Tools for automating sports betting analysis, including path management, probability modeling, and strategy execution. Key features include scripting for betting processes, odds calculations, and Poisson-based score prediction. Ideal for developers exploring automated betting with customizable parameters.
Python Script used to scrape Dota 2 match and betting eSports
A script for scraping odds for NBA players points limits from a betting firm's website
Extract Twitter Followers for Top Sportsbooks
The python script for the sport betting predictions app that allows it to find and analyze bets with a positive expected value.
A Python script that helps you find arbitrage opportunities in sports betting odds from different bookmakers. The script uses the Selenium library to extract odds data from the Action Network website and identifies potential arbitrage opportunities based on the odds provided.
A python program script that scrapes the Betsafe betting
The R codes provided here are related to the project report "Can Maths Beat the Bookies" by Bradley Maunder. This project is provided in the repository in pdf format.
Scrapy and BeautifulSoup based scripts for scraping e-sport betting data from CybBet
Script to keep track of your bets csgo
Script for utforsking av data tilknytta Olybet - Betting
This script make auto bet in csgo
Script for tallying NBA team over-under bets
Script that helps me betting on most beneficial soccer result when playing
The Martingale Betting Strategy Simulator is a Python script that allows users to explore and analyze the Martingale betting strategy in a controlled and interactive environment. The Martingale strategy is a popular gambling technique that involves doubling the bet after each losing wager in an attempt to recover losses and potentially make a profit. This script provides a valuable tool for studying the strategy's dynamics and its potential risks.
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