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Instructor/Advisor

Melissa St. Hilaire

Keywords

circadian rhythm, basketball, machine learning

Abstract

This project aims to explore the influence of circadian rhythm changes on NBA team performance. We will examine how time zone differences affect team stats such as points scored, rebounds secured, fouls committed and most importantly wins and losses. Using the HoopR package in R, data was gathered for every team box score from 2005-2023 excluding the 2020 season. This data was cleaned, wrangled and processed before exploring patterns and themes. Each team box score was separated into 7 groups where each group represents the time zone difference from where their home timezone is to the timezone in which the game was played. For example, a team with EST timezone traveling to a team with PST timezone will have a timezone difference of -3. A dataset of 43,482 game data will be used to compare team performance by timezone difference using 28 different team statistics. Statistical methods such as two-sample tests, ANOVA and regression analysis will be used to assess the relationship between timezone difference and team success. Data visualizations will be used to illustrate significant trends and patterns within the data. These findings can be used for basketball teams to strategize in ways that may combat disadvantages related to circadian rhythm changes. It can also help schedule makers prioritize more fair competition by adjusting travel logistics and game times.

The Circadian Advantage: Time Zone Effects on NBA Team Performance

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