Give the data context.
Bring player statistics, fixtures and news into a consistent structure, with clear definitions and a record of where each update came from.
“Are these numbers measuring the same thing?”
Sports intelligence / In development
The game moves.
Understand why.
Fantasy Fellas is connecting sports statistics, game context and AI-assisted analysis to make changing outcomes easier to understand. Starting with NFL fantasy football.
Explore the projectTalk to the founderIndependent project · Developing since November 2025
NFL FIRSTHistorical statisticsLive contextExplainable forecasts
From scattered data
to a clearer decision.
We’re developing a connected workflow for fantasy managers: organise the evidence, calculate an outlook, and explain what it means for a particular team.
Explore what could happen.
Compare players and game scenarios using quantitative models. Evaluate forecasts against outcomes and make uncertainty visible.
“How does this change the outlook for my team?”
Make the evidence useful.
Our planned Claude integration will retrieve relevant evidence, answer contextual questions and explain why an outlook has changed.
“What changed, and what can I still do?”
The approach
A forecast should
show its working.
The goal is useful analysis that people can question, compare and understand.
Evidence before explanation
We’re designing the data layer to retain sources, timestamps and metric definitions. Observed facts, estimates and AI interpretations should remain distinguishable.
Calculations and language have different jobs
Statistical models will produce numerical forecasts. Claude’s planned role is to retrieve context and explain those results, with uncertainty and supporting evidence.
Live context, measured honestly
Future live features will depend on available data feeds and their update frequency. Historical replay will help test how an outlook changes using only information available at that moment.
One useful product first
The initial focus is personalised NFL fantasy analysis. Longer-term research includes live outcome analysis, reusable data tools and forecast comparisons, including market-implied probabilities.
Behind Fantasy Fellas
Built from a love of
the game—and the data.
I’m Kyle Kerrigan. I started developing Fantasy Fellas in November 2025, exploring how better data and software can help make sense of fantasy sports.
The project is independently developed and at an early stage. I’m building on existing NFL and fantasy analytics work, with AI integration and a public product still in development.
Get in touch
What would make your weekly decisions easier?
I’d like to hear from fantasy managers, sports-data specialists and potential collaborators.
kyle@fantasyfellas.co.uk