New York Knicks

Coach: Mike Brown
Arena: Madison Square Garden
Conference: Eastern

6-5Record

5thEastern

L1Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
11	Jalen Brunson	G	6-2	11	33.5	26.0	3.1	5.2	43.0	36.7
32	Karl-Anthony Towns	C	7-0	11	31.3	20.9	13.5	3.5	55.0	39.6
8	OG Anunoby	F	6-7	11	32.8	16.5	5.4	2.4	38.8	33.3
44	Landry Shamet	G	6-5	11	25.8	9.6	1.6	2.1	46.2	42.1
3	Josh Hart	G	6-5	8	31.0	8.3	6.9	3.8	38.5	31.7
2	Miles McBride	G	6-2	11	18.9	7.9	1.5	1.2	44.8	44.2
00	Jordan Clarkson	G	6-5	9	10.4	6.0	1.8	0.6	51.1	60.0
25	Mikal Bridges	G	6-6	11	24.4	5.9	3.2	2.1	32.9	26.5
0	Andre Drummond	C	6-11	11	13.5	4.3	8.1	1.4	41.7	0.0
99	Dalton Knecht	F	6-6	3	9.7	4.3	2.3	0.3	62.5	50.0
13	Tyler Kolek	G	6-2	9	12.8	3.4	1.8	4.9	42.9	31.3
4	Pacome Dadiet	F	6-9	4	4.0	3.0	0.8	0.0	55.6	25.0
51	Mohamed Diawara	F	6-9	6	11.8	2.8	2.2	1.7	31.6	14.3
5	Jose Alvarado	G	6-0	5	10.2	2.0	1.2	1.6	26.7	25.0
35	James Wiseman	C	6-11	5	5.0	1.6	2.4	0.0	40.0	–
14	Jaden Akins	G	6-4	2	1.0	0.0	0.0	0.0	–	–
55	Tyler Nickel	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 New York Knicks is 1 and the slug is new-york-knicks. /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/new-york-knicks", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/1/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/1/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, 11:59 AM ET