At some point over the last calendar year, we added K%-BB% in our advanced stats tab. It appeared without warning, and I’ve been using it ever since. The statistic captures pitcher dominance in a way that can be lost using K/BB. For example, Aroldis Chapman’s 4.42 K/BB is good (25th among qualified relievers). His 40.6 percent K%-BB% ranks first by over five percent.

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I am huge proponent of the pitch type work which has led to the Arsenal Score here are FanGraphs. One possible issue with pitch type data is a reasonable amount of data needs to be collected before any conclusions could be draw. I am going to take it a step further today and look for MLB ready fastballs knowing just the pitcher’s velocity and break. Just knowing how the pitch’s speed and trajectory, some conclusions can be drawn on how the pitcher will perform in the future.

This past summer, I found how to estimate a pitcher’s fastball ground ball (GB%) and swinging strike rate (SwStr%) knowing just the velocity and break. The ground ball rate was the same for all pitches while the swinging strike rate varied a bit. Well, I went into meld/average mode to come up with a method to find a simple way to determine how productive a fastball may be knowing its current break and speed.

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Allow me to start by saying that I really dislike holds as a category. Saves plus holds makes plenty of sense – you’re basically telling owners to draft the best relievers regardless of role. Separating the two baffles me – at least in a standard league. I’m sure there are some unusual league configurations where it can work. I don’t like the category, but I still have to live with it in some leagues. What follows is how I cope with with holds.

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The FanGraphs slow mock is complete – huzzah! While I did not participate, I did occasionally peek in to observe. The 22nd round struck me as curious. Four non-closing relievers were drafted in the round including three names that could have been picked ahead of David Robertson (late seventh round) if they had a closers gig. Let’s take at the value to be had late in the draft.

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Mat Latos began and ended his 2014 season by missing time because of injuries. Between the two layoffs, he seemed to produce like he did in the past with a 3.25 ERA (3.34 for his career). One difference between his previous couple of seasons and 2014 was a huge drop in strikeouts. They went from 8.0 K/9 in both 2012 and 2013 to 6.5 K/9 in 2014. The biggest reason for the decline in strikeouts was a near 2 mph drop in his fastball velocity. This off season he was traded from the Reds to the Marlins where he hopes regain some of the zip on his fastball, but I wouldn’t count on it.

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Allen Webster was on my “to investigate” list because his strikeout rate was low compared to the number of swings-and-misses he got in 2014. The numbers intrigued me enough to watch one of his starts for one of my Quick Looks (full report on Friday).

What I found is he can’t/doesn’t throw pitches in the strike zone. Hitters need to chase his pitches out of the strike zone if they want to make contact. Most of the time they don’t though.

In an effort to figure him out further, I found out how much to adjust a pitcher’s predicted strikeout rate knowing his strike zone percentage and swinging strike rate, but it doesn’t make a huge difference.

Time for a little math. A simple way to estimate a pitcher’s strikeout rate (K%) is to double their (SwStr%). Taking all of the 2014 pitchers (min 50 IP), the r-squared between K% and two times the SwStr% (pK%) is 0.66. Good, but not great. Usually early in the season, I look for pitchers with high differences between these two values to find potential break out or bust candidates.

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So many things happened. Everyone was traded. Everyone was released. And everyone was signed. It’ll fuel RotoGraphs pieces for weeks to come. You’ll see more in-depth pieces on these guys. But, with the dust settled, it seems like a good time to run all through some of the players that changed addresses, and talk a little bit about how they may have changed their fantasy outlooks for the coming season.

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Jose Fernandez was having a dominating 2014 season until he needed Tommy John surgery last May. The 22-year-old righty could be one of the more dominant arms in the game when he returns. Fantasy owners would love to have him available mid-season as a boost their team.  While he is on the disabled list (DL), some other pitcher must be filling in for him. Fernandez’s projection should include this replacement pitcher’s production. Here is a break down of how I put on value on players who will miss significant time.

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Well, I will take one for the Rotographs team and publish our first rankings to get torn part. I am going with the simplest of all pitcher rankings …. strikeouts minus walks. Basically, how much easily measurable talent does a pitcher have. Can the pitcher strikeout hitters? Does he not walk many? Can he keep pitching for an entire season? Just by running this simple formula and creating a graph of the rankings, some initial thoughts can be formulated for the 2015 draft/auction season.

For the rankings, I used our Steamer projections. These numbers can be re-run at a later date with other projections for more clarity. The entire list is available here. In addition to the list, I have the top 100 pitchers ranked. What I look for now is tiers are any pitchers group together. I like to get one of these pitchers before the talent level drops off.
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I really like using relievers in fantasy baseball, especially the elite kind. I might harp a bit on this subject. It’s hard to purchase more than one Craig Kimbrel or Aroldis Chapman because they often cost over $20. While I shouldn’t pay $100 to roster the top five closers, it’s usually justifiable to spend more than the minimum on your bullpen.
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