Toronto Raptors

Coach: Darko Rajakovic
Arena: Scotiabank Arena
Conference: Eastern

5-7Record

8thEastern

L3Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
4	Scottie Barnes	F	6-8	8	33.4	23.5	7.6	5.1	47.5	15.4
9	RJ Barrett	F	6-6	12	33.4	21.3	6.7	4.2	46.2	30.2
2	Kawhi Leonard	F	6-6	2	26.0	19.5	7.0	1.5	33.3	28.6
5	Immanuel Quickley	G	6-2	10	31.0	17.6	3.6	5.6	40.0	32.1
14	Ja'Kobe Walter	G	6-4	12	30.3	11.1	4.2	1.9	38.4	33.8
30	Collin Murray-Boyles	F	6-7	11	22.9	10.5	4.5	1.7	47.3	31.8
77	Jamison Battle	F	6-7	12	19.3	9.7	1.5	0.5	48.8	43.3
19	Jakob Poeltl	C	7-0	10	23.9	8.3	6.7	1.3	61.7	–
23	Jamal Shead	G	6-1	12	23.8	6.8	2.1	6.8	32.9	24.4
55	Alijah Martin	G	6-2	11	12.3	6.5	1.8	1.0	65.0	56.5
22	Allen Graves	F	6-8	12	13.3	4.6	2.5	0.7	43.5	29.2
32	Trayce Jackson-Davis	F	6-9	9	7.3	3.1	2.7	0.4	70.6	–
8	Jaden Bradley	G	6-3	9	4.7	1.7	0.6	0.9	42.9	–
12	Kyle Anderson	F	6-8	9	7.6	1.6	1.2	1.6	46.7	–
18	Malachi Smith	G	6-4	2	1.5	0.0	0.0	0.0	0.0	0.0
9	Kevin McCullar Jr.	G	6-6	0	–	–	–	–	–	–
12	Nate Bittle	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 Toronto Raptors is 25 and the slug is toronto-raptors. /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/toronto-raptors", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/25/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/25/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