Milwaukee Bucks

Coach: Taylor Jenkins
Arena: Fiserv Forum
Conference: Eastern

1-11Record

15thEastern

L8Streak

Roster

No.	Player	Pos	Ht	GP	Min	Pts	Reb	Ast	FG%	3P%
11	Tyler Herro	G	6-5	11	31.0	21.9	4.4	4.5	45.9	38.8
24	Jaime Jaquez Jr.	F	6-6	12	27.6	16.1	5.7	2.8	47.6	40.4
18	Kyle Kuzma	F	6-8	12	27.0	10.8	5.3	2.6	45.9	31.7
13	Ryan Rollins	G	6-3	12	23.3	10.8	4.7	4.0	39.0	36.8
0	Brayden Burries	G	6-4	12	21.6	9.7	5.2	2.2	42.6	23.8
9	Kel'el Ware	C	7-0	12	17.8	8.5	6.5	0.8	39.2	18.8
15	Nate Ament	F	6-10	10	17.2	7.4	2.6	0.5	47.5	38.5
3	Myles Turner	C	6-11	11	26.9	6.7	5.5	2.7	32.9	25.5
25	Kasparas Jakucionis	G	6-5	12	17.8	6.6	2.2	3.3	41.4	23.3
20	AJ Green	G	6-4	12	18.0	6.5	1.7	1.4	44.1	43.4
5	Gary Trent Jr.	G	6-5	4	5.8	4.3	0.5	0.3	54.5	55.6
21	Ousmane Dieng	F	6-9	9	13.0	4.3	1.3	1.1	42.4	36.8
35	Pete Nance	F	6-9	1	4.0	3.0	1.0	1.0	50.0	0.0
23	Bogoljub Markovic	F	6-11	3	4.3	0.7	1.0	0.3	100.0	–
00	Jericho Sims	C	6-10	8	9.0	0.5	1.1	0.3	40.0	0.0
12	Caris LeVert	G	6-7	0	–	–	–	–	–	–
30	Cormac Ryan	G	6-5	0	–	–	–	–	–	–
19	Kam Jones	G	6-4	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 Milwaukee Bucks is 17 and the slug is milwaukee-bucks. /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/milwaukee-bucks", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])

roster = session.get(f"{BASE}/teams/17/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/17/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, 11:46 AM ET