Sportpools selection optimiser

This package runs a simple script to optimise your Sportpools selection. It uses the Singles forecast as described on TennisAbstract.

Game rules

• A selection of players consists of 14 regular players.
• One should choose 1 "loser" (this is still a manual step, see Limitations).
• Each round a loser makes it through, subtracts 10 points from the score total.
• Each player has an amount of "black points", ranging from 0 up to 5, depending on his seed.
• Each selected player reaching a next round receives 10 - bp points.
• Each selected player reaching a next round as of the fourth round receives 2 * (10 - bp) points per win.
• A joker is someone who gets extra points for reaching the fourth round: score = 50 - 5 * bp.

Installation

pip install git+https://github.com/bartcode/sportpools-tennis.git

Usage

1. Install this package.
2. Go to TennisAbstract and select the forecast of the upcoming Grand Slam.
3. Save the page as HTML-only and save it to your disk.
4. Run sportpools -f ./page.htm.

usage: sportpools [-h] -f FILE [-b BLACK_POINTS] [-c COUNT] [-l LOSER]

Optimise your Sportpools player selection

optional arguments:
  -h, --help            show this help message and exit
  -f FILE, --file FILE  Path to file to import
  -b BLACK_POINTS, --black BLACK_POINTS, --black-points BLACK_POINTS
                        Total number of black points to use
  -c COUNT, --count COUNT, --player-count COUNT
                        Number of players to select
  -l LOSER, --loser LOSER
                        Selected loser

Notes

• The number of available black points is 20 by default, but can be adjusted using the -b argument. Do note it is automatically adjusted when you define your loser.

Limitations

• A loser must still be chosen by the player and can be passed as an argument to the script with -l.
• The joker is eventually chosen manually, but a list of suggestions is created.