(04-19-2024 08:09 PM)SouthernConfBoy Wrote:  

(04-19-2024 06:57 AM)Hokie Mark Wrote:  

(04-19-2024 04:16 AM)XLance Wrote:  

(04-18-2024 09:25 PM)Hokie Mark Wrote:  

(04-18-2024 06:21 PM)SouthernConfBoy Wrote:  Too much raw data is missing to normalize that mess of numbers.

For instance you have to:

1. Tease out who played a game without any counter programing
2. Tease out whose game was nationally promoted the week before it aired
3. Control for rankings
4. Determine how the counter programing affected the numbers in each single case
5. Control for the differing lower and upper limits of each broadcast entity
6. Establish the normal week to week college football audience that just watches college football and is not team specific

This would make a good master's thesis and possibly the basis for a dissertation if you could develop a reliable explanatory formula and ask a good question.

If NC State would give me a Masters Degree for doing all that, I would consider it...

First things first.........can you drive a tractor?

DANG!

Real tractors have 12-24 gears. You need all those gears in Blacksburg between the mist, snow, ice, rain, mud, incline, and bluegrass. You don't want to start sliding backward and into the New River.

Modesty is about knowing your limits

(04-18-2024 09:25 PM)Hokie Mark Wrote:  

(04-18-2024 06:21 PM)SouthernConfBoy Wrote:  

(04-18-2024 01:32 PM)Hokie Mark Wrote:  

(04-18-2024 07:26 AM)GoWulfPak Wrote:  Those numbers are so misleading. When teams like Miss State get to play Bama, LSU etc and WVU gets to play OU and Tex....it makes their own numbers look better than they should.

Same for those in the ACC that play ND.

Then there is consideration as to whether they were on OTA vs cable. What games were they up against?

Etc Etc

I do wish someone would normalize this kind of data... but I'm not going to do it!

Too much raw data is missing to normalize that mess of numbers.

For instance you have to:

1. Tease out who played a game without any counter programing
2. Tease out whose game was nationally promoted the week before it aired
3. Control for rankings
4. Determine how the counter programing affected the numbers in each single case
5. Control for the differing lower and upper limits of each broadcast entity
6. Establish the normal week to week college football audience that just watches college football and is not team specific

This would make a good master's thesis and possibly the basis for a dissertation if you could develop a reliable explanatory formula and ask a good question.

If NC State would give me a Masters Degree for doing all that, I would consider it...

How about a UNC Degree? I got one they threw in my window when I went to a game there one time. I haven't been able to get it off my record but if your willing to take it, I'll give it too you.

(04-20-2024 04:11 PM)ChrisLords Wrote:  

(04-18-2024 09:25 PM)Hokie Mark Wrote:  

(04-18-2024 06:21 PM)SouthernConfBoy Wrote:  

(04-18-2024 01:32 PM)Hokie Mark Wrote:  

(04-18-2024 07:26 AM)GoWulfPak Wrote:  Those numbers are so misleading. When teams like Miss State get to play Bama, LSU etc and WVU gets to play OU and Tex....it makes their own numbers look better than they should.

Same for those in the ACC that play ND.

Then there is consideration as to whether they were on OTA vs cable. What games were they up against?

Etc Etc

I do wish someone would normalize this kind of data... but I'm not going to do it!

Too much raw data is missing to normalize that mess of numbers.

For instance you have to:

1. Tease out who played a game without any counter programing
2. Tease out whose game was nationally promoted the week before it aired
3. Control for rankings
4. Determine how the counter programing affected the numbers in each single case
5. Control for the differing lower and upper limits of each broadcast entity
6. Establish the normal week to week college football audience that just watches college football and is not team specific

This would make a good master's thesis and possibly the basis for a dissertation if you could develop a reliable explanatory formula and ask a good question.

If NC State would give me a Masters Degree for doing all that, I would consider it...

How about a UNC Degree? I got one they threw in my window when I went to a game there one time. I haven't been able to get it off my record but if your willing to take it, I'll give it too you.

(04-20-2024 07:29 AM)GTFletch Wrote:  

Stan and Cal are the king and king of subsidies.

GT is in the middle of a $2b capital campaign that will fully fund all athletic scholarships in all sports. GT should join Clemson in a structural surplus when that's done.

(04-20-2024 07:29 AM)GTFletch Wrote:  

I think this chart is missing information on target budget revenues and expenses. Otherwise it shows many schools engaging in normal non profit entity behavior with reasonably matching revenues and expenses, for the given budget size.

It does point out some schools that may be in tenuous positions should potential changes in college sports decrease revenues or increase expenses. But that is hard to judge with our more information to break down the reasons for the large differences in the presented revenues and expenses

We know Standford's and Cal's gaps are probably due to the large number of sports they participate, and recent projects earthquake proofing their stadiums.

It appears most the the new Big XII schools appear to have major expenses that, I assume are more due to capital improvement projects. But that may be expected for the UH, UCF, and Cinn. Don't know about why the former PAC schools appear to have issues with their budgets. This data should not be reflecting TV media revenue changes that should be taking place next year.

(04-21-2024 02:33 PM)AeroWolf Wrote:  

(04-20-2024 07:29 AM)GTFletch Wrote:  

I think this chart is missing information on target budget revenues and expenses. Otherwise it shows many schools engaging in normal non profit entity behavior with reasonably matching revenues and expenses, for the given budget size.

It does point out some schools that may be in tenuous positions should potential changes in college sports decrease revenues or increase expenses. But that is hard to judge with our more information to break down the reasons for the large differences in the presented revenues and expenses

We know Standford's and Cal's gaps are probably due to the large number of sports they participate, and recent projects earthquake proofing their stadiums.

It appears most the the new Big XII schools appear to have major expenses that, I assume are more due to capital improvement projects. But that may be expected for the UH, UCF, and Cinn. Don't know about why the former PAC schools appear to have issues with their budgets. This data should not be reflecting TV media revenue changes that should be taking place next year.

IMO, schools can subsidize athletics (especially via student fees) so long the university has growing enrollment. Unfortunately, a lot of schools will face decreased enrollment because of demographic headwinds…we are in the midst of a massive decrease in potential college students over the next decade.

It’s hard to fathom a scenario where Stanford and Cal struggle with enrollment or finances in the future. These are the most elite universities, but they do need to have their athletics teams playing at the highest levels.

(04-20-2024 04:11 PM)ChrisLords Wrote:  

(04-18-2024 09:25 PM)Hokie Mark Wrote:  

(04-18-2024 06:21 PM)SouthernConfBoy Wrote:  

(04-18-2024 01:32 PM)Hokie Mark Wrote:  

(04-18-2024 07:26 AM)GoWulfPak Wrote:  Those numbers are so misleading. When teams like Miss State get to play Bama, LSU etc and WVU gets to play OU and Tex....it makes their own numbers look better than they should.

Same for those in the ACC that play ND.

Then there is consideration as to whether they were on OTA vs cable. What games were they up against?

Etc Etc

I do wish someone would normalize this kind of data... but I'm not going to do it!

Too much raw data is missing to normalize that mess of numbers.

For instance you have to:

1. Tease out who played a game without any counter programing
2. Tease out whose game was nationally promoted the week before it aired
3. Control for rankings
4. Determine how the counter programing affected the numbers in each single case
5. Control for the differing lower and upper limits of each broadcast entity
6. Establish the normal week to week college football audience that just watches college football and is not team specific

This would make a good master's thesis and possibly the basis for a dissertation if you could develop a reliable explanatory formula and ask a good question.

If NC State would give me a Masters Degree for doing all that, I would consider it...

How about a UNC Degree? I got one they threw in my window when I went to a game there one time. I haven't been able to get it off my record but if your willing to take it, I'll give it too you.

I don’t know much about Northern Colorado, but that sounds interesting