##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199

Table Schemas:

Database: european_football_2
Total Tables: 7
Total Columns: 199

Table Schemas:

Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name

Table: League (3 columns)
-------------------------
• id (integer): the unique id for leagues
• country_id (integer): the unique id for countries
• name (text): league name

Table: Match (115 columns)
--------------------------
• id (integer): the unique id for matches
• country_id (integer): country id
• league_id (integer): league id
• season (text): the season of the match
• stage (integer): the stage of the match
• date (text): the date of the match
  Values: e.g. 2008-08-17 00:00:00
• match_api_id (integer): the id of the match api
• home_team_api_id (integer): the id of the home team api
• away_team_api_id (integer): the id of the away team api
• home_team_goal (integer): the goal of the home team
• away_team_goal (integer): the goal of the away team
• home_player_X1
• home_player_X2
• home_player_X3
• home_player_X4
• home_player_X5
• home_player_X6
• home_player_X7
• home_player_X8
• home_player_X9
• home_player_X10
• home_player_X11
• away_player_X1
• away_player_X2
• away_player_X3
• away_player_X4
• away_player_X5
• away_player_X6
• away_player_X7
• away_player_X8
• away_player_X9
• away_player_X10
• away_player_X11
• home_player_Y1
• home_player_Y2
• home_player_Y3
• home_player_Y4
• home_player_Y5
• home_player_Y6
• home_player_Y7
• home_player_Y8
• home_player_Y9
• home_player_Y10
• home_player_Y11
• away_player_Y1
• away_player_Y2
• away_player_Y3
• away_player_Y4
• away_player_Y5
• away_player_Y6
• away_player_Y7
• away_player_Y8
• away_player_Y9
• away_player_Y10
• away_player_Y11
• home_player_1
• home_player_2
• home_player_3
• home_player_4
• home_player_5
• home_player_6
• home_player_7
• home_player_8
• home_player_9
• home_player_10
• home_player_11
• away_player_1
• away_player_2
• away_player_3
• away_player_4
• away_player_5
• away_player_6
• away_player_7
• away_player_8
• away_player_9
• away_player_10
• away_player_11
• goal (text): the goal of the match
• shoton (text): the shot on goal of the match
  Values: commonsense reasoning: 
A shot on goal is a shot that enters the goal or would have entered the goal...
• shotoff (text): the shot off goal of the match, which is the opposite of shot on
• foulcommit (text): the fouls occurred in the match
• card (text): the cards given in the match
• cross (text): Balls sent into the opposition team's area from a wide position in the match
• corner (text): Ball goes out of play for a corner kick in the match
• possession (text): The duration from a player taking over the ball in the match
• B365H
• B365D
• B365A
• BWH
• BWD
• BWA
• IWH
• IWD
• IWA
• LBH
• LBD
• LBA
• PSH
• PSD
• PSA
• WHH
• WHD
• WHA
• SJH
• SJD
• SJA
• VCH
• VCD
• VCA
• GBH
• GBD
• GBA
• BSH
• BSD
• BSA

Table: Player (7 columns)
-------------------------
• id (integer): the unique id for players
• player_api_id (integer): the id of the player api
• player_name (text): player name
• player_fifa_api_id (integer): the id of the player fifa api
• birthday (text): the player's birthday
  Values: e.g. 1992-02-29 00:00:00 
commonsense reasoning: 
Player A is older than player B means that A's bir...
• height (integer): the player's height
• weight (integer): the player's weight

Table: Player_Attributes (42 columns)
-------------------------------------
• id (integer): the unique id for players
• player_fifa_api_id (integer): the id of the player fifa api
• player_api_id (integer): the id of the player api
• date (text): date
  Values: e.g. 2016-02-18 00:00:00
• overall_rating (integer): the overall rating of the player
  Values: commonsense reasoning: 
The rating is between 0-100 which is calculated by FIFA.
 Higher overall rat...
• potential (integer): potential of the player
  Values: commonsense reasoning: 
The potential score is between 0-100 which is calculated by FIFA.
 Higher po...
• preferred_foot (text): the player's preferred foot when attacking
  Values: right/ left
• attacking_work_rate (text): the player's attacking work rate
  Values: commonsense reasoning: 
 high: implies that the player is going to be in all of your attack moves
...
• defensive_work_rate (text): the player's defensive work rate
  Values: commonsense reasoning: 
 high: remain in his position and defense while the team attacks 
 medium:...
• crossing (integer): the player's crossing score
  Values: commonsense reasoning: 
Cross is a long pass into the opponent's goal towards the header of sixth-ya...
• finishing (integer): the player's finishing rate
  Values: 0-100 which is calculated by FIFA
• heading_accuracy (integer): the player's heading accuracy
  Values: 0-100 which is calculated by FIFA
• short_passing (integer): the player's short passing score
  Values: 0-100 which is calculated by FIFA
• volleys (integer): the player's volley score
  Values: 0-100 which is calculated by FIFA
• dribbling (integer): the player's dribbling score
  Values: 0-100 which is calculated by FIFA
• curve (integer): the player's curve score
  Values: 0-100 which is calculated by FIFA
• free_kick_accuracy (integer): the player's free kick accuracy
  Values: 0-100 which is calculated by FIFA
• long_passing (integer): the player's long passing score
  Values: 0-100 which is calculated by FIFA
• ball_control (integer): the player's ball control score
  Values: 0-100 which is calculated by FIFA
• acceleration (integer): the player's acceleration score
  Values: 0-100 which is calculated by FIFA
• sprint_speed (integer): the player's sprint speed
  Values: 0-100 which is calculated by FIFA
• agility (integer): the player's agility
  Values: 0-100 which is calculated by FIFA
• reactions (integer): the player's reactions score
  Values: 0-100 which is calculated by FIFA
• balance (integer): the player's balance score
  Values: 0-100 which is calculated by FIFA
• shot_power (integer): the player's shot power
  Values: 0-100 which is calculated by FIFA
• jumping (integer): the player's jumping score
  Values: 0-100 which is calculated by FIFA
• stamina (integer): the player's stamina score
  Values: 0-100 which is calculated by FIFA
• strength (integer): the player's strength score
  Values: 0-100 which is calculated by FIFA
• long_shots (integer): the player's long shots score
  Values: 0-100 which is calculated by FIFA
• aggression (integer): the player's aggression score
  Values: 0-100 which is calculated by FIFA
• interceptions (integer): the player's interceptions score
  Values: 0-100 which is calculated by FIFA
• positioning (integer): the player's 
positioning score
  Values: 0-100 which is calculated by FIFA
• vision (integer): the player's vision score
  Values: 0-100 which is calculated by FIFA
• penalties (integer): the player's penalties score
  Values: 0-100 which is calculated by FIFA
• marking (integer): the player's markingscore
  Values: 0-100 which is calculated by FIFA
• standing_tackle (integer): the player's standing tackle score
  Values: 0-100 which is calculated by FIFA
• sliding_tackle (integer): the player's sliding tackle score
  Values: 0-100 which is calculated by FIFA
• gk_diving (integer): the player's goalkeep diving score
  Values: 0-100 which is calculated by FIFA
• gk_handling (integer): the player's goalkeep diving score
  Values: 0-100 which is calculated by FIFA
• gk_kicking (integer): the player's goalkeep kicking score
  Values: 0-100 which is calculated by FIFA
• gk_positioning (integer): the player's goalkeep positioning score
  Values: 0-100 which is calculated by FIFA
• gk_reflexes (integer): the player's goalkeep reflexes score
  Values: 0-100 which is calculated by FIFA

Table: Team (5 columns)
-----------------------
• id (integer): the unique id for teams
• team_api_id (integer): the id of the team api
• team_fifa_api_id (integer): the id of the team fifa api
• team_long_name (text): the team's long name
• team_short_name (text): the team's short name

Table: Team_Attributes (25 columns)
-----------------------------------
• id (integer): the unique id for teams
• team_fifa_api_id (integer): the id of the team fifa api
• team_api_id (integer): the id of the team api
• date (text): Date
  Values: e.g. 2010-02-22 00:00:00
• buildUpPlaySpeed (integer): the speed in which attacks are put together
  Values: the score which is between 1-00 to measure the team's attack speed
• buildUpPlaySpeedClass (text): the speed class
  Values: commonsense reasoning: 
 Slow: 1-33
 Balanced: 34-66
 Fast: 66-100
• buildUpPlayDribbling (integer): the tendency/ frequency of dribbling
• buildUpPlayDribblingClass (text): the dribbling class
  Values: commonsense reasoning: 
 Little: 1-33
 Normal: 34-66
 Lots: 66-100
• buildUpPlayPassing (integer): affects passing distance and support from teammates
• buildUpPlayPassingClass (text): the passing class
  Values: commonsense reasoning: 
 Short: 1-33
 Mixed: 34-66
 Long: 66-100
• buildUpPlayPositioningClass (text): A team's freedom of movement in the 1st two thirds of the pitch
  Values: Organised / Free Form
• chanceCreationPassing (integer): Amount of risk in pass decision and run support
• chanceCreationPassingClass (text): the chance creation passing class
  Values: commonsense reasoning: 
 Safe: 1-33
 Normal: 34-66
 Risky: 66-100
• chanceCreationCrossing (integer): The tendency / frequency of crosses into the box
• chanceCreationCrossingClass (text): the chance creation crossing class
  Values: commonsense reasoning: 
 Little: 1-33
 Normal: 34-66
 Lots: 66-100
• chanceCreationShooting (integer): The tendency / frequency of shots taken
• chanceCreationShootingClass (text): the chance creation shooting class
  Values: commonsense reasoning: 
 Little: 1-33
 Normal: 34-66
 Lots: 66-100
• chanceCreationPositioningClass (text): A teams freedom of movement in the final third of the pitch
  Values: Organised / Free Form
• defencePressure (integer): Affects how high up the pitch the team will start pressuring
• defencePressureClass (text): the defence pressure class
  Values: commonsense reasoning: 
 Deep: 1-33
 Medium: 34-66
 High: 66-100
• defenceAggression (integer): Affect the teams approach to tackling the ball possessor
• defenceAggressionClass (text): the defence aggression class
  Values: commonsense reasoning: 
 Contain: 1-33
 Press: 34-66
 Double: 66-100
• defenceTeamWidth (integer): Affects how much the team will shift to the ball side
• defenceTeamWidthClass (text): the defence team width class
  Values: commonsense reasoning: 
 Narrow: 1-33
 Normal: 34-66
 Wide: 66-100
• defenceDefenderLineClass (text): Affects the shape and strategy of the defence
  Values: Cover/ Offside Trap

##Evidence:
players who prefer left foot refers to preferred_foot = 'left'; percentage of players who prefer left foot = DIVIDE(MULTIPLY((SUM(preferred_foot = 'left'), 100)), COUNT(player_fifa_api_id)); born between 1987 and 1992 refers to YEAR(birthday) BETWEEN '1987' AND '1992';

##Role Access Policy (Column-Level):
Role: Scout
Accessible Columns: Player: id, player_api_id, player_name, birthday, height, weight; Player_Attributes: player_api_id, date, overall_rating, potential, preferred_foot, attacking_work_rate, defensive_work_rate, crossing, finishing, heading_accuracy, short_passing, volleys, dribbling, curve, free_kick_accuracy, long_passing, ball_control, acceleration, sprint_speed, agility, reactions, balance, shot_power, jumping, stamina, strength, long_shots, aggression, interceptions, positioning, vision, penalties, marking, standing_tackle, sliding_tackle, gk_diving, gk_handling, gk_kicking, gk_positioning, gk_reflexes; Team: id, team_api_id, team_long_name, team_short_name; Country: id, name; League: id, name

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Calculate the percentage of players who prefer left foot, who were born between 1987 and 1992.
Evidence: players who prefer left foot refers to preferred_foot = 'left'; percentage of players who prefer left foot = DIVIDE(MULTIPLY((SUM(preferred_foot = 'left'), 100)), COUNT(player_fifa_api_id)); born between 1987 and 1992 refers to YEAR(birthday) BETWEEN '1987' AND '1992';
Answer: SELECT 
    CAST(COUNT(DISTINCT CASE WHEN t2.preferred_foot = 'left' THEN t1.player_api_id ELSE NULL END) AS REAL) * 100 
    / COUNT(DISTINCT t1.player_api_id) AS percent
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
WHERE SUBSTR(t1.birthday, 1, 4) BETWEEN '1987' AND '1992'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT 
    CAST(COUNT(DISTINCT CASE WHEN t2.preferred_foot = 'left' THEN t1.player_api_id ELSE NULL END) AS REAL) * 100 
    / COUNT(DISTINCT t1.player_api_id) AS percent
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
WHERE SUBSTR(t1.birthday, 1, 4) BETWEEN '1987' AND '1992'