Projecting player longevity and progression is extremely hard. Often, people follow conventional time frames. Here, we present a new metric that uses a deep learning sequence model to project players’ future All-NBA probabilities.

## Generating fake Woj and Shams tweets with AI

By training a machine learning model on historical tweets from Adrian Wojnarowski and Shams Charania, we can generate fake NBA news tweets.

## Predicting the 2020 All-NBA teams with a deep neural network

Last year, we created machine learning models that nailed the All-NBA teams. This year, we’re using even better methods to predict the All-NBA teams.

## Predicting the 2020 MVP with linear models

Last season, we correctly predicted the MVP with four machine learning models. This year, we’ll take a better approach to predict the 2020 MVP.

## Using machine learning to find the best and worst value contracts

Let’s evaluate contracts in the NBA by applying machine learning to compare how much a player earns versus how much the models expect them to earn.

## Introducing true win shares: estimating team win probability given player stats

In evaluating players, teams look for who will give them the highest chance to win. Let’s create a metric based on the win probability given a player’s stat line.

## Determining the 2010s NBA All-Decade team with machine learning

Following the end of the 2018-19 NBA season, many released their All-Decade teams for the 2010s. Different authors weight longevity and peak differently, creating some subjectivity. Let’s use machine learning to approach this objectively.

## Introducing DAVIS: a holistic and transparent defensive stat

Publicly available defensive metrics either fail to quantify defense or are hard to understand. Let’s create a better, more transparent public defensive metric, DAVIS.

## Introducing the unicorn index: defining player uniqueness

Each year, more and more “unicorns” enter the league. Let’s define the uniqueness of these unicorns in a comprehensive metric.

## Using machine learning to predict All-Stars from the 2019 draft

Let’s use college stats to predict All-Star probabilities for the top-10 picks in the 2019 draft.