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The UEFA Champions League, often called the Champions League, is a preeminent annual soccer competition that captivates fans worldwide. Established in 1955 as the European Champion Clubs' Cup, it evolved into the UEFA Champions League in 1992, broadening its appeal. The modern format features 32 top-tier club teams selected based on their domestic league performance, adding to the intrigue.

This electrifying event transcends sports, becoming a celebration of unity, culture, and national pride. Fans, draped in their countries' colors, create an electric atmosphere, making the tournament as much about the spectators as the players.Financially, the Champions League is a lifeline for clubs, boosting revenues and offering transformative opportunities. Nevertheless, it sparks debates about wealth disparities in European soccer.

The Champions League is synonymous with historic rivalries, underdog triumphs, and individual brilliance. For players, it represents a career pinnacle, while for fans, it's a cultural phenomenon. The iconic anthem and rituals enrich the soccer experience. In 200 words, the UEFA Champions League is the epitome of European soccer excellence, offering unforgettable moments, financial rewards, and a unique cultural impact, with 32 top clubs adding to its allure.

Schema name: SOCCER

Table Name(s): TBL_UEFA_2020 | TBL_UEFA_2021 | TBL_UEFA_2022

Note : All three tables have same column names and data types

ColumnDefinitionData type
STAGEStage of the MarchVARCHAR(50)
DATEWhen the match occurred.DATE
PENSDid the match end with penaltyVARCHAR(50)
PENS_HOME_SCOREIn case of penalty, score by home teamVARCHAR(50)
PENS_AWAY_SCOREIn case of penalty, score by away teamVARCHAR(50)
TEAM_NAME_HOMETeam home nameVARCHAR(50)
TEAM_NAME_AWAYTeam away nameVARCHAR(50)
TEAM_HOME_SCORETeam home scoreNUMBER
TEAM_AWAY_SCORETeam away scoreNUMBER
POSSESSION_HOMEBall possession for the team homeFLOAT
POSSESSION_AWAYBall possession for the team awayFLOAT
TOTAL_SHOTS_HOMEMethod of transport usedNUMBER
TOTAL_SHOTS_AWAYMillions of journeys, measured in decimalsNUMBER
SHOTS_ON_TARGET_HOMETotal shot for team homeFLOAT
SHOTS_ON_TARGET_AWAYTotal shot for team awayFLOAT
DUELS_WON_HOMEduel win possession of ball - for home teamNUMBER
DUELS_WON_AWAYduel win possession of ball - for away teamNUMBER
PREDICTION_TEAM_HOME_WINProbability of home team to winFLOAT
PREDICTION_DRAWProbability of drawFLOAT
PREDICTION_TEAM_AWAY_WINProbability of away team to winFLOAT
LOCATIONMillions of journeys, measured in decimalsVARCHAR(50)
Note that in Snowflake all databases, tables, and columns are upper case by default.

You will execute SQL queries to answer three questions, as listed in the instructions.

Find the top 3 teams which scored highest goals while playing at their home ground in UEFA Champions League 2020-21. The output should contain two columns: TEAM_NAME_HOME and TEAM_HOME_SCORE arranged in descending order of TEAM_HOME_SCORE. Save the query as TEAM_HOME_WITH_MOST_GOALS

Spinner
DataFrameas
TEAM_HOME_WITH_MOST_GOALS
variable
-- TEAM_HOME_WITH_MOST_GOALS
SELECT TEAM_NAME_HOME, TEAM_HOME_SCORE
FROM SOCCER.TBL_UEFA_2020
ORDER BY TEAM_HOME_SCORE DESC
LIMIT 3

Find the team with majority possession for maximum number of times during UEFA Champions League 2021-22. The result should include two columns: Team_with_Majority_Possession and Game_Count which is number of times the team had majority possession while playing soccer game. Save this query as TEAM_WITH_MAJORITY_POSSESSION

Spinner
DataFrameas
TEAM_WITH_MAJORITY_POSSESSION
variable
-- TEAM_WITH_MAJORITY_POSSESSION
SELECT CASE WHEN POSSESSION_HOME > POSSESSION_AWAY THEN TEAM_NAME_HOME WHEN POSSESSION_AWAY > POSSESSION_HOME THEN TEAM_NAME_AWAY ELSE NULL END AS TEAM_NAME, 
COUNT(*) AS Game_Count
FROM SOCCER.TBL_UEFA_2021
GROUP BY TEAM_NAME
ORDER BY Game_Count DESC
LIMIT 1

Find the list of teams for each stage of the game, which won the duel in a match but still ended up losing the game in UEFA Championship 2022-23. The output should contain two columns: STAGE and TEAM_LOST.Save the query as TEAM_WON_DUEL_LOST_GAME_STAGE_WISE

Spinner
DataFrameas
TEAM_WON_DUEL_LOST_GAME_STAGE_WISE
variable
-- TEAM_WON_DUEL_LOST_GAME_STAGE_WISE

SELECT STAGE, 
	CASE 
		WHEN DUELS_WON_HOME > DUELS_WON_AWAY AND TEAM_HOME_SCORE < TEAM_AWAY_SCORE THEN TEAM_NAME_HOME
		WHEN DUELS_WON_AWAY > DUELS_WON_HOME AND TEAM_AWAY_SCORE < TEAM_HOME_SCORE THEN TEAM_NAME_AWAY
		ELSE NULL
		END AS TEAM_LOST
FROM SOCCER.TBL_UEFA_2022
WHERE TEAM_LOST IS NOT NULL