Euro2020-API 0.0.1

Get insights from the Euro 2020 data.

Euro 2020 API ⚽️

About the API | How to use | Reference | Documentation | Github

About the API

Working with data from Euro 2020. Get insightful charts and informations from player and team performance during the competition using statsbomb and fbref data.

How to use

Libraries needed

pip install pandas
pip install time
pip install matplolib.pyplot
pip install seaborn
pip install numpy
pip install sklearn
pip install math
pip install mplsoccer
pip install soccerpllots

Installing the API

pip install Euro2020_API

Importing the API

from Euro2020_API import Stats

Methods

Method:	What the method does:
SimilarOffense(player_name)	Returns a dataset with similar players(Forwards and Midfileders) related to the one you choose by a KMeans model.
SimlarDefense(player_name)	Returns a dataset with similar players(Defenders and Midfileders) related to the one you choose by a KMeans model.
RadarChartOff(player1, player2)	Returns a Radar chart comparing two offensive players performance and a scatterplot that shows their grade and salary.
RadarChartDef(player1, player2)	Returns a Radar chart comparing two defensive players performance and a scatterplot that shows their grade and salary.
RadarChartGK(player1, player2)	Returns a Radar chart comparing two Goalkeepers performance and a scatterplot that shows their grade and salary.
Scorers()	Returns a dataframe with the players who had high number of goals.
Passers()	Returns a dataframe with the players who had high number of assists and passing percentage.
get_player(player_name)	Returns a dataframe with every Fbref info abouth them during the Euro.

Parameters:

player_name= Name of the player you want.

player1,player2 = Name of the two players you desire to compare.

Github Repository

Repository with the documentation and examples of how to use the package.

• https://github.com/AnabeatrizMacedo241/Euro2020_API

Reference

• https://fbref.com
• https://github.com/statsbomb