A comprehensive football betting assistant for real-time odds scanning, expected value (EV) analysis, and professional bankroll management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install footyclaw
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install footyclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
FootyClaw is a sophisticated Openclaw Skills integration designed to transform football betting into a data-driven discipline. By leveraging real-time data from The Odds API, it automates the discovery of value bets across major global leagues including the EPL, La Liga, and Champions League.
The skill focuses on mathematical edge detection by comparing market odds against Pinnacle's fair probability. It provides a full-lifecycle workflow—from initial bankroll setup and shareholder equity tracking to advanced Expected Value (EV) calculations and Kelly Criterion-based stake sizing, ensuring users maintain professional risk management.
daily_scanner.py to pull real-time market data via your ODDS_API_KEY, covering a 36-hour forward-looking window.To use FootyClaw, you must configure your API credentials and initialize your bankroll within the Openclaw Skills environment:
ODDS_API_KEY.# Example initialization command
Analyze tonight's games with a starting bankroll of 10000
python3 scripts/daily_scanner.py --bankroll 10000 --min-ev 1.0 --hours-ahead 36
FootyClaw manages data through session memory and structured reference files to ensure consistency without heavy local storage requirements.
| Data Type | Description | Storage Method |
|---|---|---|
| Ledger | Daily logs of bets, odds, results, and profit/loss | Markdown Table (Conversation Memory) |
| Market Data | Real-time odds from major bookmakers | Volatile (API Fetch) |
| Analysis Framework | Guidelines for xG, injuries, and league-specific trends | references/fundamental-analysis.md |
| Betting Rules | Logic for Asian Handicap and O/U settlements | references/betting-rules.md |
| Performance Visuals | Base64 encoded SVG equity curves | In-memory generation (Stdout) |
chart_generator.py that outputs Base64 images directly to the UI without saving local files.Loading
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