The Super Bowl is more than just Tom Brady, Budweiser, and yelling at your TV. Here are three things you should look out for this Sunday when it comes to data analytics and the NFL annual championship game:

Data can help you choose which team to bet on

University of Pittsburgh researcher Konstantinos Pelechrinis used seven years of NFL data and statistics to predict that the Atlanta Falcons will defeat the New England Patriots at the Super Bowl LI. Pelechrinis used a probability model to develop a Football Prediction Matchup (FPM) engine, and ran 10,000 simulations of games between Patriots and Falcons. He ran his model on the 2017 NFL Playoffs with an accuracy rate of 90%, and claims that the FPM can predict outcomes of all NFL games with 63% accuracy. To compare his analysis with experts, Super Computers, and a Magic 8 Ball, check out this list of predictions from The Verge.

Data can make sure Lady Gaga’s halftime show is a real crowd pleaser

Based on historical streaming data and trends, Forbes put together the ideal track list for Lady Gaga’s halftime show. The data suggest that Gaga should play older hits like Paparazzi, Bad Romance, and Telephone, instead of sticking to tracks from her recent album Joanne. However, the article also sites the qualitative observation that Beyonce put on an incredible halftime show last year with Formation, a song that was only one day old. Sunday will show us whether the pop star goes the analytical route or chooses an entirely unpredictable set.

Data can tell you when to buy Super Bowl tickets

Event ticket search engine TicketIQ recently launched the first Super Bowl data analytics platform for buyers looking to attend the game. The platform will show zone-level statistics, travel costs, and seven years of historical price data. Similar to’s predict vs buy algorithm, the goal is to provide football fans with full information when it comes to when and where to buy Super Bowl tickets. Regardless, it’s going to be expensive. 2017 Super Bowl tickets cost an average of $4243, making them the third most expensive in Super Bowl history.

Whether data is as important as Super Bowl snacking depends on your priorities, but you can’t deny that both play a huge role in Super Bowl Sunday.



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