Posted by dunkonyou on 6/5/2021 6:24:00 AM (view original):
Posted by ftbeaglesfan on 6/4/2021 10:53:00 PM (view original):
I take it your data analysis is based on what the coaches accomplished back when they took over the school and not on current results? From a purely testing point of view the data from when they started would have the flaw of not accounting for losses of games and recruits to coaches that would have been fired before that season. I understand there is no perfect way to calculate what a rebuild would look like. What about where we are currently though?
What would the data look like for each tier in one day worlds if it started 4 months ago and we ended the four season cycle for the worlds with Smith's finishing in two days. Who would be fired, on the hot seat, and safe across the one day worlds?
More of an curiosity than anything and unfortunately to busy do the data myself.
Benis went back to when a coach was first hired. I just did the current situation. I talked to Adam and they are looking at data and they are still working on what the final plan will look like. They had already planned on a grace period. When they put out the announcement that there was going to be a firing process coming late in this year--they didn't put out all of the details they were working on. I was much relieved after talking to him. I certainly appreciate that they are trying to improve the game. The communication could have been better on this subject but overall the communication is much, much better than the last regime and the effort they are putting into these games is light years ahead of the past regime.
Figured that was the data used. Agree that communication is better. Has anyone done the data on what firings would look like based off each world/teams current situation?
Interested in knowing how it will actually play out since many are long term at those jobs. I would estimate the truth of a rebuild would be somewhere between Benis's data and the data from the last four seasons of current coaches in thoae positions. Benis's being the floor and last four seasons being ceiling. Impossible to know perfectly but a mean, median, and mode could be drawn as an idea. Sorry not a math or algorithm guy but recall some math principles from back in school. Where are my amazing math brains that can
1) get this ceiling and floor data for one day worlds 2) calculate a mean, mode, median for each school in the tiers
Made up examples. To meet criteria across the one day worlds UCLA has a mean of 1.4 seasona median of 2 and a mode of 2. While Oregon has a mean of 2.3, median 3 and mode 2.