Some of you may remember that I started a thread three weeks ago about how I had
worst three point shooting guard in D3.
Based on some of the advice in that thread along with having to modify it due to having a truly terrible team I made some unconventional changes.
Prior to the thread I had my starters with a distribution in the range of 5-9. The guys on the bench were between 3-6. My starting guards were at the 9's and the next highest was at 8. They had the highest distribution but not by a whole lot.
Huebner is my starting point guard and Martino is my starting shooting guard.
Here was the distribution with the settings I described above after the first 14 games of the season.
R. Webb 19.64%
J. Martino 13.91%
J. Huebner 13.78%
R. Adkins 11.70%
M. Unvarsky 10.21%
G. Mercer 7.35%
E. Beals 7.22%
H. Hern 6.50%
D. Beasley 4.36%
M. Melton 3.97%
W. Rayes 1.37%
Webb had the highest distribution despite having a slightly lower number than my guards. That didn't surprise me since post players end up getting a higher percentage than you'd expect due to rebounds and interior fouls.
But then I made some changes that I expected to throw things really out of whack. I changed Huebner from a 9 to a 22. And I changed Martino from a 9 to a 28. Other than Huebner, Martino's distribution was at least 3.5 times greater than any other player and he was 4-5 higher than most others.
I played with these settings for the last 18 games. Here are the distribution results for those:
R. Webb 14.77%
J. Martino 15.64%
J. Huebner 17.63%
R. Adkins 10.61%
M. Unvarsky 9.28%
G. Mercer 7.48%
E. Beals 7.75%
H. Hern 5.31%
D. Beasley 3.28%
M. Melton 6.60%
W. Rayes 1.66%
And the difference between the first 14 and last 18:
R. Webb -4.87%
J. Martino 1.73%
J. Huebner 3.85%
R. Adkins -1.09%
M. Unvarsky -0.93%
G. Mercer 0.13%
E. Beals 0.53%
H. Hern -1.19%
D. Beasley -1.08%
M. Melton 2.63%
W. Rayes 0.29%
If I hadn't told you I pretty much tripled the distribution for my two guards after game 14, do you think you could have figured that out from the percentages?
I have zero experience doing something like this. I know from reading forum threads that when you have a very high percentage of distribution you aren't going to get the numbers you want .... but I was floored to see what a small impact my changes actually made.
I know that there are two problems: (1) these guys were often on the court together and (2) 18 games is a small sample size. But I still am struggle to figure out if what happened was a fluke or not.
Thoughts? I really don't care either way since I hope to never have to resort to such a dumb strategy. But I did find the results interesting enough to post.