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Sports Betting and Score Prediction with Machine Learning, which uses machine learning to predict basketball scores and provide betting recommendations. The script analyzes BASKETBALL data and checks trends to continually update its accuracy. It fetches BASKETBALL data in real time using the Odds API

 

Python Script to auto lookup and analyze various sports betting statistics and odds for PrizePicks and similar DFS (Fantasy Sports) betting platforms. Built using GPT4-turbo API

 

Elementary example of what is used in the betting suite. One of numerous tools used to find profitable bets, though the logic remains the same (bet sizing via Kelly Criterion, identifying outliers).

 

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.

 

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