LA Clippers

Coach: Tyronn Lue
Arena: Intuit Dome
Conference: Western

2-8Record

13thWestern

L1Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
10	Darius Garland	G	6-1	10	32.7	20.4	1.8	6.9	46.7	35.3
28	Rui Hachimura	F	6-8	8	29.5	14.4	5.9	1.6	38.7	36.7
11	Brook Lopez	C	7-1	10	23.4	13.6	5.2	1.0	57.0	43.3
1	Keaton Wagler	G	6-5	10	23.2	12.2	3.5	3.4	33.3	36.2
5	Derrick Jones Jr.	F	6-6	9	29.2	11.1	4.9	1.4	50.7	47.2
4	Kobe Sanders	G	6-8	10	24.3	9.8	2.9	2.7	41.0	35.4
31	Max Strus	G	6-5	4	21.8	9.8	4.0	4.0	35.9	30.0
8	Kris Dunn	G	6-3	10	28.7	8.5	4.0	4.3	48.4	40.0
23	Isaiah Jackson	F	6-8	9	20.6	8.1	5.9	2.0	58.2	100.0
9	Gradey Dick	G	6-7	10	15.5	7.3	3.0	0.7	50.9	42.1
18	Baba Miller	F	6-11	9	10.3	4.6	2.7	1.0	59.1	40.0
12	Nick Martinelli	F	6-7	5	4.2	3.4	1.4	0.4	63.6	66.7
21	Jalen Pickett	G	6-2	5	5.2	2.0	0.8	1.0	50.0	66.7
24	Cam Christie	G	6-5	6	4.8	1.2	0.3	0.2	18.2	25.0
20	Blake Wesley	G	6-4	2	4.5	1.0	2.0	0.0	0.0	0.0
3	Bradley Beal	G	6-4	0	–	–	–	–	–	–
7	Brandon Ingram	F	6-8	0	–	–	–	–	–	–
22	Jordan Miller	G	6-5	0	–	–	–	–	–	–
14	Yanic Konan Niederhauser	C	6-11	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 LA Clippers is 33 and the slug is la-clippers. /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/la-clippers", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/33/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/33/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, 11:45 AM ET