Honestly Coachbo, there isn't much I can say to you if you think analytics and models are the tools of the lazy. I think you are intellectually lazy if that's your stance.
How much college basketball can you watch? Even if you watch 14 games a week, a total that approaches the hours you'd put into a full time job you're still only watching an incredibly small fraction of the games.
How much attention do you pay during the games? How do you select what games you watch? Do you form your impression from teams early and then move on? If so you might think Syracuse could be an all time great team or dismissed UNC as a bad team irrelevant to CBB this year.
There are 351 teams in 32 conferences and perhaps as many as 100 teams to start the season have legitimate tournament aspirations for the 68 slots.
It is physically impossible to watch enough college basketball to capture that amount information in your head. Even if you could that's beyond the scope of the human brain to process it effectively.
Analytics, models, and strength of schedule type metrics aren't the tools of the lazy, they are the tools of people willing to work hard to push past human limitations.
I think its lazy to dismiss them all with a broad brush and declare one's one perception as king. Human perception sucks and is prone to bias that makes your conclusions skewed. Its especially bad when you have very incomplete information.
For example I watch very little Pac-12 basketball because of my timezone and my TV package. Does that mean its not good and their aren't good teams out there?
They're just another tool to use, ones which take an awful lot of work to understand and create.