Military-Grade Predictive Analytics for Sports

Multiple independent models analyze the same data from different angles. When they converge on the same prediction, confidence is high. This approach was developed for intelligence forecasting where single-model failures have serious consequences.

Each prediction receives an A+, A, or B grade based on the level of agreement across the model ensemble. A+ means near-unanimous consensus. B means the models see signal but disagree on magnitude. We don't publish predictions below B.

Currently NBA, NFL, MLB, and NHL. Coverage depth varies by sport and season. The underlying models are sport-agnostic — the same architecture has been applied to geopolitical events and financial markets.

Every prediction is timestamped at publication and tracked against actual outcomes. Results are published transparently — no cherry-picking, no retroactive edits. Historical accuracy is broken down by sport, confidence grade, and time period.

The technology. This platform is built on 20+ years of DARPA-funded forecasting research. The ensemble approach was proven on defense and intelligence problems before being adapted for sports. Most analytics platforms use single models or simpler statistical methods.

Yes. Every new account gets a free 5-day trial with full access to all models, confidence grades, and historical data. No credit card required.