Archive for Starting Pitchers

pERA Update From SABR Analytics Presentation

This past Thursday, I spoke at the SABR Analytics conference on my per pitch valuations (pERA).  I originally created them to form an understandable framework for comparing prospect pitching grades and major league results. Some byproducts of the work became useful like the effects of dropping a pitch. Today, I will make available new information I provided at the conference.

For the readers who aren’t familiar with the original work, it can be read in its 2500 word entirety in this previous article. Here is a summary.

  • The key is to give each pitch an ERA value (pERA) based on the pitch’s swinging strike and groundball rates. All the values are based on the average values for starting pitcher. Closers will have higher grades because their stuff plays better coming out of the bullpen.
  • The pitcher’s control is determined from their walk rate which is separate from the pitch grades.
  • Each pitch is placed on the 20-80 scale with 50 being average, 80 great, and 20 horrible.

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Pitcher Launch Angles And Home Run Rates

Some time ago I went through my database searching for batted balls that produce the greatest offensive benefit. I settled on a range of vertical launch angles between 21 and 36 degrees. This range of angles accounts for the majority of home runs and extra base hits, and are generally among the most valuable batted balls.

Balls hit between 21 and 36°
BIP H 1B 2B 3B HR SF
Stats 88200 35672 8438 8330 1446 17458 2406
% of Total 19.5% 22.5% 8.2% 26.2% 41.5% 84.5% 50.7%
AVG SLG BABIP wOBA
.416 1.158 .258 .632
All BIP with a measured Exit Velocity.
This excludes roughly 15% of BIP from analysis

These are the most valuable balls, and this is, generally speaking you want to see batters maxing out balls on these angles and pitchers minimizing them. In the traditional sense, this range encompasses “fly balls”, as you would see reported on Fangraphs (FB%), but some sources consider balls hit between 20 and 25 degrees to be line drives. Either way, this is an important range. This isn’t ground breaking material, but you may not be familiar with it being described in terms of angles.

We know home run rate went up dramatically in 2016, at least in part due to an increased average exit velocity. However, this home run surge took place almost entirely for balls with a launch angle between 25 and 36 degrees. Balls hit above and below this launch window saw little to no increase. Alan Nathan wrote a relevant article which I encourage you to read. Read the rest of this entry »


PITCHf/x Forensics: Matt Harvey and Thoracic Outlet Syndrome

A lot was expected from Matt Harvey and the New York Mets starting rotation in 2016, but aside from the Norse God of Thunder, the season was a bit of a let down (to say the least). Having fully recovered from Tommy John Surgery, and a consequent missed season in 2014, Harvey missed the end of the 2016 season when he was diagnosed with Thoracic Outlet Syndrome and opted for season-ending surgery. Unless you’ve been living under a rock, chances are baseball fans know what Tommy John Surgery is, and where the ulnar collateral ligament resides. A lot less is known about Thoracic Outlet Syndrome, so let’s dig in.

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Pitchers: Whose Stats Underachieved?

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 »


2017 Ottoneu FGpts Rankings: SP/RP

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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ADP to Replacement Player Projected Stats Spreadsheet

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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Cheapish Starting Pitchers: Revisiting the Quadrinity, Plus ADP Mini-Update

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 »


Mixing Fantasy & Reality: Bellinger & Fastball Velocities

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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2017 Lottery Ticket Team: Pitcher’s Edition

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


2017 Pod Projections: Lance McCullers

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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