The problem is that they affect each other so directly that there isn’t really a novel conclusion that can be drawn from the trend. It’s like if I say that those who currently own a house are less likely to be currently homeless than those who do not currently own a house.From a data distribution, they are closely related since the data points are almost all perfectly normal distributed around that line and that line has a slope of about 1. They are almost no outliers (Wyoming?).
Intuitively, the higher the percentage of times you score in the red zone, the more points per red zone trip you will have and vice versa. They both are a measure of red zone effectiveness. (Note: It has nothing to do with the fact that there is a range of data points along the X axis from 2 to 7.)
I think you would see more of a scatter plot if the it had % of drives that make red zone and points per red zone. Then you would have plenty of teams in all four quadrants, as one axis would measure drive effectiveness and the other axis would measure red zone effectiveness.