Sports Misery Index

Whether there's confetti falling from your team's last title or you're still waiting to see your first, you probably have an idea of how satisfied - or miserable - you are as a fan. But could you put a number on it?

Project Overview

The Sports Misery Index is an interactive data visualization project that quantifies the emotional experience of sports fandom across major leagues. Using algorithmic analysis, the project assigns "misery scores" from 0-100 to help fans gauge how much joy or sadness they derive from their favorite teams.

Key Features

Multi-League Analysis: Comprehensive coverage across NFL, NBA, MLB, and NHL teams
Interactive Scoring: Dynamic algorithm that calculates personalized misery scores
Historical Data Integration: Factors in years of team performance, championships, and fan loyalty
Social Sharing: Enables fans to share and compare their misery scores across platforms

Project Demo

Project Highlights

Algorithmic scoring system for 120+ professional teams

Interactive user experience with personalized results

Responsive design optimized for all devices

Animated visualizations using Lottie animations

Technical Implementation

This project leveraged modern web technologies and tools to create an engaging, interactive experience:

ReactTypeScript/JavaScriptTailwind CSSViteData ValidationArchieMLLottie Animation

Results & Impact

1M+

Page Views

1+ min

Average Engagement

Viral

Social Media Impact

The Sports Misery Index achieved exceptional engagement and widespread social media coverage, resonating with sports fans across multiple platforms and generating significant discussion in sports communities nationwide.