Portland Trail Blazers

Coach: Micah Nori
Arena: Moda Center
Conference: Western

8-3Record

5thWestern

W2Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
8	Deni Avdija	F	6-8	11	32.5	23.0	6.1	6.5	47.4	33.9
0	Damian Lillard	G	6-2	11	29.2	19.8	3.2	4.2	42.7	33.3
1	Ja Morant	G	6-2	4	26.0	15.8	2.5	5.5	54.2	40.0
5	Jrue Holiday	G	6-4	11	26.2	13.4	3.4	3.9	50.0	44.4
33	Toumani Camara	F	6-7	11	28.5	13.1	3.5	1.5	50.0	43.2
23	Donovan Clingan	C	7-2	11	25.2	10.8	10.4	1.5	57.3	46.2
00	Scoot Henderson	G	6-3	11	22.2	8.4	2.1	1.5	31.5	22.7
91	Sidy Cissoko	G	6-6	11	22.9	8.3	3.5	2.0	47.5	36.6
35	Robert Williams III	C	6-9	9	16.3	7.6	6.6	0.9	67.4	–
11	Chris Youngblood	G	6-4	6	13.5	6.0	1.3	1.0	37.0	34.8
2	John Tonje	F	6-5	1	5.0	5.0	0.0	0.0	50.0	50.0
16	Yang Hansen	C	7-1	7	9.3	4.0	3.0	0.3	47.1	55.6
27	Vit Krejci	G	6-8	7	10.1	2.7	1.6	1.0	30.0	20.0
9	Micah Potter	C	6-9	7	6.6	2.6	1.9	0.1	50.0	33.3
29	Jayson Kent	G	6-8	2	9.5	2.0	1.0	0.5	20.0	0.0
10	Branden Carlson	C	7-0	6	8.2	1.7	2.2	0.3	45.5	0.0
17	Shaedon Sharpe	G	6-5	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 Portland Trail Blazers is 31 and the slug is portland-trail-blazers. /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/portland-trail-blazers", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/31/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/31/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, 11:58 AM ET