NBA Player Analysis: Does Social Media Popularity Reflect On-Court Performance?

Exploring the relationship between Instagram followers, scoring efficiency, and player impact metrics across the NBA.

The Question

In today’s NBA, players are not only athletes but global brands. Social media platforms like Instagram give fans direct access to players, making popularity more visible than ever.

This raises an important question: Does social media popularity actually reflect on-court performance?

This analysis explores whether NBA players with larger Instagram followings tend to demonstrate higher efficiency and impact, using metrics such as Player Efficiency Rating (PER) and True Shooting Percentage (TS%).


Performance vs Efficiency Across the League

The chart below compares True Shooting Percentage (TS%) and Player Efficiency Rating (PER) for a sample of NBA players.

Bubble size represents each player’s Instagram follower count, while colors distinguish a player’s position.

This visualization highlights how efficiency and overall impact relate across different positions, and shows which players have the largest online followings.


Does Popularity Correlate with Player Impact?

This visualization compares Instagram follower count with Player Efficiency Rating (PER).

A regression line is included to examine the relationship between popularity and player impact.


Popularity vs Scoring Efficiency (TS%)

While PER captures overall impact, True Shooting Percentage (TS%) measures scoring efficiency, a heavily weighted variable in PER.

This chart compares follower counts with TS% to examine whether players who shoot more efficiently also tend to attract larger social media audiences.


Key Insights
  1. Popularity loosely aligns with performance, but not strongly.
    Players with higher PER often have larger followings, but the relationship is modest. Elite performance contributes to popularity but does not fully explain it.
  2. Scoring efficiency alone does not drive social media following.
    The relationship between TS% and followers is weaker, suggesting that efficiency metrics alone are not a major driver of fan attention.
  3. Star visibility plays a major role.
    Factors such as highlight plays, team success, market size, and media exposure likely influence follower counts beyond performance metrics.
  4. Some highly efficient players remain under-recognized, often through choice.
    Several players with strong efficiency metrics have relatively modest social media followings, highlighting how performance and visibility can diverge. The best example is Nikola Jokic, a Denver Nuggets center with the highest league PER, who has decided to stay off social media.

Methodology

Data Sources
The data used in this analysis is from the Basketball Reference and Popular Basketballers websites. Basketball Reference measures a player’s PER, TS%, and MPG, among other statistics. Popular Basketballers measures a player’s Instagram followers, position, and country.

Analytics and Visualization Tools
1. Tableau for visualization
2. Data cleaning and preparation in Excel

Approach
1. Log transformation to follower counts
2. Scatter plots with regression lines to explore correlation patterns