Uncertain Edge

 Our in-app documentation includes a Getting Started Guide, but generally, our tools are designed to be used in sequence. Users typically begin their research with Player and Stack metrics to define their approach for each slate, then move into an iterative lineup-building process, and finally, simulate those lineups to explore potential outcomes.

 We’re currently in beta as we fine-tune our data feeds and optimize performance at scale. Our roadmap includes plans for supporting additional sites, sports, and contest types. We’re also working on a suite of sports analytics tools that extend beyond DFS. 

 Fantasy sports can be unpredictable. We’ve all had those moments—like when your star QB gets injured in the second half, derailing a perfect lineup. Our data tools are designed to give you an edge, but we also recognize the inherent variability in sports. 

 There’s a wealth of great fantasy sports content out there—articles, podcasts, videos, and daily shows. We’re not competing in that space. While we do have some strategy-based articles in the works, our primary goal is to provide statistically sound data science tools that seamlessly integrate into your existing DFS process.
Data Tools, not Touts. 

Data and Experience. 

We leverage professional data feeds and advanced AI techniques to deliver the best experience possible. Our feature-rich dataset includes nearly every imaginable stat and millions of historical lineups. We continuously backtest our models and use an iterative feedback loop to adapt to the ever-changing "meta" of DFS.
With over a decade of experience in data science, leading analytics teams in professional sports, and achieving DFS success ourselves, we’ve built these tools to help you do the same.