crain99/worldcut-2026 — explained in plain English
Analysis updated 2026-05-18
Track World Cup 2026 match odds and prize pool data with AI commentary on likely outcomes.
Practice virtual betting with a simulated account balance and full history tracking.
Ask an AI model to generate an automatic wagering plan based on current match data.
Run the dashboard yourself with any OpenAI-compatible API key and model.
| crain99/worldcut-2026 | alicankiraz1/codexqb | errnex/auto-clip | |
|---|---|---|---|
| Stars | 28 | 28 | 28 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 3/5 | 3/5 |
| Audience | general | developer | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Requires an OpenAI-compatible API key and model, a proxy may be needed to reach the data source.
This is a web-based dashboard for following and simulating bets on the 2026 FIFA World Cup, built in Python. It pulls official match odds and prize pool data from the Chinese state sports lottery website, then uses a large language model to analyze that data and generate predictions. The interface shows each match as a card displaying win/draw/loss probabilities, how the betting odds have shifted over time, and AI commentary on the likely outcome. The simulation feature lets multiple users practice betting without real money. Each user gets a virtual account with a starting balance, and the system tracks their holdings and full betting history separately. When you ask the AI to suggest a bet, it reads the current match data and generates a wagering plan automatically. All account balances, simulated positions, and AI recommendation history are stored in a SQLite database on the server. To run the project yourself you provide an OpenAI-compatible API key and model name through environment variables. The README shows an example using a model called gpt-5.5, but any OpenAI-compatible endpoint works. A separate proxy variable is available if you need to route requests to the Chinese lottery data source through a local proxy. The server defaults to port 8765 and the interface works on mobile screens as well as desktop. The project is described as a research and simulation tool only, not a real betting platform. No actual money changes hands through the software. The code is available on GitHub and a live demo is linked in the README. Database files and API keys are excluded from the repository.
A Python dashboard that tracks World Cup 2026 betting odds and simulates AI-generated wagers with fake money.
Mainly Python. The stack also includes Python, SQLite, OpenAI API.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.