Over the past few months, I’ve been working on a project called Club Sentiment (https://clubsentiment.com) that measures how football fans are feeling about clubs in near real time by analyzing discussions across Reddit, X, YouTube and major news coverage.
The idea was simple: football conversations online are incredibly emotional, reactive and momentum-driven — but there wasn’t really a good way to quantify that.
So we started tracking it.
A few interesting patterns started showing up almost immediately:
- Some fanbases remain surprisingly optimistic even during poor form
- Others swing heavily after a single result
- Transfer rumors can shift sentiment almost as much as actual matches
- Narrative and expectations often affect fan mood more than underlying performances
One feature I personally find interesting is the compare tool:
https://clubsentiment.com/compare/chelsea-vs-arsenal
You can compare the live sentiment of two clubs side by side and see how differently fanbases react at the same moment.
Still improving the methodology and data processing, but I’d genuinely love feedback from people interested in football analytics/data.