公开(公告)号：US20230088484A1

公开(公告)日：2023-03-23

申请号：US17934013

申请日：2022-09-21

申请人： STATS LLC

发明人： Fady Abdelmalek ,  Matjaz Ales ,  Karl Ferk ,  Filip Glojnaric ,  Hector Ruiz ,  Christian Marko ,  Caner Bas ,  Claudio Bridi ,  Demetre Iobashvili

IPC分类号： A63B71/06 ,  H04N21/2187 ,  H04N21/81 ,  G06N20/00

摘要： A computing system receives live event data corresponding to a live game. The live event data includes events occurring within the live game. The computing system analyzes the live event data to identify a potential error in the live event data. The computing system generates a ticket corresponding to the potential error flagged in the live event data. The computing system assigns the ticket to a first quality assurance agent to resolve. The computing system receives an indication that the ticket has been reviewed by the first quality assurance agent. the computing system provides the reviewed event data to an end user.

公开(公告)号：US20190228290A1

公开(公告)日：2019-07-25

申请号：US16254108

申请日：2019-01-22

申请人： STATS LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Lucey

IPC分类号： G06N3/04 ,  G06N3/08 ,  G06N20/20

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

公开(公告)号：US20230381624A1

公开(公告)日：2023-11-30

申请号：US18323203

申请日：2023-05-24

申请人： STATS LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Lucey

IPC分类号： A63B71/06 ,  G06N3/08 ,  G06N3/042 ,  G06N3/045 ,  G06N20/20

CPC分类号： A63B71/0605 ,  G06N3/08 ,  A63B71/0622 ,  G06N3/042 ,  G06N3/045 ,  G06N20/20 ,  A63B71/0616

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

公开(公告)号：US20240165484A1

公开(公告)日：2024-05-23

申请号：US18425901

申请日：2024-01-29

申请人： Stats LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Joseph Lucey

IPC分类号： A63B71/06 ,  G06N3/042 ,  G06N3/045 ,  G06N3/08 ,  G06N20/20

CPC分类号： A63B71/0605 ,  A63B71/0622 ,  G06N3/042 ,  G06N3/045 ,  G06N3/08 ,  G06N20/20 ,  A63B71/0616

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

公开(公告)号：US20230191229A1

公开(公告)日：2023-06-22

申请号：US18168299

申请日：2023-02-13

申请人： STATS LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Lucey

IPC分类号： A63B71/06 ,  G06N3/08 ,  G06N3/042 ,  G06N3/045 ,  G06N20/20

CPC分类号： A63B71/0605 ,  G06N3/08 ,  A63B71/0622 ,  G06N3/042 ,  G06N3/045 ,  G06N20/20 ,  A63B71/0616

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

公开(公告)号：US11679299B2

公开(公告)日：2023-06-20

申请号：US16804964

申请日：2020-02-28

申请人： STATS LLC

发明人： Paul David Power ,  Aditya Cherukumudi ,  Sujoy Ganguly ,  Xinyu Wei ,  Long Sha ,  Jennifer Hobbs ,  Hector Ruiz ,  Patrick Joseph Lucey

IPC分类号： A63B24/00 ,  G06N3/08 ,  G06N20/00

CPC分类号： A63B24/0006 ,  A63B24/0021 ,  A63B24/0062 ,  A63B24/0087 ,  G06N3/08 ,  G06N20/00

摘要： A method of generating a player prediction is disclosed herein. A computing system retrieves data from a data store. The computing system generates a predictive model using an artificial neural network. The artificial neural network generates one or more personalized embeddings that include player-specific information based on historical performance. The computing system selects, from the data, one or more features related to each shot attempt captured in the data. The artificial neural network learns an outcome of each shot attempt based at least on the one or more personalized embeddings and the one or more features related to each shot attempt.

公开(公告)号：US11577145B2

公开(公告)日：2023-02-14

申请号：US16254108

申请日：2019-01-22

申请人： STATS LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Lucey

IPC分类号： G06N20/20 ,  A63B71/06 ,  G06N3/08 ,  G06N3/04

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

公开(公告)号：US20190224556A1

公开(公告)日：2019-07-25

申请号：US16254088

申请日：2019-01-22

申请人： STATS LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Lucey

IPC分类号： A63B71/06 ,  G06N3/04 ,  G06N3/08

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

公开(公告)号：US20230330485A1

公开(公告)日：2023-10-19

申请号：US18336474

申请日：2023-06-16

申请人： STATS LLC

发明人： Paul David Power ,  Aditya Cherukumudi ,  Sujoy Ganguly ,  Xinyu Wei ,  Long Sha ,  Jennifer Hobbs ,  Hector Ruiz ,  Patrick Joseph Lucey

IPC分类号： A63B24/00 ,  G06N3/08 ,  G06N20/00

CPC分类号： A63B24/0006 ,  G06N3/08 ,  A63B24/0087 ,  A63B24/0021 ,  A63B24/0062 ,  G06N20/00

摘要： A method of generating a player prediction is disclosed herein. A computing system retrieves data from a data store. The computing system generates a predictive model using an artificial neural network. The artificial neural network generates one or more personalized embeddings that include player-specific information based on historical performance. The computing system selects, from the data, one or more features related to each shot attempt captured in the data. The artificial neural network learns an outcome of each shot attempt based at least on the one or more personalized embeddings and the one or more features related to each shot attempt.

公开(公告)号：US11660521B2

公开(公告)日：2023-05-30

申请号：US16254088

申请日：2019-01-22

申请人： STATS LLC

发明人： Hector Ruiz ,  Sujoy Ganguly ,  Nathan Frank ,  Patrick Lucey

IPC分类号： A63B71/06 ,  G06N3/08 ,  G06N20/20 ,  G06N3/042 ,  G06N3/045 ,  G06N3/04

CPC分类号： A63B71/0605 ,  A63B71/0622 ,  G06N3/042 ,  G06N3/045 ,  G06N3/08 ,  G06N20/20 ,  A63B71/0616

摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.