Brooklyn Nets

Coach: Jordi Fernandez
Arena: Barclays Center
Conference: Eastern

3-8Record

13thEastern

W1Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
17	Michael Porter Jr.	F	6-10	11	32.5	21.5	7.5	1.3	45.6	37.5
30	Julius Randle	F	6-9	11	33.0	19.7	6.5	5.0	44.3	30.6
0	Mikel Brown Jr.	G	6-5	7	23.3	12.9	2.1	3.9	34.6	31.1
10	Nolan Traore	G	6-3	10	22.1	12.9	2.0	2.6	51.6	46.2
13	Moritz Wagner	C	6-11	11	18.4	10.9	3.2	1.3	57.5	56.5
8	Egor Demin	G	6-8	5	22.0	10.6	2.0	2.4	37.8	37.0
2	Danny Wolf	F	6-11	6	23.7	9.7	6.0	2.2	45.0	45.8
20	Day'Ron Sharpe	C	6-10	11	23.3	8.3	6.8	4.1	52.5	35.7
21	Noah Clowney	F	6-10	11	19.7	6.0	4.3	0.6	42.0	30.8
1	Keon Ellis	G	6-4	10	22.8	5.0	2.0	2.1	36.7	31.3
31	Chaney Johnson	F	6-8	11	18.8	4.7	2.5	1.1	34.7	29.2
00	Josh Minott	F	6-8	8	7.3	3.9	1.9	0.4	39.3	23.8
77	Ben Saraf	G	6-6	1	4.0	2.0	1.0	0.0	100.0	–
4	Drake Powell	G	6-5	4	8.5	2.0	1.0	1.5	75.0	50.0
14	Terance Mann	G	6-6	6	16.0	1.3	1.2	1.5	21.4	20.0
9	Joshua Jefferson	F	6-8	1	4.0	0.0	0.0	0.0	0.0	0.0
16	Grant Nelson	F	6-11	0	–	–	–	–	–	–
34	Tyler Bilodeau	F	6-8	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 Brooklyn Nets is 7 and the slug is brooklyn-nets. /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/brooklyn-nets", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/7/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/7/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