sql - Can I make this MySQL staement with complex COUNTs more efficient? -

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I have a table of all major league baseball games that is structured like this: 

  ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** Tickets sold for different games:  
  ** ticket ** id (int) game_id (int) price (float) time_sold (datetime)  
 
 D like running a MySQL query that every ticket is The match matches the home and away team records for the time being  the time the ticket was sold  I am using it: 
 
  SELECT ticket.id, game .home_team_id AS home, game.away_team_id as Away, (SELECT COUNT (game.id) from game WHERE game.date & lt; DATE_SUB (ticket.time_sold, INTERVAL 1 day) and (game.home_score> game.away_score and game. Home_team = home or game.away_score> game.home_score and game.away_team = away) home_team_wins game.id = ticket.game_id  
 
 on the JOIN game by ticket I know that the query is extremely slow, I have a price tag in all the columns and ticket tables in the game table. Also has indexed all, but still slow pain. 
 
 Can someone suggest how can I move it?

I think that the selection of the scalar in the selector section can be a subquaire criminal, in the FROM section I try to move

Try it and see if it is helpful (I can have syntax errors, I have no environment to test today): 

  SELECT ticket Id, game.home_team_id as home, game.away_team_id as far, game_count FROM (SELECT COUNT (game.id) game_count game from WHOLE game.date & lt; DATE_SUB (ticket.time_sold, INTERVAL 1 day and (game.home_score> game Game.id = ticket.game_id at home_team_wins, ticket JOIN game as .ay_score and game.home_team = home or game.away_score> gt; game.home_score and game.away_team =)))

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