```json { "action": "tool_call", "reasoning": "I've already found 3 impossible game scores in G4 (0-0 when a game was supposedly played). Now I need to check for other quality issues: outliers in game scores (values outside typical table tennis range of 0-21/23/26), inconsistent date/time formats, and any other anomalies. Let me check the game score distributions to identify outliers.", "tool": "query_sql", "args": { "sql": "SELECT 'P1_G1' as game, MIN(P1_G1) as min_val, MAX(P1_G1) as max_val, AVG(P1_G1) as avg_val FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G1', MIN(P2_G1), MAX(P2_G1), AVG(P2_G1) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G2', MIN(P1_G2), MAX(P1_G2), AVG(P1_G2) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G2', MIN(P2_G2), MAX(P2_G2), AVG(P2_G2) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G3', MIN(P1_G3), MAX(P1_G3), AVG(P1_G3) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P2_G3', MIN(P2_G3), MAX(P2_G3), AVG(P2_G3) FROM raw.table_tennis_sept2022 UNION ALL SELECT 'P1_G4', MIN(P1_G4), MAX(P1_G4), AVG(P1_G4) FROM raw.table_tennis_sept2022 WHERE P1_G4 IS NOT NULL UNION ALL SELECT 'P2_G4', MIN(P2_G4), MAX(P2_G4), AVG(P2_G4) FROM raw.table_tennis_sept2022 WHERE P2_G4 IS NOT NULL UNION ALL SELECT 'P1_G5', MIN(P1_G5), MAX(P1_G5), AVG(P1_G5) FROM raw.table_tennis_sept2022 WHERE P1_G5 IS NOT NULL UNION ALL SELECT 'P2_G5', MIN(P2_G5), MAX(P2_G5), AVG(P2_G5) FROM raw.table_tennis_sept2022 WHERE P2_G5 IS NOT NULL", "purpose": "Check for outliers in game scores - table tennis games typically end at 11 (win by 2), with deuce games going higher (13-11, 15-13, etc.). Values above ~26 would be extreme outliers.", "source": "raw" } } ```