benryan03 / Baseball-Simulator
A command-line baseball simulator in Python. Choose two MLB teams from any year with historically accurate rosters, and watch them go head to head! Players unique stats are taken into account during each pitcher-batter matchup.
☆33Updated 4 years ago
Alternatives and similar repositories for Baseball-Simulator:
Users that are interested in Baseball-Simulator are comparing it to the libraries listed below
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆43Updated last year
- Repository containing all baseball related code that has been created,☆9Updated 4 months ago
- A Simple Simulator for estimating NBA game outcomes☆34Updated 6 years ago
- sportsdataverse python package☆85Updated last month
- ☆12Updated 3 years ago
- Model to Predict Over/Under Outcomes for the Upcoming NFL Season☆38Updated 6 years ago
- ff data pros source code☆36Updated 5 years ago
- Fantasy Football data in the form of CSV files available for use in pandas, R, excel etc.☆151Updated last year
- Using regression models to inform NBA prop betting strategy.☆11Updated 2 years ago
- Optimizers for Daily Fantasy Sports written in python and based on Picking Winners paper.☆63Updated 10 months ago
- An R Shiny app to help make betting decisions for FanDuel player props☆20Updated 2 years ago
- Model created for FiveThirtyEight Forecast Competition☆30Updated 2 years ago
- Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players☆47Updated 4 years ago
- A set of NBA optimizers and GPP tools to help you win daily fantasy sports☆16Updated 4 months ago
- ☆48Updated 3 years ago
- Simple baseball simulator in Python☆20Updated 7 years ago
- A simple yet comprehensive web scraper for kenpom.com.☆77Updated 4 months ago
- Betting on the NBA with data☆146Updated 2 months ago
- Generate Pitching Summary using MLB Statcast Data☆20Updated 6 months ago
- ☆78Updated 3 years ago
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆170Updated 7 months ago
- Goals Above Replacement and Elo Rating data for NHL history.☆20Updated last week
- Combine classification algorithms to predict the winner of each game☆26Updated 5 years ago
- Web scraper to retrieve player and team data from Pro Football Reference.☆31Updated 9 months ago
- Predict Major League Baseball games (win/loss) with machine learning☆15Updated 6 years ago
- Python wrapper for the CFBD API☆150Updated last week
- An R package to quickly obtain clean and tidy college football play by play data☆82Updated 4 months ago
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆20Updated last year
- NBA player prediction model for use in daily fantasy sports☆15Updated 5 years ago
- Python code for working with NFL play by play data.☆311Updated 5 months ago