A PHP script that collects data from a table on the website

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The script is written in PHP and uses a MySQL database. It takes specific data from today's football betting predictions table and places it in a MySQL table. The SQL command to create a table compatible with the script is included.

 

Script to extract the implied probabilities of all outcomes listed in the live-betting section of unibet.com. The script has applications in sports gambling arbitrage and for building live alert tools.

 

Script that uses the Tensorflow neural network to predict betting-odds in a football match using tensorflow. The script uses the team-ratings before every match from the FIFA videogame database. The script should be executed in a Tensorflow environment (Firstenv).

 


Building an ensemble machine learning model using Keras and XGBoost to generate predictions to be used for betting on NHL games.

 

This script was created using Python, as well as the Playwright and Pandas libraries.

 

Bet 365 Casino Betting Scripts. ##Containers## application - ubuntu/debian/python database - mysql ##Dockerize## skynet network- volume-db ./db volume lb ./lb #Collects football betting odds data and inserts it into the database.

 

These scripts run on Selenium (manually run) to collect certain data from websites and add it to its "XLS" file in documents.

 

In this project I am setting up a telegram bot that automates the process of copying sports picks from a tipster and placing the bet through the sportsbooks API.

 

Telegram bot for analyzing tennis matches and recommending under 22.5 game bets.

Analyzes player statistics and form
Considers surface performance
Evaluates injury status
Provides confidence percentage for Under 22.5 games

 

Software to detect and notify me about opportunities for arbitrage or positive EV sports bets

 

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