itscalledsoccer


Nameitscalledsoccer JSON
Version 1.3.1 PyPI version JSON
download
home_pageNone
SummaryProgrammatically interact with the American Soccer Analysis API
upload_time2024-12-14 00:08:30
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.
            <!-- omit in toc -->
# itscalledsoccer

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

<br>


<!-- badges: start -->
[![standard-readme compliant](https://img.shields.io/badge/readme%20style-standard-brightgreen.svg?style=flat-square)](https://github.com/RichardLitt/standard-readme)
![PyPi Version](https://img.shields.io/pypi/v/itscalledsoccer.svg)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/itscalledsoccer)
![Python tests](https://github.com/American-Soccer-Analysis/itscalledsoccer/actions/workflows/python-tests.yml/badge.svg)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI download month](https://img.shields.io/pypi/dm/itscalledsoccer.svg)](https://pypi.python.org/pypi/itscalledsoccer/)
[![codecov](https://codecov.io/github/American-Soccer-Analysis/itscalledsoccer/graph/badge.svg?token=RUWMM7ZLQ2)](https://codecov.io/github/American-Soccer-Analysis/itscalledsoccer)
<!-- badges: end -->

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

- [Background](#background)
- [Install](#install)
- [Usage](#usage)
- [Other versions](#other-versions)
- [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/).

## Other versions

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

## Contributing

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

## License

MIT © itscalledsoccer authors

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "itscalledsoccer",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": null,
    "keywords": "stats, soccer, api, football, american, machine learning",
    "author": null,
    "author_email": "American Soccer Analysis <americansocceranalysis@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/b0/53/6976200925a40821b67740cfa714d06ceb98b291ecdaf67c21cee940333a/itscalledsoccer-1.3.1.tar.gz",
    "platform": null,
    "description": "<!-- omit in toc -->\n# itscalledsoccer\n\n<div align=\"center\">\n    <img src=\"https://raw.githubusercontent.com/American-Soccer-Analysis/itscalledsoccer-r/main/man/figures/logo.png\" align=\"center\" height=\"175\"/>\n</div>\n\n<br>\n\n\n<!-- badges: start -->\n[![standard-readme compliant](https://img.shields.io/badge/readme%20style-standard-brightgreen.svg?style=flat-square)](https://github.com/RichardLitt/standard-readme)\n![PyPi Version](https://img.shields.io/pypi/v/itscalledsoccer.svg)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/itscalledsoccer)\n![Python tests](https://github.com/American-Soccer-Analysis/itscalledsoccer/actions/workflows/python-tests.yml/badge.svg)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![PyPI download month](https://img.shields.io/pypi/dm/itscalledsoccer.svg)](https://pypi.python.org/pypi/itscalledsoccer/)\n[![codecov](https://codecov.io/github/American-Soccer-Analysis/itscalledsoccer/graph/badge.svg?token=RUWMM7ZLQ2)](https://codecov.io/github/American-Soccer-Analysis/itscalledsoccer)\n<!-- badges: end -->\n\n<!-- omit in toc -->\n## Table of Contents\n\n- [Background](#background)\n- [Install](#install)\n- [Usage](#usage)\n- [Other versions](#other-versions)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Background\n\n`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.\n\n## Install\n\n```sh\npip install itscalledsoccer\n```\n\n## Usage\n\n```python\nfrom itscalledsoccer.client import AmericanSoccerAnalysis\n\nasa_client = AmericanSoccerAnalysis()\n```\n\nAny 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.\n\n```python\n# Get all players named \"Andre\"\nasa_players = asa_client.get_players(names=\"Andre\")\n```\n\nFor more information, check out the [documentation site](https://american-soccer-analysis.github.io/itscalledsoccer/).\n\n## Other versions\n\n- [itscalledsoccer-r](https://github.com/American-Soccer-Analysis/itscalledsoccer-r)\n- [itscalledsoccer-js](https://github.com/American-Soccer-Analysis/itscalledsoccer-js)\n\n## Contributing\n\nSee [CONTRIBUTING.md](./CONTRIBUTING.md)\n\n## License\n\nMIT \u00a9 itscalledsoccer authors\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Programmatically interact with the American Soccer Analysis API",
    "version": "1.3.1",
    "project_urls": {
        "Repository": "https://github.com/American-Soccer-Analysis/itscalledsoccer"
    },
    "split_keywords": [
        "stats",
        " soccer",
        " api",
        " football",
        " american",
        " machine learning"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f497f9c3fddd0fab53dc69c403fbc7cf8b93af31f13a2e0dab82d167bfc6c6d2",
                "md5": "5d3e547944bddaadf8546a9f416286b1",
                "sha256": "39437f0c62c8a6c6e57c0bd24e37d451567545a2331b71924e0156e60c779a68"
            },
            "downloads": -1,
            "filename": "itscalledsoccer-1.3.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "5d3e547944bddaadf8546a9f416286b1",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 9413,
            "upload_time": "2024-12-14T00:08:27",
            "upload_time_iso_8601": "2024-12-14T00:08:27.998099Z",
            "url": "https://files.pythonhosted.org/packages/f4/97/f9c3fddd0fab53dc69c403fbc7cf8b93af31f13a2e0dab82d167bfc6c6d2/itscalledsoccer-1.3.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b0536976200925a40821b67740cfa714d06ceb98b291ecdaf67c21cee940333a",
                "md5": "68b4e5376cb6d659ea2ab222428dc5bd",
                "sha256": "8a853d4b5f16608a234c7176d961372adb3ed8f4cc2ab955c7e7c0ccc5a5f6e8"
            },
            "downloads": -1,
            "filename": "itscalledsoccer-1.3.1.tar.gz",
            "has_sig": false,
            "md5_digest": "68b4e5376cb6d659ea2ab222428dc5bd",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 11628,
            "upload_time": "2024-12-14T00:08:30",
            "upload_time_iso_8601": "2024-12-14T00:08:30.480342Z",
            "url": "https://files.pythonhosted.org/packages/b0/53/6976200925a40821b67740cfa714d06ceb98b291ecdaf67c21cee940333a/itscalledsoccer-1.3.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-12-14 00:08:30",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "American-Soccer-Analysis",
    "github_project": "itscalledsoccer",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "itscalledsoccer"
}
        
Elapsed time: 0.46026s