
Minnesota Timberwolves
- Coach
- Chris Finch
- Arena
- Target Center
- Conference
- Western
9-3Record
3rdWestern
W5Streak
Roster
| No. | Player | Pos | GP | Min | Pts | Reb | Ast |
|---|---|---|---|---|---|---|---|
| 5 | Anthony Edwards | G | 4 | 33.8 | 33.3 | 4.8 | 3.5 |
| 1 | LaMelo Ball | G | 12 | 27.6 | 18.6 | 3.3 | 6.3 |
| 13 | Ayo Dosunmu | G | 12 | 30.8 | 18.1 | 4.6 | 3.8 |
| 3 | Jaden McDaniels | F | 12 | 33.3 | 16.9 | 6.5 | 3.7 |
| 24 | Jonathan Kuminga | F | 12 | 30.1 | 12.4 | 5.6 | 2.9 |
| 4 | Terrence Shannon Jr. | G | 9 | 21.4 | 10.6 | 3.3 | 2.8 |
| 8 | Bones Hyland | G | 12 | 13.2 | 9.8 | 1.4 | 2.9 |
| 27 | Rudy Gobert | C | 11 | 29.4 | 7.9 | 11.5 | 1.4 |
| 19 | Joan Beringer | F | 12 | 16.9 | 6.3 | 6.3 | 0.6 |
| 41 | Trey Lyles | F | 12 | 18.2 | 6.0 | 3.8 | 0.8 |
| 7 | Jaylen Clark | G | 11 | 14.5 | 4.9 | 2.3 | 0.8 |
| 15 | Zyon Pullin | G | 2 | 3.5 | 2.0 | 0.5 | 0.0 |
| 33 | Isaiah Evans | F | 6 | 3.3 | 0.3 | 0.3 | 0.3 |
| 9 | Cody Williams | F | 8 | 3.6 | 0.0 | 0.3 | 0.0 |
| 44 | Rocco Zikarsky | C | 1 | 2.0 | 0.0 | 1.0 | 0.0 |
| 0 | Donte DiVincenzo | G | 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 Minnesota Timberwolves is 12 and the slug is minnesota-timberwolves. /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}.
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/minnesota-timberwolves", timeout=20).json()["data"]
print(team["name"], "- coach", team["coach_name"])
roster = session.get(f"{BASE}/teams/12/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/12/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, 11:57 AM ET