The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 15, 2026

Filed:

Apr. 09, 2021
Applicant:

Stats Llc, Chicago, IL (US);

Inventors:

Daniel Edison Marley, Chesterton, IN (US);

Matthew Thomas O'connor, Chicago, IL (US);

Alexander Nicholas Ottenwess, Chicago, IL (US);

Aiman Sherani, Chicago, IL (US);

Matthew Holbrook, Chicago, IL (US);

Assignee:

STATS LLC, Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); A63B 102/18 (2015.01);
U.S. Cl.
CPC ...
A63B 24/0021 (2013.01); A63B 24/0062 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); A63B 2024/0034 (2013.01); A63B 2024/0056 (2013.01); A63B 2102/18 (2015.10);
Abstract

A system and method for predicting next pitch are disclosed herein. A computing system retrieves pitch-by-pitch information for a plurality of events and game context information associated with each pitch in the pitch-by-pitch information. The computing system converts the pitch-by-pitch information and the game context information into a plurality of graph-based representation. A graph neural network learns to generate a pitch type prediction for each pitch based on the plurality of graph-based representations. The computing system generates a trained graph neural network based on the learning. The computing system receives a current graph-based representation of current pitch-by-pitch information for a current pitcher and current game context information. The computing system predicts, via the trained graph neural network, a pitch type for the next pitch to be delivered from the current pitcher.


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