Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

This code simulates NFL games in a play-by-play fashion

Predict scores of NBA games using regularized matrix completion

NBA sports betting using machine learning

Predicts Daily NBA Games Using a Logistic Regression Model

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm

Data and code for the paper "Basini et al., 2023".

A repo of the Data Scientist team's open source predictive models.

Python Program Simulating an NFL game using Teams and Players from .json files

Simulate a basketball game result based on team's strategy and ability

Python script to scrape Bet365 odds using Selenium.

test actions

R package to scrape live sports betting odds

📐 A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

Contains code for Various regression models built in SAS to predict the total number of wins for individual team. Data used from the year 1871 to 2006

Contains code to simulate NBA games design player lines

🏀 💻 The finest NBA CLI.

NBA Simulation

Easily stream StatsBomb data into Python

Live Pt-by-Pt Prediction of ATP Tennis Win Probability

This repo contains the raw data, cleaned data, algorithm testing, and final report in predicting who will win a WTA, Grand Slam match based on the statistics from Set 1

Predicting ATP results.

Predict outcome of tennis matches with tennis ranking models.

Model for predicting WTA tennis matches outcome.

Euroleague and Eurocup Scrapper

A Simple Simulator for estimating NBA game outcomes

Stats-based basketball simulation

An R package for many football models

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.