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I have done some basic visualization and analysis of Football matches,individual players and overall stats for all the teams

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1995_96 - 2020 Premier league standings.csv
1995_96 - 2020 Premier league standings.csv
 
 
Beeswarm for PL.ipynb
Beeswarm for PL.ipynb
 
 
Bumpy Charts for La liga.ipynb
Bumpy Charts for La liga.ipynb
 
 
Convex hull.ipynb
Convex hull.ipynb
 
 
Kmeans_clustering_worldcupfinal.ipynb
Kmeans_clustering_worldcupfinal.ipynb
 
 
La Liga.csv
La Liga.csv
 
 
Linear Regression for PL standings from 1965-2020.ipynb
Linear Regression for PL standings from 1965-2020.ipynb
 
 
Moving Averages.ipynb
Moving Averages.ipynb
 
 
PL_defensive.csv
PL_defensive.csv
 
 
Pass networks .ipynb
Pass networks .ipynb
 
 
Pizza Plot.ipynb
Pizza Plot.ipynb
 
 
Progressive pass .ipynb
Progressive pass .ipynb
 
 
README.md
README.md
 
 
Radar Charts.ipynb
Radar Charts.ipynb
 
 
SOUvsBOU.csv
SOUvsBOU.csv
 
 
Shotmaps_barcelona.ipynb
Shotmaps_barcelona.ipynb
 
 
Varanoi.ipynb
Varanoi.ipynb
 
 
Waffle Touches.ipynb
Waffle Touches.ipynb
 
 
convexhulldata.csv
convexhulldata.csv
 
 
europaFinal.csv
europaFinal.csv
 
 
heatmaps.ipynb
heatmaps.ipynb
 
 
laligalogo.png
laligalogo.png
 
 
messibetis.csv
messibetis.csv
 
 
passingstats.csv
passingstats.csv
 
 
passingstats_PL.csv
passingstats_PL.csv
 
 
radars.csv
radars.csv
 
 
seriaA_defensive_stats.csv
seriaA_defensive_stats.csv
 
 
shotmaps_barca.xlsx
shotmaps_barca.xlsx
 
 
tottenham prem xg.csv
tottenham prem xg.csv
 
 
touches.csv
touches.csv
 
 
valladolidA.csv
valladolidA.csv
 
 
webscraping_understat.py
webscraping_understat.py
 
 
worldcupfinal.csv
worldcupfinal.csv
 
 
xG Flowcharts .ipynb
xG Flowcharts .ipynb
 
 

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Basic-Football-Analysis

I have done some basic visualization and analysis of Football matches,individual players and overall stats for all the teams ⚽ Also, the code for scrapping the data from understat has been uploaded

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I have done some basic visualization and analysis of Football matches,individual players and overall stats for all the teams

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