Archive for Starting Pitchers

Luck, as Branch Rickey famously observed, is the residue of good fortune, and it seems to us that a lot of what we Fantasists do amounts to determining who’s been lucky and who hasn’t. This is the stock-in-trade of one genre of preseason Fangraphs article that we, for two, are suckers for: Player A, the article will assert, had bad (or good) Fantasy-relevant numbers last season, but a massage of those numbers or an examination of more granular stats suggests that his performance wasn’t as bad as (or was worse than) his Fantasy outcomes.

The closer look or the more granular stats, the article will continue, reflect the guy’s true performance, whereas the Fantasy numbers are artifactual, and largely produced by the guy’s luck. Since luck evens out, the article will conclude, the guy will do better (or worse) than people who haven’t looked closely at the numbers think, and will be worth more (or less) than the market thinks he is.

One of our relatively accurate forecasts of our rather pitiful 2016 season derived from this approach. At mid-season, we opined that Danny Salazar (first half ERA: 2.75) would decline sharply thereafter, whereas Carlos Rodon (first half ERA: 4.50) would improve significantly. And so it turned out. We reached these conclusions by asking: which starting pitchers, if any, were in the highest (i.e. worst) quartile of Batting Average on Balls in Play and Home Run to Fly Ball Ratio, and in the bottom (i.e. best) quartile of Hard-Hit Ball Percentage?

And which starters, conversely, were in the lowest quartile of BABIP and HR/FB and the top quartile of HH%? Our reasoning wasn’t abstruse: if a guy’s not getting hit hard, and yet is giving up a disproportionate number of hits and home runs, maybe he’s been unlucky, and if his only problem is that he’s been unlucky, maybe his luck will change. And, on the other hand, maybe the luck of a guy who’s getting hit hard but doesn’t yet have the scars to show for it will run out. Read the rest of this entry »

We’ve been rolling through our ottoneu FanGraphs points league rankings. This year the rankings will include values from myself, Justin Vibber, and Chad Young. We are presenting our individual dollar values, the average of all three individuals, plus the ranking of that average. In addition the tables below include Ottoneu eligibility (5 games started/10 games played in the prior year). Players are ranked at their most valuable position, and the hierarchy we are using is C/SS/2B/3B/OF/1B (with 3B and OF being a coin toss in terms of replacement level, we chose to include 3B/OF eligibles at 3B).

Prior Rankings: C/1B/3B, 2B/SS, OF

Key:
Split – Difference from highest to lowest $ value
Otto.– Average price across Ottoneu FGpts leagues
AVG. – Average $ value from the four of us
(+/-) – Difference between Ottoneu average price and our average $ value

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Necessity is the mother of invention. –Plato

I wanted to know how owners were valuing Michael Brantley’s playing time. Currently, at NFBC, he is going 233rd overall in NFBC drafts. Over a full season, he is projected to be more productive than the two outfielders going right before him, Carlos Beltran and Randal Grichuk. Owners, via calculations or their gut, are significantly downgrading a full season Brantley. But by how much? I needed to find the league replacement value.

I could go through all the whole league setting and final the values like I did for my Tout Wars league. While I recommend this detailed procedure for any league an owner takes seriously. I was just looking for a quick answer and stumbled upon one while looking over my Fantrax league.

Our friends at FanTrax.com have their players listed with projected stats and ADP. Having both downloadable made a projection sheet quickly come together.

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It’s time to resume our search for underpriced starting pitchers. For the past two years, we’ve been taking a look at which starters qualify, on the basis of the previous season’s stats, for the Holy Trinity (an established way of looking at stats, relying on a pitcher’s strikeouts per 9 innings, walks per 9 innings, and ground ball percentage), and the Holy Quadrinity (an approach of our own devising, relying on strikeout percentage, walk percentage, soft-hit percentage, and hard-hit percentage).

If you want more background and detail, go here. Obviously, most guys who do well in these categories are going to be top pitchers everyone already knows about. But the approach yields some surprises, including, last season, Justin Verlander and Kyle Hendricks. And, as we determined at the end of last season, in the aggregate it produces some positive value. So let’s see who it turns up this year. Read the rest of this entry »

Cody Bellinger is going to be a stud. He’s athletic and can hit the ball a mile. Just watch this home run from yesterday and enjoy.

I believe he’d be getting a ton focus if Adrian Gonzalez, and his contract, didn’t already occupy first base. The 35-year-old is still productive and can’t be benched … I think.

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This is not a “sleeper” list. Read the rest of this entry »

The Pod Projections are back! My projections are based on the methodology shared in my eBook Projecting X 2.0, and the process continues to evolve and improve.

A couple of months ago, I received my first Pod Projection request from a commenter, and that request was for Astros starting pitcher Lance McCullers. The 23-year-old made his Houston debut in 2015, as he made 22 starts and posted an impressive 3.22 ERA with excellent underlying skills. Unfortunately, he followed up that freshman effort by finding himself on the disabled list for what amounted to about half the season. He dealt with both shoulder and elbow issues, which limited him to just 14 starts. Although his control deserted him, he still posted strong skills, en route to an identical ERA as 2015. Now, he’s the newest member of my 2017 LABR Mixed Draft squad, so let’s find out what I projected his 2017 results to look like.

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This marks the fourth consecutive spring for tracking new pitches at Fangraphs. In 2014, the series was launched with a piece featuring both a retired and current pitcher and their insight into adding new pitches during the offseason and/or in camp. The 2015 tracking was done at RotoJunkieFix where I serve as the CIO which is just a fancy title for the guy that keeps a 20+ year old fantasy community up and running in his spare time. By popular demand, the 2016 New Pitch Tracker gained front page real estate here and I updated it throughout the spring with help from Jeff Zimmerman and others scraping the stories from the web and the crew at BrooksBaseball helping validate the pitches. That same support model will be in place this year for the extended 2017 Spring Training.

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Nearly a month and a half ago, I shared the names of six starting pitchers who my old xK% metric suggested had the most strikeout rate upside this season, assuming their equation components remained unchanged. I then got sidetracked, introduced an updated version of the equation with new component coefficients and then even played around with incorporating CH% (changeup percentage) into an even newer version of the equation. So I never actually got around to the list of starting pitchers with strikeout rate downside. It’s now time to share those names with you very patient people.

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I may have taken a step back from RotoGraphs, but I haven’t stopped playing fantasy baseball, and I have to take a look at all the pitchers anyway, and people keep bugging for my ranks in chats and anyway — here they are! I have some notes below the ranks, which are created for 5×5 leagues by using projections and then moving the players around subjectively for different reasons, most of which you will hear on our podcast.

But there are a few notes about tiers and places in the rankings that I like and dislike, notes that might help you think about your pitching strategy this year. Good luck!

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