matplotsoccer 0.0.8

Library for visualizing soccer event stream data

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():

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

1. 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.

game_id	period_id	seconds	team	player	start_x	start_y	end_x	end_y	actiontype	result	bodypart
8657	2	2179	Belgium	Axel Witsel	37.1	44.8	53.8	48.2	pass	success	foot
8657	2	2181	Belgium	Kevin De Bruyne	53.8	48.2	70.6	42.2	dribble	success	foot
8657	2	2184	Belgium	Kevin De Bruyne	70.6	42.2	87.4	49.1	pass	success	foot
8657	2	2185	Belgium	Eden Hazard	87.4	49.1	97.9	38.7	dribble	success	foot
8657	2	2187	Belgium	Eden Hazard	97.9	38.7	105	37.4	shot	success	foot

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