NBA basketball data and stats
DunkAPI connects your AI and Codex to NBA basketball data from DunkAPI. It covers the NBA since 2004 with every shot located, the WNBA since 2006, and Division I men's and women's college basketball. More
MCP connector Server URL https://mcp.dunkapi.com/mcpCopy Login OAuth Tools Reads data18 get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ list_ list_ search_
Skills 14 in the ChatGPT listing
dispatch Routes a basketball analytics request to the right 2-3 skills. Dunkapi tool Default data source for the DunkAPI skills. Feature engineering Builds leak-free features for basketball prediction models from DunkAPI data: rolling team margin and efficiency, Elo rebuilt game by game, rest days and back-to-backs, home court, opponent-adjusted form, market features and player minutes. Game lookup Finds basketball games and reads results: scores by date, team, range or season, upcoming schedule, and a single game's full box score. Game preview Builds a full pre-game basketball preview: teams' Elo and efficiency, recent form, rest and back-to-backs, injuries, the market line across books, and a simple projection with its uncertainty. Odds analysis Odds math for basketball betting markets: American, decimal and implied probability conversion, vig, and four devigging methods (multiplicative, additive/Shin, power) applied to moneylines, spreads, totals and player props, plus building a consensus no-vig line across sportsbooks. Odds explorer Multi-book basketball odds comparison: best moneyline, spread and total across sportsbooks, vig per book, opening versus closing lines, and pre-tip line movement. Player form Reads a basketball player's recent form from his game log: rolling averages, minutes trend, per-minute rates, rest effects, home and road splits and opponent context, with proper shrinkage so a hot week is not mistaken for a new talent level. Player scouting Looks up and profiles basketball players: finds the player id, reads per-season averages and shooting splits, compares two or more players on a per-minute basis, and pulls season leaderboards. Probability calibration Checks and fixes whether basketball model probabilities mean what they say: reliability tables, Brier score and log loss, Platt scaling and isotonic regression fitted out of sample, converting predicted margins to win and cover probabilities, and shrinking toward the market. Prop modeling Builds basketball player prop models for points, rebounds, assists, threes, points + rebounds + assists, blocks and steals: projects minutes and per-minute rates from the game log, turns a projection into an over/under probability with a suitable distribution, compares it with devigged prop prices across books, and checks a player's history against his lines. Shot zone analysis Analyzes basketball shot profiles by zone using DunkAPI shot data: attempts, makes and points per shot in restricted area, paint, midrange, corner three and above-the-break three, compared with expected points per shot to separate shot quality from shot making. Team analysis Evaluates basketball teams: standings, DunkAPI Elo power ratings, pace, offensive and defensive rating, net rating and the four factors (eFG%, turnover rate, offensive rebound rate, free throw rate). Walk forward validation Validates basketball prediction models with chronological walk-forward splits instead of random k-fold: expanding or rolling windows, season-block folds, purge gaps, proper benchmarks (home-team baseline and the closing line), paired significance tests and the sample sizes needed to detect a small edge. 