```json { "table_name": "2013_SUPER BOWL_plays", "primary_key": "Season,Week,Date,AwayTeam,HomeTeam,DriveNumber,PlayNumberInDrive", "candidates": [ { "rank": 0, "partition_key": "TeamWithPossession", "partition_key_label": "E", "partition_key_reasoning": "TeamWithPossession is the entity whose play-by-play timeline we trace. RPUV=76.50 (2 teams, 153 rows) provides excellent partitioning: Seattle Seahawks (90 plays) and Denver Broncos (63 plays). This groups all plays by the team executing them, enabling team-centric analysis of offensive sequences.", "clustering_key": "PlayNumberInDrive", "clustering_key_label": "S", "clustering_key_reasoning": "PlayNumberInDrive is the sequence axis ordering plays within each drive. Monotonicity=0.868 confirms strong sequential ordering. Values range 1-17, organizing plays chronologically within each possession. Combined with DriveNumber context, this creates the temporal ordering of events.", "world_line": "TeamWithPossession", "session_column": "DriveNumber", "confidence": "HIGH", "notes": "This is a single-game event log (2013 Super Bowl). All context columns (Season, Week, Date, AwayTeam, HomeTeam) have RPUV=153 (constant values). The natural entity is TeamWithPossession (which team is executing the play). DriveNumber acts as a session boundary within each team's timeline. PlayNumberInDrive sequences plays within each drive. This partitioning enables efficient queries like 'show all Seattle plays in order' or 'analyze Denver's drive sequences'." } ] } ```