Archive for March, 2017

Travis Sawchik FanGraphs Chat

12:01
Travis Sawchik: Howdy

12:01
Travis Sawchik: Let’s chat …

12:01
Mariner Moose: Any chance the WBC will be broadcast on network TV in the future?

12:03
Travis Sawchik: The chances have perhaps increased with the ratings increase this go-around. I think if nothing else the WBC has shown us it deserves to continue to exist. Lots of compelling stuff happening on the field. And apparently its something like a national holiday/festival in Japan. … I still think the WBC deserves a new place on the calendar as conflicting with the first weekend of the NCAA Tournament isn’t a great place to reside as a sporting event

12:04
Sravis Tawchik: Bullish or bearish on Strasburg this season?

12:06
Travis Sawchik: Lots of people seem down on Strasburg. Part of that is he’s not a good bet to reach 200 innings. Part of it is the expectations he will always have to deal with given his prospect pedigree. But few pitchers are better bets to give 150 ace-quality innings. For me, I’d value him like a right-handed Rich Hill. So what I’m saying is, I like him quite a bit.

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Top 18 Prospects: Baltimore Orioles

Below is an analysis of the prospects in the Baltimore Orioles farm system. Scouting reports are compiled with information provided by industry sources as well as from my own observations. The KATOH statistical projections, probable-outcome graphs, and (further down) Mahalanobis comps have been provided by Chris Mitchell. For more information on the 20-80 scouting scale by which all of my prospect content is governed you can click here. For further explanation of the merits and drawbacks of Future Value, read this. -Eric Longenhagen

The KATOH projection system uses minor-league data and Baseball America prospect rankings to forecast future performance in the major leagues. For each player, KATOH produces a WAR forecast for his first six years in the major leagues. There are drawbacks to scouting the stat line, so take these projections with a grain of salt. Due to their purely objective nature, the projections here can be useful in identifying prospects who might be overlooked or overrated. Due to sample-size concerns, only players with at least 200 minor-league plate appearances or batters faced last season have received projections. -Chris Mitchell

Other Lists
NL West (ARI, COL, LAD, SD, SF)
AL Central (CHW, CLE, DET, KC, MIN)
NL Central (CHC, CIN, PIT, MIL, StL)
NL East (ATL, MIA, NYM, PHI, WAS)
AL East (BAL, BOSNYY, TB, TOR)

Orioles Top Prospects
Rk Name Age Highest Level Position ETA FV
1 Chance Sisco 22 AAA C 2018 50
2 Cody Sedlock 21 A- RHP 2019 45
3 Ryan Mountcastle 20 A LF 2019 45
4 Keegan Akin 21 A- LHP 2020 45
5 Trey Mancini 24 MLB 1B 2017 45
6 Hunter Harvey 22 A RHP 2020 40
7 Gabriel Ynoa 23 MLB RHP 2017 40
8 Austin Hays 21 A- OF 2020 40
9 Jomar Reyes 20 A+ 3B 2020 40
10 Anthony Santander 22 A+ 1B/OF 2018 40
11 Ofelky Peralta 19 A RHP 2020 40
12 Matthias Dietz 21 A- RHP 2020 40
13 Chris Lee 24 AA LHP 2017 40
14 Jesus Liranzo 22 AA RHP 2017 40
15 Aneury Tavarez 24 AAA OF 2017 40
16 Garrett Cleavinger 22 A+ LHP 2018 40
17 Cedric Mullins 22 A OF 2020 40
18 Tanner Scott 22 AA LHP 2019 40

50 FV Prospects

Drafted: 2nd Round, 2013 from Santiago HS (CA)
Age 22 Height 6’2 Weight 193 Bat/Throw L/R
Tool Grades (Present/Future)
Hit Raw Power Game Power Run Fielding Throw
50/55 50/50 40/45 30/30 45/50 40/40

Relevant/Interesting Metrics
Slashed .320/.406/.422 at Double-A in 2016.

Scouting Report
While this series has often extolled the virtues of loud tools, the best aspects of Sisco’s game are ensconced in quiet. This is most important defensively, where Sisco has improved to the point of viability. Balls in the dirt are sputtering off of Sisco’s catching gear with less force, and his receiving has become more still and refined. Scouts now consider Sisco, who didn’t start catching until his senior year of high school in 2013, a viable defensive backstop. Nobody is particularly excited about him back there, but he’s okay right now and should improve into his mid-20s as he continuously makes good use of his above-average athleticism and refines his skills. In fact, scouts consider Sisco athletic enough that, were something to occur that requires him to move out from behind the plate, he might be able to play somewhere other than first base/DH, which is often the value-crushing alternative for unsound defensive catchers.

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2017 Positional Power Rankings: Introduction

With two weeks left until Opening Day, it’s time for the annual FanGraphs season preview series, which we do a little differently around here. While plenty of other talented writers and publications put out previews by team or by division, we prefer to go position by position, which lets us cover pretty much every roster spot on every team in baseball. While traditional team previews focus mostly on the top end of a roster, the difference in making the postseason is often how well the end of the roster performs, and how much value teams get from their non-stars. By breaking down every position from 1 to 30, we can emphasize where every team looks strong — or a little less so — heading into the season.

The rankings themselves are based on the forecasted depth charts we host here on FanGraphs, which combine projections for rate stats from ZIPS and Steamer with manually curated playing-time forecasts. While forecasting systems have been shown to do better than most humans at forecasting production, humans win out when it comes to allocating playing time, so our depth charts try and leverage the best of both worlds. Of course, no projection system is perfect, and humans are prone to errors, so we don’t think these forecasts should be taken as gospel, but they do give you a good overview of what our site thinks about each team’s expected production at this point in the season.

Certainly, things will change between now and October. Players get hurt, prospects come up and make an unexpected splash, guys change their swings and become entirely different hitters overnight; the final season rankings by position won’t look exactly like these forecasts. That’s one of the things that is great about baseball.

But in general, there’s an upper limit to how many things can break right for a team in a given season. If your favorite team consistently ranks at or near the bottom of all these positional breakdowns, it’s probably fair to assume that they’re not going to win a lot of games this year.

One of the other benefits of doing our previews by position is that we can compare job-shares against full-time players, noting where a platoon might be more effective than a traditional everyday player even though both players in the platoon have obvious flaws. For corner outfield, first base, and designated hitter — where platoons are most common — the ability to look at the expected production from everyone who is allocated playing time at that spot helps give a better view of a team’s strength than simply looking at a team’s starters and bench separately.

That said, doing the posts by position also means that you might see some things that appear a little weird on the surface. For instance, the Cubs willingness to shift players around means that we’re projecting guys like Kris Bryant, Ben Zobrist, and Javier Baez to split their time between multiple positions, and thus, their overall value won’t show up entirely in any one of these posts. If you see a guy who plays several positions, and you think his forecast at one of those spots seems low, check the post for the other positions he plays; it’s probably being accounted for over there.

Additionally, because we only keep one overall value for projected fielding performance, players who play multiple positions will be displayed with the same FLD forecast at every position, even though a guy who splits time between shortstop and second base will probably run better defensive numbers at second base. The FLD projection includes the split in playing time, so the player’s overall forecasted value is correct, but just a heads up that you might see some odd FLD numbers for guys who bounce around.

Finally, let’s get the annual disclaimer out of the way: we don’t game these numbers at all to get any kind of desired result. The authors who are writing the content for each team’s summary don’t get to move teams around based on their own personal preference, and we’re not rigging the forecasts in the background to make sure that certain teams look better than the others. The results are simply the output of the ZIPS/Steamer forecasts and our playing time projections. If your team’s shortstops are ranked 14th and you think they should be ranked 8th, it’s not because we hate your team. This is just what the forecasts think in mid-March.

And really, for many of these positions, ordinal ranking is the wrong number to look at anyway. Often times, the differences between a dozen teams in the middle is a fraction of a forecasted WAR, and everyone within that tier should be considered on mostly even ground, even if one ranks 8th and the other 19th. We’ll include a graphical display of the overall team values at the top of each post, and it’s probably more helpful to look at which tier a team ranks in rather than the specific spot on the list. There are going to be lists where No. 2 and No. 3 aren’t anywhere near each other, while Nos. 3 and 12 are mostly interchangeable.

So, don’t freak out overall a particular ranking, especially if you could just change the number after decimal and a team would go up or down 10 spots. And really, it’s probably better to not freak out in general; your team is going to do whatever they’re going to do, regardless of our preseason projections, and all we’re attempting to provide is a realistic preseason baseline. But there’s enough variance in baseball that most teams, even the ones that don’t look great in March, could be playing meaningful baseball in September.

If you want to review last year’s forecasts while you’re waiting for the series to start — the catcher post will kick off the series in a few hours — then you can peruse each post from the helpful widget that Sean Dolinar created to link the posts together. That widget will make it easier for you to bounce from post to post as they go up. And if you’re just looking for something fun to look at, go check out the graph on last year’s center-fielder post, and then prepare yourself for an even more ridiculous center-field graph this year.

We’ll run through the position players this week and tackle pitchers next week, and wrap up the series with an overview of where everyone stands a few days before the 2017 season officially kicks off. We hope you enjoy these posts, since they are a mountain of work for our writers, and they help you get a better feel for where every team stands heading into the year.


Sunday Notes: Melvin’s Dialogue, Cecchini’s Failed Launch, Hickey, Hill, more

Bob Melvin is up to date on advanced stats and baseball’s technological advancements. As the manager of the Oakland A’s, he has to be. The game’s original Moneyball club is in much the same position they were when Kevin Youkilis was being dubbed “The Greek God of Walks” — monetarily challenged, they need to be as progressive as possible to compete.

When it comes to communicating ideas with his players, Melvin is careful not to introduce sensory overload. After all, not everyone on the roster is a Brandon McCarthy or a Jed Lowrie.

“It’s our job, as a staff, to be able to reach the players who want this type of information,” said Melvin. “Some can handle it, while for others it might be a distraction. Certain guys need information in layman’s terms. You have to take the principles and present them in a language they can grasp, because when you’re in a game, you can’t have too much clutter in the your brain.

“We’re a cutting edge organization that is always looking for advantages. With things like exit velocities and spin rates… we hire people to look at that. The people above me — David (Forst) and Billy (Beane) and these guys — do a good job of helping spoon-feed it down to the people we feel can handle it, and benefit by it.”

According to Melvin, more than aptitude is at play. Read the rest of this entry »


The Best of FanGraphs: March 13-17, 2017

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 and blue for Community Research.
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Sean Burnett Tried to Break UCL, Is Trying Now to Blaze Trail

TAMPA, Fla. – Most pitchers try to avoid having Tommy John surgery at all. Sean Burnett wanted it a second time.

The former Pirates first-round pick went to see Dr. James Andrews again after he dealt with elbow pain early in 2013, nearly 10 years after the first surgery on his left elbow. Said Burnett to Ryan Lawrence of PhillyVoice:

“They went in to fix the flexor tendon and Dr. Andrews said it was the ligament. It wasn’t torn, but it was completely stretched out and looked pretty beat up. It was 10-years old (from the first surgery). He wasn’t going fix it, hoping that the surgery for the flexor issue would do something, but the first day I threw after four months I knew it was still a problem.”

Burnett knew his left UCL wasn’t right so he did something you hear few, if any, pitchers attempting to accomplish: he tried to tear it. He went back to the Legacy Golf Club room at which he was staying while rehabbing in Tempe, Arizona, stacked pillows up against his bed’s headboard, and started throwing baseballs with as much violence and velocity as he could into them. I asked Burnett about this bizarre strategy earlier this week.

“I needed to pop it until he would fix it, so I tried to pop it in the hotel room each night,” Burnett said. “It didn’t work but maybe it sped up the process a little bit.”

Did he disturb any neighbors?

“I don’t throw hard enough,” Burnett said. “I had enough pillows up there.”

In May of 2013, Burnett “finally” felt his ligament “pop” in an outing against Seattle.

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The Best One-Two Punch in Baseball

Mike Trout plus almost anybody else seems like a fair answer to the question of which team has the best 1-2 punch in baseball. I probably wouldn’t fault anyone who was willing to trade their best two players for just one Mike Trout, even if it was just for this season. Looking at the question a little more objectively, however — with this year’s projections — reveals that Mike Trout plus nobody would rank (a) in the top half of major-league teams’ best duos, but also (b) nowhere near the top. Also Trout doesn’t play with nobody, as the Angels have a few other decent players and might contend for a playoff spot if things break right.

As for the best one-two combo in terms of combined WAR, a reasonable person could make a few other reasonable guesses. Kris Bryant and Anthony Rizzo form an impressive pair. Mookie Betts and Chris Sale are fantastic for the Red Sox. And then there’s Bryce Harper and Max Scherzer, Madison Bumgarner and Buster Posey, Jose Altuve and Carlos Correa. All of those are good guesses, but it’s actually the Dodgers who occupy the top spot, with Clayton Kershaw and Corey Seager barely edging Mike Trout and the still very good Andrelton Simmons.

As great as Mike Trout is, Clayton Kershaw’s 7.4 projected WAR is less than a win from Trout’s 8.2. While the Angels’ shortstop has a good 3.4 projected WAR, Corey Seager’s 4.5 WAR makes up for the difference between Kershaw and Trout.

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Let’s Build a Searchable Baseball-Text Archive

Baseball provides its audience with great data. We’re blessed with a large number of observations and very high-quality record keeping. Even before MLB announced a radar and video tracking system designed to capture seven terabytes of data per game, we had box scores going back a century and 40 years of play-by-play logs. Thanks to organizations like Retrosheet, SABR, and Baseball-Reference, baseball’s data is also very accessible.

Unsurprisingly, baseball fans are excited about the full implementation of Statcast because the system brings with it the promise of new and exciting data. Exit velocity! Time to the plate! Route tracking! While I share some of that excitement, Statcast has my attention because of something else it promises to offer: completeness.

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Dan Szymborski FanGraphs Chat – 3/17/17

1:59
Dan Szymborski: OK, let’s get the party going.

2:00
bl27: walk issue will be a problem for Blake Snell ? Similar to Edinson Volquez early in his career

2:01
Dan Szymborski: Given his minor league walk rates, I expect it to be his weakness.

2:01
DEF: Wait, today is only Wednesday? This week is really dragging.

2:01
Dan Szymborski: FRIDAY

2:02
Dr Morris: What do the D-backs know about Mitch Haniger that the rest of the world (and the world’s projection systems) don’t? On paper he’s at least an average-plus RF and he’s murdering the ball in ST.

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Adam Eaton’s Defensive Numbers Keep Getting Even Crazier

In 2017, I am probably more interested in Adam Eaton than I am any other player in baseball. As the centerpiece of a controversial blockbuster, coming off a monster season where a lot of his value was tied a huge swing in his defensive value, Eaton was always going to be a fascinating experiment for paying a perceived premium price for outfield defense. But it gets even more interesting, because the Nationals are switching him from right field back to center field, so we throw a position switch in the mix as well, and get another data point on whether his weird splits between RF and CF actually mean anything.

So when the MLBAM guys released their outfield catch probability leaderboard last weekend, Eaton was naturally one of the first players to examine. And when Jeff took an early look at the published 2015-2016 data, he found that Eaton ranked seventh in Catch+, or whatever we might want to call plays made above the averages of the buckets they had opportunities in. And when he looked at the catch data relative to the range portions of UZR and DRS, he actually found that the Statcast data showed that Eaton had the largest positive difference, suggesting that, by hang time and distance traveled variables, Eaton may have been even better defensively than the public defensive metrics thought.

So yeah, Eaton is really interesting. But the more I dig into Eaton’s defensive data, the more remarkable it all gets.

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