eric8395/baseball-analytics
Predicting MLB player salaries and team wins with machine learning regression models.
This project helps MLB team management and sports analysts evaluate player value and predict team wins. By analyzing historical baseball statistics, it forecasts player salaries and identifies which stats are most crucial for team success. It takes in player and team performance data from the last two decades and outputs predicted player salaries and insights into winning factors. Team general managers, scouts, and salary arbitrators would find this tool valuable for strategic roster construction and budget allocation.
No commits in the last 6 months.
Use this if you are an MLB team executive or analyst looking to make data-driven decisions on player contracts and roster optimization under budget constraints.
Not ideal if you are looking for real-time betting odds or predictions for individual game outcomes.
Stars
8
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/eric8395/baseball-analytics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
UnravelSports/unravelsports
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing...
oracle-devrel/leagueoflegends-optimizer
League of Legends Optimizer - Learn Artificial Intelligence with Gaming
Oleffa/LeagueAI
LeagueAI software framework for League of Legends that provides information about the state of...
andreiapostoae/dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
CorvusCodex/RouletteAi
RouletteAi is a roulette artificial intelligence that uses machine learning to predict the next number.