Monday, March 2, 2015

Blog Post #3



This week my primary goal was to start working on the finances behind the operations. Nothing has been finalized, as I will hope to finalize projections by next week. The first order of operations was to look at the TV contract, as that will generally be one of the greatest sources of income.


Here were the tables and graph produced that portray the data that was gathered:
TV Contract


League
Total Cost
Years
Annually
Network
NFL
27 B
9 years
3 B
FOX/NBC/CBS
CFL
150 M
5 years
30 M
TSN
ACC
1.86 B
12 years
155 M
ESPN
Big East
500 M
12 years
41.7 M
FS1
SEC
5.25 B
15 years
350 M
ESPN/CBS
Pac 12
2.7 B
12 years
225 M
ESPN/Fox
A-10
(Basketball)
40 M
8 years
5 M
NBC/Sports
Mountain West
116 M
7 years
16.6M
CBS/Espn




Notes and interpretations of data:


 These are certainly some exorbitant numbers. I think the Mountain West conference and the Canadian football league are the most comparable. The Canadian football league is in a unique situation, as it was able to accrue a contract of only 150 million dollars and didn’t have to compete with the NFL as much as they’re located in Canada and aired on the Toronto Sports Network. So even though our league will be similar to the NFL, the revenue would be slightly less due to competition. As aforementioned, the competition will be slightly less due to the fact that the league will take place in the spring and summer. The Mountain West is a small NCAA conference and has to deal with competition in the U.S. therefore their annual income is only 16.6 million. However, they do not have to pay their players salary, so they can easily provide with that steady income. I think 150 million over 7 years would be a sustainable and profitable contract. The next section I worked on is what the projected player’s and coach’s salaries would be.


Salaries


Coaches:


League
Head Coach
Highest Paid
NFL
3.25 M
7 M (Mike Shanahan and Pete Carroll)
SEC
2.72 M
5.17 M (Nick Saban)
NCAAFB
1.34 M
5.17 M (Nick Saban)
CFL
200,000
500,000 (John Hufnagel)




Players:


League
Revenue
Average Player Salary
Highest paid player
S/R*
NFL
9 Billion
1.9 million
$27,773,000 (Tony Romo)
About 33 percent
CFL
185.5 million
77,000
500,000 (Casey Printers)
About 24 percent
NBA
5 billion
5.15 million
23,500,000 (Kobe Bryant)
About 46 percent
NBADL
N/A
17,300
28,000 (Pierre Jackson)
N/A
NCAA
800 million
0
0
0


*S/R=Ratio of revenue to total salary given to players (AVG players salary X players) / Revenue)


 



Notes and interpretations of data:


This table shows the projected salaries of the players and coaches. I was hoping the NBA d league would have information available on their revenue so I could calculate the proportion of the NBA player’s salaries to their D-League counterparts, however the revenue is undisclosed due to the fact it contributes to the NBA’s revenue and isn’t an independently run organization. Despite the fact that our league would want to act as a D-League with the NFL, we would not like to be affiliated or under the control of the NFL. I think this league could potentially adopt a salary format like the NBADL, in which there are three tiers of salary, with each one making a different amount of money based on skill, but not necessarily an open market. The four tiers could be 50,000, 75,000 150,000, and 250,000. On a forty player team, the top 4 players could be tier 1, the next 8 could be Tier 2, the next 12 could be tier 3, and the final 16 would be tier four. This would result in 3.8 million dollars doled out in salary for each of the 6 teams, in total 22.8 million in player salary. Coach’s salary is also a factor. In most professional sports leagues the coaches make a little more than the average player salary. The coach’s salaries can range from 200,000-300,000. One of the most significant takeaways I had from this data was the correlation of the average player salary and the S/R ratio. It is advantageous to keep this percent as low as possible.
Tickets


League
Avg. Ticket Price
Tickets bought p/g
Revenue generated p/g
NFL
78.38
68,949
5.4 M
CFL
53
30,637
1.62M
ACC
83
41332
3.43 M
SEC
143$
75,538
10.8 M
Mountain West
61$
25,888
1.6 M


Notes and interpretations of data:


After TV revenue, the next largest area of revenue would be ticket sales. As shown in this chart, the revenue per game (p/g) could be projected around 3,000,000 from ticket sales, and over the course of 33 games in the season, the revenue generated from ticket sales would be approximately 100 million dollars. However, we will also have to incorporate the expenses of renting a stadium and then hiring people to complete the numerous tasks such as cleaning and hiring workers to distribute foods and merchandise. And that will be my goal for the next week.


Until Next Time:


The primary revenue sources will be television contracts and ticket sales. But the next order of business will be to determine the primary expenses, such as stadium rentals, uniforms, pads, helmets, referees and staffers. By the end of next week I would hope to have completed the revenue projections and the expense projections.


 

3 comments:

  1. Hi Thomas. I really like the direction that this business plan is going. It is evident that you have done your research on these different leagues in terms of value, salaries, and so on. I have one question for you that is not I guess directly influential in your business plan, but relevant nonetheless. Do you think college athletes should be paid? This is a very controversial question, and I would like to hear your opinion on it since you have more information than most other people. Great work!

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  2. This just goes to show how much money the sports industry is able to make. Man, they make tons. Its great how you used graphs and charts to show your data, which is very scientific :P Good Job!

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  3. Pretty interesting to see the finances behind the operations, and what you will have to do to actually carry out your idea. You definitely analyzed the numbers to a point where you understand everything. I'm wondering how you'll get people on board to support the idea, as the financial needs seem to be quite high. Giving that your idea is new, the fact that you were able to go through the numbers of other leagues and then apply it to your idea is impressive.

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