matplotsoccer

This is a package to visualize soccer data

To install it simply

pip install matplotsoccer

The most important functions are

1. Plotting a field with matplotsoccer.field():

2. Plotting a heatmap with matplotsoccer.heatmap(matrix)

3. Plotting soccer event stream data. Here is an example of five actions in the SPADL format (see https://github.com/ML-KULeuven/socceraction) leading up to Belgium's second goal against England in the third place play-off in the 2018 FIFA world cup.

Here is the phase visualized using matplotsoccer.actions()

matplotsoccer.actions(
    location=actions[["start_x", "start_y", "end_x", "end_y"]],
    action_type=actions.type_name,
    team=actions.team_name,
    result= actions.result_name == "success",
    label=actions[["time_seconds", "type_name", "player_name", "team_name"]],
    labeltitle=["time","actiontype","player","team"],
    zoom=False
)

(c) Tom Decroos 2019