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01 / BUILD

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.

Live ai ml
+18.7% User ROI
WizJock, ai ml project by Isaac Benyakar
68% Prediction Accuracy
+18.7% User ROI
TB/Day Data Processed
92% Retention

01

The challenge

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

02

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.

03

How it was built

  1. 01 Trained custom models on decades of sports data
  2. 02 Implemented strict KYC/AML verification with Stripe Identity
  3. 03 Built a real-time odds ingestion pipeline
  4. 04 Designed a clean, data-first UI for rapid decision making

04

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.

05

Growth and SEO

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.

06

Outcomes

No. Result
01 Delivered a verified +18.7% ROI for users over the season
02 Achieved 68% accuracy on high-confidence model outputs
03 Maintained 92% retention rate due to proven performance
04 Successfully navigated complex gambling ad compliance

07

Gallery

WizJock: Admin dashboard
Admin dashboard

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