A couple weeks ago, I used our newly installed NFBC ADP data to pluck out some potential hitting breakouts via Steamer 600 projections. I have some pitchers for you today. Honestly, the pitcher iteration of this isn’t quite as juicy as the hitters. I think it’s because pitchers displaying strong skills are elevated into prominent roles sooner than hitters so there aren’t many guys with mid-3.00 or better ERA projections in a low innings totals. In fact, the projections of the guys I picked aren’t that great, but I’m willing to bet on them as I believe they can outperform the projection substantially. The first three are guys I’m actively targeting in my drafts while the latter three are bigger injury gambles meant for reserve rosters in mixed leagues.

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Last Friday, I wrote about four of the most obvious closer sleepers. If I’m looking for the lowest hanging fruit, my eyes are on the Diamondbacks, Twins, White Sox, and Angels. That leaves us with plenty of other low hanging fruit. You’ll just need to overlook some minor blemishes.

In case you need justification to bargain hunt for closers, here’s my cold take on the subject:

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Paying full price for saves can make it challenging to build a dominant roster. Closers are among the most inconsistent of baseball assets. Not only do they have the injury and performance risks typically associated with pitchers, but they also have to remain the best reliever on their particular team. A guy like Hector Neris could stay exactly the same – i.e. acceptable but not exceptional – and lose his job.

Last season, 23 relievers had the closer role and then lost it. That’s excluding the handful of players who had the job, lost the job, and later recovered the job. In 2016, 25 closers were booted from the ninth. Only 21 got the ax in 2015. The good news is that many of those guys – like Tyler Clippard – were always meant to be temporary solutions. A handful of struggling teams often account for over half of the demoted closers.

Entering 2018, most of the league looks pretty set in the ninth inning. Even so, we’ll still almost certainly see the usual turnover at the position. Over the next couple days, I’ll cover some of my preferred closer sleepers, starting with the most obvious.

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Welcome to the Ottoneu keeper deadline, 2018 edition.  Today (11:59 PM EDT) is the final day to make that difficult decision about your on-the-bubble players before rosters lock and you set your sights on your upcoming league auction.  Per the rules:

Between the end of the Major League Baseball regular season and the end of arbitration, players may be cut. Between the end of arbitration and the keeper deadline, players may be cut or traded. After the keeper deadline and before the auction draft, teams may not cut or trade any players.

Since the keeper deadline also serves as a de-factor trade deadline, I’ve lined up a few final resources for you below and I’ve asked a handful of Ottoneu experts (Justin, Chad, Brad) to check your questions and comments periodically throughout the day to offer their input on your toughest decisions.  You don’t play this game? You should, but even if your non-Ottoneu keeper deadline is still a few weeks away, feel free to fire your questions below and we’ll do our best to give you feedback (for context, don’t forget to let us know details about your league format).

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“… pros were more likely to ride a wave of irrational exuberance than to fight it. One reason is that it is risky to be a contrarian. ‘Worldly wisdom teaches that it is better for reputation to fail conventionally than to succeed unconventionally’” – Richard Thaler in Misbehaving

At the root level, fantasy baseball is about acquiring more undervalued assists than your opponents. Everyone wants a first-round talent for a last round price (e.g. Aaron Judge). With teams clamoring to acquire every advantage, they are insistent on wasting away an early draft advantage. In early 2018 drafts I’ve participated in, an early emphasis on middle infielders is inflating their value way beyond their projected production. Is the observation wrong? If so why? If not, how can an owner take advantage of this mispricing?

Note: For this article, I will lump second basemen and shortstops together into one middle infield position. Neither position has more talent than the other and the bottom players will be used to fill a middle infield position.

For those who have recently created mixed-league valuations, positional scarcity doesn’t exist besides with catcher. I use the method outlined in Larry Schechter’s book, Winning Fantasy Baseball to determine my values. I’m not going to go into the process’s exact details but it’s the standard procedure used by fantasy experts to prep for auctions. Even a couple years ago a small amount of positional scarcity existed but a huge influx of good middle infielders has raised the group’s overall talent level up to the other positions.

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I was recently asked the following question by Werthless.

Jeff, what are you trying to accomplish here? Are you trying to estimate the volatility in an individual player’s projection? That’s an interesting question, and directly related to the risk of the player. Are you trying to do better than Steamer at predicting performance? That’s a big endeavor. Are you trying to predict injuries? Might be better to do that directly. Are you trying to better estimate number of plate appearances by estimating job security? Might be better to do that directly.

Then, you can combine the models to perhaps better quantify a player’s risk of meeting preseason performance objectives. You can apply your model onto a different year’s data to see how well your predictions match reality (ie. Do the higher risk players actually underperform more often than lower risk players).

I do have a plan I’m implementing but it wasn’t known to my readers. Sorry. I want to understand which hitter traits to concentrate on. If they don’t exist, I created some.

For a few season’s now, my hitters have steadily outperformed my pitchers. In my three main leagues, here are the pitching-hitting splits from this past season.
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Breakouts and busts. If there was a set procedure for finding both, it would have been found years ago and incorporated into projections. For now, all we have is the overall chances of either happening. Over the past few weeks, I’ve been trying to put a simple value on these chances. I’ve completed the underperforming calculations and will now finish the overperforming metric. Additionally, I will compare both metrics to get an overall idea of the projection’s volatility.

In my last article, I found the breakout thresholds for plate appearances (222 PA) and wOBA (.040) and won’t change these values. Besides these two values, I determined who had both thresholds crossed and when both were partially achieved. The overperformance needed to increase near to the threshold values.

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It’s probably been awhile since you’ve read a traditional “buy low, sell high” article.  In today’s golden age of baseball analytics where complex physics and statistics can be boiled down to a few simple indicators accessed instantly using one hand, it’s not very often that we (readers, fans, fantasy players) find ourselves in possession of knowledge before the masses.  For example, try “selling” Avisail Garcia and his recent .375 wOBA around your league without getting some type of response that includes “yeah, but he had a .392 BABIP”.

Thankfully, despite all the data available at our fingertips, the one ingredient that will always play a critical role in the mixture of value is the human element of perception, which can swing wildly in different directions depending who you’re dealing with.  Today I’d like to isolate a few players who’s perception may be suppressing their actual value a little more than it should be, which may represent a buying opportunity for savvy fantasy owners prepping for 2018.  The good news is you don’t have to stand in line to land these deals, but you will still need to get them early.

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A few days ago, Jake Leech asked me if Zack Cozart’s 2017 improved plate discipline would stick into 2018.

https://twitter.com/Stroke_19/status/931525718667943936

Cozart saw quite a bit of improvement with his K%-BB% dropping by 6% points.

Note: I like using K%-B% to get an overall value for a hitters plate discipline. Earlier this year, I investigated what early season stats point to a true breakout. K%-BB%, along with launch angle (FB%), were the two key factors to focus on.

The Steamer projection has his K%-BB% regressing closer to his 2016 values than the ones from 2017. This is how projections work with previous season stats having some weight along with some regression.

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I’ve done this before — compare similar players, one of whom is “name-brand,” the other “generic-brand,” using blind résumés — as have many others. Ben Kaspick carried the torch a while this year, but he credited Joe Douglas with the idea. So let’s say it’s a group effort to which I’ll contribute once again.

In anticipation of 2018 drafts, I wanted to carry out a “buying generic” style of analysis, borrowing in part from too-early mock draft average draft position (ADP) data. I do not intend to construe the following comparisons as rigorous analysis. I do, however, intend to highlight some potential bargains that, if the too-early mock ADP information is concerned, warrant your attention on draft day.

Comparison #1: Outfielders

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