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EVBet.ai

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AI-powered sports betting edge detector with +EV picks

EVBet.ai uses artificial intelligence and sports data to detect positive expected value opportunities in sports betting. Includes picks, FunBets, Quiniela tools, and analytics.

Tech Stack

TypeScriptViteReactPythonREST APIMachine LearningNode.js

Key Features

  • +EV picks powered by AI probability models
  • FunBets for casual recreational bettors
  • Quiniela pool prediction tools
  • Real-time odds comparison and line tracking
  • Betting portfolio ROI dashboard
  • REST API backend with configurable data sources

About this project

Overview

EVBet.ai is an AI-driven platform designed to give sports bettors a mathematical edge. By analyzing vast amounts of sports data in real time, it identifies bets with positive expected value (+EV), helping users make smarter, data-backed wagering decisions rather than relying on gut instinct.

How It Works

The platform ingests live and historical sports data, runs it through machine learning models trained on outcome probabilities, and compares implied probabilities from bookmaker odds against its own calculated true probabilities. When a discrepancy reveals a +EV opportunity, the system surfaces it as an actionable pick. The frontend is built with TypeScript and Vite, communicating with a backend API (configurable via VITE_API_URL) that handles model inference and data aggregation.

Use Cases

  • +EV Picks: Discover statistically profitable betting opportunities across multiple sports before lines move.
  • FunBets: Casual, low-stakes AI-generated recommendations for recreational bettors who want guidance without deep analytics.
  • Quiniela Analysis: AI-assisted predictions for pool-style competitions popular in Spanish-speaking markets, optimizing pick combinations.
  • Portfolio Tracking: Monitor your betting history and ROI to understand long-term performance and refine strategy.
  • Market Analysis Tools: Compare odds across bookmakers and track line movement to time your bets for maximum value.

Frequently asked questions

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This project was designed, built, and shipped with AI assistance. Every line of code crafted with Claude.

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