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Requirements

  • python 3.6+
  • pandas
  • numpy
  • arcade

Usage

python viewer.py 

defaults to

python viewer.py --mode P --data '../data/example_data.csv'

Controls

Use mouse to select a receiver of a pass. When the correct receiver is selected, next example will be loaded.

Data

Full dataset can be downloaded from the challenge website.

About

Tool for vizualizing soccer passes from MLSA 18 Pass Prediction Challenge.

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