Wyscout¶

Load local files¶

In [1]:

from kloppy import wyscout

dataset = wyscout.load(
    event_data="../../kloppy/tests/files/wyscout_events.json",
    
    # Optional arguments
    event_types=["shot", "pass"],
    coordinates="wyscout"
)

dataset.to_df().head()

from kloppy import wyscout dataset = wyscout.load( event_data="../../kloppy/tests/files/wyscout_events.json", # Optional arguments event_types=["shot", "pass"], coordinates="wyscout" ) dataset.to_df().head()

Out[1]:

	event_id	event_type	result	success	period_id	timestamp	end_timestamp	ball_state	ball_owning_team	team_id	...	coordinates_x	coordinates_y	end_coordinates_x	end_coordinates_y	receiver_player_id	is_counter_attack	pass_type	set_piece_type	body_part_type	goalkeeper_action_type
0	190078343	PASS	COMPLETE	True	1	2.643377	None	None	None	1612	...	50.0	50.0	29.0	41.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
1	190078344	PASS	INCOMPLETE	False	1	4.350302	None	None	None	1612	...	29.0	41.0	71.0	94.0	NaN	False	HIGH_PASS	NaN	NaN	NaN
2	190079073	PASS	INCOMPLETE	False	1	8.010654	None	None	None	1631	...	29.0	6.0	36.0	3.0	NaN	False	HEAD_PASS	NaN	NaN	NaN
3	190079074	PASS	COMPLETE	True	1	14.934050	None	None	None	1631	...	39.0	0.0	41.0	13.0	NaN	False	HAND_PASS	THROW_IN	NaN	NaN
4	190079076	PASS	COMPLETE	True	1	16.013375	None	None	None	1631	...	41.0	13.0	63.0	15.0	NaN	False	HIGH_PASS	NaN	NaN	NaN

5 rows × 21 columns

Load remote files¶

You can also directly read files from urls (http or https) by passing a url instead of a local path.

In [2]:

from kloppy import wyscout

dataset = wyscout.load(
    event_data="https://raw.githubusercontent.com/koenvo/wyscout-soccer-match-event-dataset/main/processed/files/1694390.json",
    
    # Optional arguments
    event_types=["shot", "pass"],
    coordinates="wyscout"
)

dataset.to_df().head()

from kloppy import wyscout dataset = wyscout.load( event_data="https://raw.githubusercontent.com/koenvo/wyscout-soccer-match-event-dataset/main/processed/files/1694390.json", # Optional arguments event_types=["shot", "pass"], coordinates="wyscout" ) dataset.to_df().head()

Out[2]:

	event_id	event_type	result	success	period_id	timestamp	end_timestamp	ball_state	ball_owning_team	team_id	...	coordinates_x	coordinates_y	end_coordinates_x	end_coordinates_y	receiver_player_id	is_counter_attack	pass_type	set_piece_type	goalkeeper_action_type	body_part_type
0	88178642	PASS	COMPLETE	True	1	1.255990	None	None	None	4418	...	50.0	48.0	47.0	50.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
1	88178643	PASS	COMPLETE	True	1	2.351908	None	None	None	4418	...	47.0	50.0	41.0	48.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
2	88178644	PASS	COMPLETE	True	1	3.241028	None	None	None	4418	...	41.0	48.0	32.0	35.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
3	88178645	PASS	INCOMPLETE	False	1	6.033681	None	None	None	4418	...	32.0	35.0	89.0	6.0	NaN	False	HIGH_PASS	NaN	NaN	NaN
4	88178648	PASS	INCOMPLETE	False	1	27.053006	None	None	None	4418	...	85.0	0.0	93.0	16.0	NaN	False	HAND_PASS	THROW_IN	NaN	NaN

5 rows × 21 columns

Load open data¶

For loading Wyscout open data you can also use statsbomb.load_open_data. The api is very simular but you don't have to pass the urls.

In [3]:

from kloppy import wyscout

dataset = wyscout.load_open_data(
    match_id=1694390,
    
    # Optional arguments
    event_types=["shot", "pass"],
    coordinates="wyscout"
)

dataset.to_df().head()

from kloppy import wyscout dataset = wyscout.load_open_data( match_id=1694390, # Optional arguments event_types=["shot", "pass"], coordinates="wyscout" ) dataset.to_df().head()

Out[3]:

	event_id	event_type	result	success	period_id	timestamp	end_timestamp	ball_state	ball_owning_team	team_id	...	coordinates_x	coordinates_y	end_coordinates_x	end_coordinates_y	receiver_player_id	is_counter_attack	pass_type	set_piece_type	goalkeeper_action_type	body_part_type
0	88178642	PASS	COMPLETE	True	1	1.255990	None	None	None	4418	...	50.0	48.0	47.0	50.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
1	88178643	PASS	COMPLETE	True	1	2.351908	None	None	None	4418	...	47.0	50.0	41.0	48.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
2	88178644	PASS	COMPLETE	True	1	3.241028	None	None	None	4418	...	41.0	48.0	32.0	35.0	NaN	False	SIMPLE_PASS	NaN	NaN	NaN
3	88178645	PASS	INCOMPLETE	False	1	6.033681	None	None	None	4418	...	32.0	35.0	89.0	6.0	NaN	False	HIGH_PASS	NaN	NaN	NaN
4	88178648	PASS	INCOMPLETE	False	1	27.053006	None	None	None	4418	...	85.0	0.0	93.0	16.0	NaN	False	HAND_PASS	THROW_IN	NaN	NaN

5 rows × 21 columns