Here are 50 additional SQL queries for the Fifa_world_cup_matches table, incorporating various SQL concepts and techniques:
11. Aggregate Functions with HAVING
Query: Find teams with an average of more than 2 goals per match.
12. Window Functions with LAG
Query: Calculate the difference in goals scored between consecutive matches for each team.
13. Common Table Expression with Aggregation
Query: Use a CTE to find the total number of matches played by each team.
14. GROUP BY with GROUPING SETS
Query: Calculate the total goals scored by each team and overall.
15. Window Functions with NTILE
Query: Divide teams into quartiles based on total goals scored.
16. Stored Procedure with Output Parameters
Query: Create a stored procedure to return the total goals for a given team.
17. Recursive CTE for Hierarchical Data
Query: Use a recursive CTE to simulate a tournament bracket.
18. GROUP BY with HAVING and ORDER BY
Query: List teams with more than 10 wins, ordered by the number of wins.
19. Window Functions with ROW_NUMBER
Query: Assign a unique rank to each match based on total goals scored.
20. CTE with Multiple Subqueries
Query: Use a CTE to find the average goals per match for each team.
21. Aggregate Functions with DISTINCT
Query: Count the number of unique teams that have played in the World Cup.
22. Window Functions with FIRST_VALUE
Query: Find the first match played by each team.
23. Common Table Expression with JOIN
Query: Use a CTE to find matches with the highest attendance for each year.
24. GROUP BY with ROLLUP and HAVING
Query: Calculate the total and average goals scored by each team, including overall totals.
25. Window Functions with PERCENT_RANK
Query: Calculate the percentile rank of each match based on total goals scored.
26. Stored Procedure with Conditional Logic
Query: Create a stored procedure to return matches based on a goal threshold.
27. Recursive CTE for Generating Series
Query: Use a recursive CTE to generate a series of match IDs.
28. GROUP BY with HAVING and Subquery
Query: Find teams with more wins than the average number of wins.
29. Window Functions with CUME_DIST
Query: Calculate the cumulative distribution of total goals scored in each match.
30. CTE with Aggregation and JOIN
Query: Use a CTE to find the average attendance for matches with more than 5 goals.
31. Aggregate Functions with CASE
Query: Count the number of matches won, lost, and drawn by each team.
32. Window Functions with NTH_VALUE
Query: Find the third highest scoring match for each team.
33. Common Table Expression with Recursive Join
Query: Use a recursive CTE to find all matches leading to a specific final.
34. GROUP BY with GROUPING SETS and ORDER BY
Query: Calculate the total goals scored by each team and by each year, ordered by total goals.
35. Window Functions with LAG and LEAD
Query: Calculate the difference in goals scored between consecutive matches for each team, and the next match.
36. Stored Procedure with Dynamic SQL
Query: Create a stored procedure to dynamically query matches based on input conditions.
37. Recursive CTE for Pathfinding
Query: Use a recursive CTE to find all matches involving a specific team.
38. GROUP BY with ROLLUP and HAVING
Query: Calculate the total and average goals scored by each team, including overall totals, with a minimum threshold.
39. Window Functions with RANK and DENSE_RANK
Query: Rank matches based on total goals scored, with ties receiving the same rank.
40. CTE with Aggregation and Filtering
Query: Use a CTE to find the average goals per match for teams with more than 20 matches.
41. Aggregate Functions with Subquery
Query: Find the team with the highest average goals per match.
42. Window Functions with LAST_VALUE
Query: Find the last match played by each team.
43. Common Table Expression with Multiple Joins
Query: Use a CTE to find the highest scoring matches for each team.
44. GROUP BY with GROUPING SETS and FILTER
Query: Calculate the total goals scored by each team and by each year, with a filter on goals.
45. Window Functions with PERCENT_RANK and CUME_DIST
Query: Calculate the percentile and cumulative distribution of total goals scored in each match.
46. Stored Procedure with Conditional Logic and Dynamic SQL
Query: Create a stored procedure to dynamically query matches based on input conditions and return results.
47. Recursive CTE for Hierarchical Pathfinding
Query: Use a recursive CTE to find all matches leading to a specific team's final.
48. GROUP BY with ROLLUP and FILTER
Query: Calculate the total and average goals scored by each team, including overall totals, with a filter on goals.
49. Window Functions with RANK and DENSE_RANK and ROW_NUMBER
Query: Rank matches based on total goals scored, with ties receiving the same rank, and assign a unique row number.
50. CTE with Aggregation and Filtering and JOIN
Query: Use a CTE to find the average goals per match for teams with more than 30 matches and join with another table.
These queries cover a wide range of SQL techniques, including advanced aggregation, window functions, stored procedures, and common table expressions. Let me know if you need further explanations or additional queries!