Chicago, IL, United States of America

Matthew Thomas O'Connor

This inventor holds 1 USPTO granted patent. Top assignee: Stats LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Thomas O'Connor. Retrieved from https://idiyas.com/inventor/matthew-thomas-o-connor

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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