At this point, when it comes to bold predictions, you should know the drill. Yet it feels increasingly cliché to lead with, “you know the drill.” Nevertheless: you know the drill. We make bold predictions before the season and we review them after the season.

One thing I make a point of highlighting I try to make my predictions sufficiently bold while also actionable. “David Fletcher will hit 50 home runs” is a certifiably insane prediction, but it is not actionable because what do you do with this information? You over-draft him, sure, but by how much?

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This month last year, Connor Kurcon of Six Man Rotation set out to quantify the location aspect of command (or “LRP”). By establishing an accounting system that credited and debited pitchers for changes in ball-strike counts based on the attack zone of and hitter’s disposition (take? swing? ball in play?) for every pitch, he effectively created an alternative to Pitch Value (PVal) that rewards optimal movement through ball-strike counts but with much more pitcher and hitter context.

His findings are as you’d expect: Jacob deGrom and Justin Verlander lead the pack, with Gerrit Cole, Max Scherzer, and Clayton Kershaw not far behind. Other budding aces like Jack Flaherty and Mike Clevinger pepper the list, and some pleasant surprises (such as Brendan McKay, Caleb Smith, and, for those still thirsting, Jake Odorizzi) are scattered throughout as well. Out of the bullpen, newly anointed relief ace Nick Anderson led the pack followed by the underrated Emilio Pagán, breakout reliever Giovanny Gallegos, and others.

Near the end of his post, Kurcon includes a subhead dedicated to Kyle Hendricks where he highlights how Hendricks, widely respected as a command artist, fares lukewarmly by measure of LRP. He then reminds us “LRP doesn’t paint the full picture of command.” True that.

Fortunately, Kurcon has left the door open for me to tie up loose ends with find Gs I’ve been meaning to write up for a couple of months now. Never fear, Hendricks is the command artist we know and love — it’s just that he relies heavily on incurring contact in optimal pitch locations. It is a needle very few pitchers can thread, but Hendricks does it masterfully.

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Ominous title, I know, but in all fairness: Jose Altuve sports a paltry .207/.267/.322 (65 wRC+) line. The former consensus 2nd-overall pick who hit .298 with a career-high 31 home runs last year may seem like an unlikely collapse candidate on the surface.

Unfortunately, the cracks began to show last year. For one, Altuve all but stopped running; when he did run, he fared poorly, succeeding in only six of 11 attempts. Moreover, his .298 average, while excellent, was a far cry from his best (.346) and post-breakout five-year peak from 2014 through 2018 (.331). These are the obvious signs of wear.

A lightly critical evaluation might have concluded Altuve would still be a valuable commodity in 2020. Average draft position (ADP) data confirms this suspicion; a post-pandemic-onset ADP of 40.12 (37th overall), per the National Fantasy Baseball Championship (NFBC), ain’t nothing to sneeze at.

Yet my work on launch angle tightness in December, while illuminating and fun to research, shone a spotlight on an interesting and very specific data point: Altuve.

A tight launch angle (small standard deviation) is not always good, and a loose launch angle (large) is not always bad, but by and large the overall trend holds. Perhaps a more effective way to use tightness is to compare it historically for each player. While Altuve never had elite tightness, it was consistent, and he was an elite hitter, and that’s all that mattered. So it alarmed me to see his launch angle loosen up in 2019:

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It’s easy to dismiss Randy Dobnak, to turn him into a punchline. When 99.99% of baseball fans were introduced to Dobby last fall, they learned two things:

1. When he wasn’t pitching, he worked part-time as a ride-share driver to help pay the bills (an altogether separate indictment of MLB and its broad moral shortcomings), and
2. He has a handlebar mustache.

That’s just enough, but also plenty, to undercut a grown man’s legitimacy. It’s this very illegitimizing, I hypothesize, that has allowed Dobnak to fly under fantasy radars, even as he demonstrates nonzero aptitude on the mound.

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These hallowed pages have borne (bore? beared? how am I even a writer?) witness to many bold predictions — some good, most bad. Last year’s hits and near-hits include Kirby Yates, Jeff McNeil, Mike Tauchman, and Domingo German; previous hits include Jose Ramirez, Madison Bumgarner (not being an ace), Matt Chapman, and Miles Mikolas, among others, as well as other near-hits not worth repeating.

Sometimes, bold predictions aren’t entirely so. I try to make my predictions legitimately bold (bordering on impossible), actionable, and strategic. It’s not helpful for someone to boldly predict Giancarlo Stanton will hit 25 homers in a 60-game season, however fun a prediction that may be.

It’s (less than) half a season, so you get half the predictions, although I’ll include some less-bold low-hanging fruit at the end, for posterity.

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I semi-recently had the honor of presenting at PitcherList’s PitchCon online conference to help raise money for Feeding America. My presentation, “ERA Estimators: Past, Present, and Future,” discussed, well, exactly what it sounds like it discussed. Over three posts, I will recap and elaborate upon points made in my presentation.

In the first two parts of this series (1) (2), I reviewed every manner of estimator, from the classics (FIP, xFIP, SIERA) to new-fangled doohickeys (Baseball Prospectus’ DRA, Statcast’s xERA, Connor Kurcon’s pCRA, Dan Richards‘ FRA). Today, we march forward, envisioning a future that may already be upon us.

ERA Estimators, Part III: Future

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I spend a lot of time bothering Connor Kurcon. He’s a smart dude with a certain intuition about baseball and a certain ability to apply that intuition to produce tangible results that invariably reflect his hypotheses. He devised Predictive Classified Run Average (pCRA), an ERA estimator that outperforms the big three (FIP, xFIP, and SIERA). He also created a dynamic hard-hit rate which, to me, was astoundingly clever and a superior accomplishment to pCRA (although maybe he disagrees).

Anyway, like I said, I bother him a lot, he tolerates me, we bounce ideas off each other. The journey starts there, with my incessant annoyance of him, but also it starts here, with this Tom Tango axiom: exit velocity (EV) is the primary predictive element of hitter performance (as measured by weighted on-base average on contact, aka wOBAcon) — significantly more so than launch angle (LA). Some of the inner machinations of Tango’s mind:

That's not that interesting. What I was more interested is its relationship to NEXT YEAR's wOBA.

Not surprisingly, the performance of the 5% hardest batted balls is what indicates talent in the following year, and by a huge amount. If you've been following my barrels thread.. pic.twitter.com/hvLWr0rCSr

— Tangotiger 🍁 (@tangotiger) February 27, 2020

I won’t speak for Kurcon, but I think this finding helped guide his work on the dynamic hard-hit rate. I also think it inspired his foray into replicating this effort for pitchers or, at the very least, his attempts to determine the most predictive element of pitcher performance. Which leads us to this tweet that (spoiler alert) is actually not stupid at all:

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I semi-recently had the honor of presenting at PitcherList’s PitchCon online conference to help raise money for Feeding America. My presentation, “ERA Estimators: Past, Present, and Future,” discussed, well, exactly what it sounds like. Over three posts, I will recap and elaborate upon various talking points from the presentation.

If the previous post was an elementary look at the “big three” estimators (FIP, xFIP, and SIERA), I hope this one is a little more illuminating.

ERA Estimators, Part II: Present

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I semi-recently had the honor of presenting at PitcherList’s PitchCon online conference, which raised a good chunk of money for Feeding America. My presentation, “ERA Estimators: Past, Present, and Future,” discussed, well, exactly what it sounds like. Over three posts, I will recap and elaborate upon various talking points from the presentation.

However, if this does happen to be your first exposure to ERA estimators or you are familiar with them but don’t necessarily understand their innards, then I hope you find this launching-off point beneficial.

ERA Estimators, Part I: Past

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Yesterday, I posted the first 15 out of 30 of My Dudes who I have been drafting at each “round” of 12-team drafts, per National Fantasy Baseball Championship (NFBC) average draft position (ADP) between March 16 and April 8. Here are the last 15! Plus! As a bonus, I’ll briefly chronicle 10 players I’ve been targeting for my bench depth in 15-team leagues as well. Enjoy!

Thirty of My Dudes (One for Every Round), Part 2

Round 16: Christian Vázquez, BOS C (ADP 192.11)

I came away from my deep dive on Vázquez surprised by how impressed I was with his profile. He’s not an elite hitter or anything, but I’ll take a catcher who can hit 20 homers with an average that won’t kill you. (All of the projection systems have taken the hard under on his power this year, by the way. I’ll smash the over, but I don’t expect another 25-homer pace or anything.)

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