That makes sense. It's actually kind of overwhelming when you think about all the variables that go into projecting what a player will do. That blend of analytics, eyes on the player, ball park factors, etc. is kind of fascinating. Even though it's interesting, it's not something I'd want to do, myself.
In my line of work - we rely on predictive models and AI and Machine Learning is having a huge impact on that (I could talk for hours about that). I wonder if baseball is doing the same? I would imagine so. AI and ML are game changers when it comes to predictive models.
Like I said earlier, I used to spend hours watching high school basketball players. I enjoyed seeing players before they made an impact in Div. I basketball or went on to become NBA players - but I was often a horrible judge of talent. I think projecting and evaluating baseball players would be even harder.