auroradan / PrizePicks-Prop-FinderLinks
Uses Selenium to obtain player projection lines from the PrizePicks API and then utilizes The Odds API to access 20 different sportsbooks to retrieve player props with the highest odds on PrizePicks. The player prop with the highest probability of occurring can be chosen by averaging the highest odds across all sportsbooks.
☆17Updated last year
Alternatives and similar repositories for PrizePicks-Prop-Finder
Users that are interested in PrizePicks-Prop-Finder are comparing it to the libraries listed below
Sorting:
- Scrapes PP for latest props and stores data.☆16Updated last year
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆178Updated last year
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆46Updated last year
- Collection of sports betting AI tools.☆597Updated this week
- System that calculates and uses algorithms to predict the outcome of NBA, NHL, and MLB sports games.☆99Updated 5 years ago
- ☆27Updated 2 years ago
- Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites☆437Updated last year
- Datasets and Scraping Functions for NFL Data☆33Updated last year
- R Package for Sports betting☆73Updated 2 years ago
- A python app designed to scrape and process sports betting data directly from oddsportal.com 🎯☆61Updated 2 weeks ago
- A package containing the essential math required for sports betting and gambling.☆272Updated 5 years ago
- Betting on the NBA with data☆147Updated 9 months ago
- An open-data fantasy football repository, maintained by DynastyProcess.com☆92Updated this week
- Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players☆52Updated 4 years ago
- NBA sports betting using machine learning☆1,458Updated 9 months ago
- Using machine learning to predict the outcome of NBA games.☆33Updated last year
- Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Ki…☆262Updated 2 years ago
- NBA Machine Learning Tools☆75Updated 6 months ago
- Client for DraftKings API☆145Updated 9 months ago
- A tool to automate and optimize DraftKings and FanDuel lineup construction.☆292Updated 3 months ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆132Updated 2 years ago
- MLB-Machine-Learning-Sports-Betting☆18Updated 2 years ago
- Using AI to predict the outcomes of NBA games.☆64Updated 8 months ago
- This repo contains scripts to collect and analyze data from Yahoo fantasy football leagues☆162Updated 2 years ago
- An R Shiny app to help make betting decisions for FanDuel player props☆20Updated 2 years ago
- NFL Data (by Lee Sharpe)☆311Updated this week
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆27Updated 2 years ago
- Optimizers for Daily Fantasy Sports written in python and based on Picking Winners paper.☆64Updated last year
- API To Bet On Fanduel Sportbook☆21Updated 2 years ago
- NBA player prediction model for use in daily fantasy sports☆15Updated 5 years ago