You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 soccer_2016
【Schema】
# Table: Ball_by_Ball
[
(Match_Id:INTEGER, Primary Key, Examples: [335987, 335988, 335989]),
(Over_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Ball_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Innings_No:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Team_Batting:INTEGER, Examples: [1, 2, 3]),
(Team_Bowling:INTEGER, Examples: [2, 1, 4]),
(Striker_Batting_Position:INTEGER, Examples: [1, 2, 3]),
(Striker:INTEGER, Examples: [1, 6, 2]),
(Non_Striker:INTEGER, Examples: [2, 7, 1]),
(Bowler:INTEGER, Examples: [14, 106, 15])
]
# Table: Umpire
[
(Umpire_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Umpire_Name:TEXT, Examples: [Asad Rauf, MR Benson, Aleem Dar]),
(Umpire_Country:INTEGER, Examples: [6, 10, 4])
]
# Table: Venue
[
(Venue_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Venue_Name:TEXT, Examples: [M Chinnaswamy Stadium]),
(City_Id:INTEGER, Examples: [1, 2, 3])
]
# Table: Team
[
(Team_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Team_Name:TEXT, Examples: [Kolkata Knight Riders])
]
# Table: Out_Type
[
(Out_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Out_Name:TEXT, Examples: [caught, bowled, run out])
]
# Table: Bowling_Style
[
(Bowling_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Bowling_skill:TEXT, Examples: [Right-arm medium])
]
# Table: Outcome
[
(Outcome_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Outcome_Type:TEXT, Examples: [Result, No Result, Superover])
]
# Table: Extra_Runs
[
(Match_Id:INTEGER, Primary Key, Examples: [335987, 335988, 335989]),
(Over_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Ball_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Extra_Type_Id:INTEGER, Examples: [1, 2, 3]),
(Extra_Runs:INTEGER, Examples: [1, 4, 5]),
(Innings_No:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: City
[
(City_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(City_Name:TEXT, Examples: [Bangalore, Chandigarh, Delhi]),
(Country_id:INTEGER, Examples: [1, 2, 3])
]
# Table: Season
[
(Season_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Man_of_the_Series:INTEGER, Examples: [32, 53, 133]),
(Orange_Cap:INTEGER, Examples: [100, 18, 133]),
(Purple_Cap:INTEGER, Examples: [102, 61, 131]),
(Season_Year:INTEGER, Examples: [2008, 2009, 2010])
]
# Table: Extra_Type
[
(Extra_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Extra_Name:TEXT, Examples: [legbyes, wides, byes])
]
# Table: Rolee
[
(Role_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Role_Desc:TEXT, Examples: [Captain, Keeper, Player])
]
# Table: Match
[
(Match_Id:INTEGER, Primary Key, Examples: [335987, 335988, 335989]),
(Team_1:INTEGER, Examples: [2, 4, 6]),
(Team_2:INTEGER, Examples: [1, 3, 5]),
(Match_Date:DATE, Examples: [2008-04-18]),
(Season_Id:INTEGER, Examples: [1, 2, 3]),
(Venue_Id:INTEGER, Examples: [1, 2, 3]),
(Toss_Winner:INTEGER, Examples: [2, 3, 5]),
(Toss_Decide:INTEGER, Examples: [1, 2]),
(Win_Type:INTEGER, Examples: [1, 2, 4]),
(Win_Margin:INTEGER, Examples: [140, 33, 9]),
(Outcome_type:INTEGER, Examples: [1, 3, 2]),
(Match_Winner:INTEGER, Examples: [1, 3, 6]),
(Man_of_the_Match:INTEGER, Examples: [2, 19, 90])
]
# Table: Player_Match
[
(Match_Id:INTEGER, Primary Key, Examples: [335987, 335988, 335989]),
(Player_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Role_Id:INTEGER, Primary Key, Examples: [1, 3, 2]),
(Team_Id:INTEGER, Examples: [1, 2, 3])
]
# Table: Toss_Decision
[
(Toss_Id:INTEGER, Primary Key, Examples: [1, 2]),
(Toss_Name:TEXT, Examples: [field, bat])
]
# Table: Country
[
(Country_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Country_Name:TEXT, Examples: [India, South Africa, U.A.E])
]
# Table: Batsman_Scored
[
(Match_Id:INTEGER, Primary Key, Examples: [335987, 335988, 335989]),
(Over_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Ball_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Runs_Scored:INTEGER, Examples: [0, 1, 4]),
(Innings_No:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Player
[
(Player_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Player_Name:TEXT, Examples: [SC Ganguly, BB McCullum, RT Ponting]),
(DOB:DATE, Examples: [1972-07-08]),
(Batting_hand:INTEGER, Examples: [1, 2]),
(Bowling_skill:INTEGER, Examples: [1, 2, 3]),
(Country_Name:INTEGER, Examples: [1, 4, 5])
]
# Table: Win_By
[
(Win_Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Win_Type:TEXT, Examples: [runs, wickets, NO Result])
]
# Table: Wicket_Taken
[
(Match_Id:INTEGER, Primary Key, Examples: [335987, 335988, 335989]),
(Over_Id:INTEGER, Primary Key, Examples: [2, 3, 5]),
(Ball_Id:INTEGER, Primary Key, Examples: [1, 2, 5]),
(Player_Out:INTEGER, Examples: [6, 8, 9]),
(Kind_Out:INTEGER, Examples: [2, 1, 3]),
(Fielders:INTEGER, Examples: [83, 9, 3]),
(Innings_No:INTEGER, Primary Key, Examples: [2, 1, 3])
]
# Table: Batting_Style
[
(Batting_Id:INTEGER, Primary Key, Examples: [1, 2]),
(Batting_hand:TEXT, Examples: [Left-hand bat, Right-hand bat])
]
【Foreign keys】
Ball_by_Ball.Match_Id=Match.Match_Id
Umpire.Umpire_Country=Country.Country_Id
Venue.City_Id=City.City_Id
Extra_Runs.Extra_Type_Id=Extra_Type.Extra_Id
Match.Team_1=Team.Team_Id
Match.Team_2=Team.Team_Id
Match.Season_Id=Season.Season_Id
Match.Venue_Id=Venue.Venue_Id
Match.Toss_Winner=Team.Team_Id
Match.Toss_Decide=Toss_Decision.Toss_Id
Match.Win_Type=Win_By.Win_Id
Match.Outcome_type=Out_Type.Out_Id
Match.Match_Winner=Team.Team_Id
Match.Man_of_the_Match=Player.Player_Id
Player_Match.Match_Id=Match.Match_Id
Player_Match.Player_Id=Player.Player_Id
Player_Match.Team_Id=Team.Team_Id
Player_Match.Role_Id=Rolee.Role_Id
Country.Country_Id=Country.Country_Id
Batsman_Scored.Match_Id=Match.Match_Id
Player.Batting_hand=Batting_Style.Batting_Id
Player.Bowling_skill=Bowling_Style.Bowling_Id
Player.Country_Name=Country.Country_Id
Wicket_Taken.Match_Id=Match.Match_Id
Wicket_Taken.Player_Out=Player.Player_Id
Wicket_Taken.Kind_Out=Out_Type.Out_Id
Wicket_Taken.Fielders=Player.Player_Id

    【Question】
    List the name and country of the players who got more than average catches in ascending order of the number of catches. name and country of the players refers to Player_Name and Country_Name; catches refers to Out_name = 'caught'; average catches refers to divide(count(Player_ID) when Out_name = 'caught', sum(Player_ID))

    【Evidence】
    name and country of the players refers to Player_Name and Country_Name; catches refers to Out_name = 'caught'; average catches refers to divide(count(Player_ID) when Out_name = 'caught', sum(Player_ID))

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.Player_Name, T4.Country_Name FROM Player AS T1 INNER JOIN Wicket_Taken AS T2 ON T1.Player_Id = T2.Fielders INNER JOIN Out_Type AS T3 ON T2.Kind_Out = T3.Out_Id INNER JOIN Country AS T4 ON T1.Country_Name = T4.Country_Id GROUP BY T1.Player_Name ORDER BY COUNT(T3.Out_Name) ASC