Choose your scoring.
Switch between Standard, Half-PPR and PPR to see performance in the scoring format that matters to you.
Fantasy football / Built around the data
Go beyond
the box score.
Compare NFL players, follow their weekly usage and inspect the numbers behind a fantasy performance. Working analytics today. Evidence-led AI analysis next.
Independent project · Developing since November 2025
NFL FIRSTPlayer statisticsWeekly opportunityGame-by-game context
What’s already built
A score is the start
of the question.
Was it more opportunity, better efficiency or one exceptional game? Fantasy Fellas brings the comparison and the game log into the same research workflow.
Explore the player table.
Sort player statistics, open individual player details and customise the columns you want to compare.
Keep working with the data.
Export a CSV from the stats dashboard for your own comparisons and further research.
Follow the evidence.
Player by player.
The research workspace adds adjustable week windows, player comparisons, game logs and usage charts. These are captures from the working tool, taken on 7 October 2026.
Put a performance in context.
Compare target share with yards per target, then change the axes or the player pool inside the workspace. The view makes opportunity and efficiency easier to examine together.
See how a role changes.
Follow targets, receptions, carries and red-zone opportunities over time. Weekly views help separate sustained involvement from a single high-scoring result.
Check the game behind the total.
Inspect snaps, opportunities and production game by game. Workload expected PPR sits alongside observed offense PPR, so a model estimate remains distinct from the recorded result.
Screenshots show the captured data and filters, not a live feed. Select an image to inspect it at full size. The analysis workspace is currently private.
Next / Planned Claude integrationFrom exploring data
From exploring data
to asking better questions.
The next step is to connect this analytics foundation to Claude, so fantasy managers can ask questions about players, roster choices and changing game context.
The Claude API integration is in development. The screenshots above show the existing analytics tools.
Retrieve the relevant evidence.
Use Claude with retrieval and tools to find the statistics, news and game context relevant to a question, retaining sources and timestamps.
Connect updates to the numbers.
Extract structured information from updates and link it to players, games and quantitative model outputs. Keep observed facts separate from estimates.
Explain the outlook and its limits.
Answer roster-specific questions and explain why an outlook changed, with supporting evidence, data freshness and uncertainty visible.
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
Live analysis will depend on feed coverage and update frequency. Broader live analysis and forecast updates remain development work. We intend to test them against historical outcomes.
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 NFL stats app and private research workspace are the foundation. I’m now developing the data connections and Claude integration needed to turn that work into a more complete product for fantasy managers.
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