I first heard about this Nike ball business in today's Thunder & Lightning.
The nerd in me became curious. So I decided to bust out a spreadsheet. Beware of nerdery to follow...
As best I can tell from available photos, we played with a Nike ball vs. Arizona State, Saint Mary's, Dayton, Vanderbilt, Kentucky, and Alabama. A Wilson ball was used in all other games. If someone can correct me here, feel free.
My first look was at our FG% or 3FG% with a Wilson ball and a Nike ball. Both are significantly lower with a Nike ball:
FG%
Wilson - 50.2%
Nike - 40.5%
3FG%
Wilson - 42.1%
Nike - 23.1%
Surely there's more to it, right? There must be something else like the strength of our opponent, or how well our opponents defend, that has a stronger effect. Perhaps the stronger teams on our schedule just happen to use Nike balls? So I decided to look at the correlation between our FG% and various variables.
First, a word about correlation coefficient. It ranges between -1 and +1. +1 would indicate a strong positive correlation (as one variable increases, the other increases). -1 would indicate a strong negative correlation (as one variable increases, the other decreases). 0 indicates no correlation.
Here's what I found, in terms of the correlation coefficient. Remember, coefficients closer to +/-1 show a stronger correlation.
<tbody>
</tbody>For ball used, I gave Wilson a value of 1 and Nike a value of 0.
For game location, I gave Home a value of 1, Neutral a value of 0, and Away a value of -1.
This says that the ball used has a stronger correlation with our shooting success than where the game is played, how good our opponent is, or even how well the opponent typically defends.
Seems like there's something to this Nike ball...
Feel free to criticize my methods. I'm only an amateur statistician.
The nerd in me became curious. So I decided to bust out a spreadsheet. Beware of nerdery to follow...
As best I can tell from available photos, we played with a Nike ball vs. Arizona State, Saint Mary's, Dayton, Vanderbilt, Kentucky, and Alabama. A Wilson ball was used in all other games. If someone can correct me here, feel free.
My first look was at our FG% or 3FG% with a Wilson ball and a Nike ball. Both are significantly lower with a Nike ball:
FG%
Wilson - 50.2%
Nike - 40.5%
3FG%
Wilson - 42.1%
Nike - 23.1%
Surely there's more to it, right? There must be something else like the strength of our opponent, or how well our opponents defend, that has a stronger effect. Perhaps the stronger teams on our schedule just happen to use Nike balls? So I decided to look at the correlation between our FG% and various variables.
First, a word about correlation coefficient. It ranges between -1 and +1. +1 would indicate a strong positive correlation (as one variable increases, the other increases). -1 would indicate a strong negative correlation (as one variable increases, the other decreases). 0 indicates no correlation.
Here's what I found, in terms of the correlation coefficient. Remember, coefficients closer to +/-1 show a stronger correlation.
| FG% | 3FG% | |
| Ball used | 0.636 | 0.624 |
| Game Location | 0.538 | 0.400 |
| Opponent win% | -0.222 | -0.042 |
| Opponent FG% defense | 0.346 | 0.334 |
| Opponent RPI | 0.241 | 0.049 |
<tbody>
</tbody>
For game location, I gave Home a value of 1, Neutral a value of 0, and Away a value of -1.
This says that the ball used has a stronger correlation with our shooting success than where the game is played, how good our opponent is, or even how well the opponent typically defends.
Seems like there's something to this Nike ball...
Feel free to criticize my methods. I'm only an amateur statistician.