Based on Dean Oliver's realization that a player's % of shots assisted on is extremely close to:
=1.14*(Team Assists - Player Assists)/(Team Field Goals Made)
I plugged this into a large NBA player dataset, where:
Team Assists per 100 = 5*Average(Assists per 100)
Team Field Goals Made per 100= 4*Average(Field-Goals-Made-Per-100)+playerFGMper100
The logic is a little hazy, especially considering that the "team" assists are made up of 5 average players, but we are subtracting a non-average player. So it's lazy.
OK, from here, we can get a linear regression. The correlation is EXTREMELY high, but definitely misses the mark on a few players with very high field-goals made or assists dished per 100:
SLEASY% = 0.73 - 0.03xAssistsPer100 - 0.01xFieldGoalsMadePer100
In my 8-year dataset for the NBA through 2011, we find the following top and bottom 10:
Pretty straightforward...low usage players up-top, frequent shooting PGs at the bottom. Can't assist yourself! Or can you ??
- ► 2013 (12)
- ▼ 2012 (19)
- ► 2011 (53)
- ► 2010 (25)