Engineering software from first principles.
Rueter Labs is the home for algorithmic sports ranking systems, recommendation engines, and software experiments. Transparent math, objective data, zero subjective priors.
Active Flagships 2 Live
Rueter Matrix Method
An objective, least-squares matrix rating and predictive forecasting model for NCAA Division I FBS football. Solves team strength and league-wide home-field advantage simultaneously from final scores alone.
CineHound
Sniff out your next favorite film. A personalized movie recommendation engine powered by collaborative filtering over the MovieLens 25M dataset, enriched with live TMDB streaming providers and trailers.
In the Pipeline Research & Prototypes
Stochastic possession and pace simulation engine for NCAA Division I men's hockey, modeling tournament paths and PairWise ranking dynamics.
Algorithmic study of cyclical strengths, rock-paper-scissors dynamics in sporting schedules, and non-transitive matrix properties.
About the Workshop
Building objective data and software systems. Committed to verifiable results, transparent derivation, reproducible mathematical code, and clean user interfaces.