Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data Meets Fantasy Football
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Modeling > Big Data Meets Fantasy Football
Big DataModelingNew Products

Big Data Meets Fantasy Football

GilAllouche
GilAllouche
5 Min Read
fantasy sports and big data
SHARE

fantasy sports and big dataFantasy sports, especially fantasy football, are a huge business in the United States. According to the Fantasy Sports Trade Association more than 30 million Americans play fantasy football and spend more than $10 billion a year on it. With the continued increase in fantasy football’s popularity along with the NFL’s popularity, those numbers are expected to keep on rising.

fantasy sports and big dataFantasy sports, especially fantasy football, are a huge business in the United States. According to the Fantasy Sports Trade Association more than 30 million Americans play fantasy football and spend more than $10 billion a year on it. With the continued increase in fantasy football’s popularity along with the NFL’s popularity, those numbers are expected to keep on rising.

Because it’s become such a lucrative business there are numerous platforms that companies are using to grab a share of the market. The 2014-2015 season will signal the entrance of another business, perhaps unexpectedly — big data.

Traditionally big data technology has been implemented most often by large businesses. In recent years that has changed with cost-reducing technologies such as big data analytics cloud computing which has made big data technology much more accessible and cost efficient for small businesses. And now there is yet another big data platform — individual fantasy football players.

More Read

big data use in video production
Big Data Holds the Key to Television and Online Video Production
How Machine Learning Is Changing Big Data Management
Pretty Pictures of BI: Tableau
Big Data Increasing the Demand for Skilled Analysts Across All Industries [INFOGRAPHIC]
Text Analytics WIIFM (What’s in it for Me?)

Competitive Edge, the aptly named company that will be providing this big data technology to NFL players, hopes to analyze three different areas to provide the fantasy football user the best options in picking their teams each week. They’ll be analyzing and rating players based in their performance in mental, physical and environmental categories.

Competitive Edge is one of the first companies to take big data down to the individual level and carries extremely high expectations for its implementation. The company is banking on the idea that its big data technology will be able to accurately predict how well players will perform overall based on the three previously mentioned categories. Big data allows the company to gather enormous amounts of information on every player and every play, in real-time, to give users extremely accurate and up-to-date information on each player. And it’s doing this all for the small price of $5 per month per user.

Just as professional sports have slowly evolved from gut feelings and raw stats to draft players and put together teams to using complex algorithms and data, so too has the fantasy edition of sports. Users need no longer rely simply on gut feelings, they’ll have the data to make the decision for them.

Users can now pick their players based on their mental toughness or weakness, physical stamina, how well they play at home, on the road, outside, indoors, in warm weather or in the cold. And that’s just some of what Competitive Edge is giving their users.

It’s amazing that this type of information is now available to fantasy football players. It’s the stuff you’d expect top level executives to concerned about, not fantasy football users. Competitive Edge, however, is showing that big data can be used by everyone, and it’s not just for the higher-ups.

The implications on the fantasy football business and the NFL are huge. Its taking fantasy football to a completely different level. It’s already slowly evolved from just a fun thing to do on Sundays, to a serious competition that consumes people during the entire football season and beyond. It also signals implications for the NFL itself. These fantasy football users are going to be very well informed. Owners, general managers and coaches won’t be able to get away with poor moves because the fans will easily spot it. There will be increased scrutiny on each play call and position assignment. It also increases the pressure on the players themselves to perform to peak levels each week.

It’s amazing that big data technology can have such a profound effect in so many different areas, including fantasy football and the NFL. Competitive Edge is showing companies everywhere that there’s a use for big data, no matter the industry and no matter the size. The technology’s ability to gather, store and analyze large sets of information make it valuable everywhere. Now, especially, with the low startup costs that big data in the cloud provides, businesses of all sizes can make use of it.

Image Source: Pixabay

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Friendship data: 33Across crunches the numbers [audio interview]

5 Min Read

Data Mining Interview: Guillaume Main

5 Min Read

WHAT WILL CHANGE EVERYTHING? “What game-changing…

1 Min Read
Hadoop in retail
AnalyticsBig DataData VisualizationHadoopMapReduceMarketing AutomationModelingPredictive AnalyticsSentiment AnalyticsSocial DataSocial Media AnalyticsSoftwareSQLText AnalyticsUnstructured DataWeb Analytics

5 Common Use Cases for Hadoop in Retail

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?