University of Wyoming Men’s Basketball Team Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

University of Wyoming Men’s Basketball Team Case Study Help

Simulation Model to Predict Total Revenue for A Single 16-Game Season

In order to predict the revenue, three variables i.e. winning percentage, day of the game and type of opponent has been taken as these variables had a significant effect over the revenue of the tickets. However, in order to predict the overall revenues for the 16 games by taking teams win percentage as one variable. It can be assumed that the winning percentage for the basketball team is approximately 49% by taking the average of the winning percentage of last three years. The average single game ticket sold during the previous year were 1060 at the price of 12. The total revenue of the 16 games for upcoming year is forecasted as 205613 by applying the simulation model. See appendix-4

Question#4:

100 Simulation Using The 50% Winning Rate

In order to predict the revenue for the upcoming season using a winning percentage of 50%, it is assumed that a total of 16 matches will be conducted in the upcoming 100 seasons, eight matches will be held with the conference team as opponent and eight against the non- conference team. Moreover, in order to predict revenue of the 100 seasons, it is assumed that that the 947 tickets will be sold for the eight conference games and 1173 tickets will be sold for matches against non-conference teams.

The assumption related to the number of tickets sold is based on the average tickets sold last year. Based on the assumptions and data used, it is predicted that the total revenue from ticket sales and concession sales will be $203025 in the upcoming 100 seasons. In addition, the total revenue has been predicted using the current ticket price of $12.See appendix-5

Question #5:

Simulation Using Random Win percentages

The winning percentage and total revenue from ticket and concession sales have a linear relationship which proves that the variable plays a vital role in the revenue forecast. Therefore, in order to project revenue, random win percentages are used to evaluate the effect of changes in winning percentages on the revenue of the tickets. In addition, the win percentage of 0.5 i.e. the average winning ratio of teams in the last four seasons is used.

The revenue has been forecasted for the upcoming 100 seasons using a ticket price of $12 and assuming there will be 16 matches in each season. The results of the simulation indicate that the revenues in a season are increasing as a result of the increased winning ratio of teams in that particular season. As a result of incorporating random winning percentages in the simulation, the average total revenue amounting to $106276 is predicted...............................

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