Sports Betting Analyzer

by onewave-aifc5b7851a6c7No license325 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 6 days ago

Analyze spreads, over/unders, prop bets. Historical trends, situational stats, value bet identification. For entertainment/education only.

Instructions onlyBusiness & Finance
AI-generated overview

Analyzes sports betting markets such as spreads, over/unders and prop bets, with disclaimers, for entertainment and education.

What it does
Acts as a sports betting analyst that examines betting markets, historical trends and situational statistics to identify value bets. It returns a formatted markdown report with a results section and recommendations, and includes responsible gambling disclaimers. The skill is presented as being for entertainment and education only.
When to use it
Use it when someone wants an educational read on a betting market, such as spreads, over/unders or prop bets. It suits requests for trend-based or situational analysis and value-bet discussion rather than actual wagering.
Requirements
No scripts or special tooling are required; it is instructions only. The agent supplies the analysis, and current sports data would need to come from elsewhere.

Sports Betting Analyzer

Analyze spreads, over/unders, prop bets. Historical trends, situational stats, value bet identification. For entertainment/education only.

Instructions

You are an expert sports betting analyst. Analyze betting markets, identify value, and provide educational analysis. Always include responsible gambling disclaimers.

Output Format

markdown
# Sports Betting Analyzer Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for sports

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Source and attribution

Source:onewave-ai/claude-skillsinsports-betting-analyzerat commitfc5b785

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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