Boston Celtics

Coach: Joe Mazzulla
Arena: TD Garden
Conference: Eastern

10-2Record

1stEastern

W5Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
0	Jayson Tatum	F	6-8	11	34.0	26.3	6.1	7.5	41.1	30.6
13	Paul George	F	6-8	10	30.0	22.0	5.2	3.8	48.8	44.0
11	Payton Pritchard	G	6-2	12	27.2	13.3	3.3	3.7	41.1	36.5
9	Derrick White	G	6-4	12	29.8	12.8	2.9	5.2	43.8	33.3
88	Neemias Queta	C	7-0	12	22.5	9.2	6.8	1.8	55.6	75.0
30	Sam Hauser	F	6-8	12	21.0	8.1	3.6	1.1	45.9	43.5
52	Luka Garza	C	6-10	12	12.3	6.4	3.2	1.3	45.3	50.0
55	Baylor Scheierman	G	6-6	12	20.4	6.1	4.1	1.4	44.8	47.2
4	Mitchell Robinson	C	7-0	11	17.8	5.6	5.4	0.7	63.6	–
27	Jordan Walsh	G	6-7	12	16.0	4.5	3.4	0.7	41.2	26.7
28	Hugo Gonzalez	G	6-6	12	12.9	4.0	2.0	0.6	44.7	22.7
45	Mike Conley	G	6-1	4	8.0	3.0	0.8	0.5	66.7	66.7
12	Chris Cenac Jr.	F	6-11	3	3.0	2.7	1.0	0.0	75.0	50.0
8	Ron Harper Jr.	G	6-5	6	5.5	1.3	0.5	0.5	25.0	25.0
20	Dillon Mitchell	F	6-8	1	2.0	0.0	0.0	0.0	–	–
77	Amari Williams	F	7-0	0	–	–	–	–	–	–
99	Devin Carter	G	6-2	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 Boston Celtics is 30 and the slug is boston-celtics. /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/boston-celtics", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/30/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/30/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, 11:23 AM ET