Rudy Gobert has unequivocally been the league’s best and most valuable defensive player over the past three seasons. And he’s only getting better.
NBA
National Basketball Association
It’s common knowledge that home-court advantage is a significant factor in the NBA. But why? Could officiating be a factor?
Can we use basketball statistics to find which NBA players tend to hunt for triple-doubles the most?
The frequency of triple-doubles has exploded over the past few years. Stat sheets are being stuffed like never before. What’s the reason behind it?
We all know that NBA players are shooting more 3-pointers than ever before. However, we’re not talking about the increasing frequency of deep 3-pointers.
The influx of analytics in basketball has propelled the NBA’s three-point movement. More shots are being taken from beyond the arc than ever before.
With almost 25% of the NBA regular season done, we can now evaluate the performances of the league’s players using expected effective field goal percentage.
In this article, I show how to use official individual matchup data in order to quantify defensive performance in the NBA with Python.
In this article, I document the calculation of Expected Effective Field Goal Percentage (XeFG%) entirely through Python and its web-scraping capabilities.