Inspiration
Our initial idea came from the recent events of the NFL playoffs. We are seeing so many surprising upsets between lower/statistically weaker teams and better/statistically stronger teams
What it does
The webapp takes in the names of two teams and gives an approximate score and who will win depending on our parameters/data points we chose to prioritize
How I built it
We first wrote a python command line app that just takes in the team names. Since the nature of our app is fairly simple, we used a simple template for the front end that is still relatively elegant. Then to join the frontend and backend together, we used Flask.
Challenges I ran into
We had trouble coming up with an interesting algorithm to predict. We wanted it to be fun, but also not be completely ridiculous.
Accomplishments that I'm proud of
This is the least problems and issues we've ran into so far when working with Flask.
What I learned
This is the first time that we've really dived into looking at football advanced stats and using data to create and algorithm based on certain trends.
What's next for NFL-GP
We can try using machine learning and using more data points to create a new algorithm that is more accurate. However, we realize that the predictions can only be so accurate due to some chance occurrences and the ever changing rosters on football teams
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