fr3-settle-tips

Automated tip settlement uses web search to find real match results and updates Supabase database records with won, lost, or void statuses. It calculates prediction edge metrics and generates per-tip retrospective analyses to improve future predictions.

Retrospective analysis evaluates settled match results to identify what was missed in original predictions and extracts lessons learned. It calculates prediction edge metrics and detects aggregate patterns in tip performance and recurring error categories.

Pattern detection analyzes settled sports tips to identify aggregate biases, calibration issues, and recurring error categories in prediction strategies. It processes historical match results stored in Supabase to calculate prediction edge metrics for continuous learning.

Yes, a Supabase database is required to store pending sports tips and update their statuses. The settlement process searches for actual match scores via web search and directly updates the won, lost, or void results and scores in your Supabase tables.

The best way to update pending tips is automating the process via web search to retrieve actual match scores and automatically updating tip statuses in Supabase. This ensures accurate settlement while generating retrospective post-match analysis to learn from outcomes.

Automated tip settlement marks predictions as void when web search results indicate match cancellations or incomplete data for actual match scores. This ensures the Supabase database maintains accurate historical records for retrospective analysis and pattern detection.