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<blockquote data-quote="ibeattetris" data-source="post: 926008" data-attributes="member: 1175"><p>I want to begin with saying I agree with you. I do want to raise legitimate counter points though. </p><p></p><p>If you look at the recent trends of coaches like Lane Kiffin going for it a lot on fourth down, the coaches are publicly ridiculed when not going with the conventional “put points on the board”. Some very advanced machine learning services have developed with good accuracy the appropriate time to kick, punt, go for it, but breaking away from conventions can get you fired. It’s the same reason why no one beside GT took a shot at a CPJ style OC despite proven success at GT. </p><p></p><p>GT current wears those chest straps (I forget what they are called) which is supposed to be able to help keep track of player max throughput and when they need to rest. If we added other wearable devices like oura rings or whoop bands and they could start guaging readiness levels in the weight room. I think these sorts of things are why we need some sport/health/technology based engineering major as these devices become more prevalent. </p><p></p><p>As for other uses of AI, I think the main problem you will run into at the coaching level is there aren’t enough plays in games to build big enough data sets. Add in how much changes within season, and it becomes hard to even train data sets. You can maybe try to develop tendencies for a play caller over the course of their career, but again, different personnel and lack of data may make it challenging (still probably worth pursuing). I also assume there is already work in this space (and possibly even available already).</p></blockquote><p></p>
[QUOTE="ibeattetris, post: 926008, member: 1175"] I want to begin with saying I agree with you. I do want to raise legitimate counter points though. If you look at the recent trends of coaches like Lane Kiffin going for it a lot on fourth down, the coaches are publicly ridiculed when not going with the conventional “put points on the board”. Some very advanced machine learning services have developed with good accuracy the appropriate time to kick, punt, go for it, but breaking away from conventions can get you fired. It’s the same reason why no one beside GT took a shot at a CPJ style OC despite proven success at GT. GT current wears those chest straps (I forget what they are called) which is supposed to be able to help keep track of player max throughput and when they need to rest. If we added other wearable devices like oura rings or whoop bands and they could start guaging readiness levels in the weight room. I think these sorts of things are why we need some sport/health/technology based engineering major as these devices become more prevalent. As for other uses of AI, I think the main problem you will run into at the coaching level is there aren’t enough plays in games to build big enough data sets. Add in how much changes within season, and it becomes hard to even train data sets. You can maybe try to develop tendencies for a play caller over the course of their career, but again, different personnel and lack of data may make it challenging (still probably worth pursuing). I also assume there is already work in this space (and possibly even available already). [/QUOTE]
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