Author Archive

Alex’s Best Dudes for 2020 (Part 1 of 2)

Last week, I highlighted my 20 favorite mortal locks for 2020. Effectively, I compiled a list of 20 hitters and pitchers (primarily hitters) who have historically out-performed their current average draft position (ADP), such that, barring injury or unforeseen decline, they should do so again with ease.

Here, I will highlight one, and only one, player in each round (assuming a 12-team format) who (1) is not a mortal lock and (2) I found myself targeting frequently in drafts this year. Again, given draft season has mostly come and gone — and given that this season may never play out — I figure I could do this this one time. Granted, I still have two home leagues to draft, so it’s possible this could backfire. Oh well!

This doesn’t need a substantial prologue. Here are the first 15 of 30 players I have found myself strongly considering at their National Fantasy Baseball Championship (NFBC) average draft position (ADP) data from March 16 through April 9 (130 drafts).

Thirty of My Dudes (One for Every Round), Part 1

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Alex’s Mortal Locks for 2020*

The season may not happen, and nearly all of my industry and high-stakes drafts are complete (not my home leagues, though), so I feel like it’s as good a time as any to publish My Guys — or, not My Guys, exactly, but The Guys I Absolutely Can’t Ignore at Their Prices. I’ll call this latter group, for short, my mortal locks. Incidentally and hardly coincidentally, the overlapping portion of the Venn Diagram of My Guys and my mortal locks is quite large.

My mortal locks (a term my uncle uses that I absolutely love): the guys who I can nearly guarantee will turn a profit at their National Fantasy Baseball Championship (NFBC) average draft position (ADP). The average draft produces a 65% return on investment (ROI). In other words, that’s a 35% loss, or roughly $90 of a $260 auction budget poorly spent. If you can at least break even, let alone turn a profit, on every player on your roster, you are already setting yourself up for success. It’s nearly impossible, but it doesn’t make it a bad goal.

If you Google “mortal lock,” the first result is a website called waywordradio.org, in which it defines mortal lock as “a cinch, an odds-on favorite, a guaranteed thing or event.” The next result, though, is Urban Dictionary — far more reputable — which defines mortal lock as “a bet that is virtually guaranteed winner, but in reality it is just a coin flip.”

This post embraces both definitions. My mortal locks are mortal locks precisely because they have proven to be as close to guaranteed as anything or anyone else. In reality, nothing is guaranteed. But I’ll convince myself something must be.

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Draft Recap: Tout Wars (Mixed H2H Auction)

I wanted to not write too many draft recaps this preseason. I didn’t want draft recaps to simply stand in for analysis. Turns out we might not have baseball until June or July or maybe ever. Draft recaps might be all we have in this pandemic hellscape. (I’m being dramatic, I know. But, also, maybe I’m not!)

I did recap my first-ever Tout Wars draft last year. Honestly, it went poorly. I didn’t click through the link to read what I wrote, but if I try to make it seem like I did well… I promise you, I didn’t. I ended the SiriusXM stream chastising myself for drafting so poorly. It’s true!

I did, however, recover nicely in-season once I finally learned how to use OnRoto and I got a handle on what seemed to me like the optimal roster-building strategy. My year-end roster looked nothing like my drafted roster, and I was able to navigate FAAB effectively enough to wiggle my way into a semi-finals matchup. (I was a benched Kole Calhoun home run away from beating Clay Link and heading to the finals to face Ian Kahn, where he would have annihilated me unceremoniously.)

This year, I’d like to think I fared much better. I actually calculated projecwhatevted points this time! I’m sad we all couldn’t draft in person, but I’m more than happy to draft online at Fantrax in the name of social distancing.

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Potentially Meaningless Draft Recap: TGFBI (Rounds 21-30)

Well… this all feels sort of pointless now. But if you need a distraction from any coronavirus-induced anxieties, let this be a brief respite.

* * *

You can catch up on the first 10 rounds here and middle 10 rounds here. I’ve beaten to death the term “threading the needle” throughout these posts, but it’s an apt description for what I feel like I’ve had to accomplish with my particular strategy. “Walking a tightrope” is another.

The more time I’ve had to sit with my team, the longer I’ve had to disabuse myself of the notion that my team is any good. I still think it is, at least on the hitting side of things, but the pitching is as weak as it has been my last two seasons — or, if not as weak, at least as shallow. Most likely, I’ll be spending most of my FAAB (free agent acquisition budget) chasing pitching replacements, which is what I’ve done most of the last two years, too. Oh well.

Through 20 Rounds
Pos Player Pick #
C Christian Vazquez 13.189
C Tom Murphy 17.249
1B Edwin Encarnacion 11.159
2B Ozzie Albies 3.39
SS Trevor Story 1.09
3B Alex Bregman 2.22
CI Renato Nunez 16.232
MI Elvis Andrus 9.129
OF Jeff McNeil 6.82
OF Oscar Mercado 7.99
OF Justin Upton 14.202
OF Trent Grisham 20.292
OF
UT Nelson Cruz 5.69
 
P Aaron Nola 4.52
P Carlos Carrasco 8.112
P Hyun-Jin Ryu 10.142
P Joe Musgrove 15.219
P Alex Wood 18.262
P
P
P Keone Kela 12.172
P
 
b Ross Stripling 19.279
b
b
b
b
b
b

Let’s wrap this sucker up, stream-of-consciousness style.

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Draft-in-Progress Recap: TGFBI (Rounds 11-20)

Last week, I recapped the first 10 rounds of my the Great Fantasy Baseball Invitational (TGFBI) draft. I’m feeling good about it so far, which is a somewhat predictable feeling to have, since I probably shouldn’t hate my team yet. But it’s more than I can say about last year’s draft, which went poorly. Of course, I’m writing this intro through 14 rounds, and anything can happen in the next six or 16.

If this is your first time hearing about TGFBI, you can click my last post in the first sentence for more information. Ditto, some of my pre-draft planning. Otherwise, here’s my roster through 10 rounds:

Through 10 Rounds
Pos Player Pick #
C
C
1B
2B Ozzie Albies 3.39
SS Trevor Story 1.09
3B Alex Bregman 2.22
CI
MI Elvis Andrus 9.129
OF Jeff McNeil 6.82
OF Oscar Mercado 7.99
OF
OF
OF
UT Nelson Cruz 5.69
 
P Aaron Nola 4.52
P Carlos Carrasco 8.112
P Hyun-Jin Ryu 10.142
P
P
P
P
P
P
 
b
b
b
b
b
b
b

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Draft-in-Progress Recap: TGFBI (Rounds 1-10)

It’s draft season, which means it’s also draft recap season. Last year, I partook and subsequently recapped a few of my drafts. Folks seemed to enjoy them and/or find them beneficial. That’s good!

Incidentally, and unfortunately, all the drafts I recapped turned out terribly, and all my good teams (my league-winning National Fantasy Baseball Championship (NFBC) Online Championship team, my 3rd-place Tout Wars team, etc.) I let slumber. One of those terrible teams was my Great Fantasy Baseball Invitational (TGFBI) squad. I’ve returned to fight off my demons.

I will say: I feel much more well-prepared than I did last year. I feel more cogent, more lucid. Last year, I barely prepped. I was overconfident because of my 2018 success, in part, but primarily I was overwhelmed and burned out. I held firm convictions about hardly any player, which goes against every fiber of my fantasy baseball being.

This year, the opposite. I’m eager to correct my flaws from last year, starting, first and foremost, with actually preparing. Doesn’t mean I won’t totally botch this draft. I don’t fancy myself particularly good at 15-team leagues, excelling instead at 12-teamers, especially auctions. But, hey, no excuses. At least this time, someone else, instead of my own damn self, will have beaten me.

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Which Statcast Measures Correlate Best? 2019 Refresh

A little more than a year ago, Al Melchior had the brilliant and beautifully straightforward idea of investigating how strongly pretty much ever Statcast metric correlated with various traditional power metrics and compiling them in one post. He asked me to help out, which I was more than glad to do.

Recently, I saw folks talking about this again, and someone asked specifically about the 2019 season. I figured I could refresh the values from the original post quickly enough (certainly a lot more quickly than I did last time), and it would also help bring pertinent information to the fore for folks neck-deep in draft prep.

Spoiler alert: the results barely changed. But! I do feel more confident in this particular set of values, as I nerded out with programming instead of pulling dozens of different queries from the Baseball Savant search function and constantly getting frazzled.

OK, here’s the goods. For 2019 hitters:

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Quantifying the Benefit of Spray Angle to xwOBA

Expected weighted on-base average (xwOBA) is one of Statcast’s most important additions to the Sabermetric sphere. It’s a simple premise — estimate a hitter’s deserved production based, simply, on his combinations of exit velocity (EV) and launch angle (LA) — with robust implications and applications. It’s remarkable how powerful the metric is with just two inputs.

However, the metric is not without its faults (or complaints from those who use it). Its simplicity is beautiful but inherently and knowingly lacking, accounting minimally or not at all for:

  1. spray (lateral) angle (touched upon here),
  2. a player’s foot speed (discussed more thoroughly here),
  3. park factors, and
  4. opposing defense.

None of this necessarily serves as an indictment of xwOBA. The number of inputs you include affects the purpose you want it to serve. That is, do you want it to be descriptive or predictive? How about both? Maybe defense shouldn’t be included, then, if we can’t reasonably expect a hitter to face the same caliber of defense each year, something that is out of his control.

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Upgrading a Deserved Barrel%

New year, new deserved barrels metric. In October, I took a crack at devising a “deserved barrels” metric in which I took the basic components of a barrel — a hitter’s exit velocity (EV) and launch angle (LA) — and determined the capacity in which the components relate to Statcast’s barrel rate metric (barrels per batted ball event, or “Brls/BBE %” on Baseball Savant). I included squared terms (EV2, LA2) assuming the relationship is not linear. (A launch angle that’s too steep is detrimental, for example.)

Further offseason research led me to additional insights:

There exist many measures of contact quality; barrel rate captures how often a hitter produces high-quality contact. (Hard-hit rate functions similarly but ignores launch angle, to my knowledge, making barrel rate arguably superior.) It only made sense, then, that the latter finding above — that launch angle tightness matters to batted ball quality — should be incorporated into my deserved barrels work somehow.

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Converting ADP to Auction Values

Oftentimes, I write out of inspiration. This time, I write simply to write, because the subject happened to creep up into my thick ol’ skull without provocation, which I guess is a type of inspiration in and of itself but not wholly what I had in mind. No one specifically needs this post right now, or maybe everyone does. I don’t know.

Something I do see and have seen before, however, with frequency, are mentions of such-and-such player rising or falling in the ranks, usually by virtue of average draft position (ADP). ADP is a measure of a player’s rank by aggregating data for a whole boatload of snake drafts. It’s a good way of assessing a player’s market value.

The problem with ADP is, unless you have completed research nearly identical to this, you can’t possibly be expected to know how a player’s ADP rank might equate to a dollar value at auction. Having this knowledge, this intuition, is arguably helpful in understanding how much you’re staking on any particular player. Moreover, changes in ADP become easier to digest. Possibly. For me, it does. If you’ve never participated in an auction draft before, maybe it doesn’t.

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