The traditional five position system of classifying NBA players is getting outdated. Let’s use machine learning to learn more about what sets players apart.
Author: Ahmed Cheema
The traditional five position system of classifying NBA players is getting outdated. Let’s use machine learning to learn more about what sets players apart.
Which NBA players are earning disproportionately more money in the 2019-20 season than their performance warrants?
Which NBA players signed contracts that are proving to be the best bargains for their teams in the 2019-20 regular season?
Which players increase and decrease their teammates’ shooting efficiency the most through their passes?
Instead of assuming that it’s all the same, let’s determine the true probability of completion for every single pass attempt in the NFL since 2006.
Which NBA players cover the most ground in their games? What about teams? Are these numbers meaningful? Let’s dive into the data and find out.
Since 2015, the NBA has consistently released its controversial Last Two Minute Reports at the end of close games. Let’s dive into some of that data.
Basketball consists of many different passing connections between players. Let’s learn more about the NBA by visualizing these intricate passing networks.