E-Classroom: SBS Oakland Baseball Simworld Simulation Run






Diagram Legend

(Box shape) = Decision variable

(+) = Decision causes variable to increase or has a positive relationship with it

(-) = Decision causes variable to decrease or has a negative relationship with it

(+)(-) = Variable can cause increase or decrease or has an alternating positive / negative relationship depending on the condition present

A review of the basic operation of the simulator is presented below, after the review of your performance, and your entry in "Oakland Baseball Businesss and Operations Insights" below

Share your Oakland Baseball Businesss and Operations Insights with SBS and other students and players. From stadium financing strategies to methods to eliminate debt, click on Oakland Baseball Simworld Forum.

Graph and Table Links:

Marginal Revenue, Cost and Profit Table

Marginal Revenue, Cost, and Profit Table (Opens into MS-Excel)

Excel-Ready Fan Demand Record Table

Excel-Ready Decision Input Recording Table

Economic Output Table (Cut and Paste Into MS-Excel)

Economic Output Table (Opens Into MS-Excel)

Graphs

Home Game Season Attendance and Major Graphs (Printable)

Financial Summary

Revenue Sharing Summary

Contraction Warning Summary

New Stadium Summary

Redevelopment Financing Summary

Collective Bargaining Agreement Summary

Congratulations: Let's review your performance You posted a total score of $Values.get('Total_Score'). Let's look at the components of actions that caused you to achieve this score.

Won-Loss Record

#CustomLineGraph( ['As_team_won_and_loss_record'] 475 320 "0xFFFFFF" false "year" "" 2)


#if($FunctionLibrary.integer($Values.world_series_championships.Result) > 0 )Over the course of the simulation, you built a team that earned $Values.get('world_series_championships'). This success helped to fuel attendance for those years, and merchandise sales for the next year. Each World Series Championship gains 20 points.#else #end

#if($FunctionLibrary.integer($Values.world_series_championships.Result)> 2 )Over the course of the simulation, you built a team that earned $Values.get('world_series_championships'). This means that you produced an organizational structure that was able to consistently field competitive teams. This also shows up in the overall value of the franchise, provided you did not over spend the money you earned.#else #end


#if($FunctionLibrary.integer($Values.playoff_appearance_total.Result) > 0 )Over the course of the simulation, your firm earned $Values.get('playoff_appearance_total') playoff appearances. Each playoff appearance gains 8 points.#else #end

#if($FunctionLibrary.integer($Values.playoff_appearance_total.Result)> 4 )Over the course of the simulation, your firm earned $Values.get('playoff_appearance_total') playoff appearances. Even without the World Series, this is a remarkable achievement and means that you have built a corporate structure that puts competitive teams on the field.#else #end


Net Operating Income

#if($FunctionLibrary.integer($Values.get('NOI_tally_evaluation').Result) ==3 ) One reason for your good score is that you had more years with a positive Net Operating Income, than with a negative one. Thus, you were able to build a healthy cash reserve. #else #end

#if($FunctionLibrary.integer($Values.get('NOI_tally_evaluation').Result) ==2 ) One reason for your score is that you had more years a negative Net Operating Income, than with a positive one. A negative net operating income cuts into your reserve, reducing it. #else #end

This is what your NOI looks like over the entire simulation run:


#CustomLineGraph( ['annual_As_NOI'] 475 320 "0xFFFFFF" false "year" "" 2)


Franchise Value

#if($FunctionLibrary.integer($Values.get('As_franchise_value').Result) <200000000) Another reason for your score is the total Franchise Value. This is estimated at roughly 2.2 times total revenue. In this case, you were not able to significantly increase Franchise Value. #else #end

#if($FunctionLibrary.integer($Values.get('As_franchise_value').Result)>200000000) Another reason for your good score is the total Franchise Value. This is estimated at roughly 2.2 times total revenue. In this case, you were able to significantly increase Franchise Value. #else #end

#if($FunctionLibrary.integer($Values.get('As_franchise_value').Result)>300000000) Not only were you able to increase Franchise Value, you were successful in doubling the value of the organization. This represents an over 100 percent increase in the value of the team, or about a 6.6 percent increase in Franchise Value, each year. #else #end

#if($FunctionLibrary.integer($Values.get('As_franchise_value').Result)>400000000) Moreover, the value is greater than $400 million. This represents a remarkable turnaround in the economic performance of the organization. #else #end


This is what your Franchise Value looks like over the entire simulation run:

#CustomLineGraph( ['As_franchise_value'] 475 320 "0xFFFFFF" false "year" "" 2)


Baseball Organization Economic Structure


Another reason for your score is Economic Structure. In this view, there are three main expenditures that essentially describe how the team expects to control its environment: player payroll, scouting and player development, and marketing.


Player Payroll

Player Payroll is simply the total number of dollars your paying your players. There are low payroll teams, like the 2002 Oakland Baseball, and there are high payroll teams, most notably the New York Yankees. There are various reasons for the choice of high medium or low payroll. In the case of low payroll teams, some (again like the Baseball) place a high investment in scouting and player development. This is the farm system. The idea is that an organization can "grow" players, which they expect to lose to free agency after a period of time.

A high payroll team is that because the organization wants to have the best players and draw the greatest number of fans possible. But to maintain such a level, the organization's revenue structure must be large enough to allow this. The point here is that revenue is "driven" by expenditures: the more you want to do in a certain area, the more money you need to do it.

Maintaining a high payroll is hard for a small-market team. The definition of "small market" is defined by the radio and television contract, primarily. The Yankees have a radio and television contract that reaches $60 million annually. That's more than half of the Baseball 2002 total revenue, and the largest contract in Major League Baseball. The Baseball are somewhat constrained by being in a two-team market, where they split regional resources with the Giants. (In fact, from the perspective of radio and television contracts, the Giants' share is larger.) This is where a new stadium can help a team like the Baseball reach "high payroll" status. Borrowing money can also help, but the organization is saddled with debt from borrowing money.

Once that status is reached, poor attendance due to poor team performance can make it hard to remain at a high payroll level.

Scouting and Player Development

This expenditure comprises the farm system of the organization. Here, teams rely on scouts to spot talent worldwide, and build training facilities for their players and in the minor leagues. The Houston Astros are a great example of an organization that made the decision to concentrate on scouting and player development in preparation for the 2003 season.

The World Champion Angles are another example. This link presents a recent ESPN article on the firm's focus on player development.

Marketing Expenditures

Marketing is what helps "put butts in seats." The organization does this by producing an ad campaign, and releasing television, newspaper, and radio ads. They also have special "tie-ins" with other products, like airlines, and travel agencies, as one example. There are also special promotional events and in-stadium events. One example is the now famous "Dot Racing" game featured at Baseball contests, during the "Haas" era, when the team was owned by the Haas Family. Then, the marketing director was Andy Dolich, who created a lot of interesting ways to get people to come to the game.


Dot Racing was one of them. In Dot Racing, fans bet on animate "Dots" "racing" each other on the Jumbotron screen.

Marketing can be as expansive as the imagination and budget. In this simulator, its assumed that a budget in the area of $8 million or higher is such that you are responsible for a percentage of the attendees. What can that translate to? One example are free gifts, like bobblehead dolls for the frst 10,000 fans. The point is, people have a reason to come to the games beyond the game itself. A low marketing budget means you are just doing the basics, nothing beyond that.


Stadium Matters


Let's see what you did regarding the existing stadium, and a new stadium.


Attendance

#CustomLineGraph( ['annual_As_attendance'] 475 320 "0xFFFFFF" false "year" "" 2)


#if($FunctionLibrary.integer($Values.get('attendance_comparison').Result) ==1) You realized a good run of increases in attendance. This contributes to a good score and high franchise values. Why? Because this is a representation of the popularity of the team, and that translates into greater revenue from ticket sales. #else #end

#if($FunctionLibrary.integer($Values.get('attendance_comparison').Result)== 0) One major component of a poor score is constantly falling attendance. In this case, you had more years where attendance falls than years where attendance increases. This is due in part to the team's won-loss record. If it's poor no it's harder to draw patrons. You've got to spend money on marketing. #else #end


Ticket Prices

This graph shows changes you made in single game ticket prices for both existing and new stadiums.

#CustomLineGraph( ['D_____As_standard__avg_ticket_price_per_game_existing_stadium','D_____As_standard__avg_single_game_ticket_price_new_stadium'] 475 320 "0xFFFFFF" false "year" "" 2)


This graph shows changes you made in season ticket prices for both existing and new stadiums.

#CustomLineGraph( ['D____As_season_ticket_price_existing_stadium','D_____As_season_ticket_price_new_stadium'] 475 320 "0xFFFFFF" false "year" "" 2)


And this graphs shows any variable pricing strategy you used.

#CustomLineGraph(['avg_ticket_price_with_variable_pricing_NS','avg_ticket_price_with_variable_pricing_ES'] 475 325 "0xFFFFFF" false "year" "" 2)

Decision To Build New Stadium? #if($FunctionLibrary.integer($Values.D_____new_stadium_option.Result)==0 ) No #else Yes #end
Urban or Suburban Stadium Location? #if($FunctionLibrary.integer($Values.get('D_____urban_or_suburban_stadium_location').Result)== 0)Suburban location #else Urban location #end

Other Organization Decisions

#if($FunctionLibrary.integer($Values.get('D__relocation_of_team').Result)== 1) You attempted to move the organization #else You did not attempt to relocate the team away from Oakland. #end

#if($FunctionLibrary.integer($Values.get('D__relocation_of_team').Result)== 1)

#if($FunctionLibrary.integer($Values.get('D__relocation_choice').Result)==1)The choice city to move to was Portland #else #end

#if($FunctionLibrary.integer($Values.get('D__relocation_choice').Result)== 0)The choice city to move to was Fremont #else #end

#if($FunctionLibrary.integer($Values.get('D__relocation_choice').Result)== 2)The choice city to move to was Washington DC #else #end

#if($FunctionLibrary.integer($Values.get('D__relocation_choice').Result)== 3)The choice city to move to was Charlotte #else #end

#if($FunctionLibrary.integer($Values.get('D__relocation_choice').Result)== 4)The choice city to move to was Sacramento #else #end

#if($FunctionLibrary.integer($Values.get('D__relocation_choice').Result)== 5)The choice city to move to was Las Vegas #else #end

#else #end


SBS Oakland Baseball Simworld Simulator Operation


Simulation Operation and its Relevance to Real World Business Dynamics



The primary objective of the Oakland Baseball Simworld is to understand the basic dynamics that drive the business operations of a major league baseball team. The Oakland Baseball are arguably the most successful "small-market team" over the last 20 years. Their unique position - sharing a regional market with the San Francisco 49ers, playing in one of the older stadiums in the league, and competing with eight different professional sports organizations for the San Francisco Bay Area sports dollar - presents a great backdrop for study of the business firm that is the Oakland Baseball Baseball Organization.

While the simulator currently has 80 decision variables (and will have more in the future), there are really only six decision variables that truly govern a positive or negative performance for the organization in each year of the simulator: Player Payroll, Ticket Prices, Marketing Expense, Scouting and Player Development Expense, Credit Applied For, and New Stadium. That's a simplification of the main decision variables; below we will explore each one in greater depth.


Player Payroll

This is an expression of the total payroll of the organization. It starts at $40 million, but you can reduce it to $35 million or increase it to as high as $140 million. The general rule here is that the higher the average payment to each player -- the total of which gives player payroll for that year -- the more likely it is that your organization will go to the playoffs and perhaps win the World Series. Remember, the key word is "likely:" in the 2002 season the success of the teams in the MLB American League West was in near inverse proportion to the size of their player playrolls for that year.

The Anaheim Angels, the eventual World Series Champions, had a payroll of approximately $60 million, and the Oakland Athletics which won the AL West, were at even less: $40 million. On the other hand, the New York Yankees have the highest payroll in pro baseball and have made it to the World Series four of the last five years. So while there is evidence of the correlation between healthy payrolls and winning records, its not a perfect one. One must be able to adjust their business strategy should it call for a high payroll organization, and that expensive group of stars fails to win on the field.


Scouting and Player Development

One primary reason for the success of the players on the field, is the farms system the organizations have constructed. This is certainly true for the Oakland Athletics, which boast one of the most successful scouting and player development programs in the league. It's this part of the organization that's contributed vastly to their success, and spawned an alternative to the high payroll approach: the high cost scouting / low player payroll plan. It is also a key reason for the emergence of the San Francisco Giants as a competitive organization.

Indeed, the success of the Athletics in this area has not gone without notice in MLB. In the case of this simulator, there is a two-year lag between increases in spending in this area, and impact on the teams won/loss percentage. As a warning, the cost to achieve a measurable impact in this area is quite high, and should be approached with care.


Credit Applied For

Of all aspects of the business of baseball, debt is one that's least discussed, however arguably the most important. In the simulator one can apply for as much as $100 million in debt. But the terms applied to its repayment are better for a new stadium than for an existing stadium. In the case of the Oakland Athletics, the problem is attached to their operation within the existing short lease structure and limited revenue-generating capacity of the current Network Associates Coliseum. It's difficult to obtain a long-term credit line with a lease that's only five years in length. By contrast their lease would be as long as 30 years in a new stadium. From a lender's perspective, that's a long term revenue stream. The value of a long term lease can't be underscored. It's the basis for many long term contracts for naming rights revenue, television and radio revenue, and other types of sponsorships. Currently, the Baseball are handicapped by their current situation.
Once "Credit Applied For" is received in the simulator, its placed directly into the organization's reserve. The user can access as much or as little as needed annually. The amount drawn goes directly into Net Operating Income. Since part of your score is based on the maintenance of a healthy Net Operating Income, credit drawn and placed into the reserve can help you post a good score at the end of a simulation run. From a business perspective, you can use debt to purchase player contracts, or even as part of the overall financing package for the construction of a new stadium. But again, care is required. This is not "free money;" it comes with a price. And that price is the interest payments on the money borrowed, or the borrowing costs.

Those expenses are higher in an existing stadium than they would be in a new stadium, because of the longer lease terms and higher revenue generation common in newer stadiums. The point is, the credit is money you have to pay back. While their is a debt limit of $100 million in the simulator, once you go below that maximum, you can borrow more money. That money counts against overall Franchise Value. In the simulator, Franchise Value is yet another measure of your score. Thus, you have to find the balance between the debt required to be successful and the level of overall Franchise Value that's impacted by your decision to incur debt.


Ticket Prices

Still the primary tool for revenue generation for a baseball organization, regardless of level -- major league or minor league -- is the increase in ticket prices. That action will lead to an automatic rise is revenue under the proper circumstances. For example, a baseball firm with a won/loss record over .600, which has not only made the playoffs, but won the American League East, yet has an average ticket price of $11 per game. The semi-annual rise in player salaries causes this organization to look to ways to generate revenue to both keep their current players and gain new players.

A healthy economy plus below MLB average ticket prices points to an increase in ticket prices as one solution. Thus, the team's president approves an increase in ticket prices by $2 each game. Attendance for the organization's contests does not decrease; it remains about the same as the year before. This permits the team to gain revenue to finance its business plan's objectives of higher payrolls and greater expenditures for marketing. Raising ticket prices can work, if the economy and the team's on-the-field performance are both good.

Now, let's take the negative example.

The reverse scenario is this: the economy is less than healthy such that baseball fans can't afford a $2 ticket price increase. The team president approves the ticket price plan, believing that the popularity of the successful club will overcome economic recession.

The result is a drop in attendance from the previous year, directly offsetting any ticket price gains that may have been realized had the economy performed better. The decrease in fans coming to games occurred even as the ballclub won the American League East for the second year in a row. Because of the terrific, job-laden economy and the baseball firm's move to sign star players at premium prices, the organization posted a loss of $15 million.

Now the team president is faced with a new decision: increase ticket prices in an effort to recover the loss, or decrease ticket prices to draw back patrons. (Note that, in this case, the organization's decision maker does not want to reduce the size of the team's payroll.)

The team's president considers marketing expenditures to be one alternative solution.

Marketing

If you've seen those creative advertisements for baseball teams, they don't come cheap. A standard advertising campaign, including development, and purchase of ad space, and other activities, can run several million. An effective marketing plan is a major investment, but it draws fans. An increase in expenditures translates to such activities as "bobblehead" dolls for the first 10,000 fans, or roses for every mother (or want-to-be-mother) for a game on Mother's Day. The objective is to craft initiatives that draw fans to games which normally don't post large attendance numbers.

Buiilding A New Stadium

Of all of the decisions in the Oakland Baseball Simworld, building a new stadium is the most difficult and complex undertaking. The "help" section discusses the difference between the Basic and Advanced Decision levels when you are considering the construction of a new stadium. Here, we will focus on the process of building a new baseball structure and its importance in the overall fiscal heath of the organization.

Over the past 40 years, the need to build new stadiums has paralleled increases in player costs. As the success or failure of a baseball franchise ultimately falls on the performance of the player on the field, having a revenue stream that permits the organization to create a competitive club is of paramount importance.

Since stadiums draw fans, which must purchase tickets to see a game in the structure, building and maintaining a facility that patrons want to pay to enter is almost as important as the players on the ballclub. But, unlike the other major decisions discussed here, constructing a new stadium is a long-term effort. In the Basic Level of Decisions, the steps are reduced to:

A) Switching the "Build a New Stadium?" control to "Yes," and then..

B) Selecting an affordable level of political expenditure that sets on the "green light" toward approval of the right to build the structure.

The Advanced Level of Decisions provides you with a number of choices involving stadium capacity and financing. Should you wish to avoid altering the choices controlling stadium capacity, they are pre-set to cause the construction of a 42,000 seat, open-air downtown stadium with 150 luxury boxes at a cost of approximately $400 million. All you have to do is determine how you're going to pay for its construction.

You have a number of choices here, split between having the baseball organization absorb the cost of building the new stadium or placing part of the cost burden on the public sector.

Placing the cost weight on the public sector exacts a higher political cost in the simulator. That expense must be countered by spending more money on politics. The more public monies you request for stadium construction, the larger the amount of money you must have the organization spend on political issues.

Of course, you may elect to avoid paying these costs, but don't expect to receive approval to build a new stadium. The reason is associated with public perceptions of teams that ask for public money for stadiums: taxpayers view players as far wealthier than they. Therefore the common worker reasons that own stadiums. If the organization is to be seen as giving its fair share to the community, the public will be less inclined to think of the firm as selfish and more willing to approve the use of public money for the stadium.

Obviously, then, the use of revenue toward "poltical" expense does not imply a payoff of elected officials. Having written that, the intelligent approach of any baseball executive is to copy the methods commonly used by real estate developers: campaign contributions to and fund-raisers for the elected officials that will ultimately approve the new stadium.


Such activities are common and not to be confused with "influnce-peddling" relationships. Influnce peddling is where the elected official requests that the developer pay a certain amount of money if they wish to receive a affirmative vote on the stadium from that politician. It's also where the developer walks in with a "suitcase full of money" and receives support for the project after the politician has taken the bribe.

So how is influnce peddling different from campaign contributions? Contributing to the election fund of a politician is governed by state and federal laws regulating the size of contribution and the method of declaring it. Such actions can be monitored by the local newspapers. Influnce peddling is an illegal activity performed beyond the watchful eye of the press.

Political spending includes far more than monies paid to campaigns. It incorporates charitable contributions and special community projects, like building ballfields for public school children.

The more of these activities the general public sees from the baseball organization, the more certain stadium approval becomes.

Once the political body (city, county, or state, or some combination) gives the go-ahead for construction of the new baseball structure, the process of actually building it commences. In the simulator, this takes three years, but in the real world actual building time varies from as little as two years to as long as four years or more.

After three years, the stadium will open. The first impact on the baseball organization will be an immediate dramatic increase in attendance, if the team is performing well. If it's not, then attendance will spike, but only for the year in which the new stadium was open, and depending on the perfomance of the team, the number of "star players," and marketing expenditures it may be high the year after that.

The team will realize greater revenue not just because of the novelty factor associated with a new stadium, but the increased sources of revenue following to the team. First, the organization is the primary owner of the stadium in the simulator. Because of this, its able to retain more of the revenues from different sources than in the current case. For example, the Baseball share the Network Associates Coliseum with the Oakland Raiders, and the stadium (arena nearby) are owned by a joint powers authority representing the City of Oakland and the County of Alameda.

That entity keeps a percentage of revenues from concessions, parking, and stadium advertising, and what the stadium authority does not retain is to be shared with the Oakland Raiders. Moreover, the design of the stadium, combined with its multi-tenant lease structures, prohibit the Baseball from capturing the full cost of reserving the stadium's entire complement of luxury boxes. The luxury boxes on the East Side of the structure were built for the Oakland Raiders, who retain the deposits paid to purchase the boxes. The boxes on the West Side of the structure are also offered as part of the Raiders Package. The same boxes are sold by the Baseball, but under a cost structure that does not reflect their true value.

Another example exists in concessions. A newer stadium will have a larger number of concessions outlets, permitting more patrons to be serviced, and increasing the percentage of people purchasing food, even with higher prices.

The final example rests in naming rights. The current deal for the stadium is only at $6 million, one of the lowest in professional sports. The naming rights deal for a new Oakland Baseball stadium may be as high as $4 million annually, over a 20 year period (according to estimates for naming rights potential value published in Street and Smith's Sports Business Journal) -- $80 million. In a scenario where the baseball team owns the stadium, the larger percentage of the annual fee would go to the Baseball, with the remainder to the City of Oakland (or the joint powers authority, if they were the negotiating entity for the public sector.

The greater jump in revenue will cause the organization's franchise value to increase as well (offset only by the level of debt you've drawn for the organization).

In closing, developing a business plan that permits timely changes in Ticket Prices, Marketing Expenditures, and Player Payroll, and with spending for an extensive Scouting and Player Development program, and a the maintenance of a moderate level of Debt will cause your simulated Baseball organization to be as successful as the Oakland Baseball and New York Yankees are in the real world.


SBS Oakland Baseball Simworld Library

If you are developing a class project around the subject of the major league baseball using this simulator, these links below are recommended SBS resources.


Oakland Baseball Stadium Issue

The Oakland Athletics' need for a new stadium has produced a wealth of information, while the problem remains unresolved.

1.Oakland Baseball Fan Coalition Web Site (contains a wealth of information on A's Stadium Studies).

2. Oakland Athletics Cactus League Stadium Issues (good background for any student interested in the components of Scouting and Player Development expenditures).

3. Future of Oakland A's may hinge on new stadium (this is an article on MLB Commissioner Bud Selig's view stated early in 2003)

4. Will Oakland's dream come true? (an Oakland Chamber of Commerce article)

5.Santa Clara exit puts San Jose in position as next A's site (this is no longer the case, but the article provides an important understanding of the competing political interests in the San Francisco / Oakland Bay Area.

Oakland Athletics Existing Stadium Issues

1. Ballparks by Munsey and Suppes Summary of Network Associates Coliseum

2. Baseball-statisics.com ( a comprehensive, if critical web page on all aspect of Network Associates Coliseum as it applies to baseball.



Oakland Athletics Ownership and Lease Issues

1. The Oakland Athleticsl and Major League Baseball (WNUR Sports)

2. Update on Oakland Athletics Situation (WNUR Sports)

3. Oakland A's extend stadium lease through 2007

4. Owner says move affirms commitment to Oakland



Oakland Athletics Player and Executive Negotiation Issues

1. 2003:Tejada hoping A's have change of heart

2. 2002: Beane and Red Sox have deal pending agreement with Oakland



Related MLB Topics

MLB Revenue Sharing

1. 2001 MLB Operating Revenues and Expenses, with Revenue Sharing

2. MLB Revenue Sharing Is Main Topic at League Talks

3. Progress Made On Revenue Sharing

4. Analysis of MLB Revenue Sharing by Doug Pappas

5. Baseball Commission Calls for More Revenue Sharing

6. The Yankees and Revenue Sharing