Dynasty and keeper value
Compare long-term player value using production, age, role, draft class, and league format instead of relying on a generic leaderboard.
Fantasy Sports AI
A fantasy sports assistant grounded in real data
Ask roster, player, schedule, and draft questions in plain English. EdgeFinder combines league-specific statistics, role changes, injuries, schedules, and market context so fantasy analysis starts from evidence instead of generic model memory.
- NFL, NBA, and MLB
- Roster-aware questions
- Current and historical data
Fantasy analysis for the questions managers actually ask
EdgeFinder routes each question to league-specific research tools, then explains the result with the relevant sample, season, and limitations.
Category and points rankings
Research NBA nine-category value, points-league sleepers, qualified leaderboards, and category-specific strengths with the requested scoring context.
Rookies and breakouts
Evaluate NFL draft classes, rookie landing spots, historical production, ADP gaps, role changes, and the assumptions behind a breakout case.
Schedules and DFS
Analyze fantasy playoff schedules, position-specific matchups, survivor strategy, and DraftKings lineup or value-play questions when slate data is available.
Workflows
One assistant across the fantasy calendar
Draft season
Build rankings, identify sleepers outside an ADP range, compare rookies, and explain the upside and risk behind each target.
In-season decisions
Ask about injuries, changing usage, schedules, team context, or player trends without translating the question into filters first.
Dynasty management
Create trade-value boards and compare players across age, production, role, and multi-year context.
Example
Ask a complete fantasy question
Include the league format and decision boundary. EdgeFinder uses those constraints when selecting data and explaining the answer.
EdgeFinder context
Give me 10 NBA fantasy sleepers for a 12-team points league.
Exclude anyone inside the top 50 in current ADP.
Show projected rank, value gap, upside case, and risk.Frequently asked questions
What teams need to know
Can EdgeFinder analyze my fantasy roster?
Yes. In supported integrations, provide the roster and relevant league settings as structured context. In chat, you can paste the roster and describe the scoring format.
Does EdgeFinder support dynasty and keeper formats?
Yes. EdgeFinder supports dynasty trade-value and keeper-style research where age, production, role, and league format matter alongside current-season statistics.
Can fantasy apps embed EdgeFinder?
Yes. Businesses can send roster, scoring, matchup, trade, and user-state context through the EdgeFinder Platform API and return the analysis inside their own product.
Put EdgeFinder in the workflow
Use EdgeFinder directly, or integrate the sports intelligence platform through the API, SDK, and supported agent interfaces.