About
From government intelligence
to your portfolio
PropJuice brings DOD-grade forecasting technology to sports betting. The same AI that predicted geopolitical events now optimizes your betting strategy.
Founder
Dr. Steve Shellman
Dr. Shellman is a political scientist and entrepreneur who has dedicated his career to predictive analytics. Before founding PropJuice, he led forecasting projects for DARPA and the Department of Defense.
His models have predicted North Korean missile tests, election outcomes, and financial market movements with industry-leading accuracy. Now he's applying that expertise to sports analytics.
Ph.D.
Political Science
$25M+
DOD Contracts
20+ Years
Research
By The Numbers
Company at a glance
$25M+
Government contracts awarded
20+
Years of forecasting research
30+
Top-level AI models in ensemble
70–80%
Recommended bet accuracy
Our Journey
Key milestones
2008
DARPA Research Begins
First government contracts for predictive analytics
2012
DOD Expansion
$25M+ in defense contracts for forecasting systems
2018
Financial Markets
89% accuracy predicting S&P 500 movements
2022
PropJuice Launch
Government-grade AI adapted for sports betting
2024
Platform Expansion
Enhanced multi-parlay strategies and model diagnostics
Research
Selected publications
An Empirical Assessment of the Role of Emotions and Behavior in Conflict Using Automatically Generated Data.
Stephen M. Shellman & Sean O'Brien. All Azimuth: A Journal of Foreign Policy and Peace, 2(2): 31–4.
The New School of Political Conflict & Terror: From Attributes to Behavior & Why Policymakers Will Care.
Will H. Moore & Stephen M. Shellman. Perspectives on Terrorism, 2(12): 3–10.
Coding Disaggregated Intrastate Conflict: Machine Processing the Behavior of Substate Actors Over Time and Space.
Stephen M. Shellman. Political Analysis, 16(4): 464–77.
Determinants of Popular Support for Iran's Nuclear Program: Insights from a Nationally Representative Survey.
Christine Fair, Victor Asal, and Stephen M. Shellman. Contemporary Security Policy, 29(3): 538–58.
Predicting Risk Factors Associated with Forced Migration: An Early Warning Model of Haitian Flight.
Stephen Shellman and Brandon Stewart. Civil Wars, 9(2): 174–99.
Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis.
Stephen M. Shellman. Political Analysis, 12(1): 97–104.
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