Golden State Warriors

Coach: Steve Kerr
Arena: Chase Center
Conference: Western

8-4Record

6thWestern

L1Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
30	Stephen Curry	G	6-2	10	26.5	27.8	3.8	3.9	50.0	45.7
1	Yaxel Lendeborg	F	6-9	12	32.1	21.7	7.3	3.7	51.8	42.6
2	Brandin Podziemski	G	6-4	10	33.5	17.0	5.0	4.2	47.7	38.9
12	Brandon Williams	G	6-1	10	16.2	10.4	2.2	2.3	41.3	30.4
8	De'Anthony Melton	G	6-2	12	22.4	10.1	4.3	2.3	41.1	42.9
32	Georges Niang	F	6-6	12	20.3	8.0	3.1	1.5	45.7	35.6
28	Charles Bassey	C	6-10	10	12.5	7.6	5.7	0.5	66.7	0.0
3	Will Richard	G	6-3	11	17.3	5.5	2.1	0.9	47.8	45.8
15	Gui Santos	F	6-7	9	18.4	5.4	3.9	1.4	41.0	26.7
0	Gary Payton II	G	6-2	10	13.4	5.0	1.6	0.4	46.8	22.2
45	Graham Ike	F	6-9	9	9.2	4.8	2.4	0.9	51.6	66.7
20	Al Horford	C	6-8	10	17.9	4.7	3.6	2.1	39.1	34.4
18	LJ Cryer	G	6-0	9	7.6	4.6	0.3	1.2	41.2	41.7
23	Draymond Green	F	6-6	10	26.8	3.2	4.7	7.6	40.6	27.3
33	Malevy Leons	F	6-9	7	4.7	0.3	1.1	0.0	12.5	0.0
10	Jimmy Butler III	F	6-6	0	–	–	–	–	–	–
7	Kristaps Porzingis	C	7-2	0	–	–	–	–	–	–
4	Moses Moody	G	6-5	0	–	–	–	–	–	–

Per-game averages in the NBA regular season so far. Players without a game have dashes.

Get this team's data from the API

The team ID of the Golden State Warriors is 16 and the slug is golden-state-warriors. /api/basketball/teams/slug/{slug} returns the coach, the arena, the standing and the latest and next games. The roster is at /api/basketball/teams/{id}/roster and every game of the team at /api/basketball/teams/{id}/games, newest first. The averages in the roster table on this page come from each player's profile at /api/basketball/players/slug/{slug}.

team.py

import requests

API_KEY = "YOUR_API_KEY"
session = requests.Session()
session.headers["X-API-Key"] = API_KEY
BASE = "https://sportapi.ai/api/basketball"

team = session.get(f"{BASE}/teams/slug/golden-state-warriors", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/16/roster", timeout=20).json()["data"]
for p in roster:
    print(p["jersey"], p["name"], p["position"], p["height_cm"], "cm")

games = session.get(f"{BASE}/teams/16/games", params={"league": "nba", "limit": 5}, timeout=20).json()["data"]
for g in games:
    print(g["start"], g["away"]["abbreviation"], "@", g["home"]["abbreviation"], g["status"])

The API documentation lists every basketball endpoint. The same key works for the NBA, WNBA, EuroLeague, NCAA and the other leagues, and for football too.

Updated Nov 13, 11:36 AM ET