Built on Data. Accountable to Nobody's Agenda.
PickPub is an independent data intelligence platform — not a casino affiliate, not a picks service, not a content farm. We collect, analyze, and publish real-world performance data for casino games and sports betting markets because the information that already exists in this space is largely wrong, incomplete, or written to serve someone else's commercial interests.
Everything published on PickPub comes from direct data collection, original tooling, or documented methodology. No sponsored narratives. No operator influence. No recycled house edge tables dressed up as analysis.
Per-host spin tendency dashboards that go further than anything else publicly available — segment landing rate distributions, back-to-back pattern tracking, and real-time advantage play signals.
Real-time number frequency tracking, chi-squared bias detection across nine sector configurations, and bull/bear candlestick charts updated every 60 seconds.
Adaptable to different blackjack variants and rule sets, with dynamic RTP that updates in real time as the count changes. Not just the count — what the count is actually worth.
Every slot filterable by provider, RTP, volatility, and bonus buy mechanics. Built for research, not promotion.
Multiple independent AI models cross-referenced against live market odds across MLB, with College Football coming in August. Where model consensus diverges from market pricing is where the edge lives.
Data collected by PickPub is used to compute return-to-player and outcome distribution metrics, identify measurable patterns and deviations over time, and provide analysis that treats players as intelligent adults capable of acting on real information.
PickPub operates independently. Content is not written on behalf of casinos, sportsbooks, or affiliates, and data is not modified to favor any operator or outcome. The business model is transparent. The data speaks for itself.
For general inquiries, corrections, or legal matters:
contact@pickpub.com
legal@mail.pickpub.com