Dallas Mavericks

Coach: Dusty May
Arena: American Airlines Center
Conference: Western

7-5Record

10thWestern

L1Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
32	Cooper Flagg	F	6-9	11	33.5	24.6	6.9	6.5	49.5	30.0
11	Kyrie Irving	G	6-2	10	30.2	21.6	3.2	4.3	47.9	39.5
25	P.J. Washington	F	6-7	12	32.3	14.3	7.3	1.1	41.8	35.1
3	Naji Marshall	F	6-6	9	24.6	11.3	2.8	4.4	47.1	28.6
21	Daniel Gafford	F	6-10	12	21.6	9.1	5.3	1.9	70.5	100.0
34	Santi Aldama	F	7-0	4	14.3	8.3	4.0	0.8	46.2	30.8
10	Zaccharie Risacher	F	6-8	12	24.3	8.3	5.1	1.5	42.6	29.5
1	Walter Clayton Jr.	G	6-4	11	17.1	7.0	3.0	3.5	42.6	37.1
14	Morez Johnson Jr.	F	6-9	11	16.7	6.9	4.8	1.2	48.3	20.0
8	Marcus Sasser	G	6-1	10	15.7	5.6	1.1	1.7	43.8	32.1
0	Max Christie	G	6-5	11	18.6	5.3	2.9	1.2	33.3	27.3
55	Sergio de Larrea	F	6-7	4	11.8	5.3	2.0	1.3	50.0	60.0
16	Caleb Martin	F	6-5	8	18.8	4.0	2.3	1.8	46.2	46.2
9	Jett Howard	G	6-8	6	2.8	2.5	0.2	0.0	45.5	37.5
30	Moussa Cisse	C	6-11	8	3.8	1.5	0.8	0.1	66.7	–
33	Tobi Lawal	F	6-8	7	4.0	1.3	1.0	0.3	44.4	25.0
2	Dereck Lively II	C	7-1	0	–	–	–	–	–	–
13	Tarik Biberovic	F	6-7	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 Dallas Mavericks is 24 and the slug is dallas-mavericks. /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/dallas-mavericks", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/24/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/24/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, 11:33 AM ET