FantasyGPT by Fantasy Football Nerds

FantasyGPT turns FFN data into draft and lineup answers.

FantasyGPT is the decision workspace for Fantasy Football Nerds. It reads the FFN football stack, packages the relevant context, and answers in plain language for managers who need a draft, lineup, waiver, or trade call.

It is built for the practical questions fantasy managers ask all season: who to start, where a player belongs in a draft tier, which waiver add deserves priority, and whether a trade actually improves the roster.

Data layer

Backed by FFN's live football stack

FantasyGPT uses FFN-owned rankings, projections, schedule context, availability notes, ADP views, depth context, and team data so answers line up with the same source of truth as the public tools.

Answer layer

Designed for decisions, not trivia

Ask for a player comparison, late-round target list, lineup lean, trade package read, or waiver priority. FantasyGPT is tuned to lead with a recommendation and then show the context that matters.

Account

One FFN membership underneath

FantasyGPT plans are product-facing, while checkout, account state, and billing are handled by Fantasy Football Nerds so membership stays unified across chat, draft prep, and FFN tools.

Use cases

What FantasyGPT is built to answer

FantasyGPT is strongest when the question has a real roster consequence. It is not a trivia bot or a guarantee machine; it is a way to compress FFN context into a usable fantasy football recommendation.

Lineups Waivers Trades Drafts

Start-sit and lineup choices Compare players by scoring format, matchup, health, role, and projected usage.
Waiver and depth decisions Weigh short-term opportunity, rest-of-season value, roster need, and bench opportunity cost.
Trade and roster planning Read multi-player offers, position scarcity, team construction, risk tolerance, and keeper or dynasty windows.
Draft and market value Use tiers, rankings, ADP, projections, and roster build to decide whether a player is worth the pick.

Decision workflow

What happens between a question and an answer

FantasyGPT is organized around decision context. A good answer starts by understanding the job, then pulls the football evidence that can actually change the recommendation.

Intent first Evidence pulled Recommendation led

Classify the decision The app separates draft, lineup, trade, waiver, injury, and comparison questions so the response can use the right context.
Build a compact case file Rankings, projections, role signals, schedule context, market price, and availability are pulled together before the answer is written.
Explain the tradeoff The answer should make the lean clear, then show the risk, confidence, and settings that could flip the call.

Trust model

How answers stay grounded

FantasyGPT should be useful when the data is strong and explicit when the data is limited. League sync is opt-in through connected Sleeper leagues or Yahoo accounts; it is not a betting engine or black-box guarantee.

FFN data first Opt-in league sync Billing through FFN

Freshness matters Answers should reflect the latest public FFN data layer available to the app, including rankings, projections, availability, and schedule context.
Assumptions are visible When a question needs league settings, roster format, or scoring context that is not connected, FantasyGPT should ask for it or state the assumption it used.
Elite depth is scoped Pro and Elite plans are for deeper analysis, larger daily decision budgets, and more advanced command access, not fabricated certainty.
Your league context still matters Connected rosters, scoring, matchup, waiver budget, and risk tolerance can change the answer, so league-specific advice uses those details when available.