Basketball Stats API
Basketball efficiency-stats maths as an API, computed locally and deterministically — the shooting-efficiency and box-score numbers an analyst, coach or sports app rates a performance by. The true-shooting endpoint folds twos, threes and free throws into one number: TS% = points ÷ (2 × (field-goal attempts + 0.44 × free-throw attempts)) × 100, where the 0.44 approximates how many possessions a free-throw trip really uses — 25 points on 18 field goals and 6 free throws is about 60.6 %, against a league average near 56–58 %. The effective-field-goal endpoint credits a three for being worth 50 % more than a two: eFG% = (field goals made + 0.5 × threes made) ÷ field-goal attempts × 100, so 9 makes including 3 threes on 18 attempts is 58.3 % versus a raw 50 %, the gap being the value of the long ball. The game-score endpoint computes John Hollinger's Game Score, a single-game productivity rating scaled like points — PTS + 0.4·FGM − 0.7·FGA − 0.4·(FTA−FTM) + 0.7·ORB + 0.3·DRB + STL + 0.7·AST + 0.7·BLK − 0.4·PF − TOV — where about 10 is an average game, 20+ excellent and 40+ historic, rewarding efficient scoring and all-round play while docking misses and turnovers. Everything is computed locally and deterministically, so it is instant and private. Ideal for basketball analytics and box-score tools, fantasy and commentary apps, and sports calculators. Pure local computation — no key, no third-party service, instant. 3 compute endpoints. For baseball stats use a baseball API; for cricket a cricket API.
api.oanor.com/basketball-api
