As an avid streamer, one of the biggest factors I check on fangraphs is opponents last 14 or 30 day offensive stats. Generally I focus on wOBA, bb%, k%, and ISO. In certain situations checking how a team hits LHP can help as well as well as home/away splits.

Dammit.

One little wrinkle – has anyone else noticed that it doesn’t seem to filter the date by one-digit numbers? If I put in a ’2′ to get streamers for this Thursday, it doesn’t filter at all. I assume it’s giving me *every* date that has a ’2′ in it.

Which will be the case for pretty much the next thousand years…

Now, it’s not relevant to your claim that streaming successfully can’t be done.

You can take the spreadsheet I put together and see if you can improve on that. Doubt it. But FIP alone will come pretty close.

I’m not a fan of large-scale streaming as a similar-minded leaguemate or two can kill any potential edge (if there is one). But the aim of the tool – including future iterations – is to help readers make the most educated decisions.

started *two* pitchers is ordinarily wouldn’t have, but they had great ranks on the stram-o-nator;both were great with good ks and two wins!

when streaming, i just make an educated guess based on what i know about the pitcher the park and the opponent; its really nice to be able to have some numbers on the guys i dont know so well

well done!

On a different note, what are your thoughts on starting pitchers at the beginning of the week in H2H?

For example, I saw that Grey recommended sitting Scherzer @Bos today in a Roto league. Should he also be benched in a 10-team H2H? Or is his K potential worth the risk? I expect all pitching cats to be close this week…

This is just begging for a follow-up post with the following analysis. I would do it myself, but then again I don’t write for a popular fantasy baseball blog.

(1) Seperate SPs into about 10-12 tiers based on pre-season valuation (expert rank or ADP).
(2) Determine 2012-to-date average per-start performance for each tier.
(3) Determine the per-start performance of each tier using only the top 1/3 of streamonator-scored starts.

This would allow your readers to decide whether or not to stream using their particular league’s settings. For example, lets say I own 4 SP, and I’m streaming a 5th spot. My SPs are tier 2, 3, 4, and 5 SPs. If I streamed, I’d have to stream tier 7 or tier 8 guys because I know tier 6 and above are almost all owned in my league. Should I drop my tier 5 SP to stream a bunch of tier 7/8 guys? How good would a pitcher have to be in order for me to pick him up at the expense of continuing to stream? Those are the questions that are important to those of us in your audience who are not already RCL uber-streaming devotees.

I’m really not buying the premise that we’ve got something as far as concerns predicting individual game performance of a pitcher. I know for a fact that the numbers aren’t there to back it mathematically (not yet) and I’m predicting that Rudy’s methodology, which can be validated mathematically, will not have much success. I get the sense that Rudy knows this too if you look at his concluding words in the post.