##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:
The 2009/2010 season is represented as '2009/2010' in the data; to determine if home teams score more on average, compare the average goals scored by home teams across all matches to the average goals scored by away teams across all matches in that season.

##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: List the name of leagues in which the average goals by the home team is higher than the away team in the 2009/2010 season.
Evidence: The 2009/2010 season is represented as '2009/2010' in the data; to determine if home teams score more on average, compare the average goals scored by home teams across all matches to the average goals scored by away teams across all matches in that season.
Answer: Sorry, I cannot answer.
Permission: denied (Missing column permissions: match: away_team_goal, home_team_goal, id, league_id, season)
Gold SQL: SELECT t1.name FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2009/2010' GROUP BY t1.name HAVING (CAST(SUM(t2.home_team_goal) AS REAL) / COUNT(DISTINCT t2.id)) - (CAST(SUM(t2.away_team_goal) AS REAL) / COUNT(DISTINCT t2.id)) > 0