Ask NFL, MLB, and Men's World Cup questions across play-level events, game context, season aggregates, career records, weather splits, matchup trends, and venue effects.
statn is in beta. New sports, features, and improvements are coming every week.
NFL, MLB, and Men's World Cup leaderboards, season splits, career totals, era comparisons, and trend questions.
Quarter, inning, half, late-game, red zone, extra-inning, match, and tournament-stage performance cuts.
Rain, snow, cold, wind, indoor, roof, day/night, venue, and surface-aware research.
Combine multiple stat categories, filters, and contexts in a single question. statn translates sports language into real data queries, runs it against our database, and returns the results in a clean format.
statn maps sports language into a clean intent: stat, scope, filters, and grouping.
OpenAI produces a read-only data query against curated semantic sports views instead of raw tables.
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Home-away, stadium, city, and opponent-specific performance patterns.
Sacks, interceptions, touchdowns, kicks, receptions, plate appearances, home runs, walks, and strikeouts.
Read-only data queries, controlled limits, and a structured results surface behind each answer.
The query is checked for allowed views, safe syntax, and bounded result size before it hits Postgres.
SELECT batter, COUNT(*) AS home_runs
FROM v_home_runs
WHERE season = 2025
AND EXTRACT(DOW FROM game_date::date) = 6
GROUP BY batter_id, batter
ORDER BY home_runs DESC, batter ASC
LIMIT 10From NFL weather splits to MLB day/night context and World Cup tournament history, statn turns sports language into validated data queries.
Retrosheet, Lahman, nflverse, and Fjelstul World Cup-backed views keep the query surface structured and explainable.
Additional sports are designed to fit the same workspace as new datasets come online.