itscalledsoccer


Nameitscalledsoccer JSON
Version 1.3.0 PyPI version JSON
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home_pageNone
SummaryProgrammatically interact with the American Soccer Analysis API
upload_time2024-08-30 01:47:39
maintainerNone
docs_urlNone
authorNone
requires_python>=3.9
licenseMIT
keywords stats soccer api football american machine learning
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
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# itscalledsoccer

<img src="https://raw.githubusercontent.com/American-Soccer-Analysis/itscalledsoccer-r/main/man/figures/logo.png" align="right" height="175"/>

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---

:warning: **`itscalledsoccer` has been split up into multiple repositories. If you're looking for the R or JavaScript version, check out the links below** :warning::

- [itscalledsoccer-r](https://github.com/American-Soccer-Analysis/itscalledsoccer-r)
- [itscalledsoccer-js](https://github.com/American-Soccer-Analysis/itscalledsoccer-js)

---

<!-- omit in toc -->
## Table of Contents

- [Background](#background)
- [Install](#install)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)

## Background

`itscalledsoccer` is a wrapper around the same API that powers the [American Soccer Analysis app](https://app.americansocceranalysis.com/). It enables Python users to programmatically retrieve advanced analytics for their favorite [MLS](https://en.wikipedia.org/wiki/Major_League_Soccer), [NWSL](https://en.wikipedia.org/wiki/National_Women%27s_Soccer_League), and [USL](https://en.wikipedia.org/wiki/United_Soccer_League) players and teams.

## Install

```sh
pip install itscalledsoccer
```

## Usage

```python
from itscalledsoccer.client import AmericanSoccerAnalysis

asa_client = AmericanSoccerAnalysis()
```

Any of the `get_*` methods can be used to retrieve the same data made available in the [American Soccer Analysis app](https://app.americansocceranalysis.com/). Partial matches or abbreviations are accepted for any player or team names. For most methods, arguments _must be named_. A few examples are below.

```python
# Get all players named "Andre"
asa_players = asa_client.get_players(names="Andre")
```

For more information, check out the [documentation site](https://american-soccer-analysis.github.io/itscalledsoccer/).

## Contributing

See [CONTRIBUTING.md](./CONTRIBUTING.md)

## License

MIT © itscalledsoccer authors

            

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