Project: Producing Soccer Insights for a Sports Media Agency

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

Column	Definition	Data type
`STAGE`	Stage of the March	`VARCHAR(50)`
`DATE`	When the match occurred.	`DATE`
`PENS`	Did the match end with penalty	`VARCHAR(50)`
`PENS_HOME_SCORE`	In case of penalty, score by home team	`VARCHAR(50)`
`PENS_AWAY_SCORE`	In case of penalty, score by away team	`VARCHAR(50)`
`TEAM_NAME_HOME`	Team home name	`VARCHAR(50)`
`TEAM_NAME_AWAY`	Team away name	`VARCHAR(50)`
`TEAM_HOME_SCORE`	Team home score	`NUMBER`
`TEAM_AWAY_SCORE`	Team away score	`NUMBER`
`POSSESSION_HOME`	Ball possession for the home team	`FLOAT`
`POSSESSION_AWAY`	Ball possession for the away team	`FLOAT`
`TOTAL_SHOTS_HOME`	Number of shots by the home team	`NUMBER`
`TOTAL_SHOTS_AWAY`	Number of shots by the away team	`NUMBER`
`SHOTS_ON_TARGET_HOME`	Total shot for home team	`FLOAT`
`SHOTS_ON_TARGET_AWAY`	Total shot for away team	`FLOAT`
`DUELS_WON_HOME`	duel win possession of ball - for home team	`NUMBER`
`DUELS_WON_AWAY`	duel win possession of ball - for away team	`NUMBER`
`PREDICTION_TEAM_HOME_WIN`	Probability of home team to win	`FLOAT`
`PREDICTION_DRAW`	Probability of draw	`FLOAT`
`PREDICTION_TEAM_AWAY_WIN`	Probability of away team to win	`FLOAT`
`LOCATION`	Stadium where the match was held	`VARCHAR(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.

DataFrameas

TEAM_HOME_WITH_MOST_GOALS

variable

-- TEAM_HOME_WITH_MOST_GOALS
select uefa_2020.TEAM_NAME_HOME, uefa_2020.TEAM_HOME_SCORE as TEAM_HOME_SCORE
from SOCCER.TBL_UEFA_2020 as Uefa_2020
order by TEAM_HOME_SCORE desc
limit 3

DataFrameas

TEAM_WITH_MAJORITY_POSSESSION

variable

-- TEAM_WITH_MAJORITY_POSSESSION
select
case 
	when UEFA_2021.POSSESSION_HOME > UEFA_2021.POSSESSION_AWAY then 			UEFA_2021.TEAM_NAME_HOME
	when UEFA_2021.POSSESSION_HOME < UEFA_2021.POSSESSION_AWAY then 			UEFA_2021.TEAM_NAME_AWAY 
	end as TEAM_NAME,
	count(*) as Game_Count
from SOCCER.TBL_UEFA_2021 as uefa_2021
WHERE uefa_2021.POSSESSION_HOME <> uefa_2021.POSSESSION_AWAY  
GROUP BY TEAM_NAME
ORDER BY GAME_COUNT DESC
limit 1;

DataFrameas

TEAM_WON_DUEL_LOST_GAME_STAGE_WISE

variable

-- TEAM_WON_DUEL_LOST_GAME_STAGE_WISE
select uefa_22.STAGE as STAGE, case 
	when uefa_22.DUELS_WON_HOME > uefa_22.DUELS_WON_AWAY and uefa_22.TEAM_HOME_SCORE < uefa_22.TEAM_AWAY_SCORE then uefa_22.TEAM_NAME_HOME
	when uefa_22.DUELS_WON_HOME < uefa_22.DUELS_WON_AWAY and uefa_22.TEAM_HOME_SCORE > uefa_22.TEAM_AWAY_SCORE then uefa_22.TEAM_NAME_AWAY
	else null end as team_lost
from SOCCER.TBL_UEFA_2022 as uefa_22
WHERE (uefa_22.DUELS_WON_HOME <> uefa_22.DUELS_WON_AWAY)  
  AND (uefa_22.TEAM_HOME_SCORE <> uefa_22.TEAM_AWAY_SCORE) 
  AND (CASE 
          WHEN uefa_22.DUELS_WON_HOME > uefa_22.DUELS_WON_AWAY 
               AND uefa_22.TEAM_HOME_SCORE < uefa_22.TEAM_AWAY_SCORE 
          THEN uefa_22.TEAM_NAME_HOME
          
          WHEN uefa_22.DUELS_WON_HOME < uefa_22.DUELS_WON_AWAY 
               AND uefa_22.TEAM_HOME_SCORE > uefa_22.TEAM_AWAY_SCORE 
          THEN uefa_22.TEAM_NAME_AWAY
      END IS NOT NULL)
ORDER BY uefa_22.STAGE;

Project: Producing Soccer Insights for a Sports Media Agency

Table Name(s): TBL_UEFA_2020 | TBL_UEFA_2021 | TBL_UEFA_2022

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

Table Name(s): `TBL_UEFA_2020` | `TBL_UEFA_2021` | `TBL_UEFA_2022`