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：US20230274159A1

公开(公告)日：2023-08-31

申请号：US18313050

申请日：2023-05-05

申请人： STATS LLC

发明人： Panna Felsen ,  Sujoy Ganguly ,  Patrick Lucey

IPC分类号： G06N5/02 ,  G06N5/04 ,  G06N20/00

CPC分类号： G06N5/02 ,  G06N5/04 ,  G06N20/00

摘要： A system and method for predicting multi-agent locations is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a conditional variational autoencoder. The conditional variational autoencoder learns one or more paths a subset of agents of the plurality of agents are likely to take. The computing system receives tracking data from a tracking system positioned remotely in a venue hosting a candidate sporting event. The computing system identifies one or more candidate agents for which to predict locations. The computing system infers, via the predictive model, one or more locations of the one or more candidate agents. The computing system generates a graphical representation of the one or more locations of the one or more candidate agents.

公开(公告)号：US20190228306A1

公开(公告)日：2019-07-25

申请号：US16254128

申请日：2019-01-22

申请人： STATS LLC

发明人： Paul Power ,  Jennifer Hobbs ,  Patrick Lucey

IPC分类号： G06N3/08 ,  G06N20/00

摘要： A method of identifying a defensive alignment and an offensive alignment in a set-piece is disclosed herein. A computing system receives one or more streams of tracking data. The computing system identifies a set-piece contained in the one or more streams of tracking data. The computing system identifies a defensive alignment of a first team and an offensive alignment of a second team. The computing system extracts, via a convolutional neural network, one or more features corresponding to a type of defensive alignment implemented by the first team by passing the set-piece through the convolutional neural network. The computing system scans the set-piece, via a machine learning algorithm, to identify one or more features indicative of a type of offensive alignment implemented by the second team. The computing system infers the type of defensive alignment implemented by the first team.

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：US20240221177A1

公开(公告)日：2024-07-04

申请号：US18401006

申请日：2023-12-29

申请人： Stats LLC

发明人： Harry Hughes ,  Michael John Horton ,  Felix Wei ,  Patrick Lucey

IPC分类号： G06T7/20 ,  G06T7/70 ,  G06V20/40

CPC分类号： G06T7/20 ,  G06T7/70 ,  G06V20/44 ,  G06T2207/30241

摘要： A method for tracking one or more individuals during a sporting event, the method including: receiving, as an input, a geospatial data of a sporting event; receiving, as an input, labeled event data of the sporting event; performing multi-object tracking of one or more agents of the geospatial data to determine one or more vectors; inputting the labeled event data and one or more vectors into a diffusion model; and determining, using the diffusion model, one or more trajectory sequences for the one or more agents.

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：US11645546B2

公开(公告)日：2023-05-09

申请号：US16254037

申请日：2019-01-22

申请人： STATS LLC

发明人： Panna Felsen ,  Sujoy Ganguly ,  Patrick Lucey

IPC分类号： G06N5/02 ,  G06N5/04 ,  G06N20/00

CPC分类号： G06N5/02 ,  G06N5/04 ,  G06N20/00

摘要： A system and method for predicting multi-agent locations is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a conditional variational autoencoder. The conditional variational autoencoder learns one or more paths a subset of agents of the plurality of agents are likely to take. The computing system receives tracking data from a tracking system positioned remotely in a venue hosting a candidate sporting event. The computing system identifies one or more candidate agents for which to predict locations. The computing system infers, via the predictive model, one or more locations of the one or more candidate agents. The computing system generates a graphical representation of the one or more locations of the one or more candidate agents.

公开(公告)号：US10204300B2

公开(公告)日：2019-02-12

申请号：US15627296

申请日：2017-06-19

申请人： STATS LLC

发明人： Patrick Lucey ,  Long Sha ,  Xinyu Wei

IPC分类号： G06N3/04 ,  A63F13/35 ,  G06N3/08 ,  A63F13/25 ,  A63F13/812 ,  G06N99/00 ,  A63F13/65

摘要： A system is described for interactively analyzing plays of a sporting event based on real-world positional tracking data. Using positional information regarding the players and/or ball and/or other objects obtained from a tracking system, along with identified event data and contextual information, the system processes a library of plays (e.g., one or more seasons' worth of a league's contests) into a searchable database of plays using multiple alignment templates and discriminative clustering techniques. A user interface is described for interacting with the database in a graphical manner, whereby users can query a graphical depiction of a play and receive the most similar plays from the library, along with statistical information relating to the plays. The user interface further permits the user to modify the query graphically (e.g., moving or exchanging players, ball trajectories, etc.) and obtain updated statistical information for comparison.

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：US20190228316A1

公开(公告)日：2019-07-25

申请号：US16254037

申请日：2019-01-22

申请人： STATS LLC.

发明人： Panna Felsen ,  Sujoy Ganguly ,  Patrick Lucey

IPC分类号： G06N5/02 ,  G06N20/00 ,  G06N5/04

摘要： A system and method for predicting multi-agent locations is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a conditional variational autoencoder. The conditional variational autoencoder learns one or more paths a subset of agents of the plurality of agents are likely to take. The computing system receives tracking data from a tracking system positioned remotely in a venue hosting a candidate sporting event. The computing system identifies one or more candidate agents for which to predict locations. The computing system infers, via the predictive model, one or more locations of the one or more candidate agents. The computing system generates a graphical representation of the one or more locations of the one or more candidate agents.