An agentic workforce that researches your league, evaluates your options and recommends the best path forward.
Specialist digital workers continuously analyse your league, evaluate trade-offs and surface the moves most likely to improve your season — saving you hours every week and helping you make better fantasy sports decisions.
Find your edge. Move with confidence. Defend your decisions.

It's won by better decisions.
Should I make this trade?
Who should I add from waivers?
Can I win this matchup?
Should I stream or hold?
What categories matter most?
How does my roster compare?
The Platform
Every feature answers one management question.

Understand your league before making your next move.
Contenders, scarce categories, market trends — in one view.
Explore
Find trades that improve your team without helping your rivals.
Fit, timing, league impact and whether the other manager will say yes.
Explore
The best available player isn't always the best pickup.
Roster fit, schedule windows, category needs and long-term value.
Explore
Know exactly where this week will be won.
Scout your opponent, review last week and build your category game plan.
Explore
When the answer isn't obvious, ask the room.
Specialist digital GMs examine the decision from multiple perspectives.
Explore
Set the lineup. Test the matchup. Find the edge.
Simulate scenarios and lineup decisions before the week begins.
ExploreArchitecture
Not one AI guessing at your roster. A layered system where each step adds context before a recommendation reaches you.
Data Sources
Player stats, schedules, injuries, league settings, rosters.
Prediction Models
Machine-learned projections for production, availability and opportunity.
Decision Engines
Specialist engines analyse roster fit, strategy and league context.
Agentic Workforce
Digital scouts, analysts and GMs collaborate before producing recommendations.
Recommendations
Contextualised actions with expected impact and trade-offs.
Decision Review
Every recommendation measured against what actually happened.
Learn
The platform improves as more decisions are captured and evaluated.
Data Sources
Player stats, schedules, injuries, league settings, rosters.
Prediction Models
Machine-learned projections for production, availability and opportunity.
Decision Engines
Specialist engines analyse roster fit, strategy and league context.
Agentic Workforce
Digital scouts, analysts and GMs collaborate before producing recommendations.
Recommendations
Contextualised actions with expected impact and trade-offs.
Decision Review
Every recommendation measured against what actually happened.
Learn
The platform improves as more decisions are captured and evaluated.
Why It's Different
The same player can be perfect for one team and wrong for another. Every decision is evaluated against your specific roster, strategy and league.
Every recommendation includes its reasoning — what changed, why it matters and what impact to expect.
Every move is evaluated against the outcome that matters: improving your championship odds.
Decision Review tracks what was recommended, what was followed and whether it worked. The platform and the manager both improve.
Spend less time gathering information and more time making decisions you can stand behind.