Archive for Adam Wainwright

In the second installment in my series on the factors impacting components of BABIP, I move on from flyball BABIP for pitchers to ground ball batting average for pitchers. This analysis produced one result that really surprised me: whether or not a pitcher has a tendency to allowed pulled grounders does not have much of an impact on the ground ball batting average they allow. I didn’t anticipate this, because hitters put up a collective .180 batting average on pulled grounders in 2019, but a .306 average on all other grounders. For pitchers who allowed at least 225 grounders in seasons between 2015 and 2019 (n=286), the negative relationship between pull rate and ground ball batting average allowed (GB Avg) was significant at p < .05, but with just an .012 Pearson’s r.
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A little more than a year ago, Alex Chamberlain and I looked into what type of impact a slew of Statcast measures had on a pitcher’s overall BABIP rate. Hard-hit rate and exit velocity on ground balls (EV GB) had the strongest correlations, but it seemed unlikely that the latter would have much to say about which pitchers would be best at limiting hits on flyballs in play. In general, it seems that BABIP could be influenced by different factors depending on the type of batted ball.

So let’s test that out. This column is the first in a series of four where I will be looking at the impact of various measures on flyball BABIP and ground ball Avg, both for pitchers and hitters. I’m kicking this off with an analysis of flyball BABIP for pitchers.
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It won’t likely come as a shock that, as we have one of our final opportunities to stream pitchers, there are few widely-available options worthy of our trust. In his recent piece on starting pitcher streaming options for the final weekend, Nick Pollack identified three pitchers from Friday’s slate who could be available and have some appeal. However, none of the three are likely to be on waivers in deeper formats.

In this column, I typically consider only pitchers who have an ownership rate of 25 percent or lower in Fantrax leagues, and even with setting the bar for availability fairly high, a couple of the pitchers featured here are at least worthy of consideration for your Friday rotation.
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Identifying pitching breakouts as they happen can be hard. Anticipating them, even harder. Savvy readers of sites such as this rely on plate discipline metrics, batted ball data, and other indicators designed to tease out luck from results in order to uncover which performances have staying power and which are fleeting. And while we’ve arrived at the point in the season when most pitching rates have stabilized, a simple change in pitch mix can render those indicators obsolete. Think Matt Shoemaker and his splitter, Jake Arrieta and his cutter, Max Scherzer and his curveball, or Sonny Gray and his slider.

If you can spot a pitcher pulling unexpected arrows from his quiver as he does it, then cheers to you. But it’s difficult to do that at scale. While trying to anticipate a change in pitch mix before it happens may seem futile at times, doing so is a bet on potential. And what we talk about when we talk about “stuff,” is really potential. One of the components upon which that potential relies, aside from command and health, is an optimal pitch mix.

To identify which pitchers could benefit by throwing their more effective offerings a little more frequently, we have a number of tools at our disposal. Today, we’ll use some of those tools to identify the league’s underthrown four-seam fast balls and sinkers and the pitchers who underthrow them.
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I’m a dweller in general. In slow drafts, I am the ultimate dweller. In the past, I would have ten+ tabs open at a given time when my draft slots were approaching: FanGraphs player profiles; RotoGraphs consensus rankings; Brooks Baseball Player Cards; BP’s PITCHf/x leaderboard; Rotoworld player news; the list goes on.

Then, prior to draft season, Jeff, Eno and I worked on these Arsenal Scores so that you can compare pitcher repertoires. You now have a go-to pitcher matrix if you’re dwelling on a cluster of pitchers.

Last week, Jeff Zimmerman furnished this glorious Hitter Analytics post, which provided us with a go-to hitter matrix when we’re dwelling on a cluster of hitters.

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According to ERA, the Cardinals had the sixth best starting staff in 2014. But according to both WAR and xFIP, they were only the 17th best staff in the league. Every starter who threw at least 100 innings for the Cardinals had an ERA that was much lower than their xFIP/SIERA. Combined, the gap between the staff’s ERA and xFIP was -0.36, the third largest negative gap in the league. And our depth charts/projections don’t have any have any Cardinal starter significantly outperforming his peripherals again. Read the rest of this entry »

Mock. Yeah. Ing. Yeah. Draft. Yeah.

You can follow our 12 team, standard 5×5 roto mock draft. Else, here is a summary of the first two rounds and our first outfield battle.

My first battle is my self-battle on Zack Greinke. After 63 picks in, I tweeted an image of my rankings, which had Zack Greinke literally all alone at #23 overall. Everyone else in the top 40 were gone by pick 63 except for Greinke and Prince Fielder whom I wound up drafting once pick 6.72 came around.

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I spent an hour trying to find something relevant to say about the last two weeks of the season but was unsuccessful. Or at least there was no topic worth spending several hundred words on. If you’re looking for a two start streamer in what is likely the last week of your H2H playoffs, look at Blue Jays Marcus Stroman and Drew Hutchison. They’re the most talented pitchers owned in less than 50% of ESPN.com leagues in terms of K-BB% and OPS allowed on balls in play (aka limiting hard contact). Instead, let’s spend a few hundred words quickly running through a way too early top 10 SP list for next year. Read the rest of this entry »

I wanted to highlight Pitcher over and under performers. Naturally, Mike Podhorzer has already done that and more concisely and eloquently than I ever could. In conjunction to what he did (ERA vs. SIERA within this year), I wanted to look at pitchers’ skills and luck relative to last year.

By “skills” I mean K%-BB%, combined Contact% and SwStr%, GB/FB and IFFB%. These columns are in green.

By “luck” I mean BABIP, LOB% and HR/FB. These are in some emotional shade of red.

I took all the 2014 vs. 2013 differentials and z-scored them. I summed them up and presented them under column 3 (“SKILL”) and column 4 (“LUCK”). In short, these are not their skill and luck scores for 2014, but their change relative to 2013…in relation to how much everyone else from this list changed (50 IP qualifier).

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By true definition, at least by Aesop’s fables, the turtle represents the old adage, “slow and steady wins the race.” By our definition, at least how Eno laid it out, the fantasy turtle is the best buy-low/waiver pick-up that dominated in the second half of the season. While some of our awards were fairly unanimous, this one wasn’t, as nine players received votes. Again, the title of the piece tells you that Kris Medlen won, but let’s look a little further into it. Read the rest of this entry »