{
    "table_name": "raw_kaggle",
    "table_type_tags": [
        {
            "tag": "event",
            "confidence": 0.78
        },
        {
            "tag": "dimension",
            "confidence": 0.2
        }
    ],
    "primary_type": "event",
    "insufficient_evidence": false,
    "entity": {
        "columns": [
            "Name"
        ],
        "unique_per_row": false
    },
    "time_axis": {
        "columns": [
            "Date",
            "Rd"
        ],
        "kind": "event_time"
    },
    "reasoning": "Name is the repeating actor (462 unique players, RPUV 513.43, Uniqueness 0.002). Each row is one match the player played, ordered by the tournament Date (2,698 unique values) and within a tournament by Rd. Rows are occurrences carrying per-match absolute stats (Aces, DFs, SP, Time), and against is nearly unique (Uniqueness 0.977). Replaying a player's rows does not accumulate into a meaningful state, and the rows are not clock-driven snapshots, so this is not path or state. Rk and vRk are rankings recorded at match time, so they are attributes of the match, not snapshots. The rows are bare occurrences to count and analyze, so event. Dimension is a weak alternative because a Name+Tournament+Date+Rd composite is likely unique per row."
}