Archive for Starting Pitchers

01/16/19

The latest episode of “The Sleeper and the Bust” is live. Support the show by subscribing to Fangraphs! With a standard $20 membership, you help maintain and improve our database of stats and graphs as well as our staff of 8 full-time employees and over 50 contributors. The premium ad-free membership at $50 year supports site growth and also includes faster load speeds and better site performance. You can also support monthly for just $3.

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• @sporer – Host
• @pitcherlist – Co-Host/Producer

NOTABLE TRANSACTIONS/INJURIES/RUMORS

• Gerrit Cole (3:00)
• Charlie Morton (9:17)
• Yu Darvish (15:33)
• Frankie Montas (24:58)
• Aaron Nola (33:22)

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*Bad in this case is a 4.50 ERA or higher^ in 2019

^Except for one guy, who had a 4.49

Yesterday I looked at some quality four-seamers, sliders, and cutters coming from these so-called “bad” pitches – again, we’re talking about bad in the fantasy realm as most leagues won’t have major use for someone with an ERA north of 4.50 – and today we’re looking at changeups, curveballs, and splitters.

CHANGEUP

Lg. average: .653 OPS, 22% K, 17% SwStr, 38% Chase

Daniel Norris, DET | .532 OPS, 31% K, 20% SwStr, 42% Chase

Here’s our guy with the 4.49 ERA, by the way. Norris also had a solid slider, but like so many guys I covered yesterday, his fastball held him back. He allowed a 1.024 OPS with his heat including 19 of his 25 home runs. Homers have been a career-long issue for Norris, too, but especially the last two years with a 1.6 HR/9 in both seasons.

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*Bad in this case is a 4.50 ERA or higher^ in 2019

^Except for one guy, who had a 4.49

We all know that ERA isn’t an end-all, be-all on skill, but those of us in the fantasy realm don’t roster guys with ERAs at 4.50 or higher so using that as a cutoff for this exercise felt right. The purpose here is to find some useful pitches these guys could build upon to get them on the right side of a 4.50 ERA going forward.

As for what determines a good pitch, I took a look at the average OPS, K%, SwStr%, and Chase% among starters with at least 700 fastballs thrown and 200 thrown of all the other pitches (slider, curveball, changeup, cutter, and splitter) and then found the strongest offerings of each pitch from those who struggled in 2019. The pitches didn’t have to be better than average in all four categories, but at least two of the four and in most cases, it’s better than three of the four.

I’m going to make this a two-parter with four-seamers, sliders, and cutters today and curves, changeups, and splitters later this week (probably tomorrow).

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When Alex Wood reached an agreement with the Dodgers on a one-year, $4 million contract on Sunday, it didn’t quite get the attention of, say, Gerrit Cole’s megadeal with the Yankees. The Dodgers are bringing the 29-year-old lefty back after a one-year hiatus in Cincinnati to compete for the fifth spot in the rotation, so it shouldn’t have been a headline-grabbing move. Yet it has only been three years since Wood was one of the biggest stories in fantasy, ranking as a top 10 starting pitcher despite totaling 152.1 innings. After having missed much of 2016 with an elbow impingement, Wood went 16-3 with a 2.72 ERA, 1.06 WHIP and a 24.6 percent strikeout rate.

If 2019 hadn’t happened, this would have been a much more celebrated move, but as it turns out, 2019 did happen. Wood developed back issues in spring training, and he did not make his debut with the Reds until July 28. He started off decently enough, allowing two runs in each of his first two starts, but then he went on to roll off a string of four starts that produced 18 runs (16 earned) in 18.1 innings. He rebounded with a quality start against the Marlins, though all three runs he allowed were solo homers, giving him a total of 11 allowed in 35.2 innings. After that start, Wood’s back stiffened up again, and he would not take another turn in the Reds’ rotation. He finished with only one win and a 5.80 ERA.
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I recently released my top 125 starting pitchers for 2020 and I couldn’t believe that nobody had a single question about them and everyone who saw them found them to be perfect top to bottom. OK, dumb joke. Anyway, I appreciate everyone getting in the comments and discussing the rankings with me. I’m still responding to questions and comments if you want to ask me about someone in the rankings.

Today I want to look the biggest differences between my rankings and the early average draft position (ADP) information at the NFBC in their Draft Champions leagues (50-round draft-and-hold format). On their list, they group all pitchers together so I took out the relievers making it more of a 1:1 comparison with my SP ranks. This will be a two-part piece with the first being the pitchers where I’m higher.

10 Where I’m Higher

Jeff Samardzija, SF | 107th SP in ADP; 52nd SP by me

I wouldn’t even say I’m a huge fan of The Shark, but his current ADP seems like a great price for someone who finished 33rd among SP on Razzball’s Player Rater last year. Even if you don’t fully buy the 3.52 ERA, he offers high volume with a strong WHIP. At the very least, he has Oracle Park protecting him for half of his starts. It’s a boring investment, but I’ll gladly take him outside the top 100 SPs.

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01/09/19

The latest episode of “The Sleeper and the Bust” is live. Support the show by subscribing to Fangraphs! With a standard $20 membership, you help maintain and improve our database of stats and graphs as well as our staff of 8 full-time employees and over 50 contributors. The premium ad-free membership at $50 year supports site growth and also includes faster load speeds and better site performance. You can also support monthly for just $3.

Follow us on Twitter

• @sporer – Host
• @justinmasonfwfb – Co-Host/Producer

STARTING PITCHER RANKING REVIEW: Paul’s, Justin’s 

• Guys Justin Didn’t Rank in Paul’s Top 100
  • Josh Lindblom (2:34)
  • Merrill Kelly/Matt Shoemaker (6:08)
• 6 Major Differences: Paul’s Higher
  • Dylan Bundy (10:15)
    • Jeff Samardzija (17:55)
  • Ryan Yarbrough/Yonny Chirinos (20:50)
  • Jake Odorizzi (25:18)
  • Jordan Lyles (30:15)
  • Aaron Civale (32:47)
  • Max Fried (38:42)

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Hello Draft Season!

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It’s time.

After offering up a first run all the way back in mid-August, I let the rest of the season play out but since then I’ve been working on SP rankings day-in and day-out. I contributed the starting pitcher section to the 2020 Fantasy Black Book so I had a working ranking for that but even since then (it was due back in early-December), I’ve made a ton of changes.

As you know, I feel there are globs of talent throughout the SP rankings wherein a 20, even 30 spot difference isn’t as vast as it seems because we’re splitting hairs between very similar arms and yet even knowing that I still agonize over the slottings and move guys up or down 2-3 spots like crazy before posting a new set of ranks. I decided on 125 for this one after paring down a list of 156 and yes, some of those remaining 31 are just as good as the last 7-8 on the list, but I had to cut it somewhere.

You’ll see tiers set up by the blue bars and that indicates the beginning of a new tier, but even those were hard to decide upon except the one starting at 99 which marks a group of prospects who I parked at that level because none are likely to make a rotation out of spring but all could be impactful at some point in 2020.

Enough chatter, let’s get to the rankings and start discussing them in the comments below. Again, if you think #44 should #38, I’m less interested in that as I probably agree that he could be. Let’s focus on the bigger splits, like if you feel #77 should be #40 or #28 should be #66, etc… Of course you can also just make comments or ask questions about a pitcher without relating it to their ranking. I’m open to discussing my thought process on any of the 125 pitchers.

These will be updated again in February and then once more in early March.

Check out Justin’s Top 126 SPs.

Note: these are catered for a roto league of 12-15 teams

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I going to examine how both Hyun-Jin Ryu‘s and Dallas Keuchel’s fantasy value changed since both signed over the last few days.

Hyun-Jin Ryu signs with the Toronto Blue Jays

Ryu finally pieced together a great season by staying healthy and throwing more innings (182) than any time since 2013 (192). While his strikeout rate was acceptable (23%), he dominated (2.32 ERA) by walking almost no one (3%) and in the juiced ball era, he limited home runs (0.8 HR/9) with a surge in groundball rate (50%).

I hate this move for Ryu’s value with every aspect being a downgrade from the Dodgers. He moves to the AL where he’ll face a DH more often. He goes to the hyper-competitive AL East. He transitions from a pitcher’s park to one that is neutral overall but gives up more home runs than average. Finally, he goes from a nearly average defense to one in the bottom third.

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Last year, I took a stab at developing what might be loosely defined as park factors using Statcast data. (I called them park “impacts” because they lacked the requisite rigor to be true factors, although it’s all semantics, truly.) I sought to use Statcast’s expected wOBA (xwOBA) metric, specifically on batted ball events (BBEs), such that we would have a measure of xwOBA on contact (or xwOBAcon). This metric accounts for exit velocity (EV), launch angle (LA), and little else — which makes it perfect for this purpose.

The difference between actual and expected wOBA on contact indicates the amount of luck, whether good or bad, a hitter might have incurred on a particular batted ball event. In other words, given ‘X’ exit velocity and ‘Y’ launch angle, what is the most common wOBA outcome, and how much did the actual wOBA outcome differ from it?

The beautiful part about xwOBAcon is it strips away all other context. It removes elements that confound other park factor calculations, such as hitter and pitcher quality or even sequencing (vis-à-vis run-scoring). Except for fielding. Can’t control for fielding, unfortunately.

With this approach, we have the exit velocity. We have the launch angle. We have historical results for that particular combination of EV and LA to use as a benchmark. And then we compare.

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