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BoxBoxF1Fantasy Public Data (2026)

A crawlable index of public JSON files for agents, answer engines and power users who want to understand the data behind the site.

Current round: R12 · Belgian Grand Prix

For natural-language navigation, start with llms.txt or the fuller llms-full.txt. For machine-readable endpoint discovery, use openapi.json. For live projections, start with predictions.json.
FileDatasetDescriptionUpdatedBytes
predictions.jsonCurrent F1 Fantasy predictionsCurrent-round driver and constructor projections, expected points, confidence ranges, prices, value scores and prediction metadata.2026-07-0933,533
season_summary.jsonSeason summaryRace calendar, completed-round flags, current prices and season-level driver/constructor context used by the site.2026-07-0911,906
driver_history.jsonDriver and constructor historyHistorical fantasy scores and price movement used by season views, form tables and value context.2026-07-0939,304
track_data.jsonTrack dataCircuit metadata and track-classification features for current and future race-week context.2026-07-097,949
weather.jsonWeather forecastRace-week weather forecast metadata used by the weather widget and weather-aware prediction notes.2026-07-118,584
horizon_projections.jsonFuture-round horizon projectionsForward-looking projections used by the multi-week transfer planner when planning beyond the current race.2026-07-0954,074
changelog.jsonChangelogMachine-readable release notes for notable model, scoring, data and tool changes.2026-07-1042,329
articles.jsonArticlesMachine-readable source for crawlable race previews, recaps and F1 Fantasy strategy articles.2026-04-2821,514
youtube_videos.jsonYouTube videosLatest BoxBoxF1Fantasy YouTube videos with title, publish date, thumbnail and URL.2026-07-101,433

FAQ

Can agents use these JSON files?

Yes. These are public static JSON files used by the website itself. They can be fetched directly for current projections, season context, articles, videos and other public site data.

Are these predictions guaranteed?

No. The data contains model-based projections and public site metadata. F1 Fantasy outcomes depend on weather, reliability, strategy, penalties and race incidents.

Which endpoint should an AI assistant read first?

Start with predictions.json for the current round and season_summary.json for calendar and price context. Use llms.txt or llms-full.txt for a plain-English site map.