{
    "table_name": "serve_kaggle",
    "table_type_tags": [
        {
            "tag": "event",
            "confidence": 0.75
        },
        {
            "tag": "dimension",
            "confidence": 0.2
        }
    ],
    "primary_type": "event",
    "insufficient_evidence": false,
    "entity": {
        "columns": [
            "Name"
        ],
        "unique_per_row": false
    },
    "time_axis": {
        "columns": [
            "Date"
        ],
        "kind": "event_time"
    },
    "reasoning": "Name repeats heavily (462 players, RPUV 513.39, Uniqueness 0.002), and Date (1,424 distinct values, text format) orders each player's matches. Each row records one match played by a player. The serve measures (Dr, A%, Df%, 1stIn, 1st%, 2nd%, Bpsvd, Time) are per-match values, not cumulative or sampled on a clock. Replaying a player's rows gives no running state, so these are bare occurrences to count and analyze → event. Every row carries its own Tournament, Rd and opponent (`against`), which gives a dimension-like reading at the match grain, but the repeating player plus the date axis favors event."
}