Hi Product Hunt 👋 I’m the solo developer behind Axiom Edge. I built this tool out of pure frustration with the sports betting industry. As someone obsessed with data, I noticed a recurring problem: most prediction apps stop at providing raw data (like xG, H2H, or form tables). But raw data doesn't make money—pricing does. The real edge comes from comparing your model's probabilities against what the market actually offers. ⚙️ So, I built exactly that. How it works under the hood: Axiom Edge isn't relying on gut feeling. The prediction engine uses a blend of Poisson distribution, Dixon-Coles time-decay, and an EKF Kalman Filter to generate "True Probabilities" for football and basketball matches. It then constantly fetches live bookmaker odds (like Bet365) to calculate Expected Value (EV). If our true probability offers an edge over the bookmaker's price, it gets flagged. We even use the Kelly Criterion to suggest optimal bet sizing. Tech Stack: Backend: Python predictive models running on a VPS. Database: Supabase (PostgreSQL) Frontend: React & Vite I'd love to hear your thoughts on the UI, the mathematical approach, or features you'd like to see next! The platform tracks all Pick results transparently (Win/Loss/Void). Feel free to test it out with our 7-day free trial. I’ll be hanging around the comments all day to answer your questions and talk about the tech! Cheers 🍻

Axiom Edge

AI-driven value betting & odds comparison.

AI-driven value betting & odds comparison.