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Using ag to predict the Super Bowl champions

Using ag to predict the Super Bowl champions

Teams from Ohio and California will play for the NFL’s biggest prize on Feb. 13

By Diego Flammini
Staff Writer

Football fans now know the matchup for Super Bowl LVI (56).

Joe Burrow will try to quarterback the Cincinnati Bengals to the team’s first Super Bowl victory. This is the team’s third Super Bowl appearance with the previous two coming in 1981 and 1988.

On the other sideline, Matthew Stafford will be looking to lead his Los Angeles Rams to a championship. The Rams last played in the Super Bowl in 2019 in a losing effort to the New England Patriots.

The team’s last victory came in Super Bowl 34, when the team, still based in St. Louis, Mo., defeated the Tennessee Titans.

Football analysts will take the time leading up to the game to break down offensive and defensive schemes., however, will use United States Department of Agriculture National Agricultural Statistics Service (NASS) data from 2020 to determine the winner.

The breakdown will feature the states of California and Ohio.

** Signals advantage for each team.

NFL TeamCincinnati BengalsLos Angeles Rams
Number of farms77,800 **69,600
Acres operated13,600,00024,300,000 **
Value of top commoditySoybeans - $3.05 billionAlmonds - $5.62 billion **
Acres per farm175349 **
Hog inventory (as of Dec. 2020)2,700,000 **99,000
Milk production (in pounds)5,618,000,00041,282,000,000 **
Dairy goat inventory (as of Jan. 2021)10,00041,000 **


Based on NASS data, the Los Angeles Rams will be the Super Bowl champions.

For any bettors out there, take the prediction with a grain of salt. used NASS data for the games in 2017, 2020 and 2021, and was wrong each time.

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