ValorantMatchesService
A list of all methods in the ValorantMatchesService
service. Click on the method name to view detailed information about that method.
Methods | Description |
---|---|
get_valorant_matches | List matches for the Valorant videogame |
get_valorant_matches_past | List past Valorant matches |
get_valorant_matches_running | List running Valorant matches |
get_valorant_matches_upcoming | List upcoming Valorant matches |
get_valorant_matches
List matches for the Valorant videogame
- HTTP Method:
GET
- Endpoint:
/valorant/matches
Parameters
Name | Type | Required | Description |
---|---|---|---|
filter | FilterOverValorantMatches | ❌ | Options to filter results. String fields are case sensitive For more information on filtering, see docs. |
range | RangeOverValorantMatches | ❌ | Options to select results within ranges For more information on ranges, see docs. |
sort | List[any] | ❌ | Options to sort results For more information on sorting, see docs. |
search | SearchOverValorantMatches | ❌ | Options to search results For more information on searching, see docs. |
page | Page | ❌ | Pagination in the form of page=2 or page[size]=30&page[number]=2 |
per_page | int | ❌ | Equivalent to page[size] |
Return Type
List[Match]
Example Usage Code Snippet
from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantMatches, RangeOverValorantMatches, SearchOverValorantMatches
sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverValorantMatches(
begin_at=[
"dolor"
],
detailed_stats=True,
draw=True,
end_at=[
"ex"
],
finished=True,
forfeit=True,
future=True,
id_=[
9
],
league_id=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolor velit"
],
name=[
"minim"
],
not_started=False,
number_of_games=[
8
],
opponent_id=[
10
],
opponents_filled=True,
past=False,
running=False,
scheduled_at=[
"repre"
],
serie_id=[
1
],
slug=[
"P"
],
status=[
"canceled"
],
tournament_id=[
3
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
5
],
videogame_version=[
"848.5017114648.16441010106"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverValorantMatches(
begin_at=[
"off"
],
detailed_stats=[
False
],
draw=[
False
],
end_at=[
"f"
],
forfeit=[
False
],
id_=[
8
],
match_type=[
"all_games_played"
],
modified_at=[
"adipisicin"
],
name=[
"elit dolore in"
],
number_of_games=[
4
],
scheduled_at=[
"sunt s"
],
slug=[
"PUIjB6P_Y"
],
status=[
"canceled"
],
tournament_id=[
3
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverValorantMatches(
match_type="all_games_played",
name="laboris ",
slug="vBwZ20H7NVH",
status="canceled",
winner_type="Player"
)
page=1
result = sdk.valorant_matches.get_valorant_matches(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)
print(result)
get_valorant_matches_past
List past Valorant matches
- HTTP Method:
GET
- Endpoint:
/valorant/matches/past
Parameters
Name | Type | Required | Description |
---|---|---|---|
filter | FilterOverValorantMatches | ❌ | Options to filter results. String fields are case sensitive For more information on filtering, see docs. |
range | RangeOverValorantMatches | ❌ | Options to select results within ranges For more information on ranges, see docs. |
sort | List[any] | ❌ | Options to sort results For more information on sorting, see docs. |
search | SearchOverValorantMatches | ❌ | Options to search results For more information on searching, see docs. |
page | Page | ❌ | Pagination in the form of page=2 or page[size]=30&page[number]=2 |
per_page | int | ❌ | Equivalent to page[size] |
Return Type
List[Match]
Example Usage Code Snippet
from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantMatches, RangeOverValorantMatches, SearchOverValorantMatches
sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverValorantMatches(
begin_at=[
"dolor"
],
detailed_stats=True,
draw=True,
end_at=[
"ex"
],
finished=True,
forfeit=True,
future=True,
id_=[
9
],
league_id=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolor velit"
],
name=[
"minim"
],
not_started=False,
number_of_games=[
8
],
opponent_id=[
10
],
opponents_filled=True,
past=False,
running=False,
scheduled_at=[
"repre"
],
serie_id=[
1
],
slug=[
"P"
],
status=[
"canceled"
],
tournament_id=[
3
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
5
],
videogame_version=[
"848.5017114648.16441010106"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverValorantMatches(
begin_at=[
"off"
],
detailed_stats=[
False
],
draw=[
False
],
end_at=[
"f"
],
forfeit=[
False
],
id_=[
8
],
match_type=[
"all_games_played"
],
modified_at=[
"adipisicin"
],
name=[
"elit dolore in"
],
number_of_games=[
4
],
scheduled_at=[
"sunt s"
],
slug=[
"PUIjB6P_Y"
],
status=[
"canceled"
],
tournament_id=[
3
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverValorantMatches(
match_type="all_games_played",
name="laboris ",
slug="vBwZ20H7NVH",
status="canceled",
winner_type="Player"
)
page=1
result = sdk.valorant_matches.get_valorant_matches_past(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)
print(result)
get_valorant_matches_running
List running Valorant matches
- HTTP Method:
GET
- Endpoint:
/valorant/matches/running
Parameters
Name | Type | Required | Description |
---|---|---|---|
filter | FilterOverValorantMatches | ❌ | Options to filter results. String fields are case sensitive For more information on filtering, see docs. |
range | RangeOverValorantMatches | ❌ | Options to select results within ranges For more information on ranges, see docs. |
sort | List[any] | ❌ | Options to sort results For more information on sorting, see docs. |
search | SearchOverValorantMatches | ❌ | Options to search results For more information on searching, see docs. |
page | Page | ❌ | Pagination in the form of page=2 or page[size]=30&page[number]=2 |
per_page | int | ❌ | Equivalent to page[size] |
Return Type
List[Match]
Example Usage Code Snippet
from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantMatches, RangeOverValorantMatches, SearchOverValorantMatches
sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverValorantMatches(
begin_at=[
"dolor"
],
detailed_stats=True,
draw=True,
end_at=[
"ex"
],
finished=True,
forfeit=True,
future=True,
id_=[
9
],
league_id=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolor velit"
],
name=[
"minim"
],
not_started=False,
number_of_games=[
8
],
opponent_id=[
10
],
opponents_filled=True,
past=False,
running=False,
scheduled_at=[
"repre"
],
serie_id=[
1
],
slug=[
"P"
],
status=[
"canceled"
],
tournament_id=[
3
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
5
],
videogame_version=[
"848.5017114648.16441010106"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverValorantMatches(
begin_at=[
"off"
],
detailed_stats=[
False
],
draw=[
False
],
end_at=[
"f"
],
forfeit=[
False
],
id_=[
8
],
match_type=[
"all_games_played"
],
modified_at=[
"adipisicin"
],
name=[
"elit dolore in"
],
number_of_games=[
4
],
scheduled_at=[
"sunt s"
],
slug=[
"PUIjB6P_Y"
],
status=[
"canceled"
],
tournament_id=[
3
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverValorantMatches(
match_type="all_games_played",
name="laboris ",
slug="vBwZ20H7NVH",
status="canceled",
winner_type="Player"
)
page=1
result = sdk.valorant_matches.get_valorant_matches_running(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)
print(result)
get_valorant_matches_upcoming
List upcoming Valorant matches
- HTTP Method:
GET
- Endpoint:
/valorant/matches/upcoming
Parameters
Name | Type | Required | Description |
---|---|---|---|
filter | FilterOverValorantMatches | ❌ | Options to filter results. String fields are case sensitive For more information on filtering, see docs. |
range | RangeOverValorantMatches | ❌ | Options to select results within ranges For more information on ranges, see docs. |
sort | List[any] | ❌ | Options to sort results For more information on sorting, see docs. |
search | SearchOverValorantMatches | ❌ | Options to search results For more information on searching, see docs. |
page | Page | ❌ | Pagination in the form of page=2 or page[size]=30&page[number]=2 |
per_page | int | ❌ | Equivalent to page[size] |
Return Type
List[Match]
Example Usage Code Snippet
from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverValorantMatches, RangeOverValorantMatches, SearchOverValorantMatches
sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverValorantMatches(
begin_at=[
"dolor"
],
detailed_stats=True,
draw=True,
end_at=[
"ex"
],
finished=True,
forfeit=True,
future=True,
id_=[
9
],
league_id=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"dolor velit"
],
name=[
"minim"
],
not_started=False,
number_of_games=[
8
],
opponent_id=[
10
],
opponents_filled=True,
past=False,
running=False,
scheduled_at=[
"repre"
],
serie_id=[
1
],
slug=[
"P"
],
status=[
"canceled"
],
tournament_id=[
3
],
unscheduled=True,
videogame=[
1
],
videogame_title=[
5
],
videogame_version=[
"848.5017114648.16441010106"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverValorantMatches(
begin_at=[
"off"
],
detailed_stats=[
False
],
draw=[
False
],
end_at=[
"f"
],
forfeit=[
False
],
id_=[
8
],
match_type=[
"all_games_played"
],
modified_at=[
"adipisicin"
],
name=[
"elit dolore in"
],
number_of_games=[
4
],
scheduled_at=[
"sunt s"
],
slug=[
"PUIjB6P_Y"
],
status=[
"canceled"
],
tournament_id=[
3
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverValorantMatches(
match_type="all_games_played",
name="laboris ",
slug="vBwZ20H7NVH",
status="canceled",
winner_type="Player"
)
page=1
result = sdk.valorant_matches.get_valorant_matches_upcoming(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)
print(result)
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