I need to explore the dataset systematically to find surprising patterns. Let me start by examining the gold tables for unexpected relationships, then dig into raw data for counterintuitive findings. ```json { "action": "tool_call", "reasoning": "First, I'll check if there are any surprising patterns in how different stances perform against each other. Orthodox vs Southpaw matchups often have interesting dynamics in boxing.", "tool": "query_sql", "args": { "sql": "SELECT stance_A, stance_B, row_count, avg_won_A, avg_won_B, avg_lost_A, avg_lost_B, ROUND(avg_won_A::DECIMAL / NULLIF(avg_won_A + avg_lost_A, 0), 3) as win_rate_A, ROUND(avg_won_B::DECIMAL / NULLIF(avg_won_B + avg_lost_B, 0), 3) as win_rate_B FROM boxing_matches_by_stance_A_stance_B ORDER BY row_count DESC", "purpose": "Examine win rates and experience levels across different stance matchups to find surprising patterns", "source": "gold" } } ```