Archive for Starting Pitchers

Late-Round SP Targets – Glasnow, Gohara and Gibson

I often struggle to come up with players and topics to write about this time of year. Thankfully, colleague Justin Mason has provided me with something to piggyback off of. He’s done an awesome job rounding up participants and conducting industry mock drafts, and you can check out the ADP from those here. The ADPs will change as players change teams and roles change for individuals, but this is a great starting point. Using that data, three pitchers stood out as enticing dice rolls in the 300-plus range. Read the rest of this entry »


Early Mock Thoughts: Starting Pitcher ADP

Yesterday, the Justin Mason posted the ADP from four of the slowest drafts containing industry experts and myself. One thought I had after a handful of rounds was the lack pitching available and how the good were the available hitters. I decided to go back and examine draft results from last year and these draft to see if pitching was being taken early. While it wasn’t, some other information could be extracted.

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Andrew Cashner’s Strange Path to Fantasy Relevance

Andrew Cashner did not get much respect from fantasy owners this season. Given that he finished with the highest contact rate and lowest swinging strike rate for any qualified starting pitcher, it may look like he was undeserving of widespread ownership. Cashner’s 12.2 percent strikeout rate was lower than all qualifiers, except for Ty Blach, and that paucity of Ks usually doesn’t bode well for one’s fantasy value. Not only does it put an owner behind in the strikeout category, but K-rates inversely correlate with ERA.

Run prevention was not a problem for Cashner, as he ranked 15th among qualifiers with a 3.40 ERA. On the basis of that, along with 11 wins, a 1.32 WHIP and just 86 strikeouts, Cashner was a top-70 starter, both in Roto value (per ESPN’s Player Rater) and in CBS fantasy points. That may not sound like a big deal — okay, it’s not a big deal — but it does mean that Cashner was more valuable than several more popular starters. For example, the 31-year-old outearned Tanner Roark, John Lackey and Sean Manaea in Roto value and amassed more CBS fantasy points than Taijuan Walker.
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World Series Game 1 SP Matchup Notes

Here is a look at some of the performance data for each team based on tonight’s matchup: Dallas Keuchel v. Clayton Kershaw. Links to the data where available.

The Dodgers v. Dallas Keuchel

  • After a disastrous year vs. lefties in 2016 where they finished dead last in wOBA (.275) with a 22.4% K rate (13th-highest), they’ve soared to 5th in wOBA (.337) while standing pat in K rate at 22.3% (10th-highest).
  • They’re 12th in wOBA (.281) against lefty sliders, Keuchel’s most-used secondary pitch (19%).
  • They’re 6th in wOBA (.334) against lefty changeups, Keuchel’s best secondary by pitch value (6) which he used 13% of the time.

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2017 pERA Update With Exit Velocity Grades

Last offseason, I created an individual pitch metric, pERA, which gives each pitch an ERA and prospect grade based on its ground ball nature and swing-and-miss capability. With the 2017 season over, I’ve compiled the final 2017 values. This year, I’ve added in exit velocity (EV) grades for each pitch.

The process I used for creating pERA is in the article linked above but here is a quick rundown.

  • The key change is to give each pitch an ERA value (pERA) based on the pitch’s swinging strike and groundball rate. All the values are based on the average values for starting pitchers. Closers will have higher grades because their stuff plays better coming out of the bullpen.
  • The pitcher’s control is determined from their walk rate which is separate from the pitch grades.
  • I’ve put each pitch on the 20-80 scale with 50 being average, 80 great, and 20 horrible. For starters, target pitchers with three average or better pitches. For relievers, they just need two pitches.

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Pitchers with Divergent Strikeout (& Walk) Rates (Part 2)

Last week, I examined pitchers whose strikeout per nine (K/9) increased while the strikeout per plate appearance (K%) dropped. This article focuses on the pitchers who saw their strikeout rates go in the opposite directions. Besides the strikeout divergers, I’m going to include the walk rate divergers since both player sets aren’t long.

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Pitchers with Divergent Strikeout Rates (Part 1)

The season seems to never end for fantasy baseball writers. Once the regular season is over, it’s time to begin writing player previews for the next season. Pitchers who’ve had their strikeout (K% and K/9) and walk rates change in different directions spin me for a loop. Now, I query these schizophrenic pitchers to start the preseason previews. I’ll give a quick look at some of these pitchers. I’ll start with those pitchers who’ve seen their K% (strikeout per batter faced) drop while K/9 (strikeouts per nine innings) increase.

Two reasons exist for why the rates diverge. The key for both is increasing the number of plate appearances per innings. More plate appearances lead to their K% dropping if the strikeouts remain constant per inning. The other factor is how many hits a pitcher allows (basically BABIP). If a pitcher had good luck on balls in play and recorded more outs, they could quickly get through an inning and thereby raise their K%. Once the BABIP normalizes, the K% will drop.
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Reviewing The 2017 Starting Pitcher Strikeout Rate Downsiders

Yesterday, I reviewed my 2017 starting pitcher strikeout rate upsider list, which produced embarrassing results. Let’s hope the downsider results look much improved. Once again, this list was compiled by using my pitcher xK% equation to identify starters whose 2016 xK% marks were significantly above their actual K% marks.

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Reviewing The 2017 Starting Pitcher Strikeout Rate Upsiders

At the beginning of January, I used my xK% equation to identify six starting pitchers with significant strikeout rate upside in 2017. Let’s see how these pitchers actually performed.

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Reviewing 2017 Pod’s Picks & Pans — Starting Pitcher

Alas, we reach the final position to dive into for this year’s recap of Pod’s Picks & Pans. We finish with the starting pitchers, a group that always garners varying opinions. Let’s see how the players I was most bullish and bearish on versus the RotoGraphs consensus actually performed.

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