MLS-Through-The-Years

This project explores the organizing, cleaning, and analysis of Major League Soccer data since the league's inception.
It explores the idea of home field advantage and goal scoring through the use of Pythons pandas, matplotlib, numpy, and statsmodels.api packages with linear regression techniques.

Getting Started

When you run MLS GAME DATA.py it will create the graphs and run the regressions from the data.

Prerequisites

Python

Packages: pandas matplotlib statsmodels.api numpy

Authors

• Daniel Litwak

Acknowledgments

• Thank you to jalapic for his raw mls data found at: https://github.com/jalapic/engsoccerdata/blob/master/data-raw/mls.csv