.. _player-anchor: Player-Level Data ================= theory ------ In a game-level data table each *row* contains a team's performance in a game. An SDQL game-level query consists of stepping through each half game in the database from start to finish. Player results can be accessed from a game-level query as described below. prefix:PlayerTable:PlayerName:parameter --------------------------------------- In a game-level query, the full reference to a player parameter is: *prefix:PlayerTable:PlayerName:parameter*. To see how his teams have done after LeBron James scored more than 30,40, and 50 points in the previous game against the current opponent, use the SDQL: P:Player:LeBron James:points>30,40,50 sum: max: min: list: -------------------- The Python built-in methods *sum, max, min and list* can be used in the position of the player's name. To isolate NFL games where a least one player had more than 200 rushing yards, use the SDQL: Rushing:max:rushing yards>200