How Much Money Do Super Bowl NFL Cheerleaders Make? (It’s Less Than You Might Think!) | 2025 Super Bowl, Kansas City Chiefs, Philadelphia Eagles, Sports, Super Bowl | Just Jared: Celebrity News and Gossip
Cheerleaders play a big role in the gameday experience at a football game. They bring the energy and excitement to the crowd, creating a lively and enthusiastic atmosphere.
In addition to their performances, cheerleaders also serve as ambassadors for their teams, promoting the team and building enthusiasm for the sport overall, while helping to build a strong, loyal following for their teams.
However, it’s been revealed that the cheerleaders in the NFL, and those performing at the Super Bowl this weekend, aren’t actually paid all that much.
Keep reading to find out just how much the cheerleaders make per game…
Introduced in 1954, cheerleading squads are now a staple of 24 out of 32 NFL teams’ gameday entertainment. The Bears, Bills, Browns, Giants, Jets, Chargers, Steelers, and Packers do not have cheerleading squads.
After a TikTok from Jessica Burbank went viral about the pay disparity, many have been talking about why cheerleaders aren’t compensated more.
In the NFL, cheerleaders who are classified as “supporting” members reportedly receive around $150 per game and between $50 and $70 for public appearances on behalf of their teams, adding up to an estimated annual total of $22,500.
Those who have been in the league for a longer time are considered professional and thus earn higher salaries, with reports indicating that they receive approximately $500 per game and $15-$20 per hour.
A professional cheerleader, who may perform at the Super Bowl, can make as much as $75,000 per year, and there are bonuses available for teams that make it to the playoffs or win the Super Bowl. It should be noted that cheerleaders are responsible for paying for their auditions, travel expenses, and hair, makeup, and costumes.
The low salaries of cheerleaders in the NFL is due in part to their classification as independent contractors, they are viewed as an unnecessary expense. This perception, combined with ethical considerations, fuels skepticism about their compensation.
The cheerleaders of the Philadelphia Eagles are Chelsea, Gracie, Tamia, Megan, Alexa, Arielle, Ashley, Cali, Cassidy, Caitlyn, Cassie, Deanna, Deja, Elana, Erin, Francesca, Hanna, James, Jenny, Kelly, Kiki, Lexi, Lucia, Makenna, Marissa, Mieka, Mya, Riley, Rylee, Samantha and Taylor.
The Kansas City Chiefs cheer squad is Katie, Ashton, Grace, Jordan, Morgan, Ari, Cassidy, Gracie, Raegan, Sadie, Samantha, Carly, Davanna, Hailey, Jadyn, Josi, Josie, Maddie, Marlee, Noell, Taylor and Taylor (there’s two!), Daisia, Darian, Gabby, Hannah, Irene, Laney, Mackenzie, Macy, Madelyn, Millie, Paige and Ryleekate.
NFL cheerleaders are paid as little as $5 an hour, while the league made $11 billion last year.
Timothee Chalamet and Josh Brolin reunite at the opening night celebration of the Denis Villeneuve’s Dune: Exposures exhibit at Leica Gallery Los Angeles on Monday (February 10) in Los Angeles.
The 29-year-old actor showed his support at his Dune: Part Two co-star’s exhibit with Greig Fraser, which is a collaboration of image and word for the gallery, which is also a book.
The exhibit celebrates the two Dune movies, where Josh and Greig “use each other’s medium for inspiration,” and it’s their “way of expressing our deep respect for the film making process, and more particularly our leader Denis Villeneuve. Our intention with the book and subsequent exhibition was to draw attention to the power which the written word and image can enhance each other.”
“Josh and I have helped each other have a deeper understanding of our own respective skills and in tandem are bought back in to a fuller circle, linked by the company of likeminded creativity,” the duo continued in a statement.
The “Dune: Exposures” book is currently available to purchase on Amazon and at Barnes & Noble!
The exhibit is currently open through February 26th at Leica Gallery Los Angeles.
The bucket is the collection of documents which matches with associated filters. Every bucket is associated with a filter. In elasticsearch filter aggregation defines multi buckets. Filters can also be provided as an array of filters. When it receives requests which form in the form of buckets. They are filtered and those filtered buckets returned in the same order as in request. Its field is also provided as a filter array. Parameters are added in response with which the documents do not match the given filters. Those documents returns to the other bucket or in the same bucket named
Even other parameters are also used to set key for those documents to give value other than default. When the process of collecting data starts. Documents are separated and formed into buckets. Each bucket flows through filters. While the process is going on the documents which are away from parameters of the given filter are identified. Those identified files are separated and transferred into other buckets or in the same as default. To avoid them from default, new parameters are formed to create keys for them then they are formed into the new bucket. The filters which we used frequently are caught by elasticsearch automatically.
It stores the documents in the form of JSON each of them relate to one another. This index makes the documents searchable in real time and also helps the users during searching. It is good at full text search. It is also the platform for real time search.
It is known for its time sensitive use, it works fast with rapid results. By using it users can store, search and analyse the data in huge volume and in real time. With this we get rapid results because instead of searching text directly it searches index. It processes and gives back the data as a response in the form of JSON. Its power lies in the tasks distributed, searched and indexed across the cluster. The Cluster part which helps to store data is known as node. It allows users to make copies of the index that process is called replica.
ElasticSearch Training
Master Your Craft
Lifetime LMS & Faculty Access
24/7 online expert support
Real-world & Project Based Learning
How to use Elasticsearch Filters
Generally we need various assistants and applications for searching, storing, filtering, classifying, etc. But, do you ever think that there is a single application which does all those things for us with high speed? Yes, they are named as elasticsearch filters. To use it first we have to submit our text to elasticsearch then it receives our text. Then the text was stored into buckets. Buckets are the collection of documents. When the process is going on these buckets goes through filters which are given for filtering them.
While that process the documents which do not meet the parameters of that filter were identified. Those identified documents are separated from the bucket. Those documents are transferred to other buckets or in the same bucket as default. New parameters are created for those other documents to avoid them from being defaults. Then when we search for the particular topic then our text will be found within seconds. Those text is saved as index instead of saved as text. Because the index helps us a lot in exact results. And also in a short period of time. It filters and searches the exact result for us. Which saves us a lot of time.
Subscribe to our YouTube channel to get new updates..!
Benefits of Elasticsearch Filters:
Used for application search, which rely heavily on search for access and reporting of time.
Used for website search, which stores heavy text. Found useful for accurate searches. Steadily gaining place in the search domain sphere.
Used for Enterprise search, which allows search that includes documents search. Blog search, people search, etc. It replaced many search solutions of popular websites. We can gain great success in company intranet.
Logging and log analytics, which also provides operational insights to drive actions. Used for ingesting and analyzing data in real time.
Used for infrastructure metrics and container monitoring, many companies used it for various metrics to analyze. Which also includes gathering data, parameters which vary for different cases.
Used for security analytics, which access logs. Also concerns system security. In real time.
Used for business analytics, works like a good tool for business analytics. It includes learning the curve for implementing this product. Which is felt as a good feature by many organizations. It also allows non technical users, for creating visualization and performs analytical functions.
It has rebutted distributed architecture which helped a lot in solving queries. And data processing which is easy to maintain.
Drawbacks of Elasticsearch Filters:
It has the ability of searching when there is only the text presented only in data.
The syntaxes for queries made simpler and it has auto sharding.
The documents which they maintain are poor documents, not easy at the first contact.
When we came to pricing it felt good at free trial. But there is a significant jump suddenly into other levels of paid services.
Difficult architecture to optimize. And also easier to understand its bottlenecks.
The encryption which we need is at rest. It has a penalty for performance when using the linked documents.
Sometimes to deal with it you need database knowledge.
ElasticSearch Training
Weekday / Weekend Batches
Conclusion
Finally, companies found a great application for their maintenance. Which helps the organizations a lot in many necessary works. They are like searching, storing, filtering, and organizing into the index. The index is the best feature maintained by it. Because generally search engines save the text as the data presents. But instead it saves the data in the index. Which helps a lot while searching it gave accurate results. With in low time which also saves a lot of time. The requests made by customers and the result it gave as feedback is in the form of JSON. However, its special features gain its position in the market and even holds it in future as the best and useful application for the development of organizations.
If you paid attention to the Federal Reserve’s monetary decisions last year, you might have been surprised by something: The Fed’s three interest rate cuts didn’t help mortgage rates get cheaper for homebuyers.
The Fed’s relationship to home loan rates isn’t direct or immediate. In many ways, what the Fed says matters more for the market than what it does.
In other words, the Fed doesn’t control the mortgage market. Mortgage rates are volatile and more influenced by the bond market, investor expectations and other economic factors.
On Wednesday, the Fed is expected to announce a pause from its rate-cutting path. What does that mean for mortgage rates?
If Fed Chair Jerome Powell signals concerns about inflation or mentions the possibility of interest rate hikes, bond yields and mortgage rates are likely to increase. If he speaks favorably about inflation being under control and points to ongoing policy easing in the coming months, mortgage rates could go down.
Here’s what to know about how the government’s interest rate policy affects mortgage rates.
What is the Federal Reserve’s relationship to mortgages?
The Fed, established by the 1913 Federal Reserve Act, sets and oversees US monetary policy to stabilize the economy. It consists of 12 regional banks and 24 branches, and it is run by a board of governors who are voting members of the Federal Open Market Committee.
The FOMC sets its benchmark federal funds rate, the rate at which banks borrow and lend their money. In an inflationary environment, the Fed raises interest rates to slow economic growth and make borrowing money more cost-prohibitive. When the economy is in a slump or downturn, the Fed reduces interest rates to stimulate consumer spending and propel growth.
Though the Fed doesn’t directly set mortgage rates, it influences them by altering the price of credit, which has a domino effect on mortgage rates and the broader housing market over the long term. For example, banks typically pass along the Fed’s rate hikes to consumers in the form of higher interest rates for longer-term loans, including home loans.
What is the outlook for Fed rate cuts and mortgage rates?
Since the November election, investors have been “pricing in” expectations for higher inflation and fewer Fed cuts in 2025, effectively driving up bond yields and mortgage rates. President Donald Trump’s proposals for tariffs, tax cuts and mass deportations are widely considered to be inflationary, which isn’t good for mortgage rates.
Economists say it’s too early to say how Trump’s economic agenda and a Republican-led Congress might alter the central bank’s approach to interest rate adjustments, noting only that the Fed plans to move cautiously.
“It’s a bit of a ‘wait-and-see’ period with regard to the new administration, and a lot may happen over the first 100 days of it, given the flurry of executive orders,” said Keith Gumbinger, vice president of HSH.com.
If the Fed implements additional rate cuts or even simply signals that it plans to in the near future, mortgage rates should gradually decline. However, the timing of those cuts, as well as the economic data we get between each policy meeting, will determine how quickly (and how far) mortgage rates can fall.
“I think [the Fed] will want to see the impact of President Trump’s tariffs and other policies on inflation,” said Melissa Cohn, regional vice president at William Raveis Mortgage. The earliest Cohn thinks the central bank will consider cutting rates again would be at its May policy meeting.
Absent a significant downshift in inflation or a jump in unemployment, it’s unlikely 30-year fixed mortgage rates will drop below 6% any time soon.
What factors affect mortgage rates?
Mortgage rates move around for many of the same reasons home prices do: supply, demand, inflation and even the employment rate. Additionally, the individual mortgage rate you qualify for is determined by personal factors, such as your credit score and loan amount.
Economic factors that impact mortgage rates
Policy changes from the Fed: When the Fed adjusts the federal funds rate, it spills over into many aspects of the economy, including mortgage rates. The federal funds rate affects how much it costs banks to borrow money, which in turn affects what banks charge consumers to make a profit.
Inflation: Generally, when inflation is high, mortgage rates tend to be high. Because inflation chips away at purchasing power, lenders set higher interest rates on loans to make up for that loss and ensure a profit.
Supply and demand: When demand for mortgages is high, lenders tend to raise interest rates. The reason is because lenders have only so much capital to lend out in the form of home loans. Conversely, when demand for mortgages is low, lenders slash interest rates to attract borrowers.
The bond market: Mortgage lenders peg fixed interest rates, like fixed-rate mortgages, to bond rates. Mortgage bonds, also called mortgage-backed securities, are bundles of mortgages sold to investors and are closely tied to the 10-year Treasury. When bond interest rates are high, the bond has less value on the market where investors buy and sell securities, causing mortgage interest rates to go up.
Other economic indicators: Employment patterns and other aspects of the economy that affect investor confidence and consumer spending and borrowing also influence mortgage rates. For example, a strong jobs report and a robust economy could indicate greater demand for housing, which can put upward pressure on mortgage rates. When the economy slows and unemployment is high, mortgage rates tend to be lower.
Personal factors that impact mortgage rates
The specific factors that determine your particular mortgage interest rate include:
Is now a good time to shop for a mortgage?
Even though timing is everything in the mortgage market, you can’t control what the Fed does.
You can get the best rates and terms available by making sure your financial profile is healthy while comparing terms and rates from multiple lenders.
Regardless of the economy, the most important thing when shopping for a mortgage is to make sure you can comfortably afford your monthly payments.
“Buying a home is the largest financial decision a person will make,” said Odeta Kushi, deputy chief economist at First American Financial Corporation. If you’ve found a home that fits your lifestyle needs and budget, purchasing a home in today’s housing market could be financially prudent, Kushi noted.
If you’re priced out, it’s better to wait. “Sitting on the sidelines may allow a potential buyer to continue to pay down their debt, build up their credit and save for the down payment and closing costs,” she said.
The bottom line
The Federal Reserve plans to hold interest rates steady in January, but it’s not uncommon for the federal funds rate and mortgage rates to move in different directions for some time. Mortgage rates will continue fluctuating in response to inflation, investor expectations and the broader economic outlook. Experts predict that mortgage rates should go down slowly over the next year.
If you’re shopping for a mortgage, compare the rates and terms offered by banks and lenders. The more lenders you interview, the better your chances of securing a lower mortgage rate.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
