Beat the Streak 2016: Looking for Help

For anybody who is interested in developing strategies to beat the streak using statistics or machine learning for the 2016 season and beyond, get in touch with me at The past six months or so I have been developing statistical models and designing algorithms to automate the pick selection process, and now I am looking for like-minded people to help me improve my methods. If you are interested in working together on this problem, let me know and we can start sharing ideas. I have a repository and a fairly nice python framework for predicting the most likely players to get a hit every day. However, the accuracy of my models are still ~10% lower than my target. I think if we can develop a model that correctly picks a player 83-85% of the time, then we have a pretty decent shot at winning this thing (by "pretty good" I mean like 1000 to 1 odds). To get a sense of what I've been doing to solve this problem so far, check out this paper and this blog post. I have done some other work on the problem that I haven't written about yet that I can share as well. Hope you decide to reach out to me!

Related Links:
Beat the Streak: Day One
Beat the Streak: Day Two
Beat the Streak: Day Three
Modeling Baseball At Bats


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