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Sports Analytics Content for those Interested in Playing the Numbers

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basketball analytics

ncaa_nba_draft

Using NCAA Stats to Predict NBA Draft Order

March 4, 2020 George Brown 4

Intro & Lit Review Predicting the NBA draft is always difficult. Should you draft a player on college statistics, NCAA tournament performance, combine results, potential, […]

Can they Keep Up? A Look into the Pace Statistic in the NBA

February 7, 2020 Andy St. Jean 4

Analytics is taking over the game of basketball in a beautifully informative way. Every metric sheds new light on a teams performance and provides a […]

Beyond The Arch: Brook Lopez’s Evolution

January 21, 2020 Brennan Ruby 0

Beyond The Arch is a series of articles where I use K Means Clustering to better understand how players are used on offense in the […]

Where Should the 3-Point Line Actually be

How Far Should the NBA 3-Point Line Actually Be

January 1, 2020 Ken Jee 0

The 3-Point shot has changed the incentive structure of basketball. In this analysis I try to find an optimal distance for the line

beyond the arch spot-up wing

Beyond The Arch: A Closer Look at Spot-Up Wings

December 31, 2019 Brennan Ruby 0

Taking a deeper dive in to the Spot-Up Wing player archetype

off ball playmakers

Beyond The Arch: A Closer Look at Balanced Playmakers

December 28, 2019 Brennan Ruby 0

In my previous article I took a closer look at how the number of On-Ball Playmakers is on the rise and I detailed three examples of the type of player that fit this mold. In this article I will do the same for Balanced Playmakers.

Nba data collection

How to Get NBA Data Using the nba_api Python Module (Beginner)

December 22, 2019 Ken Jee 14

How to use the nba_api module to scrape data from the NBA.com API

Behind the Arch basketball analytics

Beyond The Arch: A Closer Look at On-Ball Playmakers

December 18, 2019 Brennan Ruby 0

In my previous article, I used a K-Means clustering model to develop a brand new group of offensive archetypes to bucket players. The result was an […]

Behind the Arch

Beyond The Arch: Introducing a New Way to Understand the Game

December 18, 2019 Brennan Ruby 1

New Archetypes for NBA players based on play type data.

NBA simulation

How to Simulate NBA Games in Python

December 16, 2019 Ken Jee 2

A quick and dirty overview of monte carlo simulation applied to basketball outcomes

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