This inventor holds 1 USPTO granted patent. Top assignee: Stats LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Matthew Thomas O’Connor: Inventor of a Graph-Based Pitch Prediction Method.
Introduction
Matthew Thomas O’Connor is an inventor based in Chicago, Illinois. His patent work concerns the use of graph-based machine learning to predict pitches in baseball.
Latest Patents
O’Connor is associated with one patent, titled “Graph Based Method of Next Pitch Prediction.” The invention describes a computing system that combines pitch-by-pitch records with game-context information and converts them into graph-based representations. A graph neural network learns from these representations to predict pitch types. Once trained, the network uses current pitching and game-context information to predict the type of the next pitch.
Career Highlights
O’Connor is associated with Stats LLC, a company focused on sports data and analytics. His patent reflects an application of graph neural networks to baseball strategy and pitch prediction. He is credited with 1 patent.
Collaborations
O’Connor’s listed coworkers include Daniel Edison Marley and Alexander Nicholas Ottenwess. The patent’s described system brings together pitch data, game context, and machine learning to support next-pitch prediction.
Conclusion
Matthew Thomas O’Connor’s patent presents a graph-based approach to predicting baseball pitches, connecting sports data and neural-network methods in a practical analytics application.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
