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Pyrugga

Pyrugga is a library to help analyse rugby matches using Opta's Super Scout files. To learn more have a look at Getting Started notebook.

Why use Pyrugga

  • Converts XML Super Scout files to three Pandas Dataframes providing: a summary of a match, a time line and list of all actions

  • Heatmaps

  • Player Summary

Install

I am new to all of this

The easest route is to use Docker. Download the Pyrugga repo as a zip file.Then unzip and open a terminal window in the folder then type

docker-compose up

This will launch a juypter server which you can access via http://127.0.0.1:8080/tree. If you dont know how to use Juypter read this tutorial.

I know what I am doing

pip install pyrugga

For the development version

!pip install --upgrade --force-reinstal --no-deps git+https://github.com/jlondal/pyrugga.git

Quick Start

import pyrugga as prg

df = prg.Match('918053_walvfra_new.xml')

#print summary of match
df.summary

#list all actions in a matches
df.events

#time line of a match
df.timeline

#prints a heatmap
df.heat_map(event='Carry', event_type='One Out Drive', description='Crossed Gainline')

#prints a summary of each players actions normalise by phases while pitch
df.player_summary(norm='phases')

License

See LICENSE