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EaSportsFcMatchesService

A list of all methods in the EaSportsFcMatchesService service. Click on the method name to view detailed information about that method.

MethodsDescription
get_fifa_matchesList matches for the EA Sports FC videogame
get_fifa_matches_pastList past EA Sports FC matches
get_fifa_matches_runningList running EA Sports FC matches
get_fifa_matches_upcomingList upcoming EA Sports FC matches

get_fifa_matches

List matches for the EA Sports FC videogame

  • HTTP Method: GET
  • Endpoint: /fifa/matches

Parameters

NameTypeRequiredDescription
filterFilterOverFifaMatchesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverFifaMatchesOptions to select results within ranges
For more information on ranges, see docs.
sortList[any]Options to sort results
For more information on sorting, see docs.
searchSearchOverFifaMatchesOptions to search results
For more information on searching, see docs.
pagePagePagination in the form of page=2 or page[size]=30&page[number]=2
per_pageintEquivalent to page[size]

Return Type

List[Match]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverFifaMatches, RangeOverFifaMatches, SearchOverFifaMatches

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverFifaMatches(
begin_at=[
"laboris elit"
],
detailed_stats=False,
draw=False,
end_at=[
"ad enim incidi"
],
finished=True,
forfeit=False,
future=False,
id_=[
2
],
league_id=[
6
],
match_type=[
"all_games_played"
],
modified_at=[
"elit "
],
name=[
"laborum do "
],
not_started=True,
number_of_games=[
9
],
opponent_id=[
10
],
opponents_filled=False,
past=False,
running=False,
scheduled_at=[
"dolor cupida"
],
serie_id=[
9
],
slug=[
"5y-BKFQ "
],
status=[
"canceled"
],
tournament_id=[
5
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
10
],
videogame_version=[
"5793643.972"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverFifaMatches(
begin_at=[
"labore ea p"
],
detailed_stats=[
True
],
draw=[
True
],
end_at=[
"con"
],
forfeit=[
False
],
id_=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolore"
],
name=[
"id deserunt "
],
number_of_games=[
0
],
scheduled_at=[
"al"
],
slug=[
"AH"
],
status=[
"canceled"
],
tournament_id=[
1
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverFifaMatches(
match_type="all_games_played",
name="dolore ci",
slug="L",
status="canceled",
winner_type="Player"
)
page=1

result = sdk.ea_sports_fc_matches.get_fifa_matches(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_fifa_matches_past

List past EA Sports FC matches

  • HTTP Method: GET
  • Endpoint: /fifa/matches/past

Parameters

NameTypeRequiredDescription
filterFilterOverFifaMatchesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverFifaMatchesOptions to select results within ranges
For more information on ranges, see docs.
sortList[any]Options to sort results
For more information on sorting, see docs.
searchSearchOverFifaMatchesOptions to search results
For more information on searching, see docs.
pagePagePagination in the form of page=2 or page[size]=30&page[number]=2
per_pageintEquivalent to page[size]

Return Type

List[Match]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverFifaMatches, RangeOverFifaMatches, SearchOverFifaMatches

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverFifaMatches(
begin_at=[
"laboris elit"
],
detailed_stats=False,
draw=False,
end_at=[
"ad enim incidi"
],
finished=True,
forfeit=False,
future=False,
id_=[
2
],
league_id=[
6
],
match_type=[
"all_games_played"
],
modified_at=[
"elit "
],
name=[
"laborum do "
],
not_started=True,
number_of_games=[
9
],
opponent_id=[
10
],
opponents_filled=False,
past=False,
running=False,
scheduled_at=[
"dolor cupida"
],
serie_id=[
9
],
slug=[
"5y-BKFQ "
],
status=[
"canceled"
],
tournament_id=[
5
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
10
],
videogame_version=[
"5793643.972"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverFifaMatches(
begin_at=[
"labore ea p"
],
detailed_stats=[
True
],
draw=[
True
],
end_at=[
"con"
],
forfeit=[
False
],
id_=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolore"
],
name=[
"id deserunt "
],
number_of_games=[
0
],
scheduled_at=[
"al"
],
slug=[
"AH"
],
status=[
"canceled"
],
tournament_id=[
1
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverFifaMatches(
match_type="all_games_played",
name="dolore ci",
slug="L",
status="canceled",
winner_type="Player"
)
page=1

result = sdk.ea_sports_fc_matches.get_fifa_matches_past(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_fifa_matches_running

List running EA Sports FC matches

  • HTTP Method: GET
  • Endpoint: /fifa/matches/running

Parameters

NameTypeRequiredDescription
filterFilterOverFifaMatchesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverFifaMatchesOptions to select results within ranges
For more information on ranges, see docs.
sortList[any]Options to sort results
For more information on sorting, see docs.
searchSearchOverFifaMatchesOptions to search results
For more information on searching, see docs.
pagePagePagination in the form of page=2 or page[size]=30&page[number]=2
per_pageintEquivalent to page[size]

Return Type

List[Match]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverFifaMatches, RangeOverFifaMatches, SearchOverFifaMatches

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverFifaMatches(
begin_at=[
"laboris elit"
],
detailed_stats=False,
draw=False,
end_at=[
"ad enim incidi"
],
finished=True,
forfeit=False,
future=False,
id_=[
2
],
league_id=[
6
],
match_type=[
"all_games_played"
],
modified_at=[
"elit "
],
name=[
"laborum do "
],
not_started=True,
number_of_games=[
9
],
opponent_id=[
10
],
opponents_filled=False,
past=False,
running=False,
scheduled_at=[
"dolor cupida"
],
serie_id=[
9
],
slug=[
"5y-BKFQ "
],
status=[
"canceled"
],
tournament_id=[
5
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
10
],
videogame_version=[
"5793643.972"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverFifaMatches(
begin_at=[
"labore ea p"
],
detailed_stats=[
True
],
draw=[
True
],
end_at=[
"con"
],
forfeit=[
False
],
id_=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolore"
],
name=[
"id deserunt "
],
number_of_games=[
0
],
scheduled_at=[
"al"
],
slug=[
"AH"
],
status=[
"canceled"
],
tournament_id=[
1
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverFifaMatches(
match_type="all_games_played",
name="dolore ci",
slug="L",
status="canceled",
winner_type="Player"
)
page=1

result = sdk.ea_sports_fc_matches.get_fifa_matches_running(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_fifa_matches_upcoming

List upcoming EA Sports FC matches

  • HTTP Method: GET
  • Endpoint: /fifa/matches/upcoming

Parameters

NameTypeRequiredDescription
filterFilterOverFifaMatchesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverFifaMatchesOptions to select results within ranges
For more information on ranges, see docs.
sortList[any]Options to sort results
For more information on sorting, see docs.
searchSearchOverFifaMatchesOptions to search results
For more information on searching, see docs.
pagePagePagination in the form of page=2 or page[size]=30&page[number]=2
per_pageintEquivalent to page[size]

Return Type

List[Match]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverFifaMatches, RangeOverFifaMatches, SearchOverFifaMatches

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverFifaMatches(
begin_at=[
"laboris elit"
],
detailed_stats=False,
draw=False,
end_at=[
"ad enim incidi"
],
finished=True,
forfeit=False,
future=False,
id_=[
2
],
league_id=[
6
],
match_type=[
"all_games_played"
],
modified_at=[
"elit "
],
name=[
"laborum do "
],
not_started=True,
number_of_games=[
9
],
opponent_id=[
10
],
opponents_filled=False,
past=False,
running=False,
scheduled_at=[
"dolor cupida"
],
serie_id=[
9
],
slug=[
"5y-BKFQ "
],
status=[
"canceled"
],
tournament_id=[
5
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
10
],
videogame_version=[
"5793643.972"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverFifaMatches(
begin_at=[
"labore ea p"
],
detailed_stats=[
True
],
draw=[
True
],
end_at=[
"con"
],
forfeit=[
False
],
id_=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolore"
],
name=[
"id deserunt "
],
number_of_games=[
0
],
scheduled_at=[
"al"
],
slug=[
"AH"
],
status=[
"canceled"
],
tournament_id=[
1
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverFifaMatches(
match_type="all_games_played",
name="dolore ci",
slug="L",
status="canceled",
winner_type="Player"
)
page=1

result = sdk.ea_sports_fc_matches.get_fifa_matches_upcoming(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

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