Rays traded Logan Forsythe to the Dodgers for Jose De Leon

After looking over several factors (e.g. league, park, etc.), the biggest change for Forsythe will be the players surrounding him and his lineup position. Currently, we have the Dodgers projected for 4.6 Runs per games while the Rays are at 4.3 Runs per game. A better offense equates to more plate appearances, Runs, and RBIs.

My one worry is lineup position. In the games he started last year, he always led off. Right now, RosterResource.com has him again leading off. If he struggles, the Dodgers have better lineup replacement options than the Rays did. His value could plummet if moves down, especially to the eighth spot.

As for De Leon’s value, the key will be how many innings he throws. With the Rays not really contending this season, he could spend quite a bit of time in the minors or be up in a couple of weeks. No one knows for sure.

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Just yesterday, I mentioned I was happy to get Michael Pineda in the 19th round in Lindy’s mock draft. I am not a believer he can quit getting hit around so hard and therefore lower his ERA near his FIP. I do though want the pitcher with a +9 K/9 and a walk rate under 3 BB/9.

Using NFBC average draft position data, Pineda’s is getting picked as the 230th player off the board but he has gone as early as 184th. A spread of 46 picks is about three to four rounds depending on league size. I created a simple spreadsheet to help an owner know the chances a player is still available at each of their picks thereby knowing when to wait on a player or immediately pick them up.

Merging an owner’s personal projections and the current ADP is probably one of the most important processes in a preparing for a draft. It takes some time (which I understand not everyone has) but it can give an owner a nice leg up on competition. These owners understand when they can get 5th round values in the 12th round.

In past articles, I demonstrated how to go through each round and use ADP to see which players may or may not be available. I would sort of gamble on when a player may go using the earliest and average pick. By setting up a spreadsheet to calculate the normal distribution using the draft pick data from NFBC.

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Quote of the day

“People tell me that, and I’m like, ‘Shut up.’ ” –Trea Turner when asked why he hits so many home runs and doesn’t bunt more.

Quick (Long) Look at Matt Andriese

Andriese intrigues me as a potential sleeper. Historically, he has never been a highly rated prospect when he was a third-round pick out of Clemson. Baseball America ranked him at the Padres 20th rated prospect (50 overall grade) in 2013 and in 2014 he was 15th in their system (50 grade again). Then the Rays traded for him where he fell off the prospect map. From his old Baseball America profiles, he was working on several pitches but nothing stood out. When Kiley McDaniel graded him in 2015, he graded him with future 45’s to 55’s but put his overall grade at 40. No one extolled his virtues when he was finally called up to the majors.

I first noticed him when his 3.30 pERA (ERA based on each pitch’s results) was quite a bit lower than his 4.37 ERA. The per pitch grade had him with a plus change (60 grade), average fastball and curve (50 grade), and below average cutter/slider (45 grade). Additionally, he showed plus-plus control with his 1.8 BB/9 which when combined with his pitch grades put him as a 55-grade (above average) pitcher. Examining his 2015 season, his pitches were graded the same except he was throwing a below average two-seamer and didn’t have as much control.

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Last year, Tout Wars was nice enough to allow me to join their Head-to-Head league which I preceded to barely win. I just got informed that I will not be in this league anymore. Instead, I was upgraded and will join fellow RotoGraphs author, Al Melchior in the 15-team mixed auction league. Previously I’ve stepped through my preparation process for these industry leagues but this year I can’t. We are picking our player in New York City right before the season starts on March 25^th.  Besides Tout Wars, most local leagues will be drafting this weekend just before Opening Day. Anything I write about my procedure leading up the auction will be useless. Instead, I will write about my preparation over the next two months leading up to the auction.

Unlikely last year, this year’s preparation focuses on an established league with the same good owners. It will be a different animal to conquer than last year the league with some unique rules (H2H and Roto), which I exploited as much as I could. The new league is different in that it has been very constant.  Many of the same owners stay around for years and it has few if any rule changes. I will first begin my prep by breaking down the other information from past auctions.

Note: I know reading about another person’s team is unexciting and some information might be not applicable. I’ve added “Key Points” to summarize how the procedure can help individual owners in their own leagues.

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This season, I was lucky enough for a couple print publications, Lindy’s and The Fantasy Baseball Guide, asked me to contribute their fantasy preview magazines.  While the quality of both magazines is top notch, print publications have limited room for explanations and no ability for back-and-forth discussions. Today, I am going to go over my contributions which I feel could use more explanation and will answer any questions on my thought process.

Lindy’s

For Lindy’s, I participated in their 12-team mock draft ( standard team except 1 C, 4 OF, 8P) and I picked out of the 3rd position. Here is my team

Position – Name (Round Drafted)
C – Buster Posey (3)
1B – Hanley Ramirez (7)
2B – Rougned Odor (2)
3B – Adrian Beltre (4)
SS – Marcus Semien (12)
MI – Jung Ho Kang (17)
CI – Albert Pujols (10)
OF – Andrew McCutchen (5)
OF – Mark Trumbo (9)
OF – Marcell Ozuna (14)
OF – Matt Holliday (16)
Util – Mike Moustakas (18)
P – Clayton Kershaw (1)
P – Chris Archer (6)
P – Rich Hill (11)
P – James Paxton (13)
P – Michael Pineda (19)
P – Jharel Cotton (20)
P – Andrew Miller (8)
P – Shawn Kelley (15)

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The news cycle is pretty dry as seen by the multiple Drew Smyly articles. Even so, here are a few bits of fantasy relevant news from the past week.

Trades and Signings

Involving two trades, the Mariners get Drew Smyly and Shae Simmons, the Braves get Luiz Gohara and Thomas Burrows, the Rays get Mallex Smith, Ryan Yarbrough, and Carlos Vargas.

With so many players traded, here’s a breakdown of those relevant to fantasy baseball.

• Drew Smyly: Other FanGraphs and RotoGraphs authors have covered him in detail. I rooted around in his stats and think he will continue to struggle since he has only two decent pitches, a fastball and a slider.
• Shae Simmons: Edwin Diaz is the Mariners closer. After Diaz, no single reliever stands out so Simmons could get Saves if Diaz gets hurt.
• Mallex Smith: I don’t think he fills the role of an everyday player. He hits at below replacement level (i.e. bad). He wouldn’t get any fantasy love if wasn’t for his stolen base potential. He could eventually fit into the mold of “young” Jarrod Dyson who got stolen bases by pinch running.
• Luiz Gohara: Good arm but still in the low minors. Dynasty league option only.

Rangers signed Tyson Ross Read the rest of this entry »

My article today spawned after listening to The Sleeper and the Bust podcast when Paul Sporer interviewed NBFC’s Main Event champion Rob Silver. The entire podcast is a must listen, but one part sparked my interest. Rob mentioned he uses infield flyball rate plus strikeout rate minus walk rate to value pitchers (55:45 point). Silver successfully targeted Kevin Gausmann, Marco Estrada, and Rick Porcello late in his draft by using this stat combination. I will create the same filter to find 2017 sleepers.

There is no easier ball to catch than the infield fly. It’s an easy out. In those few instance when they errantly fall to the ground, a fantasy owner shouldn’t worry since the rest of the inning’s runs won’t count because of the error.

Besides being an easy out, a player’s infield fly rate stabilizes with just over a half season’s data. While infield flies don’t stabilize as fast as strikeouts, they do become stable within a season.

Infield fly rate (IFFB%), especially as we represent it here at Fangraphs, misleads the user. The IFFB% listed indicates the percentage of flyballs (FB%), not all batted balls, which are hit in the infield. To get the infield popup rate, the IFFB% must be multiplied by the FB%. The confusion doesn’t end yet.

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Groundball Pitchers Suppressing ERA

I am going to play with fire and refute a Dave Cameron comment. In a recent article about Brad Ziegler, Cameron said:

So Ziegler basically breaks every mold you can think of. And he even breaks our models. His career FIP is 3.38, but his career ERA is 2.44, almost a full run lower. Part of that is that groundball pitchers get to count more of their runs as unearned because there are more errors on groundballs than on flyballs, so ERA systematically is biased in favor of groundball pitchers.

After the work I just did on pERA, I was worried about its validity. Previously, I found that groundball and flyball pitchers exponentially suppress their ERA as they move to extreme ends of the batted ball spectrum.

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Minor Trades

The Royals traded Jarrod Dyson to the Mariners for Nate Karns

The trade’s current winner is Jarrod Dyson’s playing time. While I wasn’t able to grab our playing time projections before the trade, Dyson’s playing time was likely projected at a half season of at bats. In the Baseball HQ Forecaster, they projected 259 at-bats and now we have him slotted in for 441 at bats. The additional playing time could help to push up his stolen base numbers into the forties.

I’m worried the Mariners may limit Dyson attempts. Last season, the Mariners were 24th in stolen base attempts. I tried several ways to see if team philosophy or talent controlled stolen base attempts.

A key factor I found was success rate which helped ease my concerns. A .44 r-squared exists between stolen base attempts and success rate. While the correlation isn’t perfect and some survivor bias exists in it, if players are successful, they continue to get the green light. Dyson had a sky-high 85% success rate over the past four seasons. If he can keep up the rate, he should be able to keep running.

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Adam Duvall found a home in left field for the Reds. He did it by playing acceptable defense and hitting 33 home runs. Additionally, he maintained a decent batting average with the help of a sub-30% K%. The production was split between the season’s two halves.

In the first half, he hit 23 home runs with a .302 ISO. In the second half, the hit just 10 home runs and a .203 ISO. While some regression should be expected from the first half, he recently mentioned the home run derby cost him some power.

“After the All-Star break, my forearms and hands were tired from the Derby. Maybe I was a little mentally tired from the adrenaline and everything,” Duvall said.

An interesting development. Using corrected StatCast exit velocity, here are Duvall’s batted ball production.
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