players

How well the NBA projection models track one player

Per-player reconciliation of our pre-game projections (points, rebounds, assists, threes) against the realized box score, for games the player STARTED — projections assume the starting five, so a late scratch is excluded rather than counted as a miss. player accepts the display name ("LeBron James") or its slug ("lebron-james"). Returns per-stat accuracy (model MAE vs a naive rolling-average baseline, CRPS-based distributional skill), a predictability score (points + rebounds skill), and the most recent started games with expected vs actual values and the pre-game p10-p90 band. source distinguishes the full-season holdout backtest (2025-26) from live next-day reconciliation (from the 2026-27 season). Typical use: decide whether to trust today's projection for a fantasy start/sit call by checking how the model has tracked that player recently.

get/v1/players/nba/{player}/prediction-performance

Request

  • Base URL: https://api.predixsport.com (the document declares no server; this is the origin it was published from)
  • URL: https://api.predixsport.com/v1/players/nba/{player}/prediction-performance
  • Auth: none declared

Path parameters

playerstring required

Query parameters

seasoninteger nullable

NBA season end-year (2026 = 2025-26)

lastinteger

How many recent started games to return

Headers

authorizationstring nullable

Response

Successful Response

playerstring required
teamstring nullable
seasoninteger required
season_labelstring required
sourcestring required

'backtest' = full-season holdout replay (season out-of-sample); 'production' = live predictions reconciled next-day

games_startedinteger required
predictability_scorenumber nullable

Mean CRPS skill of points + rebounds x 100. Higher = more predictable for the models.

Changes

No recorded changes to this operation across all 1 revision of this API.