘ability’ to get Toronto to the postseason for the first time in many years. In 2016, Trout has been comprehensively better, avoided any deep slumps during the season, and performed very well under pressure and shown that you can put counting stats up on a bad team. We are running out of excuses this year.


The Future is Bright, But Will the A’s Compete in 2015?

The Oakland Athletics may have finally completed their roster turnover on Wednesday with their most recent deal sending Yunel Escobar to Washington for RP Tyler Clippard. However, you can never know if Billy Beane is finished making moves. With that being said, I’d like to break down the roster from last year to this year and assess whether or not the team will actually regress in 2015. The fact is that the Athletics got quite a bit younger this offseason and acquired many players with a lot of team control remaining. The distant future appears brighter now than it did prior to this offseason, but the main question is, will the Athletics be able to compete in 2015 as well as they would have prior to the roster turnover? Lets take a look at the numbers:

STARTING LINEUP

I will start by comparing the most common nine players in the A’s lineup last year to their projected starting nine this year, using WAR and wRC+:

[All stats give on the chart will represent the 2014 season in the MLB only. In further commentary I may bring up career numbers or minor league numbers for some players.]

2014 WAR wRC+ 2015 WAR wRC+
C – Derek Norris 2.5 122 C – Stephen Vogt 1.3 114
1B – Brandon Moss 2.3 121 1B – Ike Davis 0.3 108
2B – Eric Sogard 0.3 67 2B – Ben Zobrist 5.7 119
3B – Josh Donaldson 6.4 129 3B – Brett Lawrie 1.7 101
SS – Jed Lowrie 1.8 93 SS – Marcus Semien 0.6 88
LF – Yoenis Cespedes 3.4 109 LF – Sam Fuld 2.8 90
CF – Coco Crisp 0.9 103 CF – Coco Crisp 0.9 103
RF – Josh Reddick 2.3 117 RF – Josh Reddick 2.3 117
DH – Alberto Callaspo -1.1 68 DH – Billy Butler -0.3 97

2014 AVG WAR = 2.1 / Total wRC+ = 929

2015 AVG WAR = 1.7 / Total wRC+ = 937

As shocking as it may seem, this displays that the A’s should in fact score more runs with their lineup in 2015 than they did with Donaldson, Moss and Cespedes in the heart of their lineup last season. Although, this chart only accounts for 2014 stats, in which Billy Butler (among others) had an off year. If the A’s can get him back to, or even near his 2012 form, in which his WAR was 2.9 and his wRC+ was 139, they could be in for a significant upgrade on offense as a whole. One of the reasons why this lineup has the potential to be more successful even after losing a guy like Donaldson is because of the acquisition of Ben Zobrist. While Brett Lawrie is -4.7 to Donaldson in WAR and -28 to Donaldson in wRC+, Zobrist is +5.4 to Sogard in WAR and +52 to Sogard in wRC+, more than making up for the loss of Donaldson. While the A’s did use a lot of other DH besides Callaspo in 2014, he totaled the greatest amount of plate appearances from that spot, which might lower the 2014 numbers a little.

The average WAR is down slightly from last season, but with Stephen Vogt behind the plate and Marcus Semien most likely getting the every day job at SS, the A’s feel they are upgrading defensively. Semien’s numbers represent his slim 255 plate appearances in the majors last season, but in TripleA his wRC+ was 142. You cannot expect that out of Semien at the major league level, but it shows that he has potential to improve in 2015. The A’s did use a lot of players at each position last season and they will again in 2015; that is why it is important to also take a look at the bench players from last year and the projected bench for this year.

BENCH

While the 25-man roster is not set in stone for 2015 just yet, here is last year’s most commonly used bench players versus next year’s projected bench.

2014 WAR wRC+ 2015 WAR wRC+
Nick Punto 0.2 73 Craig Gentry 1.4 77
Craig Gentry 1.4 77 Josh Phegley 0.2 92 – 132(AAA)
John Jaso 1.5 121 Eric Sogard 0.3 67
Sam Fuld 1.3 73 Mark Canha N/A 131(AAA)

2014 AVG WAR = 1.1 / TOTAL wRC+ = 344

2015 AVG WAR = .48 / TOTAL wRC+ = 367(407)

While these numbers are a bit skewed due to the fact that Canha has not yet reached the majors and also because Jaso was actually a starter while he was healthy, they do give a good idea of what to expect in 2015. Sogard takes over for Punto as the reserve infielder. Fuld and Gentry will most likely platoon in LF, same goes for Vogt and Phegley at C. Since Fuld and Vogt are LH, they will see more time in the starting lineup, leaving Gentry and Phegley on the list of bench players for 2015. Gentry and Phegley will see most their time against lefties, which will likely help their overall numbers. The A’s always do a great job shifting their lineup to create the match ups they want, expect more of the same with platoons and late pinch hitting in 2015.

STARTING ROTATION

The starting rotation is an area where a lot of people say they A’s have question marks. This may be due to the fact that they lost Jon Lester and Jason Hammel to free agency and traded away Jeff Samardzija to the White Sox earlier this off season. However, the A’s held the best record in baseball for months in 2014 with a rotation featuring Sonny Gray, Scott Kazmir, Jesse Chavez, Drew Pomeranz and Tommy Milone. Four of those guys will be returning in 2015, with a slew of other young arms fighting for a spot in the rotation. Anyone from Chris Bassitt, Jesse Hahn, Sean Nolin or Kendall Graveman would be an upgrade or at worst an equal replacement of Milone. Let’s take a look at the numbers for the five players who started the most games for the Athletics last season VS the A’s projected rotation for next season using ERA, WHIP and WAR from the 2014 season:

2014 ERA WHIP WAR 2015 ERA WHIP WAR
Sonny Gray 3.08 1.19 3.3 Sonny Gray 3.08 1.19 3.3
Scott Kazmir 3.55 1.16 3.3 Scott Kazmir 3.55 1.16 3.3
Jesse Chavez 3.44 1.30 1.7 Jesse Hahn 2.96 1.13 0.8
Jeff Samardzija 2.99 1.07 4.1 Jesse Chavez 3.44 1.30 1.7
Tommy Milone 4.23 1.40 0.4 Drew Pomeranz 2.58 1.13 0.7

2014 AVG: ERA = 3.46 / WHIP = 1.22 / Avg WAR = 2.56

2015 AVG: ERA = 3.12 / WHIP = 1.18 / WAR = 1.96

Keep in mind that ERA and WHIP are better when they are lower and WAR is better if it is higher. While this list does not consist of Jon Lester, the A’s were at their best when they still had Chavez and Milone in their rotation. Also, it was a small sample size for Pomeranz, so we cannot expect numbers quite that solid again in 2015. However, with all that being said, the A’s, despite losing All-Stars, should not take more than a tiny step back in 2015. This rotation is still very solid and is in fact younger this year than last. Not only that, the A’s now have a lot more depth with three other pitchers not on this list that could fill a rotation spot, Chris Bassit, Sean Nolin and Kendall Graveman. Also, we cannot forget about the Tommy John rehabbers Jarrod Parker and AJ Griffin, who could make their way back into this rotation before the All-Star break. Both Parker and Griffin were huge contributors to the A’s success in both 2012 and 2013.

BULLPEN

There are a lot of similar faces coming back to the Athletics’ bullpen in 2015. So, instead of continuing with the format I’ve used for position players and the starting rotation I’m quickly going to compare Luke Gregerson and Tyler Clippard, the one main difference in the bullpen for 2015.

Player ERA / WHIP / WAR

Luke Gregerson 2.12 / 1.01 / 0.9

Tyler Clippard 2.18 / 1.00 / 1.5

These numbers are very similar, making Clippard a perfect replacement for Gregerson, taking over the 8th inning duties in front of incumbent closer Sean Doolittle. I don’t think many people expected the A’s to make a move to acquire another back end of the bullpen piece. Even after losing Gregerson, they seemed to have a very solid bullpen, but now it is even more solidified with a proven set-up man in Tyler Clippard. Another important thing to note about Clippard is his ability to create fly balls. His FB% in 2014 was 49.4% also, his IFFB% was 19.3% and that will likely increase mightily with him now pitching in Oakland. He is the perfect pitcher for the o.Co Coliseum. The A’s will pay Clippard more than they would have paid Escobar in 2015, but they are saving money in the long run due to the fact the Escobar is owed 14 million over the next two seasons and Clippard becomes a free agent after this season (in which he will make around 9 million).

Now let’s take a look at 12 potential options for the Athletics bullpen in 2015. Some of them are locks, but the others will either gain a spot due to the fact that they did not make it into the rotation or if they have a solid showing in spring training.

Name Team (2014) IP ERA WHIP WAR
Sean Doolittle Athletics 62.2 2.73 0.73 2.4
Tyler Clippard Nationals 70.1 2.18 1 1.5
Dan Otero Athletics 86.2 2.28 1.1 0.7
Chris Bassitt White Sox 29.2 3.94 1.58 0.7
Fernando Abad Athletics 57.1 1.57 0.85 0.6
Ryan Cook Athletics 50 3.42 1.08 0.3
Eury De la Rosa Diamondbacks 36.2 2.95 1.39 0.2
R.J. Alvarez Padres 8 1.13 1 0
Kendall Graveman Blue Jays (AAA) 38.1 1.88 1.02 N/A
Sean Nolin Blue Jays (AAA) 87.1 3.5 1.25 N/A
Eric O’Flaherty Athletics 20 2.25 0.95 -0.1
Evan Scribner Athletics 11.2 4.63 0.94 -0.2

There are a lot of very solid options for the A’s bullpen in 2015. I’d expect to see, Doolittle, Clippard, O’Flaherty, Cook, Otero and Abad for sure, but I expect all of these guys to make an impact at some point, if not this season then in 2016.

TAKEAWAY

The Athletics have a very deep pitching staff. With Sonny Gray and Scott Kazmir headlining the rotation, they have a plethora of options to fill the remaining three spots. Pomeranz, Hahn and Chavez look to be the leading candidates, although Billy Beane himself has mentioned Kendall Graveman as someone he sees making the rotation out of spring training. The A’s also have a very strong bullpen, especially after the recent acquisition of All-Star set-up man Tyler Clippard. After losing Josh Donaldson, Brandon Moss, Yoenis Cespedes and Derek Norris (four All-Stars), the A’s lineup for 2015, according to wRC+ actually got better. It’s not always the big name All-Stars that make a team successful. Oakland has proven this many times in the past, most recently in 2012, right after an offseason makeover similar to this year’s. The one piece that has remained since before the 2012 makeover and after this 2015 makeover, is Coco Crisp. There cannot be enough said about the value of Crisp to the A’s organization. With Crisp healthy in CF and the newly acquired pieces filling in around him, I expect the A’s to be back competing for another American League West division title in 2015.


Josh Donaldson: Changes in Approach and Mechanics

A short note: For those inclined only to GIFery, you can skip to the bottom.

The 2014 Oakland Athletics got taken out in the soul-crushing Russian roulette that was the Wild Card play-in game. The Billy Beane gambles didn’t pay off. On top of that, even though it rained on their parade, the San Francisco Giants won the World Series.

All is not lost for the A’s, however.

There are other great articles that go over the outlook for next year’s Athletics team in terms of payroll and contracts. Today, we’re going to squarely focus on the on-field performance of only one of those pieces – someone who has evolved into one of the best overall position players in the game.

Let’s dive into Josh Donaldson’s trends in the offensive arena, and attempt to find meaning in those trends for his performance in 2015 and beyond.

Josh Donaldson figured it out in the summer of 2012: after struggling through most of the early part of that year, he was sent down to AAA in mid-June, getting the call back up to the majors on August 14th. He batted .290/.356/.489 the rest of the way with 19 extra base hits, led the A’s to an unlikely division championship, and gave us a snapshot of the player we now expect him to be.

At his best, Donaldson is a middle of the order power bat that can hit to all fields and draws walks at an above average clip. Whether coincidentally or not, his overall plate approach fits that of the A’s organization: work into deep counts, get a good pitch to drive, and swing hard. He’s shown some subtle differences in rate statistics during the two highly successful years since his breakout, and that’s what we’re mainly going to look at before moving on to a discussion about his specific hitting mechanics.

One of the main differences between Donaldson’s 2013 and 2014 was his batted ball profile in regard to line drives and fly balls. At surface level, the continued evolution of Donaldson’s batted ball profile since his breakout in August of 2012 mirrors the Athletics’ high OBP/home run tendencies. As we’ll see later on with the mechanics portion of the article, there’s more here than meets the eye. However, to begin with, let’s look at his line drive and flyball tendencies.

Here we have Line Drives per Ball In Play for Donaldson in 2013 and 2014:

LDs_per_BIP

And here we have a breakdown of his Fly Balls per Ball In Play:

Flyballs_per_BIP

It’s not too difficult to tell what’s happened during the majority of Donaldson’s effectiveness at the major league level: he’s hit more fly balls and less line drives against fastballs over time. The obvious answer to why this has happened is that Donaldson could simply have changed his approach to try to elevate hard pitches for homeruns in 2014. His overall line drive rate fell along with his batting average and Batting Average on Balls In Play in 2014 as well, as fly balls don’t always (or even usually) go for homeruns, and also result in outs more often than line drives. Donaldson’s groundball rate stayed almost exactly the same between the two years.

His counting stats reflect this change in batted ball profile, as he shifted a few 2013 doubles to home runs in 2014. Let’s compare his stats from the past two years. Donaldson played in the same number of games in each of the past two years, with a few more plate appearances in 2014:

2013_2014_Compare

There isn’t a major difference in his strikeout and walk rates – strikeout rates are up for almost everyone, so proclaiming Donaldson’s slight increase a true trend has its problems. As we’ve seen, the strikezone expanded this year by a large degree, something that wasn’t lost on the All Star third baseman.

Another element in this comparison that we should keep in mind is the damage on his statistics wrought by his slump of over a month in June of 2014. It was one of the worst months of Donaldson’s career, as he hit .181 with a 4.5% walk rate, 6.0% line drive rate, and hit grounders 65.1% of the time (as a reminder, league average is around 44%). He would overcompensate his swing in July, causing a 52% flyball rate (league avg. = 36%), but his walks and power production came back to almost normal levels. As it is, we’re left to wonder what his 2014 could have looked like if not for the extended slump.

Given the changes in batted ball profile and rate statistics between 2013 and 2014, we need to go deeper into causation. Did Donaldson simply change his approach to hit more fly balls? Was this an unintended result of a change in his mechanics?

Let’s find out.

To help me with the technical specifics of Donaldson’s swing, I’ve brought in Jerry Brewer, a great hitting instructor and general swing mechanics wizard from the Bay Area. He runs East Bay Hitting Instruction, and posts great in-depth breakdowns of swing mechanics over at Athletics Nation. We talked about a few different topics on Donaldson’s swing over the past week.

Owen Watson: Hey Jerry! Thanks for lending your expertise to this – I’m a relative newcomer to the world of swing mechanics and it’s always great to talk to someone who really knows the subject. Can you briefly explain the basic mechanics of hitting, so we can get a baseline understanding of the subject?

Jerry Brewer: The goal of the swing is to put the bat behind the ball with speed on the bat. Pretty simple. Elements of a “good” swing include proper body position, movement sequencing, timing, consistency, and execution. These are the main things I look for when grading someone’s swing:

1) Swing time: how long it takes a player to start their swing to contact with the ball.

2) Swing path: the path the bat travels to meet the ball.

3) Finally, I look for body position as the hitter is completing the stride, which is where you can get a sense of whether the player can make adjustments to pitch location and speed. Donaldson is fantastic here.

OW: Great, so what are the main characteristics of Donaldson’s swing – how is he different from other hitters, and what does he do well/not so well?

JB: Donaldson’s swing in a word: athletic. The baseball swing is just a sequence of movements, and he moves his body optimally. What he does well: his front side mechanics. His rear mechanics are really good too, but his front side is incredible. In my opinion, it is what allows him to be such an all-fields hitter. The one knock could be his path to the ball is an inch or two long. But, to quote myself, “that’s like pointing out a scratched license plate on a Ferrari.”

OW: Donaldson is in many ways a classic poster boy for the A’s patience/power combo. Is his power increase from 2013 to 2014 a result of the coaching of the A’s offensive approach under (former) hitting coach Chili Davis?

JB: It’s hard to say how much influence Davis had on Donaldson’s approach. My guess is very little. Donaldson was a high walk/high power guy in the minors and it just took some time to gel in the show. I am of the mindset that a person’s approach is pretty ingrained and hard to coach. As for the power, Donaldson came into spring training in 2014 with a pretty pronounced bat tip (how far forward the bat head is brought during swing loading) toward the opposing dugout. Think of it like a bigger backswing. That told me right then that he was going for more power.

OW: How do we explain the increase in flyball rate, then? When I look at the jump in his flyball tendency in 2014 as opposed to 2013, one explanation is that it was an intentional attempt to try to elevate the ball for more power.

JB: The flyball tendency is a little difficult to explain on swing mechanics alone. For example, he got the bat tip completely out of control in June and still hit only 30% flyballs. My best guess is that the excessive bat tip caused him to be just a hair late on fastballs, sending more balls in the air. We saw this in his opposite field hitting: in 2013 his flyball rate to the opposite field was 52%, but in 2014 it went up to 62%.

I didn’t see a change in loft in his swing in 2014, it’s just a little more difficult to put the bat on the ball consistently with the aggressive bat tip. When he did hit the ball well, it travelled, as his HR/FB was way higher in the first half when he was tipping, but he had more mishits than in 2013.

Basically, Donaldson went Javier Baez for awhile.

OW: When I watch him, he seems like he has an entrenched timing mechanism with the leg kick. How does that function in his mechanics? I’ve always wondered whether it could be a cause for slumps if it gets mistimed.

JB: The leg kick is really secondary. The more important thing is Donaldson now has a lot more of a slower, longer movement with the bat before launching the swing. Most guys who do this (Ortiz, Bautista, Hanley Ramirez) go to a leg kick so the lower body is doing something while the upper body is doing something. I call this matching. On the other end of the spectrum are guys who don’t do much with the bat pre-launch, so their lower bodies are more quiet (Tulo, Utley, Brandon Moss). The positives of the bigger movements are that it can allow the player to get to the position they need. Stride type is really personal based on approach, habits, and anatomy.

Looking at Donaldson’s pre-leg lift swings, the high leg kick gives him time to open his front leg more, which is something he talked to me about. The negatives of the leg kick are that it simply may not be the right fit for a player based on the above factors. It takes some serious athleticism to be consistent with a swing like that.

OW: Let’s talk about that consistency. I’ve been wondering about the big slump he had in June when he hit .181 with just four extra base hits over the entire month, carrying the slump well into July. What happened to cause that?

JB: Mechanics wise, I think the excessive bat tip caught up with him, either from the grind of the season or taking a couple pitches off the hands/forearms in June and July. In late July he quieted down the bat tip and started rolling. If he goes back to the excessive bat tip, then yeah, he could fall into a slump. I think and hope that he’s got that figured out.

OW: What do you see as his ceiling, then? If he figures out the bat tipping and can cut down on extended slumps, where will that put him?

JB: It’s very high. The batting average is the big question. We were a little spoiled in 2013 when he hit .301. That was propped up by a ridiculous .448 average on balls hit the other way…

OW: Right, and a Batting Average on Balls In Play of .333.

JB: That is and was completely unsustainable. But I think he fits in somewhere between .300 and last year’s .255 in regard to the average. Last year he kind of got robbed on some hard hit balls, when he hit 131 of them and his average on those balls in play was 54 points under the league norm. Some of that is the Coliseum being a pitcher’s park, obviously. Also, he got rung up 10 more times on looking strike threes in 2014 than in 2013, so that could be an area of improvement. I would probably say his ceiling is around .277 with 27 HRs.

OW: Not bad for a third baseman with that kind of defensive prowess, too. Thanks a lot for your time, Jerry! This has been really informative. Here’s to spring training…

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After the discussion with Jerry, it became apparent that Donaldson’s change in mechanics toward a more aggressive bat tip could be a big reason behind the differences in batted ball profile between 2013 and 2014. I decided to look at some instances of tape over the past two years to see when he was going with a more controlled approach as opposed to a more aggressive one. While 2013 showed a very consistent approach throughout the entire year, 2014 didn’t have as much of a set pattern as I once thought. Let’s investigate.

Here we have Donaldson’s mechanics during almost all of 2013 – at the point of swing loading (just before the stride starts toward the pitcher when the balance of weight is on the back foot), Donaldson’s bat is almost perpendicular to the ground, and his stride forward is consistent and low. Here he is hitting an inside-out double to right center in mid-September of 2013:

091313_Controlled

Bat tipping is minimal here, allowing Donaldson to stay short enough from swing loading to contact to hit a 94 MPH fastball on the inside part of the plate into the right centerfield gap. Now let’s look at a swing from almost exactly a year later, in mid-August of 2014:

081214_Aggressive

Watching it a few times, it’s clear this is a highly aggressive swing. The leg kick is slightly higher than it was in 2013, and the bat movement is noticeably different. Instead of being almost perpendicular to the ground, the bat points strongly toward the opposing dugout at swing loading, whipping around to generate as much power as possible. One reason this swing could be so aggressive is that Bruce Chen was on the mound, and Donaldson could gear up on a slow fastball in a 1-0 count. Instead, he got an 83 MPH slider that didn’t slide, and stayed back on it enough to hit it 425 feet over the centerfield fence.

Looking at tape of early July 2014 following the terrible slump, it’s apparent that Donaldson all but ditched the aggressive bat tip, probably in order to make more consistent contact. Yet, with the example above during August, it was back in a major way.

This begs the question: is the aggressive bat tipping something that Donaldson turns on situationally, such as a 3-1 count? Or is this just noise, and part of the tweaking and maturation process that a relatively new major leaguer goes through?

The answer to that question may be for another time, but a cursory examination may support the situational hypothesis. Looking back through a few examples, the bat tip does change from situation to situation in a short span of time. Just three days before the hyper-aggressive swing against Bruce Chen, Donaldson showed almost no bat tipping on an RBI single with two out and the bases loaded versus the Twins. In mid-July, three weeks earlier than that, he showed very aggressive tipping on a three run walkoff home run against the Orioles. This could certainly be random, or noise, or something he doesn’t know he’s doing.

Or maybe, as Jerry says, Donaldson just wants to go a little Javier Baez sometimes.

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Special thanks to Jerry Brewer, who can be found at East Bay Hitting Instruction and on Twitter @JerryBrewerEBHI. All graphs are Brooks Baseball.


Bringing Bill James’ Famous Arbitration Case to 2014

“I helped prepare arbitration cases for George three straight years in the 1980’s… George had led the American League in errors the first year that we prepared a case for him. We were wondering what to do about that, so I drew up an exhibit entitled ‘What Was the Cost of George Bell’s Errors?’ The exhibit showed that while Bell had led the league in errors with 11, none of the errors had actually cost his team anything. Of the 11 errors, only about three led to unearned runs, all had occurred in games which Toronto had won anyway, and in those three games, Bell had driven in something like seven runs.”

Bill James, The New Bill James Historical Abstract

 

The case that Bill James made for George Bell in 1985, and later informed his readers about when he released his Historical Abstract, always fascinated me. As someone who is a big believer that fielding metrics have a long way to go (especially behind the plate), this arbitration case was my Zihuatanejo, that far away place that always gave me hope that errors were really as pointless a statistic as they seemed.

However, as Bill James points out in the rest of George Bell’s player ranking, the fact that nothing came of Bell’s errors in 1985 (his first arbitration year), as well as 1986 and 1987, when James used the same exhibit, was rather noteworthy. Although errors are definitely not the be all and end all of fielding statistics, one would have to imagine that some ill had to come of them, at some point, right?

With the All-Star break upon us, and sadly no real baseball for the last four days, the chance to finally look into this idea of how much errors actually cost the erring player’s team, presented itself. At the halfway point, there were exactly 20 players who had committed 10 or more errors in 2014. Since there was time to kill without baseball on, I decided to pour over some box scores and figure out just how much each of those leading “error-men” had cost their teams. Using baseball-references fielding game logs, it was easy to find the games in which each player had made their errors, and then going through the play-by-play made it (usually) straightforward as to whether their error led to a run or not.

For this study, I created a chart with columns for all of the parts mentioned in Bill James arbitration case: total errors, unearned runs as a result of those errors, games that the team lost when that player committed an error, and RBI in those games that were lost. The final column (RBI in games lost) was tweaked a tiny bit due to the inclusion of one other column. The column added was one called “true losses.” This was the measure of how many games the team lost by equal to, or fewer runs, than the player’s error cost the team. For example, if Pedro Alvarez made an error that cost his team three runs, and the Pirates lost 4-3, that would be a true loss. Or, if Derek Dietrich made an error that cost his team one run, and the Marlins lost 3-2, that would also be a true loss. Finally, if the game went to extra innings and was a loss, any error worth one run or more was counted as a true loss. Therefore, if Josh Donaldson committed an error which cost his team only one run and then the A’s lost 10-8, but that final came in extra innings, then that would still count as a true loss because the extra innings would have never occurred (hypothetically).

Now this is obviously not a foolproof study. There is no way to say for sure that the error committed for one run was any more the cause of the loss than the pitcher who gave up the home run the next inning. It is also starting to get into a bit of a messy “Butterfly Effect” situation, meaning that there is no way of knowing how the rest of the game (or our lives, bro) would be different if Jose Reyes hadn’t booted that grounder in the fifth inning.

However, it was a fun study to put together, and it can be revealing into how little (or in poor Starlin Castro’s case, how much) errors truly change a game. Here’s the official chart:

What Was the Cost of Player X’s Errors?

Name Errors UER from E Team L’s True L’s RBI in True L’s
Pedro Alvarez 3B 20 11 11 4 4
Josh Donaldson 3B 15 6 5 1 0
Ian Desmond SS 15 10 8 2 2
Asdrubal Cabrera SS 14 12 9 1 0
Jose Reyes SS 13 7 9 2 0
Brandon Crawford SS 13 6 5 0 0
Lonnie Chisenhall 3B 13 6 5 0 0
Everth Cabrera SS 13 7 6 0 0
Brad Miller SS 13 7 5 1 0
Martin Prado 3B 12 13 8 2 2
Jonathan Villar SS 12 14 8 0 0
David Wright 3B 11 5 4 1 0
Starlin Castro SS 11 12 6 5 0
Jean Segura SS 11 8 1 0 0
Elvis Andrus SS 11 7 8 0 0
Yan Gomes C 11 4 6 0 0
Chris Owings SS 11 8 7 2 1
Derek Dietrich 2B 11 6 5 1 0
Jarrod Saltalamacchia C 10 5 7 1 0
Hanley Ramirez SS 10 7 7 1 0

Key: UER from E – unearned runs from errors; Team L’s – team losses; True L’s – true losses (described above); RBI in True L’s – how many RBIs the player had in said True Loss games

 

Let’s tackle this table column by column.

Well, I don’t think a historiography of each player’s name is necessary in today’s article, so let’s skip over to the position column. It is interesting to note how many left-side of the infield players there are atop the error leaderboard. There’s nobody from the outfield to be found (the “top” outfielder per errors is Sports Illustrated cover boy, George Springer with seven), and there are only three players that don’t hail from third base or short stop as their main position. One branch off of this study that could be interesting would be to look at whether or not there was a correlation between a player’s position on the diamond, and how frequently an error led to runs or “true losses.” My gut instinct would be to guess no, but maybe errors in the outfield are often for more bases, and therefore more likely to lead to a run – just a hypothesis.

Jumping over to the errors column, Alvarez’s 20 errors stood out, as the difference between his total and the second place total is the same as the difference between second place total and the bottom of our table. In fact, seeing that high total made me curious as to just how many errors it would take to get into the record books. Well, if you’re including the entire history of baseball, the answer is: like a bajillion. Obviously the game was entirely different, but it’s hard to imagine that Herman Long’s 122 errors in 1889 weren’t embarrassing even back then. The record for errors in a single season since 1952 is 44 by Robin Yount in 1975, and the record since 1980 is Jose Offerman with 42 in 1992. So while Alvarez’s 20 errors may be pacing the league by a good margin now, it’s fair to say he won’t be joining even the modern record books this season.

The next column looks at unearned runs derived from each player’s errors, and the variance is quite extreme. With a range from only four runs (it’s interesting to note that the catchers have the two lowest unearned runs tallies, maybe that positional study would provide some analysis after all) all the way up to 14, there doesn’t seem to be too close of a connection between the amount of errors and the amount of unearned runs. For instance, Josh Donaldson has committed three more errors than Jonathan Villar in 2014, but Villar’s errors have led to eight more runs. This brings up the question of whether unearned run prevention is simply luck, or whether some teams (and pitchers) respond better after an error is committed in the field.

The A’s are one of baseball’s best teams, and have an excellent pitching staff, so it isn’t too surprising that Donaldson’s unearned runs are among the lowest, especially in comparison to how many errors he has committed. On the other end of the spectrum are players like Altuve and Castro who play on rebuilding teams, and it is unsurprising to see their names next to some of the highest unearned run totals. However, there is most certainly a lot to be said for luck playing a role in how many unearned runs come along after an error. For example, teammates Asdrubal Cabrera and Lonnie Chisenhall find themselves on opposite ends of the spectrum in terms of unearned runs after errors, a definite sign of the role random chance plays in unearned run prevention.

One other note on the extreme variance in unearned runs tied to errors. The variance could also come as the result of what kind of error was made. A bobbled ball that never even gets thrown across the infield does only one base of harm; whereas, an overthrow (many of Alvarez’s errors) may lead to two bases of harm. One could also try to really dig deep into this data and see if younger, more inexperienced players were more likely to commit errors late in games, when the pressure was ratcheted up, and maybe those errors were more likely to be costly. However, with this study, the idea is simply to get a feel for another way of looking at errors, and the main point that remains here is that there is a lot of luck to whether a player’s error costs his team a run or not.

There isn’t a whole lot to be said about the team losses column, as committing an error does indeed swing the pendulum (or WPA chart) towards a loss, but so minimally that it wouldn’t even bother one of Poe’s victims. For instance, implying that Jean Segura (only one team loss in games he committed an error) timed his errors better than Elvis Andrus (eight team losses in games he committed an error) is really just saying that the Brewers are better than the Rangers; which they are, but that doesn’t reflect on the individual player at all. That comparison is especially interesting given that Andrus’ errors have actually led to fewer unearned runs than Segura’s.

The next column, the “true losses” column, is where the fallacy of the error as a statistic truly shows its colors. The only players who cost their teams more than two wins in the first half (with teams having played well over 90 games in 2014, so far) were the league leader, Alvarez, and the incredibly unlucky Starlin Castro. Castro’s case could be an entire article itself, and the poor timing of his errors is remarkable. The fact that the Cubs have only lost six games in which he has committed an error, and five of those can be considered “true losses” is very much a statistical anomaly. Consider that in this chart there are 124 team losses outside of Castro’s Cubs. Of those 124 losses, 19 were true losses, or just over 15 percent. In Castro’s case, over 83 percent of his team losses were true losses, such a far outlier it warrants special attention.

Even when including Castro’s remarkable true loss numbers, the percent of losses that could be considered, even hypothetically, the erring player’s fault is merely 18.5 percent, and that’s not even accounting for all the games that the team’s still won in which one of  the listed player’s committed an error. This is a good time to point out that this study obviously does not take into account any of the good, run-saving plays that these fielders make, and even still the total impact on a team is minimal. As seen in Pedro Alvarez’s row, he drove in plenty of runs in those games in which he cost his team, and with his strong range, some of those errors he made likely would have been singles, with the majority of third baseman failing to even get to the ball. Josh Donaldson and David Wright stand out as particularly strong cases of top-notch fielders who, because of their strong range, get to more groundballs, but get to them in difficult positions, thus increasing the likelihood of an error.

All of this being said, let’s not take too much away from the potential impact of an error. It is indeed a mistake, and can have a negative impact on the team in ways more than just the scoreboard. For instance, for every error made, that is an extra batter that the pitcher has to face, and therefore, more pitches on his final pitch count. If the bases were clear before the error, the pitcher has to pitch out of the stretch now, and the threat of a potential steal is in play. If a certain player is prone to errors, it may also lead to his pitcher not having confidence in his defense behind him, and therefore getting himself in trouble by trying to do too much on the mound. Other fielders may feel that they have to cheat in the commonly erring fielder’s direction if there is likely to be a mistake made, which can mess up a team’s defensive positioning. Finally, there’s the fact that for all of us here at FanGraphs who realize the harm in relying on errors too much as a statistic, there are still those in baseball who do rely on it, and committing enough errors in the field, may lead to a player riding the pine for a few days.

In the end, it’s fair to say that errors are one metric out of many. They have historically been overused, and hopefully the chart above, has made it clear that frequently an error won’t really cost the team anything.

And if your error did cost your team, well, you’re probably Starlin Castro.