The NFL is a league in which stats trump history.
And it’s been that way since the first-ever game of its new season took place on Sunday.
So when it comes to predicting future seasons, fans have always had a great deal of control over what’s in front of them.
For decades, teams and fans have been left to decide how to use their data in an attempt to create and deliver better products to fans.
And as the season draws to a close, that’s about to change.
The NFL has made a concerted effort to make data-driven decisions more common in how it’s used, and with the advent of technology like analytics platforms like Sports Info, it seems like the NFL is finally getting there.
The league has made an effort to change how it uses data, too, and now its trying to figure out how to leverage that data to get more of it to its fans.
A new study by the NFL, Sports Analytics Research, shows that a significant amount of that data, in fact, is being used for business purposes.
The study, which was conducted by Sports Analytics, is a collaboration between Sports Info and the NFL and has been commissioned by the league’s chief data officer, Rob Rang.
In its analysis, the study analyzed data from the NFL for 2016 season and found that teams had been using analytics tools in ways that “impose a financial burden on fans” in the past two years.
That included a study done in 2017 that showed the average season ticket holder paid $2,300 more in the 2016 season than the same year a year earlier.
A 2016 study also found that a single game ticket can cost up to $300 more than the season-ticket price of the next game the same season.
And when it came to average season tickets, the analysis found that the average price per seat was $1,800 higher than the price per season ticket that year.
Those prices are what the study called “financial burdens,” which were calculated using the following formula: “Average ticket price x average season attendance in a given year.”
In other words, the more season tickets you have, the higher your financial burden.
For example, if you have three season tickets and your average ticket price is $250, then you’ll pay $150 more each season for your season tickets.
Those numbers, combined with the financial burdens the average team and fan would have to put up with in the next year, could be enough to drive fans to make a purchase in order to keep the team in the stands.
And that’s exactly what happens.
According to the study, the average amount of money a team and a fan would be expected to pay to keep a team in town is: “Team ticket price: $150 + $1.50 per ticket.”
This figure, however, is only used to calculate the financial burden and does not include any other costs like parking fees, parking passes, or other team-related costs.
The total value of the financial obligations a fan has to pay for their team and the team’s fans is then used to figure a fan’s financial burden based on the team and their season ticket prices.
That’s where the analytics tools come in.
According the study: “For the 2015 season, the total team ticket price was $7,500.
The average team ticket cost for a single season ticket was $3,500, so the total amount of financial burden was $8,000 for the 2015 team.”
For 2016, the cost of a single team season ticket rose to $6,000, the highest level of financial burdens in the study’s analysis.
So in 2016, if a fan had three tickets and paid $500 more each year, the financial obligation to keep that team in their stadium would be $8.5 million.
If they also bought a season ticket for a team that was just 2-6 at the time, the same amount would have been incurred.
But if the team is now 8-6, the costs are even higher.
For instance, if the NFL had a $1 million payroll and a team with an average ticket cost of $1 billion, the amount of burden would have gone up to a whopping $10 million.
To put that into perspective, that means a $300 ticket for the next three games would cost $2.5 billion to keep on the shelf.
This study also looked at how teams and their fans had used the information they gathered to create marketing campaigns.
In 2016, when the study began, the NFL did a little more than nothing.
The only marketing campaigns the league put out were a limited-edition “Hip-Hop for Hire” and “Hoop Dreams,” which did little to change the league in the short term.
But this year, when it was revealed that the league was using analytics in marketing, things changed.
In 2017, the league began using analytics to help it make its advertising.
This was the first year that the NFL used the analytics tool