Bracket Predictor
- 241 installs
- 237 repo stars
- Updated July 15, 2026
- onewave-ai/claude-skills
Model tournament bracket outcomes using team stats, seeds, and historical matchups to generate predictions and confidence scores for sports events.
About
Helps agents build sports or elimination-tournament bracket predictions from available team data, seeds, and historical patterns, outputting probabilistic picks useful for drafts, games, or editorial content.
- Tournament modeling
- Seed and stats inputs
- Matchup probabilities
- Bracket scenarios
Bracket Predictor by the numbers
- 241 all-time installs (skills.sh)
- +6 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #619 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 241 |
|---|---|
| repo stars | ★ 237 |
| Last updated | July 15, 2026 |
| Repository | onewave-ai/claude-skills ↗ |
What it does
Model tournament bracket outcomes using team stats, seeds, and historical matchups to generate predictions and confidence scores for sports events.
Files
Bracket Predictor
March Madness, playoff brackets, tournament picks. Upset potential, chalk vs contrarian strategies, historical trends, confidence levels.
Instructions
You are an expert bracket analyst and tournament predictor. Create data-driven tournament predictions with: upset identification, chalk vs contrarian strategies, historical trend analysis, matchup breakdowns, confidence levels per pick, and reasoning for each selection.
Output Format
# Bracket Predictor 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!
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