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    "<div align=\"center\" dir=\"auto\">\n",
    "  <img src=\"https://raw.githubusercontent.com/martineastwood/penaltyblog/refs/heads/master/logo.png\" alt=\"Penalty Blog Logo\" width=\"200\" style=\"max-width: 100%;\">\n",
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    "# penaltyblog: Football Data & Modelling Made Easy\n",
    "\n",
    "**penaltyblog** is a production-ready Python package designed for football (soccer) analytics, providing powerful tools from [pena.lt/y/blog](https://pena.lt/y/blog) for data analysis, outcome modelling, and betting insights. Optimized with Cython, **penaltyblog** delivers high-performance modelling to power faster, efficient predictions.\n",
    "\n",
    "## Features\n",
    "\n",
    "- 🔄 **Streamline JSON Workflows with MatchFlow** – Process deeply nested football event data using a lazy, streaming pipeline built for JSON. Filter, select, flatten, join, group, and summarize large datasets - all without loading everything into memory.\n",
    "- ⚽ **Scrape Data** – Collect match statistics from sources like FBRef, Understat, Club Elo, and Fantasy Premier League.\n",
    "- 📊 **Model Matches Efficiently** – High-performance implementations of Poisson, Bivariate Poisson, Dixon-Coles, and other advanced statistical models, optimized with Cython for rapid analysis.\n",
    "- 💰 **Bet Smarter** – Precisely estimate probabilities for Asian handicaps, over/under totals, match outcomes, and more.\n",
    "- 🏆 **Rank Teams** – Evaluate team strengths with sophisticated methods including Elo, Massey, Colley, and Pi ratings.\n",
    "- 📈 **Decode Bookmaker Odds** – Accurately extract implied probabilities by removing bookmaker margins (overrounds).\n",
    "- 🎯 **Fantasy Football Optimisation** – Mathematically optimize your fantasy football squad to maximize performance.\n",
    "\n",
    "Take your football analytics and betting strategy to the next level with **penaltyblog** 🚀\n",
    "\n",
    "## Installation\n",
    "\n",
    "```bash\n",
    "pip install penaltyblog\n",
    "```\n",
    "\n",
    "## Quick Start - Try it Now!\n",
    "\n",
    "Run these examples directly in your browser (no installation required):\n",
    "\n",
    "| Example | Description | Colab |\n",
    "|---------|-------------|-------|\n",
    "| **Predict Soccer Match Results** | Build a match prediction model from scratch | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1GjrDG_iq_9_lxEQK_aBmr-jCCCnFt0v7?usp=sharing) |\n",
    "| **Process Soccer Data the Easy Way** | Lazy processing of football data using Matchflow | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1rRJV8mNOTLTXmn5cOGT4faxIwIP44pC-?usp=sharing) |\n",
    "| **Calculate Massey Ratings** | Calculate teams' attack and defense strengths | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1d_WPJwQgrogeSI9oIO9fY8s18CPPZ8nL?usp=sharing) |\n",
    "| **Use Pi Ratings** | Like Elo ratings, but better | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12qEDCNYG-FFHOJ_kURe0cm80sScandyh?usp=sharing) |\n",
    "| **Create Interactive Charts** | Create your own interactive football vizualisations | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1xFfIdvmbFcjHlS_2eHEu3NxD-xLNrbpY?usp=sharing) |\n",
    "| **Work Directly With Statsbomb Data** | Connect directly to Statsbomb's API, including their free open data sets | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1xFfIdvmbFcjHlS_2eHEu3NxD-xLNrbpY?usp=sharing) |\n",
    "\n",
    "\n"
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    ".. toctree::\n",
    "   :maxdepth: 1\n",
    "   :caption: Table of Contents\n",
    "\n",
    "   backtest/index\n",
    "   betting/index   \n",
    "   fpl/index\n",
    "   implied/index\n",
    "   install/index\n",
    "   matchflow/index \n",
    "   matchflow_recipes/index\n",
    "   metrics/index      \n",
    "   models/index\n",
    "   ratings/index   \n",
    "   scrapers/index\n",
    "   viz/index\n",
    "\n",
    ".. toctree::\n",
    "   :maxdepth: 1\n",
    "   :caption: Resources & References\n",
    "\n",
    "   api/index\n",
    "   changelog/index  \n",
    "   roadmap/index\n",
    "   references/index"
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