And so that's one factor, which is your effective field goal percentage minus
the opponents, and that's the difference.
So here Miami shot 52.44% effective field goal over their opponents, 47.51,
the difference is what matters.
Well you need to go to the foul line, so
you take free throw attempts divided by field goal attempts.
So the Heat would get 36 free throw attempts for 100 field goal attempts.
Their opponents 29.9.
Really it probably should be something like free throws made would be better, but
they usually use free throw attempts.
Okay. Now then you want to not turn the ball
over.
Now here, so the difference on free throw attempts from offense to defense.
Your team and the other team, that positive.
But turnover as a positive difference is bad, it means you turned the ball over.
So it's turnovers per 100 possessions for the Heat was 13.52 and opponent was 12.6.
And then rebound percentage.
What percentage of your shots did you rebound on offense?
What percentage did the opponents shots does the opponent rebound?
Take the difference.
So those four differences are your four vacuums, and basically the question is how
you rank what are each of those worth and then how do you rank them?
So in the regression data, we've got the difference columns put adjacent.