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About Me

I’m a college freshman and lifelong Celtics fan. I’ve been interested in statistics for a long time, and am starting Dribble Analytics to explore my interest in basketball analytics while learning Python and data science. To read more about the blog and my story, check out the “About” page.

Contact me at: the name of this blog [at] gmail [dot] com

Category: NBA Awards

February 4, 2020February 4, 2020

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.

Posted in Classification, NBA Awards. Leave a comment
January 17, 2020January 17, 2020

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.

Posted in Classification, NBA Awards. Leave a comment
December 9, 2019December 9, 2019

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.

Posted in Classification, NBA Awards. Leave a comment
April 12, 2019April 11, 2019

Using machine learning to predict the 2019 MVP and All-NBA teams: end of season predictions

Over the past few months, we’ve been using machine learning to predict the MVP and All-NBA teams. Now that the season is done, let’s update these predictions and predict our final MVP and All-NBA teams.

Posted in Classification, NBA Awards, Regression. Leave a comment
March 1, 2019October 12, 2019

Predicting the 2019 All-NBA teams with machine learning

Now that we’re over halfway done with the regular season, the All-NBA picture is clearing up. By creating accurate models which examine the factors that lead each historical All-Star and top player to make (or miss) an All-NBA team, we can predict each player on all 3 All-NBA teams.

Posted in Classification, NBA Awards. 2 Comments
February 19, 2019June 17, 2019

Using machine learning to predict the 2019 MVP: All-Star break predictions

This is the second installment of predicting the 2019 MVP with machine learning. Since the first installment, James Harden has strengthened his MVP case, while Giannis Antetokounmpo has continued to lead the NBA-leading Bucks. Meanwhile, Paul George’s hot streak has shaken up the rest of the pack.

Posted in NBA Awards, Regression. Leave a comment
January 16, 2019June 17, 2019

Using machine learning to predict the 2019 MVP: mid-season predictions

With the halfway point in the year passing, the MVP discussion is heating up. James Harden and Giannis Antetokounmpo find themselves in a tight 2-man race for MVP. Let’s see who should win based off historical precedent for MVP vote share.

Posted in NBA Awards, Regression. Leave a comment
August 2, 2018June 17, 2019

Finding the least and most deserving MVPs of the last decade

Every few years, there’s a highly controversial MVP pick. Most recently, Russell Westbrook won MVP over James Harden on the back of a historic season where he average a triple-double. Let’s look at the historical precedent for MVP vote share and determine the least and most deserving MVPs.

Posted in NBA Awards, Regression. Leave a comment
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