K-tec wrote:MadDogSHWA wrote:Even if it makes you take a better look at a player or two there is value here.
I've been a software dev full time since 2007 and AI is still in it's infancy which is why K-Tec doesn't sound confident.
I'd like to add that Watson is crunching data to make the best pick, and am confident that Watson will make the right choice based off of the data. But there are other important factors that Watson won't be able to measure (ie. Basketball IQ, heart...) which are just as important and that will be decided by Masai.
I feel like there is enough historical data for drafts going back to the 90s for college stats + highschool stats + pick ranges + actual NBA performance since that you would be able to get some okay machine learning going
that way you aren't taking the 2016 draft class as the starting point, and some correlations between college stats and NBA success are included in analysis in 2016.
But again, its subjective because you also need to analyze the "soft" factors like you mentioned. Maybe its as easy as having a range of analysts rank prospects on IQ/Heart on a number scale, might not be the best way to do it, but it can add that factor quantifiably and using an average of unbiased users may bring the rating scale to the truth
I feel like this would be best for finding "diamonds in the rough" for the late 1st or 2nd round - but even then, it would be a tool to see names you maybe didn't look at in the conventional ways - and it may skew performances in lesser conferences/leagues if the raw starts are stronger
Watson's a smart guy tho, hes good at chess right































