Designed the schema and implemented a MySQL relational database to store data pertaining to Soccer World Cup 2014 Used python mysql.connector to establish a connection with the MySql About
Investigate Soccer Database Preface: I will be using the soccer database which comes from Kaggle,this database contains data for more than 25,000 soccer matches,more than 10,000 players, and teams from several European countries from 2008 to 2016.
This repository contains some datasets around football (soccer). The main dataset contains results from ~1 million top-tier games. Football Results Dataset. data/results contains results of 1,078,214 football games in 207 top-tier domestic leagues and 20 international tournaments (UEFA EuroLeague/ChampionsLeague,etc.) from 1888-2019. The files are split up by competition but all follow the same scheme.
Analysis of the Soccer dataset from Kaggle. Contribute to AkashD19/Soccer-Database-Kaggle development by creating an account on GitHub.
Features. create.sql creates 6 entities connected 9 relations [stadiums, teams, players, matches, results and scores]. insert.sql adds rows to these tables - 12 stadiums and teams, 11 players to each team and results of 24 matches with details. drop.sql deletes all of data. Remaining SQL scripts form the basis further work on the database.
soccer_database. Contribute to ash14psb/soccer_player development by creating an account on GitHub.
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schema.sql. football.db database schema (tables, views, etc.) scripts (in SQL) and documentation. The football.db includes the following tables:. teams; games; events ...
### Matches Quarter-finals - 1st Leg [Tue Apr/1] 20.45 FC Barcelona 1-1 Atlético Madrid @ Camp Nou, Barcelona [Neymar 71'; Diego 56'] 20.45 Manchester United 1-1 Bayern München @ Old Trafford, Manchester [Vidić 58'; Schweinsteiger 67'] [Wed Apr/2] 20.45 Real Madrid 3-0 Borussia Dortmund @ Santiago Bernabéu, Madrid [Bale 3' Isco 27' Ronaldo 57'] 20.45 Paris Saint-Germain 3-1 Chelsea FC ...