I assure you that I am not purposefully ignoring it. My position, which I have stated, is that we are looking at a very small sample size (7 playoff games since he has been "Domas") and we should not believe that those 7 games have remotely the same predictive power as the 246 regular season games he has played as a King.
I recognize that he is not a good defensive player (but a GREAT rebounder, which is usually considered a component of defense statistically), but he remains wildly successful in advanced stats that include both offense and defense. He has a huge +++ impact on winning, even if he is a weak paint defender.
And, to address the remaining point, I believe that "easy to scheme against" is just a narrative to explain the difference between his large sample size stats and his small sample size stats. The idea that NBA coaches don't actually do any coaching until the playoffs start is not credible to me. And, of course, if he were statistically better in the playoffs than the regular season, the other side of the argument would call him "uniquely built for playoff basketball". I would endorse neither of those views.
The small sample sizes criticism is interesting to me. There are statistical tests that compensate for differing sample sizes between groups, so it should be possible to determine if the playoff effect is real or not
I plugged Domas' game logs into a one way ANOVA analysis. Comparing 246 regular season games as a King, to 7 in the playoffs, there were notable p-values for TS%, DRB%, and AST (There were also a few other stats that are derivative of those)
Code:
ANOVA [TS%] results: F=7.3666, p=0.0071
ANOVA [DRB%] results: F=9.8929, p=0.0019
ANOVA [AST] results: F=4.4996, p=0.0349
I think we can say that despite the small sample size, there was a statistically significant effect between Sabonis' regular season efficiency, and his playoff efficiency. I'm not a statistician, and I would appreciate any criticism of this approach; but I believe this debunks the small sample size objection to the extent I could publish these results in a scientific journal.
Now, looking at Sabonis' broken hand stats, I don't see evidence that he was hampered by his avulsion fracture; in fact his best statistical run came in the months after the break. (As an aside, this jives with my personal experience. I had an avulsion fracture on my toe once, and aside from occasionally feeling sudden-random-numbing pain, I was pretty functional after a couple of weeks.) Domas compensated effectively.
I have considered the idea GSW was a bad matchup. The stats between the regular season games against GSW and the playoffs still show a significant effect on DRB%, but there isn't enough evidence to prove that Domas' TS% was affected by playoff basketball relative to an unfavorable matchup vs GSW.
I haven't disproven the stomp hypothesis (yet).