Yesterday marked the triumphant return of the Steamer and I series, as I started things off with a comparison of Michael Conforto’s Pod Projection and Steamer forecast. Today I will continue with a player I am much more optimistic about than Steamer, Yoenis Cespedes.

Cespedes had a dreamy two months with the Mets, driving an overall offensive performance rebound back to the level he enjoyed during his 2012 debut. Though no one expects him to repeat that level of production over a full year, lost in what Cespedes did was that he had already rebounded in his first four months with the Tigers. The Mets performance simply made his rebound more dramatic. So let’s dig into the numbers and find out why I’m so much more bullish than Steamer.

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Welcome to the return of the Steamer and I series. I debuted Steamer and I last year and have decided to bring it back for an encore performance. In the series, I pit my Pod Projection against Steamer, comparing wOBA forecasts for hitters and ERA for pitchers. I’ll choose several fantasy relevant players to discuss on each end of the spectrum – those I am far more optimistic on and those I am more bearish on.

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Two years ago, I shared with you an updated version of my xK% equation. The formula uses a trio of strike type rates found at Baseball-Reference.com, including a pitcher’s looking, swinging, and foul strike percentages, along with his overall rate of strikes thrown. With an adjusted R-squared of 0.913, it explains a very higher percentage of a pitcher’s strikeout rate. Its best use is early in the season when the plate appearance (the K% denominator) sample size is still small, as xK% uses total pitches as the denominator, so we can reach a reasonable sample size to analyze much more quickly.

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Two years ago, I shared with you an updated version of my xK% equation. The formula uses a trio of strike type rates found at Baseball-Reference.com, including a pitcher’s looking, swinging, and foul strike percentages, along with his overall rate of strikes thrown. With an adjusted R-squared of 0.913, it explains a very higher percentage of a pitcher’s strikeout rate. Its best use is early in the season when the plate appearance (the K% denominator) sample size is still small, as xK% uses total pitches as the denominator, so we can reach a reasonable sample size to analyze much more quickly.

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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.

Yesterday, I published my first Pod Projection of the year, and the honor was bestowed upon the Dodgers’ hyped young shortstop, Corey Seager. Several commenters asked me to clarify my feelings on Seager’s ADP in relation to Xander Bogaerts, so I figured I might as well expand upon my thoughts on the latter by giving him the full Pod Projection treatment.

Bogaerts, a former top prospect with the Red Sox, completely transformed into a new type of hitter in 2015. It’s odd because this is something you might expect from an established veteran who is compensating for deteriorating skills. Established veteran Bogaerts is not, but the finished product delivered significantly more offensive value than the 2014 version. He struck out far less, though his SwStk% only declined marginally, the respectable minor league power he had displayed in the past declined even further, he became an extreme ground ball hitter, at the expense of fly balls, he went to the opposite field with dramatically greater frequency, and his BABIP skyrocketed. Phew! Is there anything in Bogaerts’ statistical profile that didn’t change drastically?! His line drive and pop-up rates were virtually unchanged, so there’s that!

With all these changes, it makes projecting his 2016 performance that much more difficult. It’s hard enough forecasting a player with just two Major League seasons to his name, so when we cannot even determine a true baseline for his skills, we’re essentially just taking a wild guess. So here goes…

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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.

The honor for first 2016 Pod Projectionee goes to Dodgers shortstop Corey Seager. He came to the plate just 113 times in his Major League cup of coffee, but man did he impress. He posted a robust .421 wOBA and displayed elite underlying skills across the board. I wrote him up in mid-November, concluding with the following:

With all the other exciting sophomores getting more attention, it’s possible Seager slips under the radar, even with his excellent September performance. Normally, he’s the type of player who would be a near lock to be overvalued. But I’m not so sure about it. In fact, I’m rather curious where fantasy owners will peg his value. I don’t expect a big breakout, but he could very well be a solid across the board contributor.

“…it’s possible Seager slips under the radar”, ha! He’s currently the 55th player off the board and third shortstop selected according to NFBC ADP. Surely fantasy owners haven’t forgotten about him and are putting an awful lot of stock into his prospect pedigree and a tiny sample of MLB performance. Are they justified in their optimism?

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Welcome to the RotoGraphs Matchmaker Service. No, I cannot find you a date. However, we could hopefully facilitate the marriage of league owner with leagueless owner. If you are seeking an owner to fill your fantasy league or are the owner hoping to be seeked (how is that not a word?) to join that unfilled league, this is your new home. In the comments, please advertise your league openings or your availability and desire to join a league. To make things easier, it would be helpful to include the details of the league you’re seeking to fill or prefer to join in the following format:

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It’s mid-Feburary, and that means that another eeeeeeaaaaaaarrrrlllllllyyyyyyy LABR Mixed draft has been completed. Tout Wars auctions/drafts don’t go off for another month, my local league’s auction is in a month and a half, and opening day is still six and a half weeks away! The early timing of LABR Mixed presents some interesting challenges in that there are many position battles yet to have even begun and several potentially valuable free agents yet to sign. So on one hand, it requires us to do serious research, but on the other, we’re all just speculating, crossing our fingers, and hoping for the best.

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The LABR Mixed draft went off last night (or will begin in two hours as I being to type this), and I am hoping not to once again have to explain why I selected Billy Hamilton in the second round. Anyhow, I wanted to share an important piece of draft preparation that I have never read as being advised, but I do perform heading into every snake draft.

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Three years ago, I conducted an exhaustive study of ESPN Home Run Tracker data. At that time, it was the primary tool I used to validate a batter’s power, before we got into the sexy new batted ball distance, and then combined that with standard deviation of distance and average absolute angle. The short story is I found that hitters with an unusually high percentage of “Just Enough” (JE) homers saw their HR/FB rates decline the following year, significantly more than the rest of the player population. On the other hand, those who hit a high percentage of “No Doubt” (ND) homers maintained their HR/FB rate much better than the rest of the group.

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