Making Your Own Shot and Pass Maps

Third lecture in our series on Soccermatics in Python. David Sumpter looks at how to make shot maps and pass maps from event data.

Learning goals for this video are:
1, Loading match data json
2, Finding all the shots in match data
3, Plotting a pitch
4, Plotting shots on the pitch
5, Highlighting goals
6, Plotting expected goals
7, Plotting passes

The challenge when you are done is to:
1, Think of a player who you enjoyed watching at the recent Men’s or Women’s World Cups.
2, What actions did they perform that were important and why?
3, Plot the actions and describe how the data supports or contradicts your own analysis.
4, Write a tweet/short blog post using at most two figures that illustrate your point.


The code you need for todays lecture is available in:
https://github.com/Friends-of-Trackin...