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Update SEO and add missing documentation
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docs/conf.py

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"source_branch": "main",
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"source_directory": "docs/",
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}
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html_title = "OpenSkill for Python"
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html_title = "OpenSkill - Multiplayer rating system. Better than Elo."
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# OGP Config
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ogp_site_url = "https://openskill.me/en/stable/"
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ogp_site_name = "OpenSkill for Python"
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ogp_site_name = "OpenSkill - Multiplayer rating system. Better than Elo."
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ogp_image = "https://i.imgur.com/tSTFzZY.gif"
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ogp_description_length = 300
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ogp_type = "website"

docs/index.rst

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:og:description: openskill.py is an n-player, n-team skill rating system with the ability to predict match outcomes (like win and draw) with upto 90% accuracy given enough data.
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:og:description: Multiplayer rating system. Better than Elo.
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:og:image: https://i.imgur.com/tSTFzZY.gif
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:og:image:alt: OpenSkill for Python
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openskill.py
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============
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This is the documentation of **openskill** for python. It is an n-player, n-team skill rating system with the ability to predict match outcomes (like win and draw) with upto 90% accuracy given enough data.
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Multiplayer rating system. Better than Elo.
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.. image:: https://i.imgur.com/tSTFzZY.gif
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It is an n-player, n-team skill rating system with the ability to predict match outcomes (like win and draw) with upto 90% accuracy given enough data.
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Contents
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========

docs/manual.rst

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.. image:: https://i.imgur.com/tSTFzZY.gif
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A faster and open license multi-team, multiplayer rating system comparable to TrueSkill.
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This is a port of the amazing `openskill.js`_ package and some of it's models are based on this wonderful `paper`_.
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Predicting Ranks
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----------------
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Sometimes you want to know what the likelihood is someone will place at a particular rank. You can use this library to predict those odds.
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.. code:: python
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>>> from openskill import predict_rank, predict_draw

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