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PlayersService

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

MethodsDescription
get_playersList players
get_players_player_id_or_slugGet a single player by ID or by slug
get_players_player_id_or_slug_leaguesList leagues for the given player. Only leagues from the player's current videogame.
get_players_player_id_or_slug_matchesList matches for the given player. Only matches from the player's current videogame.
get_players_player_id_or_slug_seriesList series for the given player. Only series from the player's current videogame.
get_players_player_id_or_slug_tournamentsList tournaments for the given player. Only tournaments from the player's current videogame.

get_players

List players

  • HTTP Method: GET
  • Endpoint: /players

Parameters

NameTypeRequiredDescription
filterFilterOverPlayersOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverPlayersOptions 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.
searchSearchOverPlayersOptions 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[Player]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverPlayers, RangeOverPlayers, SearchOverPlayers

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
filter=FilterOverPlayers(
active=True,
birthday=[
"adipisicin"
],
first_name=[
"culpa"
],
id_=[
6
],
last_name=[
"consec"
],
modified_at=[
"ea"
],
name=[
"cupidat"
],
nationality=[
"nostrud"
],
role=[
"ipsum anim"
],
slug=[
"90dzb1"
],
team_id=[
3
],
videogame_id=[
1
]
)
range=RangeOverPlayers(
birthday=[
"irure "
],
first_name=[
"tempor"
],
id_=[
1
],
last_name=[
"enim officia no"
],
modified_at=[
"aliqua s"
],
name=[
"enim ipsum i"
],
nationality=[
"dodolore ve"
],
role=[
"volupta"
],
slug=[
"tnv0"
]
)
sort=[
""
]
search=SearchOverPlayers(
birthday="minim dolor qui",
first_name="enim sint proid",
last_name="exercitatio",
name="et sed proiden",
nationality="elit sit",
role="magna ",
slug="5ts"
)
page=1

result = sdk.players.get_players(
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_players_player_id_or_slug

Get a single player by ID or by slug

  • HTTP Method: GET
  • Endpoint: /players/{player_id_or_slug}

Parameters

NameTypeRequiredDescription
player_id_or_slugPlayerIdOrSlugA player ID or slug

Return Type

Player

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
player_id_or_slug=9

result = sdk.players.get_players_player_id_or_slug(player_id_or_slug=player_id_or_slug)

print(result)

get_players_player_id_or_slug_leagues

List leagues for the given player. Only leagues from the player's current videogame.

  • HTTP Method: GET
  • Endpoint: /players/{player_id_or_slug}/leagues

Parameters

NameTypeRequiredDescription
player_id_or_slugPlayerIdOrSlugA player ID or slug
filterFilterOverLeaguesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverLeaguesOptions 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.
searchSearchOverLeaguesOptions 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[League]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverLeagues, RangeOverLeagues, SearchOverLeagues

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
player_id_or_slug=9
filter=FilterOverLeagues(
id_=[
7
],
modified_at=[
"offici"
],
name=[
"ad ut"
],
slug=[
"p_"
],
url=[
"esse aliqu"
]
)
range=RangeOverLeagues(
id_=[
10
],
modified_at=[
"ut nulla"
],
name=[
"ea mol"
],
slug=[
"pmjvmw-84d"
],
url=[
"ea aliquip"
]
)
sort=[
""
]
search=SearchOverLeagues(
name="Duis dolo",
slug="-teig",
url="adipisicing"
)
page=1

result = sdk.players.get_players_player_id_or_slug_leagues(
player_id_or_slug=player_id_or_slug,
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_players_player_id_or_slug_matches

List matches for the given player. Only matches from the player's current videogame.

  • HTTP Method: GET
  • Endpoint: /players/{player_id_or_slug}/matches

Parameters

NameTypeRequiredDescription
player_id_or_slugPlayerIdOrSlugA player ID or slug
filterFilterOverMatchesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverMatchesOptions 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.
searchSearchOverMatchesOptions 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 FilterOverMatches, RangeOverMatches, SearchOverMatches

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
player_id_or_slug=9
filter=FilterOverMatches(
begin_at=[
"ani"
],
detailed_stats=False,
draw=False,
end_at=[
"ad ut com"
],
finished=False,
forfeit=False,
future=True,
id_=[
3
],
league_id=[
9
],
match_type=[
"all_games_played"
],
modified_at=[
"aute sit"
],
name=[
"exercitation te"
],
not_started=False,
number_of_games=[
8
],
opponent_id=[
10
],
opponents_filled=True,
past=False,
running=True,
scheduled_at=[
"esse aute n"
],
serie_id=[
10
],
slug=[
"HiGqjR9"
],
status=[
"canceled"
],
tournament_id=[
3
],
unscheduled=False,
videogame=[
1
],
videogame_title=[
6
],
videogame_version=[
"1125897835.45"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverMatches(
begin_at=[
"al"
],
detailed_stats=[
False
],
draw=[
False
],
end_at=[
"do d"
],
forfeit=[
False
],
id_=[
6
],
match_type=[
"all_games_played"
],
modified_at=[
"dolore ve"
],
name=[
"dolore "
],
number_of_games=[
10
],
scheduled_at=[
"nisi sed aut"
],
slug=[
"bAjOZ"
],
status=[
"canceled"
],
tournament_id=[
3
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverMatches(
match_type="all_games_played",
name="nulla veniam ",
slug="WfL1ZPQ",
status="canceled",
winner_type="Player"
)
page=1

result = sdk.players.get_players_player_id_or_slug_matches(
player_id_or_slug=player_id_or_slug,
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_players_player_id_or_slug_series

List series for the given player. Only series from the player's current videogame.

  • HTTP Method: GET
  • Endpoint: /players/{player_id_or_slug}/series

Parameters

NameTypeRequiredDescription
player_id_or_slugPlayerIdOrSlugA player ID or slug
filterFilterOverSeriesOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverSeriesOptions 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.
searchSearchOverSeriesOptions 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[Serie]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverSeries, RangeOverSeries, SearchOverSeries

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
player_id_or_slug=9
filter=FilterOverSeries(
begin_at=[
"sunt cillum dol"
],
end_at=[
"dolor"
],
id_=[
5
],
league_id=[
7
],
modified_at=[
"deserunt"
],
name=[
"laboris"
],
season=[
"proident"
],
slug=[
"_9"
],
videogame_title=[
7
],
winner_id=[
7
],
winner_type=[
"Player"
],
year=[
None
]
)
range=RangeOverSeries(
begin_at=[
"sint c"
],
end_at=[
"ex dolore tempo"
],
id_=[
6
],
league_id=[
6
],
modified_at=[
"lab"
],
name=[
"animea labore e"
],
season=[
"ipsum i"
],
slug=[
"8"
],
winner_id=[
7
],
winner_type=[
"Player"
],
year=[
None
]
)
sort=[
""
]
search=SearchOverSeries(
name="fugia",
season="aute al",
slug="cc3u_",
winner_type="Player"
)
page=1

result = sdk.players.get_players_player_id_or_slug_series(
player_id_or_slug=player_id_or_slug,
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

get_players_player_id_or_slug_tournaments

List tournaments for the given player. Only tournaments from the player's current videogame.

  • HTTP Method: GET
  • Endpoint: /players/{player_id_or_slug}/tournaments

Parameters

NameTypeRequiredDescription
player_id_or_slugPlayerIdOrSlugA player ID or slug
filterFilterOverShortTournamentsOptions to filter results. String fields are case sensitive
For more information on filtering, see docs.
rangeRangeOverShortTournamentsOptions 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.
searchSearchOverShortTournamentsOptions 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[ShortTournament]

Example Usage Code Snippet

from pandascore_client import PandascoreClient, Environment
from pandascore_client.models import FilterOverShortTournaments, RangeOverShortTournaments, SearchOverShortTournaments

sdk = PandascoreClient(
access_token="YOUR_ACCESS_TOKEN",
base_url=Environment.DEFAULT.value,
timeout=10000
)
player_id_or_slug=9
filter=FilterOverShortTournaments(
begin_at=[
"pariat"
],
detailed_stats=True,
end_at=[
"eli"
],
has_bracket=False,
id_=[
4
],
live_supported=False,
modified_at=[
"cillu"
],
name=[
"Excepteur do"
],
prizepool=[
"in ut veniam "
],
serie_id=[
10
],
slug=[
"z160_"
],
tier=[
"a"
],
videogame_title=[
5
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
range=RangeOverShortTournaments(
begin_at=[
"et"
],
detailed_stats=[
True
],
end_at=[
"commo"
],
has_bracket=[
False
],
id_=[
1
],
modified_at=[
"nul"
],
name=[
"enim "
],
prizepool=[
"qui ull"
],
serie_id=[
3
],
slug=[
"vyokv"
],
tier=[
"a"
],
winner_id=[
7
],
winner_type=[
"Player"
]
)
sort=[
""
]
search=SearchOverShortTournaments(
name="sunt minim",
prizepool="utid magna es",
slug="50l9n",
tier="a",
winner_type="Player"
)
page=1

result = sdk.players.get_players_player_id_or_slug_tournaments(
player_id_or_slug=player_id_or_slug,
filter=filter,
range=range,
sort=sort,
search=search,
page=page,
per_page=50
)

print(result)

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