Miami Heat

Coach: Erik Spoelstra
Arena: Kaseya Center
Conference: Eastern

5-6Record

7thEastern

W2Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
7	Giannis Antetokounmpo	F	6-11	11	32.7	27.7	12.6	5.2	56.9	22.2
13	Bam Adebayo	C	6-9	11	33.2	17.8	8.4	3.3	50.7	17.1
2	Davion Mitchell	G	6-0	11	35.7	16.5	2.0	8.5	49.3	40.3
11	Klay Thompson	G	6-5	11	24.7	14.4	1.5	1.9	42.9	40.8
9	Pelle Larsson	G	6-5	11	29.5	11.4	3.5	3.5	46.8	46.9
22	Andrew Wiggins	F	6-7	11	25.7	8.7	2.7	1.5	42.7	33.3
95	Bobby Portis	F	6-9	11	20.4	6.8	5.8	1.7	36.4	31.8
10	Tim Hardaway Jr.	G	6-5	10	14.7	4.6	1.4	0.6	27.5	23.7
4	Ryan Conwell	G	6-3	9	12.4	4.2	1.2	1.2	34.3	34.6
12	Dru Smith	G	6-2	6	8.5	2.5	0.8	1.3	44.4	50.0
5	Nikola Jovic	F	6-10	8	10.6	2.1	2.4	0.9	30.0	10.0
8	Nick Richards	C	6-11	5	2.0	1.4	0.4	0.2	100.0	100.0
15	Myron Gardner	F	6-5	6	3.3	1.3	1.0	0.3	50.0	0.0
0	Simone Fontecchio	F	6-7	5	4.0	1.2	0.2	0.0	20.0	12.5
16	Keshad Johnson	F	6-6	0	–	–	–	–	–	–
24	Tre Donaldson	G	6-2	0	–	–	–	–	–	–
50	Vladislav Goldin	C	7-0	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 Miami Heat is 9 and the slug is miami-heat. /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/miami-heat", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/9/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/9/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, 11:46 AM ET