Archive for Aaron Nola

Well, we’re moving ever so slightly back in the right direction as we sliced nearly two-tenths of a run off the ERA — nearly under 5.00! — and are at least trending in the right way rates-wise. As reminder, there’ll be no column next week due to the All-Star Game festivities. Enjoy!

Here’s how we’re doing so far this season (through half of Week 12)

20-21 record
5.04 ERA
7.5 K/9
2.1 K/BB
1.52 WHIP
22 quality starts

Here are this week’s recs (with team wRC+ for this season in parentheses):

RHP Aaron Nola – 43.9% ESPN – v. PIT (89), v. SD (81)

I’m just licking my chops over these matchups for Nola, an immensely talented righty who I think is criminally under owned at this point. Sure, his ERA isn’t great (4.13), but his FIP is pretty solid (3.82), he’s fanning nearly a batter per inning and isn’t giving up a ton of homers (1.1 per nine) despite the league having gone crazy in that respect. He was really, really good in June, too: 3.24 ERA, 35-11 K/BB ratio in 33.1 innings and .633 OPS against. Read the rest of this entry »

RotoGraph’s Bold Predictions pieces make for an undoubtedly fun series to be a part of. The challenge is finding that sweet spot between bold and insane which, to my understanding, results in about 3 correct predictions out of 10. Last year, my first, my boldness led me off the deep end as faith in such luminaries as Aaron Hicks, Chris Heston, and Chris Bassit went unrewarded. Hard to believe.

But given that our job at RotoGraphs is to give our readers advice as to how they should manage their fantasy teams, it’s only fair that I put my money where my mouth is and base my predictions, to the extent possible, on players I’ve recently endorsed. So, with that said, let’s get bold!

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Yesterday, I wrote up Rich Hill’s 2016 season, declaring him The Leader of Baseball’s Movementarians. In researching the piece, I dove deep into Baseball Prospectus’ Pitchf/x leaderboards. I wanted to find out what makes Hill’s fastball so dominant, despite its unremarkable velocity, and his curveball so effective, given its unimpressive whiff rate. I’m not an expert in pitching mechanics. I can’t breakdown video or tell you much about grips. For that, talk to Eno. But I found that Hill enjoys two distinct advantages that make his (essentially) two-pitch arsenal play up.

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I already wrote about Aaron Nola this year. So, too, have Eno Sarris, August Fagerstrom and Jeff Sullivan. He’s been a big deal.

When I wrote about Nola — barely a month ago, at this point — he kind of took the backseat to rotation-mate Vincent Velasquez, who had recently struck out 16 hitters in a dominant complete game. However, since VV’s first two starts, during which he struck out a combined 25 hitters, he hasn’t struck out more than six hitters in a single game and has shown lapses in command.

Meanwhile, Nola has, somewhat quietly, turned in one of the season’s best first six weeks. He ranks third in pitcher WAR (wins above replacement) behind Clayton Kershaw and the underrated Jose Quintana. But WAR is partly a function of playing time, so this might be an unfair comparison for, say, Kyle Hendricks, who has started two fewer games than Nola.

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In Ottoneu, like any fantasy format, small sample sizes to begin the season drastically impact the standings. The team with the worst pitching in your league has probably allowed more homers than expected. While the team in last place has likely has pitched the fewest innings. It’s easy to blow off these types of starts due the unsustainable performances that aren’t likely to continue (or to front-loading innings). I thought it would be fun to take a different approach today. So let’s play a game…

The rules: Pick 5 SP, total salaries for this rotation of $30 or less based on Ottoneu average values (round up $1 dollar). No picks with an average salary over $12. Arbitrary limitations, I know.

The goal: Build a 5 man rotation assuming you can bank all points that have occurred thus far with the goal of accumulating the most Fangraphs points by seasons end. Let’s make some picks.

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Last week, Eno Sarris posted what he called a starting pitching omnibus. He chronicled some thoughts on a handful of pitchers with more volatile stocks in the early goings. It covered a couple of the pitchers I’ll discuss today, sort of by coincidence, sort of by not-coincidence because Eno has hyped these guys since who knows when.

The reason why it is, indeed, sort of by coincidence is because two of the pitchers to follow twirled serious gems last week. And, amazingly, the trio of them all pitch in the same seemingly desolate, perceived-to-be-hopeless part of town. And by “part of town,” I mean Citizens Bank Park in Philadelphia.

Vincent Velasquez, Aaron Nola and Jerad Eickhoff comprise three-fifths of a pitching staff that leads the MLB in WAR, with 2.7. Sure, there was some sleeper hype in the rotation (that happens to be fronted, in name only, by Jeremy Hellickson, by the way), but to expect it to lead all of baseball in anything at any time would have been asking a lot. Yet, here we are, watching the Phillies’ dividends on rebuilding occur in real time. It warrants a dig deeper.

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Let’s throw some hyped names into the equation. After each name, I listed their NESN NFBC Average Draft Position (ADP) as of 1.15.16 followed by where I have them ranked without a position adjustment according to Rotochamp composite projections (1.12.16):

• Luis Severino: 158.50 ADP vs. 391 (-233)
• Raisel Iglesias: 166.72 vs. 148 (+19)
• Joe Ross: 209.61 vs. 358 (-148)
• Lance McCullers: 129.39 vs. 120 (+9)
• Aaron Nola: 233.39 vs. 288 (-55)

Rotochamp and Steamer grounds our expectations. If you adhere to their projections/these rankings, you might not land Severino, Ross or Nola. ADP on the other hand will make you reach at times. Eno provided a KPU-BB leaderboard (K% + Pop-up% – BB%) this past Tuesday. Here is another approach to ranking starters in addition to our Pitch Repertoire Scores.

Look to their peripherals and rank them by skills. Here is one subjective approach. I z-score the following skills and weigh each one by it’s correlation to expected ERA):

• zGB/FB+zIFFB%
• Average z-score between Ct% and SwStr%
• zK-BB%
• Average z-score between Soft% and Hard%

Summing up these four z-scores, we’re left with the following leader board (50 IP Qualifier):

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