One Postgres brain powering schedule analysis, weather overlays, coach tendencies, injury tracking, prop modeling, game flow simulation, and survivor pool logic. Every module feeds into one unified intelligence layer.
The NFL Intel Dashboard isn't a collection of widgets — it's a single intelligence system. Weather data feeds into game flow models. Coach quote sentiment adjusts injury impact. Closing line movement validates prop edges. Everything connects.
Built on the same CFB Intelligence architecture that's already battle-tested — upgraded with NFL-specific data pipelines, advanced stat sources, and weekly rhythm scheduling.
Screenshot dropping closer to launch. The architecture is already scoped — we're building.
Each module runs its own scraping and modeling pipeline, then feeds into the unified intelligence layer.
Bye weeks, short weeks, travel distance, time zone shifts, and divisional rivalry context — all surfaced automatically per matchup.
Wind speed, precipitation probability, temperature, and dome/open-air context. Carried over from the CFB weather scraper with NFL venue mapping.
Press conference scraping with sentiment tagging. Detect coach-speak vs. real injury intel. Flag coordinator scheme changes before they hit the market.
Practice participation, game-time decisions, and IR movements — parsed and weighted by positional impact on props and totals.
Fair-value projections on passing yards, rushing yards, receptions, TDs, and more. Edge detection against live sportsbook lines.
EPA, DVOA, success rate, and pressure metrics — pulled from multiple sources and normalized into our projection pipeline.
Predicted game script modeling — pass/run ratio shifts, garbage time probability, and pace-adjusted volume projections per player.
Track where lines opened, how they moved, and where they closed. Validate model accuracy and identify market-beating patterns over time.
Optimal pick sequencing using win probability, future schedule value, and public pick distribution to maximize pool survival.
Every NFL intelligence cycle follows the same four-step pipeline.
Automated scrapers pull schedule, weather, injury, quote, and line data from verified sources.
Raw data is cleaned, normalized, and tagged with metadata — positional impact, sentiment, confidence scores.
Projection models run against parsed data to generate fair-value prices on every relevant prop and total.
Edges, insights, and intelligence are pushed to the dashboard, Discord, and daily reports.
Join the Discord now to get first access when the NFL Intelligence Dashboard goes live. Free edges and community are already waiting.
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