Author Archive: Alex Chamberlain

We gather here today to mourn the loss of one of our dearly beloved. Jorge Soler‘s chances of earning the National League Rookie of the Year award recently walked off into the sunset, fading into a distant memory, albeit a fond memory at that. In light of Joc Pederson’s performance thus far, however, we maybe gather here today to mourn something that never existed. My heart struggles to understand how we could have possibly loved but never lost.

It seems like just yesterday that Soler was the Chicago Cubs’ safest prospect. As much was argued — nay, commanded — by our very own Scott Spratt. Indeed, another of our Scotts, surname Strandberg, once spoke of the Cubs’ embarrassment of prospect riches by leading with Soler’s name rather than Kris Bryant‘s or Javier Baez‘s or Addison Russell‘s or Arismendy Alcantara‘s or Albert Almora‘s or Kyle Schwarber’s. I think that the fault is neither Scott’s nor Scott’s; the greater fantasy baseball community had its eye on Soler. Indeed, I tabbed Soler as my NL ROY favorite. So, too, did Eno. We are all fallible.

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I committed Matt Holliday to my disabled list Monday, marking the 14th(!!!!) DL move I’ve made for my primary team this season. Perhaps the state of my team is implied by the length of its disabled list. If not, I’ll make it clear: my team has been bad. Pretty darn bad.

All of my drafts were especially poor. I drafted the same terrible, injured, underachieving players in every league, so it has been generally a nightmare all around. The hole I dug for myself is deep. Kyle Lohse broke ground on said hole with an 8-run Opening Day outing that lasted all of 3-1/3 innings, and we never looked back. Woe is me. Alas, it’s barely the second week of June, and I have already resorted to my Hail Mary play: buy low on everyone in sight.

Calling it “buying low,” however, is a bit misleading. It’s a shallow league, so there is arguably a stronger incentive for owners to cut bait on underachieving name-brand players in order to ride the hot streaks of unknown quantities, given they crop up more abundantly. What I’m actually doing, then, is loading up on underachievers from waivers. My team is already underachieving. These guys are already underachieving. How much worse could it get?

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The economics of keeper and dynasty leagues intrigue me because no two owners value the future equally. Given my primary league is of the keeper taxonomy, I am always thinking about the future. Given the especially miserable state of my team in said league, I’ll soon reach a point where I am only thinking about the future.

A segue of remarkably poor quality: Joc Pederson is good at baseball.

Another segue of questionably better quality: he reminds me of George Springer for reasons not entirely surprising.

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NL OF Tiers: May
NL OF Tiers: Preseason

I love Bob’s Burgers. That love stems from a love of H. Jon Benjamin, which stems from a love of Home Movies. However, I do not find Archer all that funny. It is the lesser show, and that’s that.

I’m sorting the tiers by secondary characters in Bob’s. It’d be too easy to rank Bob’s family. Or would it? Should I? No, I won’t. I’ll stick to the game plan.

Aside from the top tier, the rest of the hitters are ranked loosely in their respective tiers. An argument could be made for all of them to move up or down a couple of spots.

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I am humbled by the interest in my expected isolated power (xISO) equation since its inception. A fairly simple but helpful tool, I take solace in hoping it maybe has helped one fantasy owner identify a smart buy-low candidate — or reluctantly cut bait on Carlos Gonzalez. I also appreciate the feedback and recommendations for improvement and expansion. I will take care to consider their implementation when I have more available time.

It’s important to remember that Steamer and ZiPS also provide updated and rest-of-season (RoS) projections for most players. Hitter ISOs aren’t listed on the page listing all projections — only slugging (SLG) and batting average (BA) are included, forcing the user to perform some light arithmetic — but ISOs are listed on each hitter’s personal page. And they are not fundamentally different from the expected ISOs I have calculated for you today (spoiler alert). For reference, I crunched the correlation coefficients of every qualified hitter’s current xISO versus his current Steamer and ZiPS ISO projections:

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It is fashionable to ridicule a fantasy owner for panicking in April. It’s early, they say. Something about small sample size, they say.

Yet here I am in late May — which is pretty much June to the common antiestablishmentarian — watching y’all sit stoically with your coveted, probably somewhat expensive shares of Matt Kemp (96% owned in Yahoo! leagues) and Carlos Gonzalez (94%) as they flounder in the batter’s box. That was condescending, yes, but I know I benefit from the luxury of not facing such painful decisions (nor enduring the mighty struggles of once-established sluggers).

I recently discussed CarGo and Kemp here and here, respectively. Unless you can get a decent return on name value from someone who thinks he’s buying low, it may be time to cut bait. I’m here to remind you: it’s OK to let go, to start anew. It’s just hard sometimes, I know. I’m here to help you transition.

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There’s something beautiful about an empty canvas because of its potential. The painter can turn it into literally anything — anything from a masterpiece to utter crap. The painter can make mistakes. She can paint a miserably bad portrait, yet still have time to amend it, perhaps creating an entirely different work — a different and better portrait, the ugly original buried deep beneath several layers of paint. The final product is a marvel, though the journey there was not smooth nor seamless.

Or right from the start she can paint the perfect landscape. And that’s great, except she continues to paint until it is no longer the masterpiece it once was but a mess of dimensionless color, unrecognizable and void of merit.

Such are the stories of the seasons of MLB hitters. A player can suffer a miserable April — the ugly portrait — yet slowly build up to a respectable end-of-season stat line. Conversely, a player can have a monstrous April — the perfect landscape — yet watch it slowly fall apart over the course of the next five months.

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Rubby de la Rosa twirled a gem Monday night.* It was a night of several unlucky fantasy pitching performances: Corey Kluber, Chris Sale, Matt Harvey and John Lackey together struck out 34 batters and allowed only three runs in a combined 32 innings pitched, and the Twitterverse made sure everyone knew.

Yet there was de la Rosa, plugging away against the Marlins (and against Dan Haren, who admirably tossed eight innings of two-run ball in defense), needing only 94 pitches to get through a full nine innings of play. Rubby, too, settled for a no-decision, his due to a poorly timed two-run homer allowed to J.T. Realmuto in the 7th inning.

I was reluctant to invest in Rubby at first, remembering his wholly disappointing 2014 season. (In his defense, he was never really a touted, let alone highly touted, prospect, even within the Dodgers and Red Sox systems, so the term “disappointment” is used loosely here.) However, I have bought several shares of Rubby in the past couple of weeks due in large part to a smattering of injuries but also a series of respectable performances by de la Rosa.

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Yesterday, I noted that Carlos Gonzalez’s isolated power, as determined by my expected isolated power (xISO) equation, mirrored his current production. This would be great news if we were talking about CarGo circa 2013.

Unfortunately, we’re talking about the 2015 incarnation of CarGo, he of the .109 ISO, .188 batting average and .233 batting average on balls in play (BABIP). The latter-most statistic might be the first talking point a proponent of his brings up in his defense: CarGo’s BABIP is atrocious right now — it’s just a matter of time until his bad luck turns around. Indeed, there may be some truth to this sentiment.

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Last week, I introduced xISO, a metric that calculates a player’s expected isolated power based on his batted ball profile (per FanGraphs’ recently added batted ball data courtesy of Baseball Info Solutions). Having looked at a handful of underachieving National League outfielders for its induction, I’ll expand the analysis of xISO here today.

I’ll reiterate some key points. I used all 12 years’ worth of batted ball data for all player-seasons in which a hitter qualified for the batting title. The OLS regression specified pull rate (Pull%), hard-hit rate (Hard%) and fly ball rate (FB%) as explanatory variables and produced the following equation, which I deliberately omitted last week:

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