Juan Nicasio: Ray Searage’s Newest Success?

In a spring-training game on Wednesday afternoon, Juan Nicasio struck out 10 Orioles. In fairness, everybody who pitched in the game for the Pirates struck out 10 Orioles, and I just struck out 10 Orioles while I was writing this sentence, but Nicasio is opening some eyes after what was a pretty quiet arrival in Pittsburgh. When he was brought in, the thought was he’d serve as a possible long reliever. Now there’s even talk about him starting.

It’s the middle of March, and Nicasio has racked up exactly zero regular-season innings, so it’s not like we know how this is going to play out. Pitchers open eyes in spring training all the time before coming apart when the games start to mean something. Nicasio, however, clearly has the stuff, and the narrative is building. After Wednesday, there’s a distinct feeling that Juan Nicasio is the Pirates’ latest pitching success story.

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Effectively Wild Episode 841: 2016 Season Preview Series: Toronto Blue Jays

Ben and Sam preview the Blue Jays’ season with Joshua Howsam of Baseball Prospectus Toronto, and George talks to Sportsnet columnist Shi Davidi (at 19:49).


KATOH Projects: New York Yankees Prospects

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

This afternoon, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the New York Yankees. In this companion piece, I look at that same New York farm system through the lens of my recently refined KATOH projection system. The Yankees have the 5th-best farm system in baseball according to KATOH, due in no small part to the system’s depth. As you can see below, the Yankees have a lot of prospects projected for one or two WAR.

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.

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Baseball Has a New Top Nerd

Over the last few years, there have been some players who have publicly acknowledged that they enjoy and use analytics to help themselves on the field. Zack Greinke, Brandon McCarthy, and Glen Perkins are some of the more notable players who have embraced nerd stats, and guys like Craig Breslow — with his molecular biophysics degree from Yale — buck the stereotype of the typical jock. But thanks to this great Travis Sawchik profile on Cole Figueroa, we might have a new contender for the title of King of the Ballplayer Nerds.

But he wasn’t interested in baseball analytics until he was traded to the pioneering Tampa Bay Rays in 2010, his third year in pro baseball.

“I said ‘OK, it’s important to them. Why isn’t it important to me?’” said Figueroa of analytics.

Figueroa said in the spring, in an auditorium setting, the Rays hold hitters’ meetings. He had never been in meetings like these. For example, Rays coaches spoke about evaluating the quality of hitter not by batting average but by batted ball exit velocity.

“Depending on who you were you could sleep through (the meetings), you could take exactly what they are giving you,” Figueroa said, “or you could expand upon it.”

Figueroa expanded.

“What can I do to become the most optimal player?” Figueroa asked himself. “What are my strengths? What are my weaknesses?”

Seeing the vast amount of data pouring into the game, and thinking about how to take advantage of it, he began to teach himself code, ‘R,’ or programming language.

He spent hours at Coursera.org — the Web site reassures a new visitor one can “Code Yourself!” — where there are step-by-step instructions in learning how to code and program.

With his nascent coding skills, he began to research and refine data given to him by the Rays, though the Rays kept much of their data off limits from their proprietary database.

He created models to understand how a player with his skills would age. He studied players with similar physical and statistical profiles. He studied what skills would age well, which would age poorly. In three consecutive seasons in Triple-A, he improved his on-base percentage.

“People think coding is some foreign language … in a sense where it’s only something really intelligent people can do,” Figueroa said. “And it’s really totally the opposite. Anyone can code.”

The whole thing is a great read, and even includes Figueroa giving hitting instruction to a teammate based on things he’d read from Alan Nathan, but the fact that Figueroa is writing his own code puts him on another level. I’d imagine that even if he doesn’t end up having a particularly great career on the field, every team in baseball has probably already penciled Figueroa’s name down for a potential front office or coaching job.


KATOH Projects: Arizona Diamondbacks 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)

Way back in November, before I had finished tweaking my KATOH model, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Arizona Diamondbacks. In this companion piece, I finally get around to looking at that same Arizona farm system through the lens of my recently refined KATOH projection system. The Diamondbacks have the 21st best farm system according to KATOH.

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. Read the rest of this entry »


Evaluating the 2016 Prospects: New York Yankees

EVALUATING THE PROSPECTS 2016
Angels
Astros
Athletics
Blue Jays
Braves
Brewers
Cardinals
Cubs
Diamondbacks
Dodgers
Giants
Indians
Mariners
Marlins
Mets
Nationals
Orioles
Padres
Phillies
Pirates
Rangers
Rays
Red Sox
Reds
Rockies
Royals
Tigers
Twins
White Sox
Yankees

The Yankees have enviable depth at multiple positions, though it’s their bullpen options that seem to continually be a strength for them each year. This particular group is full of many of them, to the point where it seems the Yankees have an affinity for pitchers with unique deliveries and arm actions. Besides Jorge Mateo being the consensus top prospect, there is a bit more risk in their collection of 50+ FV players than most organizations have, but they make up for any uncertainty with quantity of upside prospects from the next tiers. Perhaps the only real surprise ranking here is Domingo Acevedo taking the number two spot, though he seems to sit comfortably in the top 10 by most people’s standards. His combination of velocity, athleticism and control at a young age was too interesting to rank further down the list.

You’ll notice that many of the Yankees’ recent international signings are found in the Quick Hits section, with the exception of Wilkerman Garcia, Leonardo Molina and Hyo Jun Park. These three represent the prospects I feel have the best chance out of the gate to reach the major leagues, though that doesn’t mean they necessarily have the highest ceilings. Others like Dermis Garcia, Miguel Flames, Juan De Leon and Nelson Gomez all have sizable raw potential, but in terms of 50th percentile outcomes, they are a little too far away to count on just yet. Another year of professional competition will give us the information we need about their physical development and translation to skills.

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Dave Cameron FanGraphs Chat – 3/16/16

12:00
Dave Cameron: Happy Wednesday. Let’s do this.

12:01
JCNY: Am I crazy to think Adam Wainwright could still be a Top 12 starter this year? His ’14 was fantastic and he had basically a whole year without wear on his arm. He’s not young, and he’s coming off a major lower body injury, but still…

12:01
Dave Cameron: Your body still ages even if you’re not pitching. With all the great young arms in the game now, it’s hard for me to see Wainwright cracking the top dozen pitchers.

12:01
Hooha: If Trout got hurt (god-forbid), would the Angels be the worst team in baseball?

12:02
Dave Cameron: Not even close. Have you seen the Phillies?

12:02
Outta my way, Gyorkass: Leaving out mediocre teams who are trying to contend but probably should not be (sorry, Marlins, Rockies, Orioles, etc.), which true NL contender holds the highest probability of utter collapse this season? How about the in AL?

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2016 Offensive Projections Visualization

As we move closer to April 3, our Depth Charts have a better estimates for roster composition and playing time for the upcoming season. The Depth Charts use a blend of ZiPS and Steamer projections, which adjusts for playing time and calculates many of the stats we host on FanGraphs. Last year, I made a modified box plot which compares the teams by showing their distribution of players using their offensive stats and playing time. I’ve improved upon the concept slightly by adding more stats: OPS, wOBA, wRC+, K%, BB%, AVG, WAR. All these projections come from the same data the teams’ Depth Chart pages are built on.

In the plot below each player is represented by a green circle, whose area is proportional to the number of plate appearances the player is expected to have over the course of the season. The players are grouped by their teams, which have team stats represented by yellow lines. This represents the what the team AVG, wRC+, wOBA, OPS, etc. are. (Differing from traditional box plots, these marks do not represent the median of the data points.) The gray box representing the middle 50% of players on the roster. The box gives you an idea of the roster composition. Teams with a few star or elite players will skew the team stat higher than a team with a more balanced roster.

The visualization is interactive with tooltips when hovering over a player’s dot. Clicking a player’s dot will take you to his player stat page. The data will be current to when you load the page up until the day before Opening Day (4/2/2016).
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Francisco Lindor: Stop Bunting

It’s hard to find a flaw within Francisco Lindor’s 2015 rookie season. The numbers say he was a top-five defensive shortstop in baseball; the eye test agrees. He had one of the best offensive debuts by a shortstop on record, combining plus on-base skills with surprising power. He even patched up his weak link from the minor leagues — baserunning efficiency — by stealing 12 bases in 14 attempts at the major league level. Adjusting for playing time, Lindor was one of the 10 most valuable players in baseball last season, using our WAR figure here on the site.

Lindor was excellent across the board, but he wasn’t the best at anything. He wasn’t the very best defender, but he was close. He wasn’t the very best hitting rookie shortstop of all time, but he was close. He wasn’t the very best baserunner, or the number one most valuable player on a per-plate appearance basis, but he was close. There was one leaderboard though, where you can find Lindor at the top, and, coincidentally, it’s also where you can find Lindor’s only real blemish.

Francisco Lindor, in the midst of one of the greatest offensive seasons by a rookie shortstop in history, led all of baseball in sacrifice bunts, with 13, despite playing in fewer than 100 games.

By this point, I don’t think anyone needs too big a primer on sacrifice bunting. It’s certainly got its place as a valuable tool — late-inning, need one run, man on first, no outs, weak and/or slow hitter at the plate, move him over. But there’s a reason sacrifice bunts are on a 90-year decline — because they’re very rarely a wise play, and the more information teams have gained over time, the more that’s become obvious.

Let Indians manager Terry Francona explain:

Screen Shot 2016-03-16 at 9.24.17 AM

Outs are valuable, they’re finite, and sacrifice bunts give them away with limited reward. Got it. Everyone understands this. Lindor’s manager understands this. So then, what was going on?

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That Month Joey Votto Tried Something Completely Different

We were talking about something unrelated, so when Joey Votto slipped this quote in, I laughed out loud. You?! Joey Votto? You did what? Listening back to it even made me giggle again.

“I tried to do a lot of pull hitting early in the season and it was an error,” he said, but my mind could barely comprehend in real time. “It was a mistake,” he admitted before I could point out that it was completely out of character.

So why did he try it? “It was me trying to hit more homers. I thought I’d get easy homers.” After the laughter came a sort of stunned silence. The idea that Votto, who has preached going up the middle to himself and the games’ biggest stars for as long as he’s been great, tried to pull a few cheapies into the seats last year was a bit stunning.

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