How Far Ahead Should Managers be Planning? Introducing the Series Solver
We extended our algorithm to optimize with respect to future games. We simulated hundreds of thousands of games managed by this new algorithm and the results were fascinating.
The optimal play,
every time.
Walk-Off Labs builds tools that help baseball teams turn data into actionable insights. We combine statistics, machine learning, and game theory to give you the edge.
What we do
Every team in baseball has access to the same matchup models and probability estimates. The difference is knowing what to do with them.
Our platform, Perfect Game, uses game theory and advanced optimization to find the plays that maximize your chances of winning—not just the plays that look good on paper.
Our team
Meet the team →
Tristan Mott
Research Scientist
BYU
Caleb Bradshaw
Research Engineer
Walk-Off Labs
David Grimsman
Professor of CS
BYU
Chris Archibald
Professor of CS
BYU
Latest posts
Introducing Perfect Game
Meet Perfect Game, our platform that uses game theory to help baseball teams make optimal decisions throughout every game.
Quantifying and Optimizing Baseball Decision-Making
In-game decision-making in baseball is a complex art. We break it down into quantifiable components and then optimize them.