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[D] Using deep learning models and advanced sports statistics to predict daily fantasy football scores for my capstone project

Hello again. Like I mentioned in another post I’m currently working on my capstone project proposal and I was interesting in researching deep learning models and do something about that. I appreciate the feedback I got regarding the stock price prediction proposal and in fact I got more or less the same feedback from my teachers.

I came up with the following project proposal and I was wondering if you can give me any further feedback about it, since my teachers have been stonewalling me on this matter: I want to use advanced sports statistics (basically FootballOutsiders’ statistics) along with traditional statistics and RNN to predict how many fantasy football points each player is going to score for a given week. I’m focusing on daily fantasy football since it’s easier to do without great point fluctuations that I would get trying to predict their season-long performance (due to injury, scheme change, coaching changes, etc). Then I would apply an optimization algorithm to come up with an optimal team that meets the salary cap constraint that most DFF competitions have.

I’ve researched a bit and didn’t find many studies dealing with this subject, and those that did focused on more basic models like linear regression.

Do you think it’s a worthwhile subject to work on?

Thank you

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.