Using Claude to Extract Data from a 1997 Football Manager Game

Ben Nuttall reverse-engineered FIFA Soccer Manager 97 (FSM97) using Claude as a data extraction assistant. Pointing Claude at the Wine-installed game directory, the AI located SM97.DAT and parsed player names, stats, club assignments, stadiums, and manager data — all mapped to real-world football entities. The goal was reproducibility: the entire pipeline now lives as Python scripts on GitHub.
Key Details
- Source file:
SM97.DATcontains all game data including player full names (e.g., "David Beckham" vs. in-game "D. Beckham"), stadium names, club nicknames, and even managers never shown in game. - Initial query: Claude answered simple questions (biggest stadium, highest-rated player) by reading the binary file directly.
- CSV export: Claude generated CSV files for all data; column names for player stats were unknown, so Nuttall launched the game to map them (e.g., using David Seaman's stats as a calibration reference).
- Site generation: After fixing a few hallucinated data points, Claude built an interlinked HTML site at fsm.bennuttall.com showing players, clubs, stadiums, and trivia.
- Data corrections: Abbreviated team names like "Sheffield W" were expanded to "Sheffield Wednesday". Stadium typos (e.g., "Bramall Lane Ground") were fixed without altering gameplay data.
- Easter eggs discovered: Olympic champion Daley Thompson appears as a player at Mansfield Town. Player-manager relationships detected (e.g., player also listed as manager for same club).
- Shared stadiums: Clubs like Crystal Palace and Wimbledon both use Selhurst Park; the data now tracks this.
- Top stats pages: Generated lists of top-rated players, best players by age group, top player-managers, and stadiums by capacity. Notably, the "EA All Stars" club contains fictional highly-rated players.
Reproducibility
All Python code to extract data and build the website is open source on GitHub. Others can run the same pipeline without needing Claude or any AI tool by using the published CSVs and scripts.
📖 Read the full source: HN AI Agents
👀 See Also

Open-source Gmail MCP server adds multi-account support and write access
An open-source MCP server enables Claude AI to connect to multiple Gmail accounts with full read/write capabilities, including archiving, labeling, and auto-unsubscribe functionality. It supports Gmail search syntax and can be deployed to Railway in 5 minutes or self-hosted.

Time Complexity MCP: Static Analysis Tool Feeds Big-O Complexity to AI Coding Agents
Time Complexity MCP is an open-source MCP server that performs static code analysis to detect Big-O complexity, feeding the results directly to AI coding agents like Claude Code or Copilot without token consumption. It supports JavaScript, TypeScript, Python, Java, Kotlin, and Dart.

Claude Code Remote Control: Continue Local Sessions from Any Device
Claude Code Remote Control lets you continue local Claude Code sessions from other devices like phones or browsers while keeping everything running on your machine. It's available as a research preview on Pro and Max plans, requiring authentication and workspace trust setup.

Open-source trust scoring hook for Claude Code monitors sessions, blocks protected paths
A developer built a Python hook that scores every Claude Code session on reliability, scope, and cost dimensions, blocks access to protected paths like .env files, and hash-chains events for tamper detection. The single-file tool is available on GitHub.