A competition in which participants select imaginary teams made up of players in the NFL and score points according to the actual performance of their players on a week by week basis. Some fantasy league have fees to play and provide prize money to the winners.
Our key business objective was to create a dashboard that would help fantasy football participants make a more informed decision as to which player to draft for their fantasy team. The initial target was to create a dashboard with 3 tabs that would show the following:
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Tab 1: Provide ability to compare two players of the same positions
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Tab 2: Provide parameters that users could adjust to view the top players that fit those parameters
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Tab 3: Provide a place for users to store the position, name, and salary/purchase price of the players they have drafted
- Data on all players, for several previous seasons, and per game
- Fantasy salary / purchase price
- Data sources - Kaggle, Sportsdata.io, Fantasydata.com, and FantasyFootballNerd.com
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We used data from Pro Football Reference
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NFL stats metrics used for the dashboard
- The NFL has a large amount of data points given, but needed lots of work to be cleaned
- Different fantasy football leagues use different scoring methods
- Web scraping
- API
- Free APIs gave limited data
- Paid APIs were too expensive
- Difficult to find defense by team instead of by player
- Python3
- Pandas
- Panel and Panel Interact
- Plotly and HvPlot
- Webscrapping
- Linear Regression