SportAPINBAGet SportAPI Key
96–120Final

Oklahoma City Thunder vs Dallas Mavericks Box Score

Wednesday, October 28, 2026 · 9:30 PM ET · American Airlines Center · Attendance 18,111

Score by quarter

Team1234T
OKC3029221596
DAL33322926120

Box score

Oklahoma City Thunder

PlayerMinPtsRebAstStlBlkTOFG3PTFT+/-
Jared McCain G2910440033-130-64-5-13
Ajay Mitchell G28294321212-202-53-3+4
Shai Gilgeous-Alexander G2821621017-191-66-6-21
Isaiah Hartenstein C26101430024-60-02-2-12
Kenrich Williams G177300013-71-30-0-19
Bennett Stirtz G288030003-51-31-2-14
Josh Dix G242201011-80-60-0-20
Aday Mara C216310232-40-02-2-8
Jaylin Williams F200510000-20-20-0+3
Brooks Barnhizer F143200001-30-11-3-16
Micah Peavy G50000000-00-00-0-4

Did not play: Thomas Sorber (Coach's decision)

Dallas Mavericks

PlayerMinPtsRebAstStlBlkTOFG3PTFT+/-
Cooper Flagg F33265800010-232-84-4+12
P.J. Washington F2718900117-162-72-2+2
Kyrie Irving G2715242216-143-80-0+25
Daniel Gafford F2771120223-41-10-0+14
Max Christie G2211520013-83-72-2+14
Zaccharie Risacher F2913611115-62-31-2+16
Marcus Sasser G2210140014-91-31-1+11
Morez Johnson Jr. F1810630014-60-02-2+7
Walter Clayton Jr. G150250000-40-40-2+11
Caleb Martin F1410201014-62-40-0+8
Tobi Lawal F30010000-00-00-00
Jett Howard G30000000-00-00-00
Moussa Cisse C30000000-10-00-00

Starters are marked with a bar. Min: minutes, TO: turnovers, FG, 3PT and FT: made-attempted.

Get this box score from the API

Every game has an id, and this one is 1535. /api/basketball/games/1535/players returns one line per player: minutes, points, shooting, rebounds, assists, steals, blocks, turnovers, fouls and plus-minus. Players who didn't play have the reason in dnp. The team totals are at /api/basketball/games/1535.

box_score.py
import requests

API_KEY = "YOUR_API_KEY"
answer = requests.get(
    "https://sportapi.ai/api/basketball/games/1535/players",
    headers={"X-API-Key": API_KEY},
    timeout=20,
).json()

game = answer["game"]
print(game["away"]["name"], game["away"]["score"], "@", game["home"]["name"], game["home"]["score"])
for side in ("away", "home"):
    print(game[side]["name"])
    for row in answer["data"][side]:
        if row["dnp"]:
            continue
        print(f'  {row["player"]["name"]:<24} {row["minutes"]:>2} min {row["pts"]:>3} pts {row["reb"]:>2} reb {row["ast"]:>2} ast')

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.