Reading Time: 10 minutes This is an update to last year’s web scraping tutorial. I focus on getting data from my beloved fbref.com for Manchester City, the English Premier League 2021-22 champions. This guide uses R programming.
The Loss Angeles Lakers: A Modern Tragedy – An In Depth Analysis Using Python
Reading Time: 2 minutes I created this in hopes of actively practicing my Python and visualization skills towards a topic that I am passionate about.
I am a die hard Lakers fan and feel that this year has been a rollercoaster that never ends (keep in mind that I hate rollercoasters, yet here I am) I love the Lakers but hate that there were so many gambles and situations that did not pan out the way they were supposed to. . . . .
No one could have predicted this considering the Lakers had won the championship just about 2 years ago.
10 Steps to Get Started in Sports Analytics in 2022
Reading Time: 12 minutes Throughout the article below, I go through my approach of how to become great in the four pillars of a sports analytics expert: Communication, Statistics, Programming, and Sports Knowledge.