The project

Fan intelligence
built on a decade
of research.

Sports organisations are sitting on an ocean of fan data - comments, reactions, arguments, celebrations - published publicly every day across YouTube, Reddit, and beyond. Most of it goes unread. We built FanTrendTracker to change that.

See the live dataMeet the team

The problem every sports organisation faces

Fan sentiment data exists in enormous volumes - but it's unstructured, multilingual, and spread across platforms. Existing tools give you positive vs. negative. That's not enough to make decisions.

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What FanTrendTracker does differently

We classify fan reactions across 11 emotion dimensions, surface the topics driving each emotion, track how sentiment evolves across an entire season, and deliver it as a clear, interactive dashboard - built specifically for your sport.

How we got here
2020 — 2023
Live FM: Fan Monitor
Four editions of primary research into sports fan behaviour. 4,000+ respondents. Downloaded over 27,000 times across the industry.
2023 — 2024
Building the pipeline
Development of an AI-powered framework combining NLP, topic modelling, and emotion classification to process large-scale social media data.
2025
First live analyses
Applied the system to Formula 1 — the sport with the highest volume of fan-generated online content and the greatest commercial stakeholder interest.
2026 · Now
Live · F1, F2 & F3
Tracking the full 2026 season across three series in real time. Expanding to additional sports and opening to commercial clients.
What we offer
01
Emotion at depth
We go beyond positive and negative. Eleven emotion dimensions — joy, anger, anticipation, fear, trust and more — give you the full picture of how fans actually feel.
02
Academic rigour
Every analysis is built on peer-reviewed methodology. Our models are reproducible, auditable, and grounded in published consumer behaviour research.
03
Private by design
All AI inference runs locally. No fan comment data is ever sent to a third-party API. Your data stays yours — suitable for commercially sensitive research.