~/iby $ cd projects / wizjock
WizJock
ai ml

WizJock

A premium, invite-only sports betting intelligence platform powered by Machine Learning. WizJock provides data-driven insights and predictive modeling for serious sports investors, operating with strict compliance and high exclusivity.

68%
Prediction Accuracy
+18.7%
User ROI
TB/Day
Data Processed
92%
Retention

Technologies

Python Scikit-learn React FastAPI Stripe Identity

The Challenge

Sports investors lack reliable, data-backed intelligence. The market is flooded with "touts" selling guesses. Users needed a transparent, algorithmic edge.

The Solution

Built a rigorous ML platform that processes terabytes of historical data to identify positive EV (Expected Value) opportunities, wrapped in a compliant, secure subscription model.

Technical Deep Dive

The backend is a high-performance Python FastAPI application that ingests real-time odds data from multiple providers via WebSocket. Our Scikit-learn models run inference on this stream to identify discrepancies. We implemented Stripe Identity for automated KYC (Know Your Customer) to ensure full compliance with age-restricted gambling regulations.

Growth & SEO Strategy

Since the platform is invite-only, the SEO strategy focuses on brand reputation and "waitlist" capture. We rank for "AI sports betting algorithms" and "predictive sports modeling". We publish retrospective accuracy reports which serve as high-value link magnets from sports analytics communities.

Key Outcomes

Delivered a verified +18.7% ROI for users over the season

Achieved 68% accuracy on high-confidence model outputs

Maintained 92% retention rate due to proven performance

Successfully navigated complex gambling ad compliance

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