San Antonio Spurs

Coach: Mitch Johnson
Arena: Frost Bank Center
Conference: Western

10-2Record

2ndWestern

W10Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
1	Victor Wembanyama	F	7-4	12	30.0	30.3	11.7	2.8	54.3	32.4
2	Dylan Harper	G	6-5	12	31.9	18.0	5.4	4.8	49.7	35.0
4	De'Aaron Fox	G	6-3	12	29.8	14.2	4.3	6.2	51.4	35.1
5	Stephon Castle	G	6-6	12	29.0	14.0	5.8	5.0	39.2	31.5
24	Devin Vassell	G	6-5	10	30.4	11.9	3.8	3.1	40.6	35.6
30	Julian Champagnie	F	6-7	12	26.2	10.3	3.7	1.4	45.5	43.6
3	Keldon Johnson	F	6-6	12	24.0	8.0	5.7	2.3	44.6	14.3
40	Harrison Barnes	F	6-8	10	13.8	5.5	0.9	0.0	42.1	37.9
11	Carter Bryant	F	6-7	11	10.5	3.7	0.7	0.6	37.8	37.0
7	Luke Kornet	C	7-1	12	14.9	3.4	4.2	1.0	46.9	–
17	Ja'Kobi Gillespie	G	6-1	2	2.0	2.5	0.0	0.0	50.0	33.3
10	Tarris Reed Jr.	C	6-10	8	5.4	2.0	2.8	0.3	58.3	–
0	Jordan McLaughlin	G	6-0	7	7.3	1.9	1.1	1.1	23.5	20.0
25	David Jones Garcia	F	6-4	4	3.5	1.0	0.0	0.0	12.5	0.0
15	Maliq Brown	F	6-9	1	1.0	0.0	0.0	1.0	–	–
22	Jayden Quaintance	F	6-10	0	–	–	–	–	–	–
23	Tobias Harris	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 San Antonio Spurs is 22 and the slug is san-antonio-spurs. /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/san-antonio-spurs", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/22/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/22/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, 12:01 PM ET