Archive for Player Analysis

Pitches Seen: Baseball’s Boring Inefficiency

I think I might be the biggest fan of the world of the Ten-Pitch Walk.  I don’t know why, but I get overly excited when I see a player really battle for a long time, against everything the pitcher has, only to win the battle through patience.  Perhaps it’s because it’s so contrary to the spirit of what’s actually exciting about baseball; seeing players run around and field a batted ball.  It’s wholly a battle of attrition.  It’s the baseball equivalent of watching somebody run a marathon; you may not think the act itself is exciting, but it’s certainly an impressive feat in a vacuum.

So this has also lead to a fascination with pitches seen per plate appearance.  I’ve long wondered if certain teams place an emphasis on teaching their players to see more pitches per plate appearance.  It seems fairly self-evident that seeing more pitches is, in a microcosm, better than seeing fewer pitches.  You tire the pitcher out quicker, you see more data for your next at-bat to work with, and you give your team a chance to see what the pitcher has, and how he’ll react in different situations.  I hypothesized, purely based on colloquial wisdom, that the A’s would be good at this and the Blue Jays would be bad at this.  That’s not to say that one approach is better than the other, but just that some teams seem more patient than others.

Fortunately, FanGraphs has data available per hitter as to how many pitches they see.  I pulled that data out and found out each player’s average pitch per at bat since the year 2003 (the earliest we have this data, from what I can tell) and restricted the findings to active players only.  Then I ran some regressions to see if there was any correlation between pitches per at bat and useful batting stats.  Here’s what I found:

We see a slightly positive correlation between P/PA and wOBA.  It’s not really anything to write home about, but it’s more than negative.  It doesn’t seem immediately that seeing more pitches relates heavily to overall performance at the plate.  What about on base percentage?

Slightly better here, but still not great.  Seeing more pitches does have a little more correlation to getting on base, but there are plenty of aggressive swingers that don’t follow that model, so it means the correlation is loose at best.  What if we talk just about taking walks?

Here we have a real correlation.  .59 is a fairly strong correlation, and that makes sense.  The more pitches you see, the more likely you are to take a walk.  If you can successfully foul off anything in the strike zone, you will eventually walk (or the pitcher will die of exhaustion, either way, you win).  This is reasonably useful.  If you’re trying to find a way to make your team walk more, maybe you can invest in some players that see more pitches per plate appearance than normal.  This strong of a correlation makes me think about strikeout percentage too, though, because every pitch you foul off makes you closer (or just one whiff away) from striking out.

There is a positive correlation here, but not nearly as strong as between BB% and P/PA.  It’s stronger than the other useful stats like wOBA, but it’s interesting to know that seeing more pitches relates much more strongly to taking a walk than it is to striking out, at least on a grand scale.  There is some research to be done here to see what the odds are of a plate appearance as the pitch count increases, but I’ll leave that for another day.  My next thought was to see if there are, in fact, any teams that are better at this than other teams.  Here’s what we’ve got on a team level:

1 Red Sox 4.0506764011
2 Twins 4.0396551724
3 Cubs 3.9222196952
4 Yankees 3.9142662735
5 Pirates 3.9037861915
6 Astros 3.9028792437
7 Padres 3.9021177686
8 Mets 3.9009743938
9 Marlins 3.8916836619
10 Indians 3.8914762742
11 Athletics 3.8899398108
12 Phillies 3.8839715662
13 Blue Jays 3.8685393258
14 Cardinals 3.8634547591
15 Rays 3.8511224058
16 Rangers 3.8489497286
17 Dodgers 3.8480325645
18 Tigers 3.8314217702
19 Angels 3.8280856423
20 Diamondbacks 3.8161904762
21 Nationals 3.8146927243
22 White Sox 3.811023622
23 Giants 3.8038379531
24 Reds 3.8015854512
25 Orioles 3.8014611087
26 Braves 3.7944609751
27 Mariners 3.7358235824
28 Royals 3.7310519063
29 Rockies 3.7244254169
30 Brewers 3.6745739291

Well, my original hypotheses were not great ones.  The A’s and the Blue Jays, at 11 and 13, are both decidedly middle of the road teams.  I find it most fun in times like this to look at the extremes; in this case, the Red Sox and the Brewers.  The difference in pitches seen per plate appearance between these two teams is 0.38.  That may seem small, but it adds up.  If we assume the average pitcher faces 4 batters per inning, that’s an additional 1.5 pitches per inning, and 9 pitches by the end of the sixth, just purely by the nature of the hitters.  In a tightly contested contest, that may mean the difference between getting to the bullpen in the 7th rather than the 8th, or even the 7th rather than the 6th.

It should be noted that I limited this data set to 2014 (in contrast to the earlier data which was 2003 onwards) just so we could get a realistic look at roster construction, and to see if any teams are, right now, putting any particular emphasis in this area. The BoSox are carried by the very patient eye of Mike Napoli (4.51 P/PA), but hurt by the rather hacky eye of AJ Pierzynski (3.42 P/PA). Even on one team, that’s more than a pitch per plate appearance, which is pretty startling. The Brewers don’t have nearly the same difference; their best is Mark Reynolds with 4.04 P/PA and their worst is Jean Segura with 3.42 P/PA. As an aside, Chone Figgins is by far the best in this with a whopping 4.99 P/PA, though it was in just 76 PA. Kevin Frandsen brings up the rear with 3.16 P/PA in 189 PA. A lineup of all Mike Napoli’s would see 24.3 more pitches than a lineup of Kevin Frandsens before the leadoff Napoli even comes up a third time. I would feel bad for that pitcher.

The talk about teams possibly emphasizing this data made me wonder if I could make a huge difference if I compiled a team solely to do this; just make sure the pitchers throw a ton of pitches.  With that, I present to you the 2014 All-Stars and Not-So-All-Stars in this area, with a PA minimum thrown in to eliminate Figgins-like outliers:

All-Stars P/PA wOBA
C A.J. Ellis 4.344444444 0.311
1B Mike Napoli 4.353585112 0.371
2B Matt Carpenter 4.20647526 0.362
3B Mark Reynolds 4.179741578 0.341
SS Nick Punto 4.033495408 0.293
LF Brett Gardner 4.305959302 0.332
CF Mike Trout 4.219285365 0.404
RF Jayson Werth 4.399714635 0.364
DH Carlos Santana 4.297962322 0.356

 

Not-So-All-Stars P/PA wOBA
C A.J. Pierzynski 3.33404535 0.32
1B Yonder Alonso 3.603264727 0.318
2B Jose Altuve 3.266379723 0.321
3B Kevin Frandsen 3.41781874 0.296
SS Erick Aybar 3.415445741 0.308
LF Delmon Young 3.450895017 0.321
CF Carlos Gomez 3.517879162 0.321
RF Ben Revere 3.544046983 0.296
DH Salvador Perez 3.366071429 0.331

Despite the fact that there isn’t a strong correlation between wOBA and P/PA directly, it’s worth noting that the P/PA All-Stars are significantly better than the Not-So-All-Stars. Their difference in wOBA is .328 as compared to .314. The Not-So-All-Stars certainly present a fine lineup though; the All-Stars just have the benefit of having Mike Trout in their lineup. It’s nice to know that this is one other area that Mike Trout simply is amazing at, confirming the obvious. The All-Stars have a collective P/PA of 4.26, while their counterparts sit down at 3.43. That’s .83 pitches per plate appearance, which over the course of two turns through the lineup is 14.94 pitches; that’s definitely something notable.

So, it appears this is a demonstrable skill with some value, though not a ton. We can see that some teams are better at this than others, and we see some positive benefit from this, most notably in walk rate. While we see plenty of players on both sides of the scale who are excellent ballplayers, the data does seem to suggest that seeing more pitches is better than not doing so, though only marginally on a league wide scale. When we isolate leaders in this area vs. those more aggressive, we can see some startling differences though, suggesting that perhaps there is an advantage to be gained here.


Ben Revere and the Emptiest Batting Average Ever

I was listening to the Jonah Keri Podcast on Grantland recently, and he had Phillies beat writer Matt Gelb on the show. Gelb talked about all the sad things that Phillies fans are already tired of discussing, but he did make a statement that I found particularly poignant. He described Ben Revere’s season as something to the effect of “the emptiest batting average ever.” By empty, he means that while Revere is hitting above .300, an impressive feat in this offense-starved MLB landscape, he does so with almost no walks or extra-base hits. His value at the plate is almost entirely in the form of singles. This comment got me thinking: just how empty is his batting average?

As of this writing, Revere is hitting .314 with a .331 on-base percentage and a .371 slugging percentage. For comparison, the average player has a substantially worse batting average (think .240) but with a similar OBP and a substantially better SLG. To illustrate with normal stats, Revere has 27 total doubles, triples, homers, and walks this year. So far in 2014, there are 42 players with at least 27 doubles, 8 players with at least 27 homers, and 144 players with at least 27 walks.

But how rare is it to have this single-happy nature with such a high average? To look for players to compare to Revere historically, I looked for other player seasons since 2000 which had enough plate appearances to qualify for the batting title with a batting average at least as high as Revere’s but a walk rate and isolated slugging (slugging minus batting average) below his.

But there weren’t any, so I extended the search back to 1980.

Still nobody. 1960?

Nothing.

1900?

Zilch.

Now, to be fair, Ben Revere himself hasn’t completed a full season, so let’s use a more relaxed criterion of 400 plate appearances (Revere has 459).

OK, you get it.

In fact, since 1900 (it’s not worth going earlier because seasons were much shorter then), the only player with at least 400 plate appearances that had as high of a batting average with as little other hitting value is … Ben Revere. That’s it.

I’m not really sure that there’s much to be done with this information, but it’s a pretty shocking finding. As a member of a roster that’s overpaid and underperforming across the board, Revere’s limited skillset has been overshadowed by his more compensated counterparts. However, I was fascinated to discover that on a team that has had plenty of notable failings, Revere has had perhaps the most “unique” and “special” stats of any of them, as long as you’re not taking annual salary into account.

If you disregard his sub-par defense (especially compared to what you would expect from a guy with his speed), Revere really isn’t a terrible offensive player. If you took away all of his steals and instead turned that many singles into doubles, he’d have a slugging percentage around the league average. The problem is, a single followed by a steal isn’t as valuable as a double because it doesn’t advance runners on base, so his value would really be something less than that of a player with league-average slugging. Even if he posts a batting average way above the mean in any given season, he never walks or gets extra-base hits, so he has to sustain that mark against all kinds of luck and defensive factors in order to give the Phillies even passable offensive value. It’s a game that the Phillies seem interested in playing, and it’s defensible because of his obviously high average and stolen base totals, but I’m just not sure if they’re going to win that way.


Time for Giants to Part Ways with Hector Sanchez

San Francisco Giants backup catcher Hector Sanchez is a ball magnet.

Every single time he plays — and this is no exaggeration — he takes a savage beating behind home plate. Foul tips rock his hockey-style catcher’s mask at least three or four times a game. He also takes baseballs to the shoulders, fingers, feet and groin like you would not believe.

So to no one’s surprise, Sanchez finds himself on the disabled list with a concussion. And the Giants are taking their time bringing him back, as the team is all too familiar with concussions caused by multiple blows to the head (Mike Matheny’s playing career came to a screeching halt because of multiple concussions sustained when he strapped on the tools of ignorance for San Francisco back in 2006).

While it may seem cruel to add insult to injury, now is the perfect time for the Giants to part ways with Sanchez.

The trouble is that Sanchez’s bat is a ball magnet, too — and not in the good, solid contact kind of way. He simply can’t stop swinging at pitches in or out of the strike zone.

Simply put, Sanchez is not a good baseball player, while his replacement, Andrew Susac, is.

Sanchez has been one of the worst players in MLB this season. Take a look at how he’s fared in some key statistical categories, along with how those stats rank among fellow National Leaguers with a minimum of 170 plate appearances:

OBP K% wOBA wRC+ O-Swing % Swing %
.237 (2nd-worst) 31.1% (6th-worst) .237 (2nd-worst) 52 (4th-worst) 47.1% (2nd-highest) 63.0% (highest)

This chart essentially shows that Giants fans have selected an appropriate nickname for Sanchez. They call him “Hack-tor”.

Susac, on the other hand, is known for his plate discipline. He’s never had a BB% lower than 12.9% in four minor league seasons (Sanchez’s career BB% is 4.0%). Susac’s slash line for AAA-Fresno this season was .268/.379/.451. Hopefully he never goes back.

In 26 plate appearances for the Giants this season, Susac has a .250 average and a .308 OBP. He’s swung at just 22% of pitches outside of the strike zone (compared to 47.1% for Sanchez) and he’s struck out only 19% of the time (31% for Sanchez). Perhaps most importantly, Susac has already been worth 0.1 WAR, meaning he’s added value to the team even though he’s played in only parts of 10 baseball games. Comparatively, Sanchez has been worth -0.2 WAR in 66 games, meaning that even an average minor league replacement player would have been more valuable.

And Susac is an average replacement-level catcher at worst. In fact, it’s hard to argue that he is that bad. So there’s essentially no question that Susac is superior to Sanchez.

In a baseball era where it is increasingly accepted and known that getting on base — not making outs — is the most important baseball skill, Sanchez has proven himself to be a free-swinging out machine.

That’s why the era of Susac ought to be upon us. What’s more, backup catcher is an especially interesting position on this Giants team.

There is increasing sentiment within the organization that Buster Posey needs to be moved out from behind the dish. He’s arguably their most valuable offensive player, but as a catcher, he requires frequent days off, and the physical demands of catching already seem to be wearing Posey down.

Offensive skills deteriorate faster for catchers than for non-catchers, so as Posey ages and navigates the seven remaining years of his 9-year, $163 million contract, the Giants are absolutely right to seriously consider moving Posey to a less demanding and offensively-crippling position.

Third baseman Pablo Sandoval will be a free agent after this season, and if he walks away, it will create a glaring hole at third base — a hole that could be filled by Posey. Posey played all over the diamond in college, including shortstop and pitcher, so it’s at least possible that he could man the hot corner next year and beyond. If Posey moves to third base, Brandon Belt could stay at first and Susac could settle in as the everyday catcher.

But if the Giants re-sign Sandoval, there could be a logjam if the Giants indeed have intentions of getting Posey out of the squat.

Belt has good speed (he has 23 steals in 409 MLB games and he’s only 26 years old), so it’s possible he could play a decent left field, allowing Posey to play first base and Sandoval to stay at third. This is not ideal, and I understand that it’s possible Belt will not be a good defensive outfielder (but hey, he can’t be worse than Michael Morse, can he?).

Even if Posey remains behind the plate, he gets a lot of rest (as most catchers do), so it’s important to have a good backup catcher if at all possible. That’s why it’s time for the offensively skilled Susac to leapfrog the offensively challenged Sanchez on the organizational depth chart.

Sorry Sanchez, but Susac is the catcher of the future. It’s time to let him play.


On Chris Davis and How He Isn’t Hitting Very Well

A fair amount has been written about both Chris Davis of the Baltimore Orioles and his season. Put simply, Davis has been a train wreck combined with a tire fire. He was the third-best hitter in all of baseball last year, which is shocking for me to even write considering how bad he is right now. This is just a snapshot of his numbers between 2013 and 2014.

__ Batting Avg. On-base % ISO BABIP wOBA wRC+
2013 0.286 0.370 0.348 0.336 0.421 168
2014 0.191 0.296 0.202 0.241 0.302 89

So everything is worse, which — not surprisingly — leads to a worse season. While he’s still hitting for great power, it’s nothing close to what he was hitting in 2013. It would be pretty easy to look at his BABIP, which often is an indicator of how lucky a hitter is, and say Davis has just been tremendously unlucky this year, and was super lucky last year.

And you wouldn’t be wrong, necessarily. He has been unlucky this year. But his career BABIP is .323, which isn’t too far off from the .336 he posted last year. So I guess a positive here is that if the season were, I don’t know, 250 games instead of 162, Davis would probably stop being so unlucky and get closer to normal. Unfortunately it’s not 250 games, so he might not turn it around so quickly.

When hitters have a major breakout year like Davis did in 2013, it maybe shouldn’t be too surprising if they drop back a little in the following season. It often is a surprise, but pitchers scout those hitters a little harder, coaching staffs focus on them more, and so on and so on. So naturally, if a pitcher realizes a hitter totally crushes sliders and fastballs, that pitcher — if he’s not a dummy — will likely throw fewer sliders and fastballs, or at least fewer of those that are hittable.

Using pitch values from FanGraphs, we can see that, last season, Davis was that guy who crushed fastballs and sliders (and changeups, too).

Pitch Values Fastballs Sliders Cutters Curveballs Changeups
2013 1.7 3.4 1.98 0.94 5.71
2014 0.98 0.9 2.3 -3.07 -2.27

So Davis was better than most at hitting fastballs in 2013, and he was even better at hitting sliders and changeups. This year, though, he can’t seem to hit any of those three kinds of pitches as well, and he pretty much can’t hit a curveball or changeup at all.

Would you like to guess what non-fastball pitches he’s been getting more? Did you guess curveballs and changeups?  If you did, congratulations! You’re correct! Pitchers have adjusted to Davis hitting fastballs and sliders, and they’ve started to give him more curveballs and changeups, which, again, he can’t seem to hit this year. So part of Davis’ problem could simply be that he’s being pitched to differently.

And it’s not only that different kinds of pitches are coming to Davis. Pitchers are throwing low and away more often, and it’s hurting his numbers. Below is what I’m going to call an animation showing where pitches are coming to Davis. It’s from the catcher’s point of view, and it reads like a heatmap; white is neutral, red means more pitches are coming in that location and blue means fewer pitches are coming in that location.

pitch percent

So it’s pretty clear that 2014 pitchers are focusing on Davis low and away, which is a good idea since Davis is having trouble hitting those pitches, as shown in this second animation, or whatever it is.

avg

So pitchers are coming at him differently, and he’s hitting differently. In 2013, Davis could basically hit anything in the strike zone and even a little bit below the zone. This year, he seemingly can’t hit the ball unless it’s low in the zone, and even then it’s a little shaky.

He’s also changed his approach a little bit. While Davis is chasing fewer pitches out of the zone, he’s also swinging less in general, even at strikes, and that’s a trend that’s been going on since 2012. And not swinging at strikes isn’t always a bad thing; Joey Votto swings less than almost anyone, and he’s a pretty good hitter. What’s a little troubling is that Davis is making less contact when he does swing, and that’s also a trend two years in the making. Of course, when a guy is hitting .286 and blasting 53 home runs, who cares if he’s making less contact? But when those 53 dingers turn into 21 and that .286 average drops below .200, we can start to be concerned.

So it’s all kind of going against Davis right now. He’s trying to be more patient, but pitchers are recognizing that and throwing him more strikes. And when he gets behind in the count, it makes things a little more difficult. Plus those mean old pitchers are throwing him pitches he doesn’t hit so well. It’s been an off year for Davis, and he’s still hitting for really good power. Not as much as 2013, but still a lot. If he can do that, and maybe turn things on for the last 35 or so games and into the playoffs, his team could make some kind of run. Maybe not a great run, but some kind of run.


2014’s Most Average Hitter

The premise of this article is a very simple one: which hitter has been the most average in 2014? Considering this question led me through a very simple process, and to a very sad answer (I urge you not to look at the links until the end because suspense). To the leaderboards we go!

Seeing as we’re looking for the most average hitter (not considering defense), and wRC+ is a hitting statistic designed to compare hitters against the average, it seems like a natural starting place. Considering only players with wRC+ between 95 and 105 gives us a list of 24 players.

Next, let’s look at wRC+’s partner in crime: wOBA. League average for wOBA is .316, so this round we’ll be restricting our list of 24 even further, only looking at hitters with wOBA between .310 and .320. Doing so cut our list (almost) in half! We are now left with only 13 players, progress!

Now that we’ve condensed the list based on production, it’s now time to look at the composition of said production. Our average player should have a BB% of about 7.9, and a K% of 19.8. Adjusting our leaderboard leaves us with the three most average hitters in the league. One of these three is not a surprise. The other two are very sad surprises.

But we want 1 average player, not 3, so to narrow it down to the end, I have included another filter for ISO, because our most average hitter should hit for an average amount of power. This final filter leaves us with the single most average player in the major leagues, and fair warning, it will sadden you:

Evan Longoria: BB%: 8.8 / K%: 18.8 / ISO: .139 / BABIP: .287 / OBP: .324 / SLG: .390 / wOBA: .312 / wRC+: 102

League Average: BB%: 7.9 / K% 19.8 /ISO .140 / BABIP: .301 / OBP: .319 / SLG: .396 / wOBA: .316 / wRC+ 100

There was a time when Longoria was to baseball what Mike Trout is today (well maybe not quite on the same level). He came up in 2008 and was the the star of the Rays in their surprising march to the World Series. He showed off 100% not-fake, seemingly-superhuman powers. From 2008 to 2013, Longoria’s wRC+ was 15th in baseball, in a virtual tie with David Wright (who happens to be one of the other most average players). He was also the single most valuable position player by WAR (36.1) in that time. For the first 6 years of his career, Longoria was a model of offensive consistency.

2014 has been a different story though. I’m not the first to write about Longoria’s down year, so I’ll refer you to the works of Jeff Sullivan and James Krueger. The bottom line: Longoria’s bat speed is down, which is killing his power and his ability to hit inside fastballs. This can be seen in his power numbers: a .139 ISO is a far cry from his career ISO of .225 (for reference, David DeJesus has a career ISO of .140). Longoria’s only hitting 9.7% of his fly balls for home runs, compared to 15.5% for his career.

His power hasn’t fully disappeared, but it’s nowhere close to what it was. It’s this sort of sharp power decline that usually suggests some sort of injury à la Matt Kemp (.236 ISO in 2012, .125 in 2013 following a shoulder surgery). Longoria is not expected to miss much time with his latest foot injury, and as Krueger points out, Longoria himself has attributed these struggles with mechanical issues. However, if I were a betting man (or at least old enough to legally gamble in casinos), I would put money on the Rays’ third baseman undergoing some sort of procedure over the offseason.

Now the good news for the Rays is this: even as the league-average hitter, Longoria is still very valuable. Dave Cameron ranked him 9th in his trade value series, no doubt in large part due to his superb defense and very team-friendly contract. Projections have Longoria finishing 2014 with 4.0 WAR. If the cost of a win is approximately $6 million, then he’s worth about $24 million in 2014, but only being paid $7.5 million. Even if Longoria continues to be a league-average bat with excellent defense, he will be very underpaid and very valuable. Really goes to show how great that contract was, huh?

Even more fortunate for Rays’ fans is that given Longoria’s career history, this sort of drop off in offensive production likely is not representative of his true-talent level. While his days as a ~135 wRC+ hitter may be behind him, 119 games is not a huge sample size and Longoria is still just 28. It’s likely that Longoria’s production increases closer to his career averages (Oliver has him 126 wRC+ for next year, which definitely passes the sniff test). The fact remains: Evan Longoria, despite being the most average hitter in baseball, is still one of the most valuable. Now we’ll just have to see what happens to that other average-hitting third baseman.


The Chicago Cubs and the Terrible, Horrible, No Good, Very Bad Junior Lake Season

The future is bright on the North side of Chicago. As Rany Jazayerli pointed out this week on Grantland, that future is especially bright in the batter’s box. With an absolute stud to build around, arguably the best bat in the minor leagues right now, a 24-year old short stop who has been worth over ten wins in his career so far, and seemingly every single middle infield prospect in the world, even the biggest curmudgeon on TV seems to be enthusiastic about the Cubs future. However, if this article were written a year ago today, there would be another name that Cubs fans would be screaming at me for leaving off, Mr. Junior Lake. While Lake was not the biggest prospect in the Cubs’ system, when he burst on to the scene last July, excitement was high. It took him only five games to tie a major league record, as no player has ever had more than the 12 hits he garnered through his first five games.

After six games, Lake had an article of his own on FanGraphs, (deservedly) espousing his hot start, while (prophetically) looking at a few red flags in Lake’s game (more on that later). In those six games he slashed .519/.536/.852 with a pair of home runs and three doubles. He even continued to hit well for the remainder of the season, finishing with a wRC+ of 110 and despite below average defense in the field, was still worth over a win to the Cubs for the 64 games in which he appeared. Coming into this season, Lake was a 23-year old with a decent upside who had Cubs’ fans excited for the future.

Cut to: August 13, 2014.

Lake has lost his regular spot in the lineup, and no one has deserved to lose their spot in the lineup more this season. Now Lake may bounce back to be a decent contributor for future iterations of the Cubs (again, more on that in a little bit), but his numbers this season are incredibly poor. Check out his ranks (these will all be from the bottom ranks, as in first really means the worst in the league) in these essential statistics in 2014:

Stat Lake in 2014 League Rank (min. 300 PAs)
OBP .246 2nd
wOBA .269 11th
LD% 15.6 8th
wRC+ 66 10th
fWAR -0.7 6th

Being near the bottom of one of these statistics is hardly a death knell (check out the killer lineup that could be created with the lowest line-drive rates in the league), but if you’re at the bottom of the barrel across the board, it’s fair to say you’ve Schruted up your season in a big way.

So what has been the cause of Lake’s collapse at the plate? The answer is pretty simple. All that’s needed is a trip over to the plate discipline graphs on this very website. Once again using from the bottom ranks, check out some of Lake’s plate discipline statistics:

Stat Lake in 2014 League Rank (min. 300 PAs)
K% 33.4% 3rd
BB% 3.3% 7th
BB 10 T-1st
BB/K 0.10 1st
O-Swing% 43.0% 7th
Z-Swing% 77.2% 7th
Swing% 58.1% 4th
O-Contact% 43.3% 5th
Z-Contact% 74.5% 4th
Contact% 61.6% 3rd
F-Strike% 69.5% 1st
SwSt% 21.7% 1st

As someone who is neither here nor there on the Cubs (aside from a long-term bet in which I have them making the playoffs before the Astros), I think it’s fair to look at this man who has somehow combined a Pablo Sandoval-esque lack of patience at the plate with a Chris Carter-esque lack of contact on those reckless swings, and simply say, “I’m not even mad, that’s amazing.”

That duo isn’t easy to pull off. Of the top thirty highest swing rates among hitters with at least 300 plate appearances, only one other hitter (Mike Zunino) has a contact rate in the sixties, and Zunino’s swing rate is lower and his contact rate is higher than Lake’s. Not to mention that Zunino’s defense has actually made him worth two wins for the Mariners this season, while only George Springer has committed more errors in the outfield than Lake in 2014.

Lake’s Brooks Baseball profile is maybe the most depressing thing in Chicago since this guy.

His performance against fastballs is described as, “an exceptionally aggressive approach at the plate (-0.19 c) with a disastrously high likelihood to swing and miss (30% whiff/swing),” against breaking pitches, “an exceptionally aggressive approach at the plate (-0.32 c) with a disastrously high likelihood to swing and miss (50% whiff/swing),” and against offspeed pitches, yeah, “an exceptionally aggressive approach at the plate (-0.65 c) with a disastrously high likelihood to swing and miss (55% whiff/swing).”

The man clearly needs a private lesson with Wade Boggs, although that might not even be enough. Interestingly enough, in his aforementioned piece on Lake last year, FanGraphs’ Bradley Woodrum spotted a couple of potential flaws that Lake would have to fix. Woodrum mentions Lake’s lack of plate discipline in the minor leagues, but he also touches on two other drawbacks to Lake’s game: his extremely “loud” swing, and his struggles with low sliders.

As far as the “loud” swing, scouting player’s swings is not my specialty, but his swing actually does seem a little toned down in 2014. Check out the gif used in last year’s FanGraphs piece showing Lake’s bat going crazy as the pitch comes in. Now here’s his toned down approach taken from the middle of this season. Well, toned down until he swings and misses, at least:

While his hands are still moving, they don’t seem to be doing so with the same reckless abandon as last year. That would seem to be a good sign, one that Lake is willing to tinker with his swing to get better results. As I said though, I am far from a scout, and would be curious to hear feedback on what others think about his swing.

In terms of his struggles with sliders, those have only been exasperated in 2014, as he has derived the fourth-lowest value against sliders this season, at -7.4 runs. And considering that that pitch value is a cumulative statistic and the three men in front of him all have more than 100 more plate appearances than Lake in 2014, it’s fair to say Lake has struggled as much as any hitter in baseball against the slider in 2014.

With Arismendy Alcantara having made a far smoother transition to the outfield (believe it or not, Lake was yet another middle infield prospect originally), and Jorge Soler/Kris Bryant due to be called up in the not-too-distant future, one has to wonder whether Lake’s shot at as a member of the Cubs is through with. The best option likely would have been to send him down to Triple-A about a month ago, as sitting on the bench in the major leagues will neither help his confidence, nor give him the chance to get in regular swings every day, and begin to tinker with his swing etc.

There is some evidence that Lake far prefers to play left field instead of center field, slashing .312/.333/.561 in his 44 games in left field, but this seems a little bit more noise than signal. However, given that the Cubs really have no motivation to win at this point, their best option may well be to put Chris Coghlan, their current left fielder and a useful piece for say the Oakland A’s, on waivers, and see what they have with Lake in left field for the remainder of the season. With a month and a half of season left, the Cubs could see if those splits really are statistically significant, and if they were, the Cubs could have yet another piece of their future lineup in place. And if not, there are plenty of reinforcements on the way.


Biogenesis Players: Then vs. Now

After watching Nelson Cruz this year and all the noise he has been making, on top of a recent report by Buster Olney stating, “The average distance of the fly balls pulled by Ryan Braun this season is down 42 feet, from 302 to 260…”, it inspired me to look up the numbers for players suspended in the Biogenesis case. The big four suspended were Alex Rodriguez, Ryan Braun, Nelson Cruz, and Jhonny Peralta. Other position players involved and suspended were Everth Cabrera, Jesus Montero, Francisco Cervelli, and Jordany Valdespin.

This article will focus on the big four with the exception of A-Rod because he has been suspended all season. Obviously enough this is a small sample size so take heed. I will be making a couple of assumptions, the main one being that these players had been using steroids for at least 3 years (2010-2012) prior to their being caught and suspended. The other assumption being that enough time has passed for the effects of the steroids to have worn off and that their bodies/abilities are back to their more natural state.

Ryan Braun 2010 2011 2012 2014 2014 (ZiPSU)
HR/FB 14.00% 18.80% 22.80% 15.10%
Slug% 0.501 0.597 0.595 0.496 0.505
ISO 0.197 0.265 0.276 0.211 0.231
WRC+ 134 171 160 129 133
OFF 32.5 58.8 52 12.5 21
True Distance (ft) 408.2 406.7 406.9 387.9
Average Speed Off Bat (mph) 105.1 104.7 104.2 102.1

 

Nelson Cruz 2010 2011 2012 2014 2014 (ZiPSU)
HR/FB 15.20% 18.70% 13.10% 20.00%
Slug% 576 509 460 513 505
ISO 258 246 200 253 246
WRC+ 147 116 105 130 127
OFF 26.6 7.7 0.8 14.9 18.5
True Distance (ft) 405.2 411.6 418.6 398.9
Average Speed Off Bat (mph) 105.2 106.4 106.8 104.2

 

Jhonny Peralta 2010 2011 2012 2014 2014 (ZiPSU)
HR/FB 7.50% 10.80% 8.30% 12.50%
Slug% 392 478 384 447 441
ISO 143 179 145 187 180
WRC+ 91 122 85 122 120
OFF -12.7 11.2 -13.8 8.4 10.3
True Distance (ft) 392.5 388.4 391.9 397
Average Speed Off Bat 101.2 102.3 101.7 102.8

 

The main thing that jumps out at you is that Cruz and Peralta are statistically putting up some of the best numbers of their careers (without a doubt, top 3)! Braun, however, is having his worst season of the 4 above, while Peralta and Cruz both are having their most powerful seasons yet. Their HR/FB rates are each at their highest as well as their ISO numbers, while again Braun’s are at his worst of the 4 seasons. Looking at WRC+ and OFF, Peralta is having his 4th best season ever, Cruz is having his 2nd best ever, and Braun is having the worst season of his career to date (with the possible exception of 2008).

Using ESPN’s hittrackeronline.com I looked up each player’s True Distance on home runs this year as well as the average exit speed velocity of their home runs. Ryan Braun has lost 3 mph which has correlated to a shortage of almost 20 feet on his balls. Nelson Cruz has lost about 2 mph and 20 feet off his home run balls from his peak of the four years. Jhonny Peralta, on the other hand, is showing his best numbers this year.

So what does all this mean? In summary, I believe the main thing we can take away from this is that each player who used steroids should be assessed on a case by case basis. Every player is affected differently. We cannot group all steroid users together. Using the above statistics as proof, after being charged in the Biogenesis case, 2 players are having among the best seasons of their careers while another is having his worst. In addition the best all-around athlete and youngest of the 3 (so therefore closest to his prime) is the one who is struggling most, Ryan Braun! Whether it is the HOF vote, or evaluating future value of perceived steroid users, we can’t lump them all into the same group and assume that they will automatically decline. Yes, using steroids is absolutely cheating, however it doesn’t necessarily mean that those players wouldn’t have been just as productive had they chosen legal supplements or nothing at all.


Xander Bogaerts’ Rookie Struggles

Coming into the year, the Boston Red Sox were riding high after the 2013 title in which they’d gone from worst to first. Just about everyone with a worthwhile opinion thought that’d they at least be in contention for the playoffs again this year, and it wasn’t uncommon to see people picking them to repeat in 2014.

One of the few questions people did have about the team was how would they integrate their two young players, Jackie Bradley, Jr. and Xander Bogaerts, in their first full seasons as starters. Of these two players, Bradley was the one that people seemed most concerned about. This made sense, since he was less regarded as a prospect than Bogaerts (number 2 overall on most prospect top 100 lists). But while Bradley has been a complete zero with the stick (57 wRC+), his defense has carried him to 1.5 fWAR so far this season. Bogaerts, on the other hand, has a wRC+ of 82, which combined with mediocre defense has left him hovering around replacement level.

Now, there’s no doubt that people are disappointed by Bogaerts’ season, and they have every right to be. Bogaerts was hyped as the rare prospect with superior skills and a significant amount of polish, and he showed why when he played like a veteran down the stretch in last year’s playoffs. Nobody was expecting him to be replicate Mike Trout’s rookie season, but a league average regular was probably a reasonable expectation. Obviously Bogaerts has underperformed relative to that standard.

Guys like Trout, Yasiel Puig and Manny Machado have essentially ruined the kind of expectations we now put on guys going through their first full seasons. Do you know how many batting-title-qualified rookies have had an OPS lower than Bogaerts’ current .650? 311! And of that 311, 283 of them were older than Bogaerts’ current 21 years of age. Bogaerts is struggling, but that’s what rookies do. There’s no greater jump in professional baseball than the one to the majors.

Bogaerts is actually hitting pretty well against fastballs and changeups. The crux of his issues this year have been against breaking balls. And there’s really no way to sugarcoat it. He’s been terrible against any and all spin, hitting just .143 and slugging .167. Unfortunately, opposing pitchers have noticed, and Bogaerts has only seen more breaking balls as the season has progressed.

plot_hco_bytime (1)

As the rate of breaking balls has gone up against Bogaerts, his numbers have gone down. The Red Sox shortstop was actually a well above average hitter heading into June (119 wRC+ in March/April, 149 wRC+ in May), but then everything fell apart. Bogaerts posted an almost unthinkable .426 OPS in June, a number less than half (.897) of what he posted the month before. He followed that up with a much improved, but still terrible July (.595 OPS) and continued to struggle in August.

Bogaerts’ struggles with breaking balls coincide with the part of his game that has perhaps regressed the most as his season has progressed: his plate discipline. After working 25 walks through the end of May, Bogaerts has been told to take his base just seven times since. A large part of that has been the decline of his ability to discriminate between a breaking ball thrown for a strike, and one thrown for a ball.

plot_hco_bytime

As you can see in the graph above, Bogaerts has stayed fairly steady against fastballs and changeups, but his ability to recognize breaking balls has completely melted away. As for why this has happened, that’s difficult to say. Maybe Bogaerts has always struggled against breaking pitches. But the most likely answer is that he’s a rookie struggling to adjust against pitchers capable of taking advantage of his weaknesses. Nevertheless, it’s at least been a prolonged slump, and one that Red Sox fans have to hope isn’t a glimpse into continual struggles for their youngest player.

Then, putting aside things that we can actually measure, there’s the possibility that Bogaerts is simply in his own head right now. As a ballplayer, he’d probably tell you he’s trying to do too much. There’s certainly something to that side of the argument. It can’t be easy to fail so spectacularly after being hyped as the next face of one of the most prestigious franchises in the game.

There’s also an argument to be made that some responsibility for Bogaerts’ struggles can be set at the feet of his manager, John Ferrell. There have been rumors that Ferrell was the person in the organization pushing the hardest for the Red Sox to resign Drew, which they ultimately did in late May. Drew, who had never played any position but shortstop in his big league career at that time, would be forcing Bogaerts over to third base, the position he played down the stretch of the 2013 title run. Bogaerts expressed some disappointment at time as a result, and an argument can be made that the team’s decision to resign Drew shook his confidence. Before Drew joined the lineup on June 2nd, Bogaerts was batting .296/.389/.427. Since then he’s hit .169/.201/.279. You might say that those dates are arbitrary and coincidental, and you can make of them as you wish. I will say that confidence is a huge part of succeeding in this game, and it should not be overlooked.

Overall, Bogaerts probably won’t look like he belongs back in AA forever, though we may have to wait until 2015 to see the player we were all hoping for. We got that player in the first couple months of this season, but pitchers’ adjustments, along with Bogaerts lack of adjustment to those adjustments, have torpedoed what was initially a very promising rookie year. That said, young players with Bogaerts pedigree and polish often turn into solid players at the very least, and I’m still as excited as ever about his career going forward. He’ll figure it out.


Does Troy Tulowitzki Suffer Without Carlos Gonzalez?

Does Troy Tulowitzki suffer without Carlos Gonzalez in the lineup?

Several weeks ago, in the same way my last article on rookie first and second half splits was inspired, my attention was alerted when a podcast personality contrived that Troy Tulowitzki, before his most recent bout with the injury bug, had performed poorly because Carlos Gonzalez had been out of the lineup.

The pundit grabbed the lowest handing fruit he could find in an effort to create a narrative, and a dogmatic one at that, as to why the Colorado Rockies slugger had not lived up to his pre All-Star break numbers.

******* *******’s (I’d prefer the article to be more about the subject of Tulowitzki and Gonzalez than the podcast member) argument was that without Carlos Gonzalez in the lineup, pitchers could approach Tulowitzki without fear, give him less strikes, and that is why his hitting has declined.

While this pundit surmised that Troy Tulowitzki’s performance declines when Carlos Gonzalez is out of the lineup, the numbers tell a much different story.

While we will look at the more direct numbers in a moment, the idea that Tulowitzki plays worse without Gonzalez is essentially the idea of lineup protection at a micro level. There have been countless instances that have debunked the idea of lineup protection, and, to my knowledge, none that have proved its existence.

Screen Shot 2014-08-10 at 6.02.45 PM

The research looked at all games from 2010—Carlos Gonzalez’ first complete season—to today.

The results paint a much lighter picture than the Guernica that ******* ******* painted.

In games where Tulo has played without Cargo, he has had a higher AVG, OBP, OPS, and BB%. One might think that Tulowitzki would continue his normal performance without Carlos Gonzalez in the lineup, but, as this information suggests, it is hard to imagine that Tulo plays better because Carlos Gonzalez is not in the lineup, which leads me to believe what one would normally think about out of the ordinary performances in a small amount of at bats.

The utility of these results should be used for descriptive, and not predictive, purposes. Troy Tulowitzki has only had 479 plate appearances without Carlos Gonzalez, and that is far from a large enough sample size to be deemed reliable.

But because of the recent remarks made by Tulowitzki, it seems like it will be more likely than not that sooner rather than later we will see a large enough of a sample size of Tulo in another uniform to see if this trend continues.

While Tulo has played worse and is hurt as of late, we might expect that it is because he was unlikely to live up to the performance he had in the first half, and not because of Cargo’s presence or lack thereof in the lineup. Over the course of the first half of the season, Tulowitzki’s posted the 15th best OPS in a half of a season since 2010.

Tulo’s latest play suggests a regression to the mean, and while we are powerless to know exactly why regression happens, some pundits proclaim to know the reason (i.e. Tulo plays worse without Carlos Gonzalez), when really their specious statement is noise with a coat of eloquent words painted upon it.

When the next “expert” tells you that Tulo has preformed poorly, because “ he wants out of Colorado” or  “he wants to be traded”, you’ll know to be more skeptical and not passively agree.

If he gets healthy at some point this season, we should expect Tulowitzki to perform close to his projections in all areas for the rest of the year, and it will be with or without Carlos Gonzalez, not because of him.


Manny Machado and Selective Agression

In the off season I wrote about how Manny Machado’s 2013 second-half struggles lied in his inability to select pitches he could hit. Essentially, his innate ability to get bat to ball combined with a poor understanding of knowing which pitches he could drive led to him swinging and making contact on pitches he could not barrel up. This led to an increase in fly balls – especially infield fly balls – which indicate poor contact is being made. Machado was swinging at junk and this caused his batting average and extra base hit production to plummet in the second half of 2013.

Fast forward to now, and Machado has been hitting .301/.340/.494 for the last two months after a cold start coming off of knee surgery. He has a .193 ISO during that time period as well as a 24.3% line drive rate. He certainly has been barreling up the ball for the last two months and has been one of the only Orioles hitters  doing so since the All Star break. Therefore, I wanted to see if Machado has changed his approach in any meaningful way and has learned to be selectively aggressive. Meaning, while he still is never going to be an on base machine, he can still be patient enough to wait on pitches he knows he can hit and hit well rather than making contact on pitches he cannot hit well.

Looking into his basic 2014 plate discipline numbers, interestingly, reveals little to no positive change from 2013. He is swinging more at pitches in the zone and out of the zone. He has an O-Swing% of 32.8%, a Z-Swing% of 68.6% and an overall swing% of 49.9% all of which are two to three percentage points higher than last year. Furthermore, he is making less contact on pitches in and out of the zone. His O-Contact% is 63.5% and his Z-Contact% is 85.4% alongside an overall contact% of 77.9% all of which are three to four points lower than last season. If Manny was swinging and barreling up better pitches to hit his swing rate may be the same, but he should not be swinging at pitches out of the zone more often. Furthermore, his contact rate would be higher especially on pitches in the zone, which it is not. Also, his swinging strike rate is up and his pitches seen in the zone are down. So, if those numbers are not showing why Manny is being more successful to date this year, then either there is another reason or it has simply been luck so far.

A quick look at some other figures tells a slightly different story.  His walk rate is nearly two points higher to date this season and his pitches per plate appearance is up from 3.53 P/PA to 3.68 P/PA. While that may not seem like an astronomical increase, it is significant. Manny had 710 plate appearances last season, if he had this season’s rate of P/PA he would have seen 106.5 more pitches last year. Therefore, his increasing strikeout rate is not surprising simply because he is seeing more pitches. He also is not striking out at an absurdly high rate to begin with, only slightly above 2014 league average. Basically, Machado is seeing more pitches this year than last, and this has led to a higher walk rate and a higher strike out rate.  This, however, does not quite prove the theory of selective aggression that I am purporting.

Using heat maps, this theory can truly be put to the test. Manny may be swinging slightly more and making a little less contact, but what matters here is whether or not he is swinging at good pitches for him to hit, which his recent numbers and line drive rate would suggest he is doing. Below are two heat maps. One is of Manny’s 2013 season swing rates by pitch location, the whole season, and the second one is his 2014 season swing rates by pitch location to date.

Manny 2013 Swing Manny 2014 Swing

Of note, Manny Machado thus far in 2014 has swung significantly less at pitches out of the zone that are down and away, down and in, and up and in.  Also, he has focused on swinging at pitches that are middle in, middle, down, middle up, and even up and away. This allows him to extend his arms and drive the ball, especially the other way. In 2013, Manny focused much more on pitches in the middle of the plate and up and in. The swings at pitches that are up and in especially, and the other problem areas as well, zapped his ability to make solid contact and nosedived his 2013 offensive production.

Next up in this what is turning more and more into a slideshow are contact rate heat maps for 2013 (first picture) and to date in 2014 (second picture).

Manny 2013 Contact

Manny 2014 Contact

Manny seemed to make much more contact on pitches inside and outside the strike zone in 2013.  In particular, he made contact at a much higher rate on pitches up and in, down and in, and up and away. These are pitches that Manny simply cannot drive well, which means that if he is making contact with these pitches they are most likely to be outs, which in turn led to his struggles in the second half of 2013.  In 2014 his contact rates are much more concentrated within the strike zone and specifically middle in, down, and up. He is still making lots of contact on pitches too far up and away and down and away, but much lower than he was in 2014. This minimizes the bad contact and allows him to see more pitches that he can make hard contact on.

To bring it all home, below are two more heat maps. These heat maps are Manny’s batting average by pitch location again for the entirety of the 2013 season and the 2014 season to date. Again, the first one will be 2013 and the second one will be 2014.

Manny 2013 AVG

Manny 2014 AVG

These heat maps reveal more about how Manny’s approach at the plate has transformed. In 2013, the averages were decently high all around the plate and even out of the zone. However, this is not necessarily a great thing. Manny was swinging at pitches wherever they may be and his average was not great in many of those pitch locations. Fast forward to 2014, and the hitting zones are much more concentrated and with higher batting averages. The section that is middle in Manny is hitting .242 on pitches thrown to that location and is swinging 82% of the time at pitches in that location, tied for highest of any spot on his 2014 swing map.  He is swinging and driving pitches that are middle in, up, and down. He can drive the ball by extending his arms on up and away pitches and he can pull his arms tight to either pull the middle pitches or inside out them to center field or right field. These are the pitch locations that Manny can hit and hit hard and he is swinging more at those pitches than he was in 2013.

The adjustments made to Machado’s plate discipline provide a selective aggression that make him a better batter. As stated before, he is unlikely to become an on base machine. But, Manny has shown that he can hit doubles and home runs. If he maintains a higher average and his selectively aggressive eye at the plate he can continue to be an all star level player for the Orioles. Time will tell how pitchers adjust and how he adjusts, but the developments this year over last provide a great picture into Machado’s ability to adapt and thrive.

This post was originally posted to www.Orioles-Nation.com on 8/8/2014