bigballsdata-com · Schema

NbaPlayerAdvancedSeason

One player's advanced aggregates for one season and season type. Percentage-style fields are ratios (0.663), not percentages, except the turnover rates and `ast_ratio`, which the vendor publishes on a 0-100 scale. `e_*` variants are the vendor's estimated counterparts to the column of the same name.

CompanySportsDataAnalyticsBetting

Properties

Name Type Description
player_id string
season integer
season_type string
games_played integernull
wins integernull
losses integernull
w_pct numbernull
min numbernull Average minutes as a decimal. Note this differs from `min` on NbaPlayerSeasonAverage, which is an "MM:SS" string; the two relations store it differently and neither is reshaped here.
poss numbernull Possessions.
ts_pct numbernull True shooting percentage.
efg_pct numbernull Effective field goal percentage.
usg_pct numbernull Usage rate.
e_usg_pct numbernull
ast_pct numbernull
ast_ratio numbernull
ast_to numbernull Assist-to-turnover ratio.
oreb_pct numbernull
dreb_pct numbernull
reb_pct numbernull
off_rating numbernull Offensive rating (points produced per 100 possessions).
def_rating numbernull Defensive rating (points allowed per 100 possessions).
net_rating numbernull Offensive rating minus defensive rating.
e_off_rating numbernull
e_def_rating numbernull
e_net_rating numbernull
pace numbernull Possessions per 48 minutes.
e_pace numbernull
pace_per40 numbernull
tm_tov_pct numbernull
e_tov_pct numbernull
pie numbernull Player impact estimate.
ranks objectnull The vendor's league rank for each column, keyed `_rank` (e.g. `pie_rank`, `off_rating_rank`). Rank 1 is best; for `def_rating` and `l_rank` that means lowest.
View JSON Schema on GitHub

JSON Schema

bigballsdata-com-nba-player-advanced-season-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/bigballsdata-com/json-schema/bigballsdata-com-nba-player-advanced-season-schema.json",
  "title": "NbaPlayerAdvancedSeason",
  "description": "One player's advanced aggregates for one season and season type.\nPercentage-style fields are ratios (0.663), not percentages, except the\nturnover rates and `ast_ratio`, which the vendor publishes on a 0-100\nscale. `e_*` variants are the vendor's estimated counterparts to the\ncolumn of the same name.\n",
  "x-generated": "2026-10-30",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/_original/bigballsdata-com-api-openapi.json#/components/schemas/NbaPlayerAdvancedSeason",
  "type": "object",
  "properties": {
    "player_id": {
      "type": "string",
      "format": "uuid"
    },
    "season": {
      "type": "integer"
    },
    "season_type": {
      "type": "string",
      "enum": [
        "regular",
        "playoffs"
      ]
    },
    "games_played": {
      "type": [
        "integer",
        "null"
      ]
    },
    "wins": {
      "type": [
        "integer",
        "null"
      ]
    },
    "losses": {
      "type": [
        "integer",
        "null"
      ]
    },
    "w_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "min": {
      "type": [
        "number",
        "null"
      ],
      "description": "Average minutes as a decimal. Note this differs from `min` on NbaPlayerSeasonAverage, which is an \"MM:SS\" string; the two relations store it differently and neither is reshaped here."
    },
    "poss": {
      "type": [
        "number",
        "null"
      ],
      "description": "Possessions."
    },
    "ts_pct": {
      "type": [
        "number",
        "null"
      ],
      "description": "True shooting percentage."
    },
    "efg_pct": {
      "type": [
        "number",
        "null"
      ],
      "description": "Effective field goal percentage."
    },
    "usg_pct": {
      "type": [
        "number",
        "null"
      ],
      "description": "Usage rate."
    },
    "e_usg_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "ast_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "ast_ratio": {
      "type": [
        "number",
        "null"
      ]
    },
    "ast_to": {
      "type": [
        "number",
        "null"
      ],
      "description": "Assist-to-turnover ratio."
    },
    "oreb_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "dreb_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "reb_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "off_rating": {
      "type": [
        "number",
        "null"
      ],
      "description": "Offensive rating (points produced per 100 possessions)."
    },
    "def_rating": {
      "type": [
        "number",
        "null"
      ],
      "description": "Defensive rating (points allowed per 100 possessions)."
    },
    "net_rating": {
      "type": [
        "number",
        "null"
      ],
      "description": "Offensive rating minus defensive rating."
    },
    "e_off_rating": {
      "type": [
        "number",
        "null"
      ]
    },
    "e_def_rating": {
      "type": [
        "number",
        "null"
      ]
    },
    "e_net_rating": {
      "type": [
        "number",
        "null"
      ]
    },
    "pace": {
      "type": [
        "number",
        "null"
      ],
      "description": "Possessions per 48 minutes."
    },
    "e_pace": {
      "type": [
        "number",
        "null"
      ]
    },
    "pace_per40": {
      "type": [
        "number",
        "null"
      ]
    },
    "tm_tov_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "e_tov_pct": {
      "type": [
        "number",
        "null"
      ]
    },
    "pie": {
      "type": [
        "number",
        "null"
      ],
      "description": "Player impact estimate."
    },
    "ranks": {
      "type": [
        "object",
        "null"
      ],
      "additionalProperties": {
        "type": "integer"
      },
      "description": "The vendor's league rank for each column, keyed `<column>_rank` (e.g. `pie_rank`, `off_rating_rank`). Rank 1 is best; for `def_rating` and `l_rank` that means lowest.\n"
    }
  }
}

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