Looking for Raw Team Data in On-Off Scenarios
Posted: Fri Apr 6, 2012 6:00 am
I'm trying to test a theory re: penetrators, post men, and spacers and their impact on assisted buckets and FG%.
To do so, I'm trying to find raw on-off data that 82games does not seem to have available. What I'm looking for is the following for a teams when player X is on and off the court:
FGM-FGA
3M-3A
FTM-FTA
AST
TOV
ORB
TRB
Without diving too much into things, what I'm trying to identify is the indirect impact of a player's presence on the court in terms of assist creation. Using Brad Miller as an example from 2005-06, 82games can give me a rough estimate that, when Miller was on the court per 100 poss:
The Kings made ~45.2 FG, 28.5 of which were assisted.
Miller made ~7.6FG, 5.6 of which were assisted.
Which means the rest of his teammates were assisted on 60.8% of their baskets, which is higher than when Miller was off the court (55% assisted baskets).
Attributing all of the excess to Miller = +2.1 additional assists per/100 when he is on the court. Dividing the remaining baseline 55% assisted basket rate across non-shooting teammates is another 5.2 ast/100 for Miller.
"Adjusted assists" = 7.3 ast/100 poss. His actual assists were 6.7/100 poss. A couple more:
Nash (last year) 13.3 vs. 17.7
Rose (this year) 9.2 vs. 11.0
What I'm after is an "assist shares" metric that might allow me to tease out the relationship between spacers, big men, passers, and penetrators and how they all kind of work together to promote assisted buckets.
The issue w/ 82games is that they use only eFG%, which doesn't allow me to estimate actual made FGs. Without this, I'm stuck assuming that the distribution of made 2s and made 3s is the same regardless of who is on the court.
To do so, I'm trying to find raw on-off data that 82games does not seem to have available. What I'm looking for is the following for a teams when player X is on and off the court:
FGM-FGA
3M-3A
FTM-FTA
AST
TOV
ORB
TRB
Without diving too much into things, what I'm trying to identify is the indirect impact of a player's presence on the court in terms of assist creation. Using Brad Miller as an example from 2005-06, 82games can give me a rough estimate that, when Miller was on the court per 100 poss:
The Kings made ~45.2 FG, 28.5 of which were assisted.
Miller made ~7.6FG, 5.6 of which were assisted.
Which means the rest of his teammates were assisted on 60.8% of their baskets, which is higher than when Miller was off the court (55% assisted baskets).
Attributing all of the excess to Miller = +2.1 additional assists per/100 when he is on the court. Dividing the remaining baseline 55% assisted basket rate across non-shooting teammates is another 5.2 ast/100 for Miller.
"Adjusted assists" = 7.3 ast/100 poss. His actual assists were 6.7/100 poss. A couple more:
Nash (last year) 13.3 vs. 17.7
Rose (this year) 9.2 vs. 11.0
What I'm after is an "assist shares" metric that might allow me to tease out the relationship between spacers, big men, passers, and penetrators and how they all kind of work together to promote assisted buckets.
The issue w/ 82games is that they use only eFG%, which doesn't allow me to estimate actual made FGs. Without this, I'm stuck assuming that the distribution of made 2s and made 3s is the same regardless of who is on the court.