- Overview
- Quickstart Guide
- FAQ
- Installation
- Supported League Loaders
- Stats Explained
- Running Tests
- Contributing
- License
- Credit
This library allows you to take data from an existing fantasy football league and get instant stats from that league
into either a Python script or an Excel spreadsheet.
This library supports multiple fantasy sites AND manual league data input.
Python stats will be stored in these objects:
Excel sheets will include:
- A tab for each year with team stats
- A tab for each year with matchup info
- A tab for all-time with team stats
- A tab for all-time with matchup info
- A tab for all-time with owner stats
The main idea behind this library is:
- Load stats into a League object
- Pass this League object into various library methods to extract stats
For guides on how to use this library, see the information
under Supported League Loaders and
in the example
folder.
- Download the latest supported version of Python here.
- Currently, Python version 3.10+ is supported
- Create a file that ends in the extension ".py"
- Example: my_script.py
- Navigate in your terminal to the directory where you created your Python script in Step 2
- Run the command
pip install leeger
- If you do not have pip installed, you will need to install it
- Find the site/s you use for fantasy football here
- Follow the Setup Documentation
- Once you have everything you need for your selected site/s, use the code examples
found here for your specific site/s to
download your league data
- You can put the code inside the Python script you created in Step 2
- If you have leagues that are continued in multiple sites, you can pull from multiple sites and add the League objects
together to combine the different sites
- An example of this can be found here
- Navigate in your terminal to the directory where you created your Python script in Step 2
- Run the command
py my_script.py
- Replace my_script.py with whatever you named your script in Step 2
- Slightly alter your script from Step 2 to include a function call to load your league stats into Excel
- Follow this example
- Make sure that you are passing the League object that you pulled from the league loader/s into the function call to put your stats into Excel
Question: I'm getting this error when I run my script:
TypeError: dataclass() got an unexpected keyword argument 'kw_only'
Answer:
This error occurs when the Python version you are using is not 3.10 or greater.
Make sure you are using Python version 3.10 or a newer version.
Q: How do I use this library to pull stats from my online fantasy league?
A:
- Find your fantasy site here and ensure you have everything you need for the site you are using
- Follow the example code snippets for your fantasy site to load the League object
Q: How can I get stats into Excel once I have my League object?
A: Follow this example code.
Q: Can I combine years from different fantasy sites that are loaded as separate League objects into a single League object?
A:
Yes, the League object supports addition (+) to combine multiple league objects.
An example of this can be
found here.
Q: Can I disable validation on my League object?
A:
Yes. While it is not recommended that you disable this, as validation ensures the stats are calculated properly,
disabling validation can be done by passing validate=False
into any method that takes a League object OR any loadLeague()
method from a League Loader.
Use the package manager pip to install.
pip install leeger
Sites that you can automatically load your league data from.
Name | Website | Supported | Setup Documentation |
---|---|---|---|
ESPN | https://www.espn.com/fantasy/football/ | ✔️ | ESPN 📄 |
Fleaflicker | https://www.fleaflicker.com/ | ✔️ | Fleaflicker 📄 |
MyFantasyLeague | http://home.myfantasyleague.com/ | ✔️ | MyFantasyLeague 📄 |
NFL | https://fantasy.nfl.com/ | ❌ | ❌ |
Sleeper | https://sleeper.com/fantasy-football/ | ✔️ | Sleeper 📄 |
Yahoo | https://football.fantasysports.yahoo.com/ | ✔️ | Yahoo 📄 |
If a fantasy site you use is not listed here and you would like it to be, please open an issue.
Stats used in this library are documented here.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Run these commands from the root folder
- Format Code:
./main fmt
- Run Unit Tests:
./main test
- Generate Coverage Report:
./main cov
Run the following command from the root folder:
pytest