Basketball · Research
NBA Player PER Report
2017-18Updated Dec 15, 2017Archived
Project Overview
A PER ranking study that tests how touches, position, scoring, assists, and other player statistics explain PER rank across the 2013-14 through 2015-16 NBA seasons.
Problem & Objective
PER is one of the most cited basketball statistics in fan and media contexts, yet its construction and interpretive limits are rarely explained clearly.
Analytical Approach
The team reverse-engineers the PER formula, compares its outputs against alternative efficiency metrics, and identifies player archetypes where PER systematically over- or under-values production.
Key Result & Impact
The report clarifies PER's construction and highlights systematic biases that affect certain player roles, providing a clear guide for analysts and fans using the metric.
Tech Stack & Tools
RRegressionANOVA
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