My approach to ranking/selecting pitchers in GPP formats on DraftKings is broken into three parts.

1. How good is the pitcher? This may sound overly simplistic but I’ll never use a pitcher unless I believe he has a high likelihood he can get outs consistently. I use three statistics primarily to evaluate a pitcher: strikeout rate, hard hit rate and hit distribution (ground balls and fly balls). Strikeouts are not the end all, be all because there are different expectations based on the pitchers salary. Strikeouts are very important, but they need to evaluated and rooted in the second part.
2. What is the pitcher’s salary? There different point expectation levels for each salary range. A pitcher with five digits implies he is going to provide 27-plus points (usually with a lot of strikeouts) and the likelihood of that are high. A pitcher below $7,000 means expectations should be lowered. Therefore, expect 10-14 points with the expectation he could score in the single digits. When evaluating a pitcher below $7,000 I’m looking for a quality start with moderate strikeouts (4-5) over 6-plus innings. The reason why is these pitchers may not have the ceiling as the pricier pitchers, but they may the higher ROI potential. By that I mean, if a $6,500 pitcher provides 19 points that’s better than a $11,000 pitcher providing 27 points because the ROI (return on investment) is better. Or in other words, you’re making more points per dollar spent.
3. Who is the pitcher playing and where is the game? Everyone uses Coors as an example as a place where to not choose a pitcher, but let’s take it a little further. Obviously you don’t want a pitcher pitching in Coors, but what about a fly ball pitcher in Milwaukee? I’m not using a fly ball pitcher in that ballpark because the likelihood of home run is higher than in another ballpark like Oakland or Minnesota. The initial team statistics I look at is wOBA and hard hit rate against the handedness pitcher. These statistics quickly provide insight into how effective the offense is. It’s very important to take these statistics into context because players may have been injured and come back into the lineup. The next team statistic is strikeout and hit distribution against the handedness pitcher. For example, if a team hits a lot of ground balls, the pitcher generates a lot of ground balls and is only priced $6,500 odds are I’m going to use him.