I have to say that while I find both regular statistics and advanced metrics interesting, I also find that they often do not pass the simple eye test. Standard stats have always been limited in team games and so statisticians began looking at other possible measures. This started seriously in baseball which while being a team game, is a team game comprised of almost completely individual plays - one offensive player (batter) against a team of defensive players. The traditional stats did not take into account things like range of a defensive player, pitchers whose defensive teammates were poor, batters who produced little in clutch situations, etc. The use of advanced metrics, and their calculations were fundamentally pretty easy because every play was fundamentally pretty easy to evaluate.
Advanced metrics have now moved into team games where you have in football 11 defenders all interacting against 11 offensive players on each play or in basketball 5 defenders all interacting against five offensive players, and in both games you have a constant rotation of players on both teams with very different skills and talent levels as well as fundamentally different offensive and defensive strategies from one 'play' to the next. It makes the individual player evaluations much more complex and open to very different interpretations by different evaluators. What is supposed to be 'analytical' and 'objective' is in fact very 'subjective'.
Examples - Moriah played a brilliant second half of defense against Jewel in the NC game last year - she was shut down for the second half after scoring 14 points in the first half. But, Moriah probably was actually guarding Jewel for only 50% of the time that ND was on offense because of defensive switches, and Jewel missed a number of shots of similar difficulty to the ones she made in the first half, so ... was it Moriah, the Uconn team defense, poor spacing and offensive play by Jewel's team mates, Jewel getting tired, or dumb luck? I have no idea and even breaking down the game play by play, I doubt any analysis would get a 'true' answer.
Win shares, ORat, DRat, Per, , +/-, and shooting %, blocks, steals, rebounds, etc. are all interesting tools, but like all statistics can prove things that just don't pass any eye test.
Love the fact that in last nights MN win Maya's +/- was -1 where as the superstar of that game was clearly Anna Cruz with a +/- of +18!!!
Kiah had a great year and made Bill look very smart for moving up to snatch her. I would also say that Bill made Kiah look very good by coaching to her strengths and giving her positive reinforcement. She was also playing on a very good team and that allowed her to accumulate more statistical pluses than similar players on very bad teams. Evaluating her performance against other ROY candidates and other sixth man candidates is a subjective process, and I have no problem with her ending up in second place to other worthy candidates in either ranking. She was a very important player for her team as were the other candidates - she landed in a great place, and should have a really good pro career as long as she continues with a good coach on a good team, similar to her college career.