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.