Sunday Notes: Porcello’s Spin, Korea’s Park, Nava, Hockey, more

In my January 31 column, I noted that Rick Porcello has one of the highest four-seam spin rates in the game. Given his increased usage over the past two years, I theorized that he began throwing the pitch more often for that very reason.

It turns out I was wrong.

“When I started using my four-seam more in Detroit (in 2014), it was just a different fastball to give them a different look,” Porcello said in Fort Myers. “I didn’t know anything about spin rate until I was told about it last year.”

Regardless of the reason, the pitch wasn’t a panacea. A plethora of mis-located fours helped contribute to a tumultuous 2015. In his first season with the Red Sox, Porcello allowed 196 hits in 172 innings, and his ERA was an unsightly 4.92.

His signature pitch was equally to blame.

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The Best of FanGraphs: March 7-11, 2016

Each week, we publish north of 100 posts on our various blogs. With this post, we hope to highlight 10 to 15 of them. You can read more on it here. The links below are color coded — green for FanGraphs, brown for RotoGraphs, dark red for The Hardball Times, orange for TechGraphs and blue for Community Research.
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The Orioles and a Reminder About Spring-Training Records

There’s a lot to like about spring training. Hey, it’s baseball! Sort of. Games end in ties, Will Ferrell gets to play all the positions. That’s fun. Also, there’s a lot not to be thrilled about during spring training. Games end in ties! And games don’t actually count.

Although, if you’re a fan of the Cubs, Pirates, and especially the Orioles, you’re probably happy about that last point so far this March. Those teams are a combined 3-23 in spring-training play. Fortunately, we’re just finishing the first full week of baseball games, just getting our first real look at starting rotations, and many teams (like Baltimore, with their 0-9 record) have been marching out many unrecognizable and/or split-squad rosters (which would at least partly explain the zero in the wins column). But what does spring training mean for the season ahead? Can we really glean anything from March performance, especially team-wide? It’s good to remind ourselves of what this means.

We’re mainly going to be looking at the very obvious: how do team win-loss records correlate between spring training and the regular season? Is there any sort of relationship between terrible March teams and terrible regular-season teams, or vice versa with good teams? Take a look at a plot of the spring training and regular season records of all teams between 2006-2015 — and feel free to mouse over the chart:

This chart is all over the place: lose more games than you win in spring training? Doesn’t mean you’re going to do so during the regular season. Win more than you lose? Doesn’t mean you’ll be successful. A month of games in March is the same as a month of games at any other point during the season — a relatively small sample, prone to all the pitfalls we see in any other small sample. If we tried to glean something from this 10-year sample, there are examples warning us not to be woefully awful in spring training. If a team covers that — finishing above .300 — our data provides evidence that the team probably won’t be unrecognizably terrible. Then again, we simply don’t see teams lose more than ~110 games very often during a regular season, whereas finishing with a winning percentage that low is doable in one month of baseball.

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The Top College Players by (Maybe) Predictive Stats

On multiple occasions last year, the author published a statistical report designed to serve as a mostly responsible shorthand for people who, like the author, possess more enthusiasm for collegiate baseball than expert knowledge of it. Those reports integrated concepts central to much of the analysis found at FanGraphs — regarding sample size and regression, for example — to provide something not unlike a “true talent” leaderboard for hitters and pitchers in select conferences.

Two weeks ago, I published the first such report for the 2016 college campaign; last week, the second one. What follows represents the third installment of a possibly infinite series.

As in the original edition of this same thing, what I’ve done here is to utilize principles introduced by Chris Mitchell on forecasting future major-league performance with minor-league stats.

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KATOH Projects: Los Angeles Dodgers Prospects

Previous editions: Baltimore / Boston / Chicago AL / Chicago NL / Cincinnati  / Cleveland / Colorado / Detroit / Houston / Kansas City / Los Angeles (AL) / Miami / Minnesota / Milwaukee / New York (NL)

Yesterday, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Los Angeles Dodgers. In this companion piece, I look at that same LA farm system through the lens of my recently refined KATOH projection system. The Dodgers have the third best farm system according to KATOH, trailing only the Brewers and Astros. They have the most projected pitching WAR and the most WAR coming from 3.5+ WAR players.

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. Corey Seager, SS (Profile)

KATOH Projection: 12.3 WAR
Dan’s Grade: 65 FV

Seager showed what he’s capable of last September when he slashed .337/.425/.561 with the Dodgers. Prior to that, he hit a strong .278/.332/.451 in Triple-A. Seager’s 2015 numbers weren’t particularly gaudy, but he did manage to cut down on his strikeout rate, which was previously the one flaw in an otherwise promising stat line. Shortstops who hit that well at such a young age are few and far between. That’s why Seager has the chance to be a special player.

Corey Seager’s Mahalanobis Comps
Rank Name Proj. WAR Actual WAR
1 Chipper Jones 14.9 33.3
2 Aramis Ramirez 14.4 17.1
3 D’Angelo Jimenez 11.5 7.4
4 Omar Infante 13.2 6.5
5 Jimmy Rollins 12.0 25.6
6 B.J. Upton 16.8 22.4
7 Derek Jeter 11.8 32.9
8 Dustin Pedroia 8.7 30.1
9 Jose Offerman 12.9 7.3
10 Andy Marte 9.3 0.3

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Jeff Sullivan FanGraphs Chat — 3/11/16

9:06
Jeff Sullivan: Hello friends

9:06
Jeff Sullivan: Welcome to live Friday baseball chat

9:07
Jeff Sullivan: Brought to you this time from a friend’s house where I’m observing someone while he recovers from surgery. Hopefully he doesn’t clot while I’m talking about Pedro Alvarez or something

9:08
Jeff Sullivan: If I disappear for a little while it’s probably because of a medical emergency!

9:08
Tony G.: Hey Jeff. Hope all is well. Who do you expect to be the Astros’ Opening Day 1B?

9:08
Jeff Sullivan: Singleton, still. I don’t expect that to last more than a month or two

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Seven Observations from Hyun-soo Kim’s Big, Fat Goose Egg

The first thing to consider when we think about Hyun-soo Kim’s hitless, OBP-less first 23 at-bats is that it’s 23 at-bats, and it’s Spring Training. Not that everyone hasn’t been considering this all along, but it’s always worth a reminder. Jose Bautista had an 0-for-25 run last year, and those were in games that count, and that wasn’t his first time ever facing major league pitching. It happens. Sometimes, it even happens to the best of them.

Yet, it’s still fair to wonder on this a bit, because this is the first we’ve seen of Kim, meaning it’s all we’ve seen of Kim, and it’s not like dudes are running 0-fers over 23 at-bats all the time — it would’ve been the 12th-longest hitless streak of last year, and the third-longest streak of not having reached base. This was a notable stretch of futility, Spring Training notwithstanding. The past tense being used here, of course, because Kim has snapped the streak. He reached base for the first time this spring after being hit by pitch on Thursday, and later got his first hit — a bases-loaded, RBI single off a Yankees reliever named James Pazos.

Through 25 plate appearances, Kim’s spring slash line is now .042/.080/.042. The hit is the new story, but we can learn more about Kim through the 23 outs. Let’s see.

* * *

Kim observation No. 1: Not all of this is on video

This one actually serves as a double-observation, with the latter half being a reminder that really, none of this too much matters. Proof of that being, not all of it is even televised. It’s 2016. If something matters, you can sit on your couch in your underwear and watch it on television. You can watch plenty that assuredly doesn’t matter, too, so it says something about those events which are consciously not televised. The first few games of Baltimore’s Spring Training weren’t televised, and neither was a select game in the middle. The rest were, though, and I watched 13 of Kim’s 24 hitless plate appearances and took some notes.

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Trevor May on his (Cerebral) Approach to Pitching

Trevor May is a thinking man’s pitcher. He’s also a strikeout pitcher, which is something Minnesota has lacked for several seasons. Where he will deploy those traits — the rotation or the bullpen — is one of the biggest questions in Twins camp.

A starter by trade, May moved into a relief role last July. It was a switch dictated more by circumstance than performance, and the 26-year-old right-hander is hoping to once again assume an every-five-days work schedule. Based on his thought-process and his repertoire, it’s where he feels he’s best suited.

Originally drafted by Philadelphia, May came to Minnesota in December 2012, along with Vance Worley, in exchange for Ben Revere. His 2014 10-game cameo was rocky, but he was solid last year in his dual-role. In 48 appearances — 16 starts and 32 relief appearances — he logged a 3.25 FIP and a 8.93 K/9.

May talked about his continued development, and the cerebral approach he brings to the mound, last week in Fort Myers.

———

Trevor May on his pitching philosophy: “I have a specific philosophy. I try to make it a step-by-step process with every pitch. There are three things you do every time you throw the ball. Read the rest of this entry »


Tennessee’s Nick Senzel Among 2016 Draft’s Top Bats

Infielder Nick Senzel has been an impact player for Tennessee ever since he arrived in Knoxville, but his draft stock took a major jump forward last summer when he was named MVP of the Cape Cod League and positioned himself as a first-round candidate heading into the spring.

He’s built on his momentum in his first 12 games this season, hitting .396/.500/.521 while answering some questions about his glove and where he’ll play at the next level. I caught Senzel when the Volunteers visited East Carolina in Greenville, N.C., as part of the 13th Annual Keith LeClair Classic last weekend. The video below starts with his pre-game batting practice in ECU’s indoor cages, then moves to pre-game infield and concludes with his first three at-bats from the game.

Physical Description

Listed at 6-foot-1, 205 pounds, Senzel has a muscular, pro build that looks about five to 10 pounds denser. He’s barrel-chested with broad shoulders and, in general, well developed and proportioned. Though he won’t get much stronger than he already is, you probably don’t want him to, either, as added mass would just limit his flexibility and medium-twitch athleticism.

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What Type of Baseball Dork Are You?

This isn’t going to be one of those online quizzes where you answer a few questions and then some script determines what you are based on your feedback. This is a quiz where you answer one question, a question you might never have been asked before. Maybe you’re going to learn something about yourself. We’re all put here to learn about ourselves.

It should go without saying that, for the most part, FanGraphs is selective for baseball dorks. Sure, casual fans find themselves here from time to time, but mostly, we cater to people who just want to think about baseball in between all of the baseball. That requires a certain intensity, a certain passion for the material, and it’s why we’re sometimes able to write about such complicated subjects without constantly stopping to explain ourselves. The audience is smart, and all of us are dorks.

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