Yep, ShotQuality takes into account who’s taking the shot — they actually have another stat called “shot selection” that grades each team’s shot quality regardless of personnel, and we rank 239th out of 358 in that. SQ hates how many midrange jumpers we take, unless it’s Jayden taking them (he ranks in the 73rd percentile for overall shot quality). Here is the table of ShotQuality PPP ranks for every UVA player this season:
Thanks! Some other interesting nuggets on Virginia from the ShotQuality site (I believe it has a pretty heavy paywall for team-specific info):
We rank in just the 2nd percentile for SQ’s “Spacing” rating — 353rd out of 358 teams.
We take 19% of our shots off of screens — 1st in the country. Byproduct of the mover blocker offense and those curl actions; we ranked 12th in this stat last year.
We also take 15% of our shots off of cuts, 2nd in the nation.
The only shot type in which our expected points per possession is in the top half of the country is midrange jumpers. We’re near the bottom of the NCAA in expected PPP from shots at the rim (228th), off-dribble threes (286th), and catch-and-shoot-threes (316th)
Here’s an explanation of the SQ passing points created stat from the site’s info page:
There are three reasons why assists are such a bad representation of passing
It puts too much value on the shooter making the shot rather than the pass itself. It could be an incredible pass to a wide open layup that the player misses and the passer gets no credit.
A pass to a three point shot is more valuable than a pass to a two pointer, but an assist counts them equally.
Assists ignore passes that lead to fouls drawn.
To calculate SQ Assists, we analyzed every pass that a player made, and quantified the percent chance each shot should had of going in. There are certain assists that lead to improbable shots that go in, and conversely, passes to great shots that are missed. SQ Assists dispel of those confounding and lucky factors and delivers one of the most advanced indicative assisting statistics.
The SQ assist is calculated using probability:
If Player X made a pass for a wide open layup that goes in 90% of the time. Then Player X would be credited with .9 of an SQ assist, regardless if the teammate made or missed the shot.
Or, if Player X made a pass to a contested midrange that goes in 20% of the time. Then, Player X would get credited with .2 of an SQ assist, regardless if the teammate made or missed the shot.
Awesome stuff by the way. @DFresh11 always looking for more and more advanced analytics and is curious if SQ thinks your height should include shoes or not
There are actually 2 stats — SQ Assists and SQ Passing Points Created — that differentiate this.
Using your hypothetical (Player X passes to a 50% three pointer and a 50% two pointer):
Player X’s SQ assists = 0.5, the probability of shot 1 going in + 0.5, the probability of shot 2 going in = 1
Player X’s SQ passing points created = (0.5 x 3) + (0.5 x 2) = 2.5
Basically, SQ passing points created accounts for whether shots are 2s or 3s, and SQ assists just estimates how many assists a player should’ve had, regardless of whether they are 2s or 3s.
So when I said that Reece would average 10 assists per game next year with better shooters I was basically right.
He’s already at 8 a game with this squad.
If I’m reading the table correctly, Reece is benefitting from guys making more shots than they are supposed to. He averages 4.8 assists per game but only 4.2 SQ assists per game.
Fwiw I think most people in the room were still trying to re-write their game stories, lol. The Gardner thing completely slipped my mind while tryna type a whole new story after that cleveland shot