SQL Exercise: Matches end in a goalless draw in group stage of play
22. From the following tables, write a SQL query to find the matches that ended in a goalless draw at the group stage. Return match number, country name.
Sample table: match_detailsmatch_no | play_stage | team_id | win_lose | decided_by | goal_score | penalty_score | ass_ref | player_gk ----------+------------+---------+----------+------------+------------+---------------+---------+----------- 1 | G | 1207 | W | N | 2 | | 80016 | 160140 1 | G | 1216 | L | N | 1 | | 80020 | 160348 2 | G | 1201 | L | N | 0 | | 80003 | 160001 2 | G | 1221 | W | N | 1 | | 80023 | 160463 3 | G | 1224 | W | N | 2 | | 80031 | 160532 3 | G | 1218 | L | N | 1 | | 80025 | 160392 4 | G | 1206 | D | N | 1 | | 80008 | 160117 4 | G | 1217 | D | N | 1 | | 80019 | 160369 5 | G | 1222 | L | N | 0 | | 80011 | 160486 5 | G | 1204 | W | N | 1 | | 80022 | 160071 6 | G | 1213 | W | N | 1 | | 80036 | 160279 6 | G | 1212 | L | N | 0 | | 80029 | 160256 7 | G | 1208 | W | N | 2 | | 80014 | 160163 7 | G | 1223 | L | N | 0 | | 80006 | 160508 8 | G | 1219 | W | N | 1 | | 80018 | 160416 8 | G | 1205 | L | N | 0 | | 80012 | 160093 9 | G | 1215 | D | N | 1 | | 80017 | 160324 9 | G | 1220 | D | N | 1 | | 80010 | 160439 10 | G | 1203 | L | N | 0 | | 80004 | 160047 10 | G | 1211 | W | N | 2 | | 80007 | 160231 11 | G | 1202 | L | N | 0 | | 80026 | 160024 11 | G | 1209 | W | N | 2 | | 80028 | 160187 12 | G | 1214 | D | N | 1 | | 80009 | 160302 12 | G | 1210 | D | N | 1 | | 80015 | 160208 13 | G | 1217 | L | N | 1 | | 80001 | 160369 13 | G | 1218 | W | N | 2 | | 80002 | 160392 14 | G | 1216 | D | N | 1 | | 80030 | 160348 14 | G | 1221 | D | N | 1 | | 80032 | 160463 15 | G | 1207 | W | N | 2 | | 80033 | 160140 15 | G | 1201 | L | N | 0 | | 80027 | 160001 16 | G | 1206 | W | N | 2 | | 80005 | 160117 16 | G | 1224 | L | N | 1 | | 80013 | 160531 17 | G | 1223 | L | N | 0 | | 80035 | 160508 17 | G | 1212 | W | N | 2 | | 80034 | 160256 18 | G | 1208 | D | N | 0 | | 80021 | 160163 18 | G | 1213 | D | N | 0 | | 80024 | 160278 19 | G | 1211 | W | N | 1 | | 80016 | 160231 19 | G | 1220 | L | N | 0 | | 80020 | 160439 20 | G | 1205 | D | N | 2 | | 80004 | 160093 20 | G | 1204 | D | N | 2 | | 80007 | 160071 21 | G | 1219 | W | N | 3 | | 80017 | 160416 21 | G | 1222 | L | N | 0 | | 80010 | 160486 22 | G | 1203 | W | N | 3 | | 80009 | 160047 22 | G | 1215 | L | N | 0 | | 80015 | 160324 23 | G | 1210 | D | N | 1 | | 80030 | 160208 23 | G | 1209 | D | N | 1 | | 80032 | 160187 24 | G | 1214 | D | N | 0 | | 80008 | 160302 24 | G | 1202 | D | N | 0 | | 80019 | 160024 25 | G | 1216 | L | N | 0 | | 80035 | 160348 25 | G | 1201 | W | N | 1 | | 80034 | 160001 26 | G | 1221 | D | N | 0 | | 80001 | 160463 26 | G | 1207 | D | N | 0 | | 80002 | 160140 27 | G | 1217 | L | N | 0 | | 80011 | 160369 27 | G | 1224 | W | N | 3 | | 80022 | 160531 28 | G | 1218 | D | N | 0 | | 80003 | 160392 28 | G | 1206 | D | N | 0 | | 80023 | 160117 29 | G | 1223 | L | N | 0 | | 80031 | 160508 29 | G | 1213 | W | N | 1 | | 80025 | 160278 30 | G | 1212 | L | N | 0 | | 80026 | 160256 30 | G | 1208 | W | N | 1 | | 80028 | 160163 31 | G | 1205 | L | N | 0 | | 80033 | 160093 31 | G | 1222 | W | N | 2 | | 80027 | 160486 32 | G | 1204 | W | N | 2 | | 80021 | 160071 32 | G | 1219 | L | N | 1 | | 80024 | 160416 33 | G | 1210 | W | N | 2 | | 80018 | 160208 33 | G | 1202 | L | N | 1 | | 80012 | 160024 34 | G | 1209 | D | N | 3 | | 80014 | 160187 34 | G | 1214 | D | N | 3 | | 80006 | 160302 35 | G | 1211 | L | N | 0 | | 80036 | 160233 35 | G | 1215 | W | N | 1 | | 80029 | 160324 36 | G | 1220 | L | N | 0 | | 80005 | 160439 36 | G | 1203 | W | N | 1 | | 80013 | 160047 37 | R | 1221 | L | P | 1 | 4 | 80004 | 160463 37 | R | 1213 | W | P | 1 | 5 | 80007 | 160278 38 | R | 1224 | W | N | 1 | | 80014 | 160531 38 | R | 1212 | L | N | 0 | | 80006 | 160256 39 | R | 1204 | L | N | 0 | | 80003 | 160071 39 | R | 1214 | W | N | 1 | | 80023 | 160302 40 | R | 1207 | W | N | 2 | | 80008 | 160140 40 | R | 1215 | L | N | 1 | | 80019 | 160324 41 | R | 1208 | W | N | 3 | | 80018 | 160163 41 | R | 1218 | L | N | 0 | | 80012 | 160392 42 | R | 1209 | L | N | 0 | | 80017 | 160187 42 | R | 1203 | W | N | 4 | | 80010 | 160047 43 | R | 1211 | W | N | 2 | | 80009 | 160231 43 | R | 1219 | L | N | 0 | | 80015 | 160416 44 | R | 1206 | L | N | 1 | | 80001 | 160117 44 | R | 1210 | W | N | 2 | | 80002 | 160208 45 | Q | 1213 | L | P | 1 | 3 | 80005 | 160278 45 | Q | 1214 | W | P | 1 | 5 | 80013 | 160302 46 | Q | 1224 | W | N | 3 | | 80001 | 160531 46 | Q | 1203 | L | N | 1 | | 80002 | 160047 47 | Q | 1208 | W | P | 1 | 6 | 80016 | 160163 47 | Q | 1211 | L | P | 1 | 5 | 80020 | 160231 48 | Q | 1207 | W | N | 5 | | 80021 | 160140 48 | Q | 1210 | L | N | 2 | | 80024 | 160208 49 | S | 1214 | W | N | 2 | | 80011 | 160302 49 | S | 1224 | L | N | 0 | | 80022 | 160531 50 | S | 1207 | W | N | 2 | | 80008 | 160140 50 | S | 1208 | L | N | 1 | | 80019 | 160163 51 | F | 1214 | W | N | 1 | | 80004 | 160302 51 | F | 1207 | L | N | 0 | | 80007 | 160140Sample table: soccer_country
country_id | country_abbr | country_name ------------+--------------+--------------------- 1201 | ALB | Albania 1202 | AUT | Austria 1203 | BEL | Belgium 1204 | CRO | Croatia 1205 | CZE | Czech Republic 1206 | ENG | England 1207 | FRA | France 1208 | GER | Germany 1209 | HUN | Hungary 1210 | ISL | Iceland 1211 | ITA | Italy 1212 | NIR | Northern Ireland 1213 | POL | Poland 1214 | POR | Portugal 1215 | IRL | Republic of Ireland 1216 | ROU | Romania 1217 | RUS | Russia 1218 | SVK | Slovakia 1219 | ESP | Spain 1220 | SWE | Sweden 1221 | SUI | Switzerland 1222 | TUR | Turkey 1223 | UKR | Ukraine 1224 | WAL | Wales 1225 | SLO | Slovenia 1226 | NED | Netherlands 1227 | SRB | Serbia 1228 | SCO | Scotland 1229 | NOR | Norway
Sample Solution:
SQL Code:
-- This query selects specific columns from the match_details table and the soccer_country table.
SELECT
match_no, -- Selecting the match number from the match_details table
country_name -- Selecting the country name from the soccer_country table
FROM
match_details -- Specifying the match_details table
JOIN
soccer_country ON soccer_country.country_id = match_details.team_id -- Joining the soccer_country table with the match_details table based on the team_id
WHERE
win_lose = 'D' -- Filtering rows where the match resulted in a draw
AND goal_score = 0 -- Filtering rows where the goal score is zero
AND play_stage = 'G' -- Filtering rows where the play stage is 'G' (presumably group stage)
ORDER BY
-- Ordering the results by match number
match_no;
Sample Output:
match_no | country_name ----------+-------------- 18 | Germany 18 | Poland 24 | Austria 24 | Portugal 26 | Switzerland 26 | France 28 | England 28 | Slovakia (8 rows)
Code Explanation:
The said query in SQL that selects the match number and country name of all soccer matches from the tables 'match_details' and 'soccer_country' where the result was a draw, no goals were scored , and the match was played during the group stage . The results are ordered by match number.
The INNER JOIN is used to joins the 'match_details' and 'soccer_country' tables based on their common column 'team_id' and 'country_id', respectively.
The WHERE clause filters the results and include those rows for goal scored is 0 and match ended with a draw and the match was in group stage. The ORDER BY clause sorts the results by match number.
Alternative Solutions:
Subquery in WHERE Clause:
-- This query selects specific columns from the match_details table and the soccer_country table.
SELECT
match_no, -- Selecting the match number from the match_details table
country_name -- Selecting the country name from the soccer_country table
FROM
match_details -- Specifying the match_details table
JOIN
soccer_country ON soccer_country.country_id = match_details.team_id -- Joining the soccer_country table with the match_details table based on the team_id
WHERE
win_lose = 'D' -- Filtering rows where the match resulted in a draw
AND goal_score = 0 -- Filtering rows where the goal score is zero
AND play_stage = 'G' -- Filtering rows where the play stage is 'G' (presumably group stage)
AND match_no IN ( -- Ensuring that the match number is present in the subquery result
SELECT
match_no -- Selecting the match numbers
FROM
match_details -- Specifying the match_details table for the subquery
WHERE
win_lose = 'D' -- Filtering rows where the match resulted in a draw
AND goal_score = 0 -- Filtering rows where the goal score is zero
AND play_stage = 'G' -- Filtering rows where the play stage is 'G' (presumably group stage)
)
ORDER BY
-- Ordering the results by match number
match_no;
Explanation:
This query uses a subquery in the WHERE clause to filter the matches. The subquery selects match numbers where the conditions win_lose='D', goal_score=0, and play_stage='G' are met. The main query then checks if the match number is in the list returned by the subquery.
Using EXISTS:
-- This query selects specific columns from the match_details table and the soccer_country table.
SELECT
md.match_no, -- Selecting the match number from the match_details table
sc.country_name -- Selecting the country name from the soccer_country table
FROM
match_details md -- Specifying the match_details table with an alias 'md'
JOIN
soccer_country sc ON md.team_id = sc.country_id -- Joining the soccer_country table with the match_details table based on the team_id
WHERE
win_lose = 'D' -- Filtering rows where the match resulted in a draw
AND goal_score = 0 -- Filtering rows where the goal score is zero
AND play_stage = 'G' -- Filtering rows where the play stage is 'G' (presumably group stage)
AND EXISTS ( -- Ensuring that there exists a record in the subquery matching certain conditions
SELECT
1 -- Selecting a constant value '1' to indicate existence
FROM
match_details md2 -- Specifying the match_details table for the subquery with an alias 'md2'
WHERE
md2.match_no = md.match_no -- Matching the match numbers between the main query and the subquery
AND md2.win_lose = 'D' -- Filtering rows where the match resulted in a draw in the subquery
AND md2.goal_score = 0 -- Filtering rows where the goal score is zero in the subquery
AND md2.play_stage = 'G' -- Filtering rows where the play stage is 'G' (presumably group stage) in the subquery
)
ORDER BY
-- Ordering the results by match number
md.match_no;
Explanation:
This query uses an EXISTS subquery to check if there's at least one record in match_details with the specified conditions for each match. It joins match_details and soccer_country, and then uses the EXISTS clause to filter the results.
Using INNER JOIN with Subquery:
-- This query selects specific columns from the match_details table and the soccer_country table.
SELECT
md.match_no, -- Selecting the match number from the match_details table
sc.country_name -- Selecting the country name from the soccer_country table
FROM
( -- Subquery to filter matches meeting certain conditions and group them by match number
SELECT
match_no -- Selecting match numbers
FROM
match_details -- Specifying the match_details table
WHERE
win_lose = 'D' -- Filtering rows where the match resulted in a draw
AND goal_score = 0 -- Filtering rows where the goal score is zero
AND play_stage = 'G' -- Filtering rows where the play stage is 'G' (presumably group stage)
GROUP BY
match_no -- Grouping the matches by match number
) as filtered_matches -- Aliasing the subquery as 'filtered_matches'
JOIN
match_details md ON filtered_matches.match_no = md.match_no -- Joining the filtered matches with match_details table based on match number
JOIN
soccer_country sc ON md.team_id = sc.country_id -- Joining the soccer_country table with the match_details table based on the team_id
ORDER BY
-- Ordering the results by match number
md.match_no;
Explanation:
This query first creates a subquery (filtered_matches) to select match numbers where the specified conditions are met. It then joins this subquery with match_details and soccer_country to retrieve the desired columns.
Relational Algebra Expression:
Relational Algebra Tree:
Practice Online
Sample Database: soccer
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous SQL Exercise: Matches with most stoppage time added in the 2nd half.
Next SQL Exercise: 2nd highest stoppage time in the 2nd half of matches.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics