Getting Started¶

There are several ways to access NWSL data, depending on your needs and technical comfort level. Choose the option that works best for you.

Quick Access (No Setup Required)¶

ChatGPT¶

The easiest way to start exploring NWSL data.

Access: NWSL Data GPT

Best for: Quick questions, casual exploration, fans

Example questions: - "Who are the top 5 goal scorers in 2024?" - "How did Portland Thorns perform at home vs away?" - "Show me Sophia Smith's shooting stats"

Claude (with MCP)¶

Advanced AI analysis with direct database access.

Setup: Add MCP server to Claude Desktop configuration

Best for: Deep analysis, tactical insights, researchers

Example queries: - "Compare Rose Lavelle and Sofia Smith field positioning effectiveness" - "Analyze Kansas City Current's defensive patterns in the final third" - "Formation effectiveness when teams are trailing by 1 goal"

Full Claude setup instructions →

Interactive Analysis¶

Jupyter Notebooks¶

Run your own analysis with pre-built notebooks.

Google Colab (browser-based, no installation): 1. Open NWSL Starter Notebook 2. Click "Run All" to connect to the database 3. Modify queries and create visualizations

Local Jupyter (Python required):

pip install jupyter pandas matplotlib plotly psycopg2
jupyter notebook nwsl_analysis.ipynb

Best for: Custom analysis, visualizations, data science projects

Direct Database Access¶

REST API¶

Programmatic access for applications and advanced users.

Endpoint: https://api.nwsldata.com

Natural language queries:

curl -X POST "https://api.nwsldata.com/query" \
  -H "Content-Type: application/json" \
  -d '{"query": "Top scorers by team in 2024"}'

Direct SQL (for data scientists):

curl -X POST "https://api.nwsldata.com/sql" \
  -H "Content-Type: application/json" \
  -d '{"sql": "SELECT player_name, goals FROM player_stats ORDER BY goals DESC LIMIT 10"}'

Best for: Applications, automated analysis, integration projects

Web Application¶

User-friendly interface for data exploration.

Access: nwsldata.com

Features: - Interactive charts and visualizations - Team and player comparison tools - Download capabilities for further analysis - Mobile-responsive design

Best for: Visual exploration, sharing insights, presentation-ready charts

Which Option Should I Choose?¶

Getting Help¶

• Quick questions: Use ChatGPT for immediate answers
• Technical issues: Check the Developers section
• Use case examples: See Use Cases for inspiration
• System details: Review Architecture for technical overview

Ready to explore NWSL data? Pick your preferred access method above and start asking questions!