Atlanta Hawks

Coach: Quin Snyder
Arena: State Farm Arena
Conference: Eastern

7-5Record

4thEastern

L1Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
7	Nickeil Alexander-Walker	G	6-5	12	30.9	21.9	3.2	2.6	41.7	37.6
1	Jalen Johnson	F	6-8	9	33.7	19.2	8.6	7.3	44.9	20.5
2	Aaron Wiggins	G	6-5	12	26.0	14.9	3.7	2.4	46.3	41.9
17	Onyeka Okongwu	F	6-10	12	29.6	13.7	8.2	2.8	48.8	32.7
3	CJ McCollum	G	6-3	12	25.6	13.6	2.8	3.9	41.4	35.5
5	Dyson Daniels	G	6-7	12	30.3	9.8	7.2	5.7	48.1	12.5
0	Luguentz Dort	G	6-4	12	24.8	9.3	3.3	1.8	36.6	35.0
4	Kingston Flemings	G	6-3	11	21.9	8.5	2.6	4.3	52.1	40.9
24	Corey Kispert	F	6-6	6	9.7	7.7	0.7	0.7	60.7	52.6
31	Jock Landale	C	6-11	8	15.1	6.1	5.0	1.9	45.2	22.2
20	Zuby Ejiofor	F	6-8	7	11.1	4.9	3.0	1.3	58.3	44.4
10	RayJ Dennis	G	6-2	1	8.0	4.0	2.0	2.0	50.0	0.0
14	Asa Newell	F	6-11	5	11.0	3.6	2.6	1.0	46.7	25.0
8	Dorian Finney-Smith	F	6-7	3	4.0	1.0	0.7	0.3	33.3	33.3
13	Henri Veesaar	C	7-0	0	–	–	–	–	–	–
22	Jalen Wilson	F	6-6	0	–	–	–	–	–	–
00	Keshon Gilbert	G	6-4	0	–	–	–	–	–	–
18	Mouhamed Gueye	F	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 Atlanta Hawks is 19 and the slug is atlanta-hawks. /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/atlanta-hawks", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/19/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/19/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