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What is worldcut-2026?

crain99/worldcut-2026 — explained in plain English

Analysis updated 2026-05-18

28PythonAudience · generalComplexity · 3/5Setup · moderate

In one sentence

A Python dashboard that tracks World Cup 2026 betting odds and simulates AI-generated wagers with fake money.

Mindmap

mindmap
  root((worldcut-2026))
    What it does
      Tracks match odds
      Simulates virtual betting
      Generates AI predictions
    Tech stack
      Python
      SQLite
      LLM API
    Use cases
      Follow live match odds
      Practice betting virtually
      Get AI wagering suggestions
    Audience
      Sports fans
      Vibe coders

Code map

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What do people build with it?

USE CASE 1

Track World Cup 2026 match odds and prize pool data with AI commentary on likely outcomes.

USE CASE 2

Practice virtual betting with a simulated account balance and full history tracking.

USE CASE 3

Ask an AI model to generate an automatic wagering plan based on current match data.

USE CASE 4

Run the dashboard yourself with any OpenAI-compatible API key and model.

What is it built with?

PythonSQLiteOpenAI API

How does it compare?

crain99/worldcut-2026alicankiraz1/codexqberrnex/auto-clip
Stars282828
LanguagePythonPythonPython
Setup difficultymoderateeasymoderate
Complexity3/53/53/5
Audiencegeneraldevelopervibe coder

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires an OpenAI-compatible API key and model, a proxy may be needed to reach the data source.

So what is it?

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.

Copy-paste prompts

Prompt 1
Explain how the AI reads match data to generate a wagering plan in this project.
Prompt 2
Help me set up my own OpenAI-compatible API key and model to run this dashboard locally.
Prompt 3
Walk me through how virtual account balances and betting history are tracked in SQLite.
Prompt 4
Show me how to configure the proxy variable for reaching the lottery data source.

Frequently asked questions

What is worldcut-2026?

A Python dashboard that tracks World Cup 2026 betting odds and simulates AI-generated wagers with fake money.

What language is worldcut-2026 written in?

Mainly Python. The stack also includes Python, SQLite, OpenAI API.

How hard is worldcut-2026 to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is worldcut-2026 for?

Mainly general.

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