Become the greatest gamer known to man
Ever been too lazy to do your own research? Know nothing about football? This repo is for you! Never make a poor trade again with FantasyTrader It will take in your league's scoring settings and your team's roster, and output the best trades you can make to maximize your points. It will also output the best players to pick up from the waiver wire.
This project is created with:
- ESPN API: 0.32.0
- PyYAML: 6.0.1
- anyascii: 0.3.2
- lxml: 4.9.3
- levenshtein: 0.22.0
First, edit the config file (./config.yml).
Some important settings to take note of is the maximum trade edge, which will greatly influence the trades suggested by being more aggressive and willing to rip people off. The higher it is, the less likely people will accept your trades as they will be worse off.
If you up the maximum trade size, the program will consider many more trades, including 2-for-1 trades, and 2-for-2 trades, even suggesting who to drop.
If your league is private, you must set SWID and ESPN_S2
SWID and ESPN_S2:
These cookies can be found in the storage of the browser. There is a browser extension, which is open source. This is the easiest way to find these cookies.
If you prefer the hard way, there's a quick blurb how to do it here.
League ID:
You can find your league ID by logging into ESPN and navigating to your league. The league ID will be in the browser's URL.
This poor fellow's league id is 1019960684. He did not use this repo.
Team Name:
You better know this one. Either way it's on the league page. If you misspell it a little bit, it will still work. Don't worry, I can't spell aithur.
Clone the Repo and ensure poetry is installed
git clone https://github.com/Pop101/SedOnline/issues
pip install poetryInstall the dependencies using poetry's version management
poetry installNow you can run the applet itself.
poetry run python ./fantasytrader.pyAll relevant output will be printed to the console, feel free to pipe it to a file for safekeeping.
The program will first fetch all the players in your league. It will also source predictions from CSB Sports' Fantasy Rankings.
Using these, it will calculate a 'desireability score' for each player, as described in modules/evaluator.py.
With all scores calculated, the program will check every possible trade with every other player. If a trade will be mutually beneficial, as defined by increasing a team's linup's total desireability, it will be saved.
Now, the program will greedily find a set of best trades from all mutually beneficial trades. It will do this by finding the trade with the highest total increase in desireability, and then removing all trades that involve either of the players in that trade. It will repeat this process until there are no more trades left.
Finally, the program will print out the best trades it found, as well as the best players to pick up from the waiver wire.
It is very likely that the evaluator is rather bad. It is currently somewhat simple, with its largest factors being projected points for next game and all-season projected points. The impact of expert ratings drops quickly after the first few weeks. If you have any ideas on how to improve it, please open an issue or a pull request.
To try out different evaluators, make any change to modules/evaluator.py and rerun the program. It will automatically reload the evaluator and use the new one.
Helpful information: A player's information looks like this:
{
"name": "T. Hill",
"rank": 0,
"percentile": 0.0,
"pos": "WR",
"position": "WR",
"proj_points": 23.9,
"proj_season_points": 293.63
}If you need to pull more player information, you can modify modules/team_info.py to do so.