If only there were a way to synthesize many different data points into a coherent ranking ....
Oh wait, there is! The Sagarin & Massey computer rankings.
Wash: #7 Sag / #9 Mas
Ore St: #12 / #10
Stanford: #10 / #11
UCLA: #13 / #12
Yeah, I certainly trust them more, but they too can be fooled with a lack of quality data to input and the Pac12 more than other conferences because of the travel issues starves them of quality input for their systems. The five teams I listed are the top five in the Pac12 and the total quality OOC play from those teams are:
Oregon State - zero quality OOC games, with a bad loss to Marquette on their home court.
Washington - one quality OOC game, a loss to ND away.
Stanford - two quality OOC games, a win against TX at home and a loss at TN, and a bad loss to Gonzaga at home
UCLA - two quality OOC games, both losses on the road to Baylor and SC
AZ State - two quality OOC games, loss to MD at home and a win at KY (not sure how quality that is but...) and a bad loss to Marquette.
That works out to 1.4 quality games per team OOC and more importantly 0.4 quality wins per team, and 1.0 quality losses per team, AND o.6 bad losses per team. That is seriously sparse data so most of what they are dealing with is whatever initial assumptions were made, and them performing well against the dregs of their schedule and not laying too many eggs in the mediocrity of the 30-75 range of teams they played.