Utilities to scrape player data for AFL fantasy, predict future scores, and generate optimisations for a starting 22 under the $13M budget.

Clone the repo and run python3 linear_optimisation.py. This uses the file players2021round2predictionsdup.csv which was generated in Excel from round 1 scores. The result should be a list of 22 players which is the optimal team for round 2 of 2021 based on round 1 scores.

Contains utilities to scrape player data from known sources once they are downloaded into an excel spreadsheet. Also contains utilities to store and retrieve player list to/from csv files.

Contains utilities to find the optimal team under a given budget from a list of players. When each player has a position, price, and projected points, the optimisation can be done.

Contains utilities to generate averages between firstRound and lastRound for all players from a previous season.

Contains an abstract data type Page which has the function getAllPages which allows one to implement the pagination for different websites.

Builds on page.py by defining a new type CommentsPage which inherits Page with additional functionality to list the comments from a page.

Contains utilities to tally player mentions from a comments list generated by commentspage.py.