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：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.

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：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：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.