How to do KMeans Clustering in Python for Soccer Analysis

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[@wasiuddinshaikh9125]

Thanks for so much educational content

[@arshad1781]

Thanks for the shearing valuable knowledge free of cost ❤️❤️❤️❤️❤️❤️❤️

[@McKayJohns]

Glad it was helpful!

[@gabrielfoligno]

Hello bro! I love your content! Could you create passing sonars as your next tutorial? I'd love that!

[@McKayJohns]

Thanks! I will add it to my list!

[@fredericgirod539]

Many thanks for this awesome tutorial.
Another suggestion of next tutorial: using Kmeans clustering for players formation ??

[@McKayJohns]

Great suggestion! I'll look into it

[@fredericgirod539]

@@McKayJohns I’m very interested to see how you do it

[@VarunSharma-rr5dz]

@@McKayJohns can we use KMeans in selecting players for the team? Will it be based on features selection(variables) ? Any Suggestions.....

[@MrMastermind149]

Hey McKay! I tried implementing this but using data from whoscored, and the plotted lines are going out of the pitch figure. Any clue as to how to fix it?

[@McKayJohns]

Ya you’ll have to make sure the data is the same as the pitch. The statsbomb is 120 by 80 while whoscored I think is 100x100

[@MrMastermind149]

@@McKayJohns Aah yes ofcourse! Thank you!

[@SuchithVilluri]

Hey! My graph is not plotting any clusters. Could you suggest any other method?

[@giacomom3202]

A little easier: df[['x','y']] = df['location'].to_list()

[@McKayJohns]

Thanks! That's good to know

[@giacomom3202]

@@McKayJohns Really enjoyed the tutorial, thanks. Looking forward to more!