NBA sports betting using machine learning
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Updated
May 4, 2024 - Python
NBA sports betting using machine learning
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
Analysis and datasets about football (soccer)
Collection of sports betting AI tools.
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
Python library to parse, analyze and visualize Counter-Strike 2 data
A Set of Functions to Efficiently Scrape NFL Play by Play Data
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
Betting on the NBA with data
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
A python package for turning sports video into csv files
🏀 An application to build an NBA database backed by MySQL, Postgres, or SQLite
A simple yet comprehensive web scraper for kenpom.com.
3D position tracking for soccer players with multi-camera videos
Repository that is deployed for the OpenWeightlifting site
A free and open source performance monitor for rowing machines
A python library consisting of pipelines for visual analysis of different sports using Computer Vision and Deep Learning.
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