Were we able to get better players in the late '80s and 1990 when we won the Natty than we are able to get now? If so, why? What's different now?
Literally everything. Comparing college football in 2020 to 1990 is like comparing the War on Terror to World War 1.Everything's different
$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$........
I don't have detail, but I doubt we were next to last in the conference financially back then. This is not a trivial problem, and short of a major windfall, it's not going away quickly. It impacts funding of facilities, recruiting, and coaching talent.
Here's what I saw (from 2017):
Here’s the numerical order of how much each ACC school spent on football; the accompanying national rank is in parentheses.
The numbers include a variety of factors: coaching staff salaries, academic aid and recruiting finances. The AP states, though, two critical factors aren’t baked into this cake: money paid to coaches through multimedia partners, and cash put towards facilities.
The thing that doesn't show up here is that our high debt load doesn't give us much flexibility.
- Florida State (No.2): $42.46 million
- Notre Dame* (No. 4): $38.97 million
- Clemson (No. 10): $34.67 million
- Virginia Tech (No. 16): $31.15 million
- Miami (No. 25): $28.47 million
- Duke (No. 36): $23.47 million
- North Carolina (No. 37): $23.46 million
- Louisville (No. 38): $23.43 million
- Syracuse (No. 39): $23.22 million
- Pittsburgh (No. 40): $23.13 million
- Boston College (No. 48): $21.35 million
- Virginia (No. 51): $20.33 million
- NC State (No. 54): $19.19 million
- Georgia Tech (No. 61): $17.38 million
- Wake Forest (No. 63): $16.61 million
As to money::::I don't have detail, but I doubt we were next to last in the conference financially back then. This is not a trivial problem, and short of a major windfall, it's not going away quickly. It impacts funding of facilities, recruiting, and coaching talent.
Here's what I saw (from 2017):
Here’s the numerical order of how much each ACC school spent on football; the accompanying national rank is in parentheses.
The numbers include a variety of factors: coaching staff salaries, academic aid and recruiting finances. The AP states, though, two critical factors aren’t baked into this cake: money paid to coaches through multimedia partners, and cash put towards facilities.
The thing that doesn't show up here is that our high debt load doesn't give us much flexibility.
- Florida State (No.2): $42.46 million
- Notre Dame* (No. 4): $38.97 million
- Clemson (No. 10): $34.67 million
- Virginia Tech (No. 16): $31.15 million
- Miami (No. 25): $28.47 million
- Duke (No. 36): $23.47 million
- North Carolina (No. 37): $23.46 million
- Louisville (No. 38): $23.43 million
- Syracuse (No. 39): $23.22 million
- Pittsburgh (No. 40): $23.13 million
- Boston College (No. 48): $21.35 million
- Virginia (No. 51): $20.33 million
- NC State (No. 54): $19.19 million
- Georgia Tech (No. 61): $17.38 million
- Wake Forest (No. 63): $16.61 million
Were we able to get better players in the late '80s and 1990 when we won the Natty than we are able to get now? If so, why? What's different now?[/QUOTE
Buyouts for coaches!!
Administration must hire better, and fire better!!
EXCEL isn't "weak". It simply sucks big-time for any graphic presentation. It's as good as most spreadsheets for preparing small/middle square datasets. But once you do that, the whole shebang should be fed into either JAMOVI or R and analyzed using ggplot2. I'd use JAMOVI because it is menu-driven, based on R (it comes with a distribution of a subset of R that runs it), a lot of add-ons for various esoteric techniques, and it is FREE! FREE! FREE!ACC over time (Doesn't include Pitt, Cuse, L'ville and ND) Not color coordinated by school colors because Excel is weak.
EXCEL isn't "weak". It simply sucks big-time for any graphic presentation. It's as good as most spreadsheets for preparing small/middle square datasets. But once you do that, the whole shebang should be fed into either JAMOVI or R and analyzed using ggplot2. I'd use JAMOVI because it is menu-driven, based on R (it comes with a distribution of a subset of R that runs it), a lot of add-ons for various esoteric techniques, and it is FREE! FREE! FREE!
Try it. You'll like it.
Btw, great work. Always nice to come here and find some, you know, data analysis sprinkled in with the fan outbursts.
Btw, part duex. We need to catch Puke this year. One step at a time here.
Especially for the 10% of the population that is red-blue colorblind. That's why I always told my students to use gray scale (ggplot2 has a bunch of them) though there is also a "colorblindfriendly" palette in R somewhere. See:Ok, ok, Excel isn't weak. I love Excel, I use it all day most days. But the colors not matching expected school colors is confusing for visual folks.