ai-agent

ChatGPT_Sports_Betting_Bot: Automate Bets

Get a sports betting bot for automation.
507 stars182 forksJupyter NotebookGuide quality 8/10Updated 5/11/2025100% free · open source
What it does

This tool uses ChatGPT to analyze sports teams and make betting predictions based on their performance data.

When to use it
  • You want to automate sports betting decisions using AI
  • You need to analyze large amounts of sports team performance data quickly
  • You're looking for a proof-of-concept for using ChatGPT in a real-world application
Ready-to-paste prompt
Run the following code to generate a betting prediction for the New York Knicks: `make_prediction(team='New York Knicks', sport='basketball')`
Heads up: You need to have an OpenAI API key to use this tool, which requires signing up for a paid OpenAI account to access the ChatGPT API
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/chatgpt-sports-betting-bot && curl -fsSL https://workflowstacks.com/api/skills/chatgpt-sports-betting-bot/claude-skill -o ~/.claude/skills/chatgpt-sports-betting-bot/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How ChatGPT_Sports_Betting_Bot: Automate Bets works
Codeflow
Free to inspect

ChatGPT_Sports_Betting_Bot: Automate Bets is a small Jupyter Notebook project (~900 lines across 32 code files). Setup is light: install Node.js, run one command. Last commit 16 months ago, no license file, no tests found.

Size
Small codebase
~900 lines · 32 code files · 8 min skim
Setup
Light setup
Install Node.js, run one command.
Runs on
Node.js
No API keys detected
Jupyter Notebook 65%JavaScript 35%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    App.js
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    src/screens/index.js
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic33 files
assets/Images & static assets4 files
READMENo tests foundThin docsNo CINo licenseLast update 16 mo ago
Quick Actions
Details
Creator
llSourcell
Language
Jupyter Notebook
Category
ai-agent
Published
1/19/2023

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