Fantasy football AI that shows its work
Ask any draft, trade, or start/sit question. You get a call tied to a price, the reasoning behind it, and a citation on every factual claim, built from live rankings, analyst insights, and play-by-play usage rather than a model’s memory.
Ask better.
Draft sharper.
How the fantasy football AI works
It retrieves before it answers
Your question is matched against the player board, then the assistant pulls the relevant insights, usage rollups, and projections. Nothing is answered from model memory.
It reasons like an analyst
Before writing, it separates trait, role, environment, and price, works out which link in the chain the call depends on, and builds a base, upside, and downside case.
It commits to a call, with the receipts
You get a verdict tied to a price, the mechanism behind it, the strongest opposing case, and the one observation that would prove it wrong. Every factual claim carries a citation.
What data it pulls from
Analyst insights from our source pipeline
Beat writers, podcasts, and film analysts, parsed into per-player claims with the original source attached so you can check the quote.
Play-by-play usage
Snap, route, target, carry, red-zone, and end-zone data rolled up per player per week, so a claim about someone's role is backed by how the ball actually moved.
Rankings, projections, and ADP
The STACKED board plus market ADP across Underdog, Sleeper, Yahoo, and ESPN, so every call is priced against what a pick actually costs.
Questions it answers well
- Should I draft De'Von Achane or Bijan Robinson at 1.05 in half PPR?
- Is Jaylen Waddle a buy at his current ADP?
- Which running backs got the most red-zone work last season?
- Trade evaluation: my Josh Jacobs for their Nico Collins in a 12-team PPR league
- Who should I start at flex this week, and what would change your answer?
Fantasy football AI questions
Is this fantasy football AI free?
Yes. There is no account, no trial, and no payment. You can ask 30 questions per hour without signing in, and 60 if you have a STACKED account. The cap only exists to stop scraping.
What data does the AI use?
Three things: analyst insights parsed from our source pipeline, play-by-play usage rolled up per player per week, and STACKED rankings and projections alongside market ADP from Underdog, Sleeper, Yahoo, and ESPN.
How is this different from asking ChatGPT about fantasy football?
A general chatbot answers from training data that has no idea what happened in your league or last week's snap counts, and it cannot show you where a claim came from. This assistant retrieves current STACKED data first and cites an evidence ID for every factual claim, so you can check the source rather than trust the model.
Can it answer questions about my league?
It answers format-aware questions if you give it the format: scoring, league size, roster requirements, and the price you would pay. Tell it you are in a 12-team half-PPR league picking at 1.05 and the answer changes accordingly.
Does it just make things up?
It is constrained to the evidence it retrieves and is instructed never to invent a statistic, ranking, injury, or news item. When the evidence cannot support a call, it says so and names the missing detail instead of guessing.
What kinds of questions work best?
Decisions. Draft picks at a stated position, trade offers with both sides named, start/sit calls, and buy or fade questions on a specific player. Vague questions get vague answers, in fantasy football and everywhere else.