Archive for White Sox

Can We Solve Baseball’s Other Catcher Concussion Problem?

Baseball may have seemed to have solved the catcher concussion problem when it instituted new rules governing the play at the plate in 2014. Despite some hiccups, eliminating the play at the plate seems to eliminate the main source of player on player in-game violence — and the other, the play at second base, is currently under scrutiny. Despite the odd pitch to the head and outfielder into the wall, that should make baseball one of the safest sports for a young brain. The numbers, especially for catchers, provide hope.

But there is still one repetitive play that causes concussions regularly for catchers — and there might be a fix to that problem, too. A fix that seems to come with even fewer ramifications for the game.

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Previewing the Best and Worst Team Defenses for 2016

Early this morning, the full 2016 ZiPS projections went live on the site. This is probably news to many of you. Surprise! Happy ZiPS day. You can now export the full ZiPS spreadsheet from that link, find individual projections on the player pages, and view our live-updating playoff odds, which are powered by a 50/50 blend of ZiPS and Steamer. This is good news for everyone, including us, the authors, because now we have more information with which to work.

And so here’s a post that I did last year, and one which I was waiting for the full ZiPS rollout to do again: previewing the year’s team defenses. It’s been a few years running now that we’ve marveled over speedy outfielders in blue jerseys zooming about the spacious Kauffman Stadium outfield, and now those speedy outfielders in blue jerseys are all World Series champions. People are thinking and talking about defense more than ever, and you don’t think and talk about defense without thinking and talking about the Kansas City Royals. Defense: it’s so hot right now. Defense.

The methodology here is simple. ZiPS considers past defensive performance and mixes in some scouting report information to give an overall “defensive runs above or below average” projection. Steamer does the same, except rather than searching for keywords from real scouting reports, it regresses towards the data from the Fans Scouting Report project compiled by Tangotiger every year. The final number is an average of these two figures, and can be found in the “Fld” section of the depth charts and player pages. It isn’t exactly Ultimate Zone Rating or Defensive Runs Saved, but it’s the same idea, and the same scale.

Let’s look ahead toward the year in defense.

* * *

The Best

1. Kansas City Royals

This is one of my new favorite fun facts: the Royals outfield defense, just the outfield, is projected for 31 runs saved, which is higher than any other entire team in baseball. And with Alex Rios out of the mix in right field and Jarrod Dyson and Paulo Orlando stepping in full-time, Kansas City’s outfield defense should somehow be even better than it’s been in the past.

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Two Comps for Two Views of Carlos Rodon

From what any of us can tell, the American League is going to be close, and maybe closer than ever. It wouldn’t appear that there are any great teams, and it wouldn’t appear that there are any bad teams, and my favorite thing about this kind of landscape is it means a whole season could conceivably be determined by the fate of one single player. One player greatly under-achieving could knock a given team out of the hunt. On the other side of things, one player greatly improving could push a given team into first place. The closer the pack, the less it could take to emerge. That’s the theory, anyhow.

The White Sox are one of those teams you can look at and imagine 90 wins or 90 losses. Last year’s version almost got to 90 losses, but then this year’s version promises to be better and deeper. And as you get to thinking about the White Sox’s upside, you get to thinking about Carlos Rodon, who’s going to slide into the rotation behind Chris Sale and Jose Quintana. It wouldn’t be a total shock if Rodon were to struggle. But then, if Rodon were to put his skills together, that could send Chicago to the playoffs. So Rodon should be what people like to call an “x-factor,” and in thinking about Rodon, I’ve come up with two other names. One name you can link to Rodon’s signature pitch, and one name you could maybe consider as Rodon’s future.

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MLB Farm Systems Ranked by Surplus WAR

You smell that? It’s baseball’s prospect-list season. The fresh top-100 lists — populated by new names as well as old ones — seem to be popping up each day. With the individual rankings coming out, some organization rankings are becoming available, as well. I have always regarded the organizational rankings as subjective — and, as a result, not 100% useful. Utilizing the methodology I introduced in my article on prospect evaluation from this year’s Hardball Times Annual, however, it’s possible to calculate a total value for every team’s farm system and remove the biases of subjectivity. In what follows, I’ve used that same process to rank all 30 of baseball’s farm systems by the surplus WAR they should generate.

I provide a detailed explanation of my methodology in the Annual article. To summarize it briefly, however, what I’ve done is to identify WAR equivalencies for the scouting grades produced by Baseball America in their annual Prospect Handbook. The grade-to-WAR conversion appears as follows.

Prospect Grade to WAR Conversion
Prospect Grade Total WAR Surplus WAR
80 25.0 18.5
75 18.0 13.0
70 11.0 9.0
65 8.5 6.0
60 4.7 3.0
55 2.5 1.5
50 1.1 0.5
45 0.4 0.0

To create the overall totals for this post, I used each team’s top-30 rankings per the most recent edition of Baseball America’ Prospect Handbook. Also accounting for those trades which have occurred since the BA rankings were locked down, I counted the number of 50 or higher-graded prospects (i.e. the sort which provide surplus value) in each system. The results follows.
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White Sox Buy Low on Mat Latos and His Baggage

Well, that didn’t take long. Yesterday, I addressed the White Sox desperate need to bolster their rotation to be taken seriously as a contender, and suggested Yovani Gallardo as a sensible addition. The White Sox apparently agreed with me on the first count and rendered the second moot by agreeing to terms with Mat Latos just hours after the post went up.

The deal went down for one year and $3 million, a figure that jumps out as being essentially nothing in today’s free agency landscape. Especially so, when you consider what Latos was expected to receive:

Cheapeast Contracts Relative to Crowdsourced Predictions
Player CS_Yrs CS_$ CS_AAV Tru_Yrs Tru_$ Tru_AAV Yrs_DIF $_DIF AAV_DIF
Yoenis Cespedes 6 132 22 3 75 25 3 -57 3
Howie Kendrick 4 52 13 2 20 10 -2 -32 -3
Hisashi Iwakuma 3 42 14 1 12 12 -2 -30 -2
Mat Latos 2 22 11 1 3 3 -1 -19 -8
Alex Gordon 5 90 18 4 72 18 -1 -18 0

Looking just at guaranteed dollars, it’s the fourth-cheapest contract of the offseason, relative to the crowd’s guess. The crowd expected Latos would earn $22 million this offseason, and what he actually got was $3 million.

Look beyond that, and Latos’ deal stands out even more. We all know about the funky Cespedes contract, and even though he got $57 million fewer guaranteed than expected, that’s largely offset by him actually getting a higher AAV. Iwakuma’s price tag dropped after failing a physical. Gordon got an equal AAV, just one fewer year. In terms of just AAV, Latos is the bargain of the offseason, so far, according to this one-track methodology. His AAV is $8 million less than the crowd predicted; no other free agent has had a gap larger than $4 million.

How did this gap come to be? Did the crowd wildly overestimate Latos’ value? Did the White Sox get a total steal?

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Yovani Gallardo’s Obvious Fit, and Even More Obvious Fit

Let’s check in on the latest in Yovani Gallardo rumors:

It took a while for any Gallardo talks to surface, but when they did, it was the Orioles, Rockies, and Astros at the forefront. Everyone agreed: those three were the lead suitors.

But the thought of a non-contending Rockies team forfeiting a draft pick for a pitcher entering his age-30 season seemed a bit peculiar, and then GM Jeff Bridich came out and said the talks were “overblown,” so people scratched the Rockies off the list. The Astros went and signed Doug Fister, and people scratched the Astros off the list. So on January 28, just the Orioles were left. On February 4, just the Orioles were left. And on February 7… just the Orioles were left.

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KATOH Projects: Chicago White Sox Prospects

Last week, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Chicago White Sox. In this companion piece, I look at that same Chicago farm system through the lens of my recently refined KATOH projection system. There’s way more to prospect evaluation than just the stats, so if you haven’t already, I highly recommend you read Dan’s piece in addition to this one. KATOH has no idea how hard a pitcher throws, how good a hitter’s bat speed is, or what a player’s makeup is like. So it’s liable to miss big on players whose tools don’t line up with their performances. However, when paired with more scouting-based analyses, KATOH’s objectivity can be useful in identifying talented players who might be overlooked by the industry consensus or highly-touted prospects who might be over-hyped.

Below, I’ve grouped prospects into three groups: those who are forecast for two or more wins through their first six major-league seasons, those who receive a projection between 1.0 and 2.0 WAR though their first six seasons, and then any residual players who received Future Value (FV) grades of 45 or higher from Dan. Note that I generated forecasts only for players who accrued at least 200 plate appearances or batters faced last season. Also note that the projections for players over a relatively small sample are less reliable, especially when those samples came in the low minors.

1. Tim Anderson, SS (Profile)

KATOH Projection Through First Six Seasons: 6.0 WAR
Dan’s Grade: 55

At the plate, Anderson’s 2015 at Double-A strongly resembled his 2014 at High-A. He struck out in over 20% in his plate appearances, walked in less than 5% and hit for an unremarkable amount of power. While he improved his walk rate to near-respectability — from 2% to 4% — he sacrificed a chunk of power in the process. Last year, however, he complemented his relatively empty .300 average with a boatload of steals, which speaks to the 22-year-old’s athleticism. Anderson’s undeveloped bat still gives KATOH some pause, but shortstops with top-notch speed don’t need to hit much to be productive.

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Evaluating the 2016 Prospects: Chicago White Sox

Other clubs: Braves, Cubs, Diamondbacks, Orioles, Red Sox.

The White Sox have seen their lowly regarded farm system weakened by the Todd Frazier deal, but they still have a few guys at the top who could be impact players. This system’s biggest strength is in its depth of depth pieces, including a lot of bullpen arms and bench players that still have some upside if things break right. Perhaps the most interesting quality is how unique some of their prospects are. Many are gifted athletes who seem to have atypical looks on the field, or just unique stories. Watch Tyler Danish on the mound and how his delivery works, with possibly surprising success, depending on who you ask. Or take Eddy Alvarez, who previously won a silver medal in speed skating before coming back to baseball.

Though I don’t think this system will churn out a bunch of surprise superstars, the scouting department has done a good job bringing in gifted yet undeveloped players in at the lower levels. Give their Rookie-level players a year to develop and we may have three or four of them high on this list next year.

I think you’ll find the top three players here to be the same three as most evaluators would say, though my order is a little different. As fun as Carson Fulmer is to watch, his delivery makes it harder to project the necessary improvements to reach his upside, so I actually think Spencer Adams and Tim Anderson have a brighter future. Adams is more potential than reality in some ways, but his athleticism and easy actions are too good not to see him fully progressing. It may be a year early for most to feel comfortable with Adams’ grades, but I’m going to trust the potential.

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2016 ZiPS Projections – Chicago White Sox

After having typically appeared in the very hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have been released at FanGraphs the past couple years. The exercise continues this offseason. Below are the projections for the Chicago White Sox. Szymborski can be found at ESPN and on Twitter at @DSzymborski.

Other Projections: Arizona / Atlanta / Baltimore / Boston / Chicago NL / Cincinnati / Cleveland / Detroit / Houston / Kansas City / Los Angeles NL / Minnesota / New York AL / New York NL / Philadelphia / Pittsburgh / St. Louis / San Diego / San Francisco / Seattle / Texas / Toronto / Washington.

Batters
White Sox batters produced the lowest collective WAR among all 30 teams in 2015, combining the worst park-adjusted offense in the majors (-108.1 runs below average overall) with also the worst defense (-60.3 runs below average). The result: a mere three wins above replacement level as a group.

That’s not to say there weren’t encouraging invidual contributions. Jose Abreu and Adam Eaton, for example, produced nearly eight wins between them. On the one hand, that’s a positive. On the other hand, what it reveals is that the rest of the roster provided less value than freely available talent might, in theory, supply. Gordon Beckham, Conor Gillaspie, and Mike Olt — who accounted for roughly two-thirds of the club’s third-base starts — recorded a -1.5 WAR between them. Emilio Bonifacio, Micah Johnson, and Carlos Sanchez — who made all but seven starts at second base — posted a collective -1.3 WAR. Those outputs quite possibly don’t represent the true talents of all those players, but they certainly had an adverse effect on Chicago’s win-loss record.

The advantage for a club which possesses glaring holes is that addressing those holes with merely serviceable replacements represents a considerable upgrade. If the newly acquired tandem of Todd Frazier (624 PA, 3.7 zWAR) and Brett Lawrie (509 PA, 1.8 zWAR) approximate their projections in 2016, they’ll conspire to produce a roughly eight-win improvement by themselves.

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Chris Sale’s One That Got Away

A pitcher, standing on the mound, peers in toward his catcher for a signal. It’s the first pitch of an at-bat. The catcher puts down a couple fingers, and the pitcher shakes him off once. He shakes him off twice. The pair agree on a pitch. The pitcher starts his windup, rears back, and fires. Miss. Ball one. A league-average batter now has a 37% chance of reaching base in this at-bat, just on the pitcher misfiring on his first offering alone. In an alternate universe, where the pitcher throws a strike, the batter’s chances of reaching are reduced to just 26%. Over the course of a full-length season, two identical batters with equal true-talent levels could bat 600 times each, and batter A, who starts out every at-bat with a ball, would reach 66 more times than batter B, who starts out every at-bat with a strike, the seperation being due entirely to the difference in count leverage.

We know count leverage is important, but its omnipresence makes it easy to undersell its magnitude. Someone’s always got the edge. The battle is winning it back. In the same vein, the other side of the battle is not losing it once you have it.

There’s no worse spot for a hitter to be than an 0-2 count. After falling behind 0-2, the league hit just .171 last year, with a .200 on-base percentage. It’s not any easier against Chris Sale. From a batter’s point of view, the words “easy” “against” and “Chris Sale” don’t mix well. Against Sale last year, batters were held to a .155/.169/.243 line after falling behind 0-2. Sale found himself with the advantage of an 0-2 count plenty of times — 231, to be exact. More than a quarter of Sale’s at-bats went directly to an 0-2 count. And from there, things only got worse for the hitter. Of those 231 counts that went straight to 0-2, Sale recorded a strikeout in 132 of them, with exactly one walk.

0-2 Counts Lost to Walks
Player 0-2 Counts Walks BB%
Chris Sale 231 1 0.4%
Julio Teheran 158 1 0.6%
David Price 238 2 0.8%
Cole Hamels 193 2 1.0%
Bartolo Colon 182 2 1.1%
Jason Hammel 161 2 1.2%
John Danks 158 2 1.3%
Danny Salazar 156 2 1.3%
Jimmy Nelson 156 2 1.3%
John Lackey 214 3 1.4%

Only one time last season did Chris Sale lose an 0-2 count to a walk. Julio Teheran lost just one as well, but in 73 fewer at-bats. And, sure, what David Price did is probably every bit as impressive as Sale, except singularity is fascinating. And fascinations are worth exploring.

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