Greyhound Predictor
Analyzes greyhound races, fetches data, and predicts winners/placings for upcoming races based on form, odds, and simple models.
Why use this skill?
Automate greyhound race analysis with OpenClaw. Fetch race cards, analyze trap bias and form, and predict winners using advanced AI models.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/iglemanyte-ctrl/greyhoundWhat This Skill Does
The Greyhound Predictor is a sophisticated OpenClaw agent skill designed to streamline the process of greyhound race analysis. By automating data retrieval from primary racing sources like GBGB and SportingLife, the agent parses race cards, interprets complex performance data, and applies analytical models to forecast outcomes. It evaluates critical variables such as historical win rates, trap bias, recent form (e.g., 12131), and trainer performance. The skill leverages both heuristic-based rules and, where available, Python-powered machine learning logic to provide users with predictive insights for upcoming races, allowing enthusiasts to make data-informed decisions without manually scrubbing dozens of websites.
Installation
To integrate the Greyhound Predictor into your OpenClaw environment, ensure you have sufficient permissions for data browsing and code execution. Run the following command in your terminal:
clawhub install openclaw/skills/skills/iglemanyte-ctrl/greyhound
Use Cases
This skill is ideal for greyhound racing enthusiasts, hobbyist punters, and sports data analysts. It is perfect for rapidly filtering through dozens of races across multiple tracks to identify high-value opportunities. Whether you are looking for a quick forecast on an upcoming sprint at Monmore or need a deep dive into the form of runners at Towcester, the Greyhound Predictor acts as a force multiplier for your analytical workflow.
Example Prompts
- "Predict the winner for the next race at Monmore, specifically looking for dogs with strong trap 1 or 2 bias."
- "Can you give me the top two predictions for today's Towcester greyhound races based on recent win rates?"
- "Analyze the upcoming 5th race at Sheffield and tell me which greyhound has the best recent form score."
Tips & Limitations
To get the best results, always be specific about the track and race number if known. The accuracy of the predictor is heavily dependent on the availability of updated data from official sources; occasionally, if a track website is undergoing maintenance or data is missing, the model may return an error. Always verify the output against live race card feeds. Remember that predictive modeling is based on statistical probability and cannot guarantee real-world results. Use the internal code_execution feature for more complex probability scoring if you have it enabled in your configuration.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-iglemanyte-ctrl-greyhound": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api, code-execution